Data Science, Systems and Security Publications and Research Projects

Yan, Hanqi, Gui, Lin, Wang, Menghan, Zhang, Kun, He, Yulan, 2024. Explainable recommender with geometric information bottleneck. IEEE Transactions on Knowledge and Data Engineering
Wang, Jun, Bhalerao, Abhir, Yin, Terry, See, Simon, He, Yulan, 2024. CAMANet : class activation map guided attention network for radiology report generation. IEEE Journal of Biomedical and Health Informatics, pp. 1-12
Ouyang, Jinhui, Yu, Mingxia, Yu, Weiren, Qin, Zheng, Regan, Amelia C., Wu, Di, 2024. TPGraph : A spatial-temporal graph learning framework for accurate traffic prediction on arterial roads. IEEE Transactions on Intelligent Transportation Systems, pp. 1-16
Zachos, Ioannis, Damoulas, Theodoros, Girolami, Mark, 2024. Table inference for combinatorial origin-destination choices in agent-based population synthesis. Stat, 13 (1)
Walsh, J., Kesa, Oluwafunmilola, Wang, A., Ilas, M., O'Hara, P., Giles, O., Dhir, N., Girolami, M., Damoulas, Theodoros, 2024. Near real-time social distancing estimation in London. The Computer Journal, 67 (1), pp. 95-109
Siklósi, Bálint, Mudalige, Gihan R., Reguly, István Z., 2024. Enabling Bitwise reproducibility for the unstructured computational motif. Applied Sciences, 14 (2)
Wright, Steven A., Ridgers, Christopher, Mudalige, Gihan R., Lantra, Zaman, Williams, Josh, Sunderland, Andrew, Thorne, Sue, Arter, Wayne, 2024. Developing performance portable plasma edge simulations : a survey. Computer Physics Communications, 298
Wang, Shen, Delavar, Mahshid, Azad, Muhammad Ajmal, Nabizadeh, Farshad, Smith, Steve, Hao, Feng, 2024. Spoofing against spoofing : towards caller ID verification in heterogeneous telecommunication systems. ACM Transactions on Privacy and Security, 27 (1), pp. 1-25
Druliac, Horia, Bardsley, Matthew, Riches, Chris, Dunn, Christian, Harrison, Luke, Roy, Bimal, Hao, Feng, 2024. On the feasibility of E2E verifiable online voting ? a case study from Durga Puja trial. Journal of Information Security and Applications, 81
Zhou, Yujue, Jiang, Jie, Yang, Shuang-Hua, He, Ligang, Ding, Yulong, Liu, Kai, Zhu, Guozhong, Qing, Yali, 2024. A data distillation enhanced autoencoder for detecting anomalous gas consumption. IEEE Internet of Things Journal, 11 (2), pp. 3473-3483
Lin, Wenjun, Lin, Weiwei, Lin, Jianpeng, Zhong, Haocheng, Wang, Jiangtao, He, Ligang, 2024. A multi-agent reinforcement learning-based method for server energy efficiency optimization combining DVFS and dynamic fan control. Sustainable Computing: Informatics and Systems, 42
Cormode, Graham, Karnin, Zohar, Liberty, Edo, Thaler, Justin, Veselý, Pavel, 2023. Relative error streaming quantiles. Journal of the ACM, 70 (5), pp. 1-48
Liang, Bin, Yin, Rongdi, Du, Jiachen, Gui, Lin, He, Yulan, Yang, Min, Xu, Ruifeng, 2023. Embedding refinement framework for targeted aspect-based sentiment analysis. IEEE Transactions on Affective Computing, 14 (1), pp. 279-293
Li, Xinglin, Deng, Hanhui, Ouyang, Jinhui, Wan, Huayan, Yu, Weiren, Wu, Di, 2023. Act as what you think : towards personalized EEG interaction through attentional and embedded LSTM learning. IEEE Transactions on Mobile Computing, pp. 1-13
Hua, Dingli, Ren, Yuanhong, Wang, Xing, Li, Qiang, Yu, Weiren, 2023. Event-triggered H? asynchronous control for 2-D switched system in FMLSS model. Circuits, Systems, and Signal Processing, 42 (10), pp. 5868-5892
Liu, Xinxin, Yu, Weiren, 2023. Individuality-enhanced and multi-granularity consistency-preserving graph neural network for semi-supervised node classification. Applied Intelligence, 53, pp. 27608-27623
Haldar, Aparajita, Wang, Shuang, Demirci, Gunduz Vehbi, Oakley, Joe, Ferhatosmanoglu, Hakan, 2023. Temporal cascade model for analyzing spread in evolving networks. ACM Transactions on Spatial Algorithms and Systems, 9 (2)
Brown, Suzie, Jenkins, Paul, Johansen, Adam M., Koskela, Jere, 2023. Weak convergence of non-neutral genealogies to Kingman's coalescent. Stochastic Processes and their Applications, 162, pp. 76-105
Jenkins, Paul, Pollock, M., Roberts, Gareth O., 2023. Flexible Bayesian inference for diffusion processes using splines. Methodology & Computing in Applied Probability, 25
Zhang, Ying, Akyildiz, Ömer Deniz, Damoulas, Theodoros, Sabanis, Sotirios, 2023. Nonasymptotic estimates for Stochastic Gradient Langevin Dynamics under local conditions in nonconvex optimization. Applied Mathematics and Optimization, 87
Perera, Shanaka, Aglietti, Virginia, Damoulas, Theodoros, 2023. On the competitive facility location problem with a Bayesian spatial interaction model. Journal of the Royal Statistical Society Series C: Applied Statistics, 72 (1), pp. 165-187
Wu, Wentai, He, Ligang, Lin, Weiwei, Maple, Carsten, 2023. FedProf : selective federated learning based on distributional representation profiling. IEEE Transactions on Parallel and Distributed Systems, 34 (6), pp. 1942-1953
Zhao, J., Zhang, Y., He, Ligang, Li, Q., Zhang, X., Jiang, X., Yu, H., Liao, X., Jin, H., Gu, L., Liu, H., He, B., Zhang, J., Song, X., Wang, L., Zhou, J., 2023. GraphTune : an efficient dependency-aware substrate to alleviate irregularity in concurrent graph processing. ACM Transactions on Architecture and Code Optimization (TACO), 20 (3)
Lin, Xufeng, Li, Chang-Tsun, Adams, Scott, Kouzani, Abbas Z., Jiang, Richard, He, Ligang, Hu, Yongjian, Vernon, Michael, Doeven, Egan, Webb, Lawrence, Mcclellan, Todd, Guskich, Adam, 2023. Self-supervised leaf segmentation under complex lighting conditions. Pattern Recognition, 135
Zhao, Rong, Gu, Zhuoer, Han, Xie, He, Ligang, Sun, Fusheng, Jiao, Shichao, 2023. Multi-view stereo network with point attention. Applied Intelligence, 53 (22), pp. 26622-26636
Alghamdi, Mohammed H., He, Ligang, Ren, Shenyuan, Maray, Mohammed, 2023. Efficient parallel processing of all-pairs shortest paths on multicore and GPU systems. IEEE Transactions on Consumer Electronics
Wu, W., Shi, X., He, Ligang, Jin, H., 2023. TurboGNN : improving the end-to-end performance for sampling-based GNN training on GPUs. IEEE Transactions on Computers, 72 (9), pp. 2571-2584
Shi, Xuanhua, Peng, Xuan, He, Ligang, Zhao, Yunfei, Jin, Hai, 2023. Waterwave : a GPU memory flow engine for concurrent DNN training. IEEE Transactions on Computers, 72 (10), pp. 2938-2950
'Huang, Ziyue, 'Qiu, Yuan, 'Yi, Ke, 'Cormode, Graham, 2022. 'Frequency estimation under multiparty differential privacy : one-shot and streaming. Proceedings of the VLDB Endowment, 15 (10), pp. 2058-2070
'Salawu, Semiu, 'Lumsden, Jo, 'He, Yulan, 2022. 'A mobile-based system for preventing online abuse and cyberbullying. International Journal of Bullying Prevention, 4 (1), pp. 66-88
Adewoyin, Rilwan A., Dueben, Peter, Watson, Peter, He, Yulan, Dutta, Ritabrata, 2022. TRU-NET : a deep learning approach to high resolution prediction of rainfall. Machine Learning, 110 (8), pp. 2035-2062
Yan, Hanqi, Gui, Lin, He, Yulan, 2022. Hierarchical interpretation of neural text classification. Computational Linguistics, 48 (4), pp. 987-1020
'Athanassoulis, Manos, 'Triantafillou, Peter, 'Appuswamy, Raja, 'Bordawekar, Rajesh, 'Chandramouli, Badrish, 'Cheng, Xuntao, 'Manolescu, Ioana, 'Papakonstantinou, Yannis, 'Tatbul, Nesime, 2022. 'Artifacts availability & reproducibility (VLDB 2021 Round Table). ACM SIGMOD Record, 51 (2), pp. 74-77
Ma, Qingzhi, Triantafillou, Peter, 2022. Query-centric regression. Information Systems, 104
'Yu, Weiren, 'McCann, Julie, 'Zhang, Chengyuan, 'Ferhatosmanoglu, Hakan, 2022. 'Scaling high-quality pairwise link-based similarity retrieval on billion-edge graphs. ACM Transactions on Information Systems, 40 (4)
'Zhu, Lei, 'Song, Jiayu, 'Yang, Zhan, 'Huang, Wenti, 'Zhang, Chengyuan, 'Yu, Weiren, 2022. 'DAP2CMH : deep adversarial privacy-preserving cross-modal hashing. Neural Processing Letters, 54, pp. 2549-2569
'Bezerra, Pamela, 'Chen, Po-Yu, 'McCann, Julie A., 'Yu, Weiren, 2022. 'Adaptive monitor placement for near real-time node failure localisation in wireless sensor networks. ACM Transactions on Sensor Networks, 18 (1), pp. 1-41
Yu, Weiren, Iranmanesh, Sima, Haldar, Aparajita, Zhang, Maoyin, Ferhatosmanoglu, Hakan, 2022. RoleSim* : scaling axiomatic role-based similarity ranking on large graphs. World Wide Web, 25 (2), pp. 785-829
'Ignatieva, Anastasia, 'Hein, Jotun, 'Jenkins, Paul A., 2022. 'Ongoing recombination in SARS-CoV-2 revealed through genealogical reconstruction. Molecular Biology and Evolution, 39 (2)
Mider, Marcin, Jenkins, Paul, Pollock, Murray, Roberts, Gareth O., 2022. The computational cost of blocking for sampling discretely observed diffusions. Methodology and Computing in Applied Probability, 24, pp. 3007-3027
Sant, Jaromir, Jenkins, Paul, Koskela, Jere, Spanò, Dario, 2022. Convergence of likelihood ratios and estimators for selection in nonneutral Wright?Fisher diffusions. Scandinavian Journal of Statistics, 49 (4), pp. 1728-1760
'Jaskari, Joel, 'Sahlsten, Jaakko, 'Damoulas, Theodoros, 'Knoblauch, Jeremias, 'Sarkka, Simo, 'Karkkainen, Leo, 'Hietala, Kustaa, 'Kaski, Kimmo K., 2022. 'Uncertainty-aware deep learning methods for robust diabetic retinopathy classification. IEEE Access, 10, pp. 76669-76681
Knoblauch, Jeremias, Jewson, Jack E., Damoulas, Theodoros, 2022. An optimization-centric view on Bayes? rule : reviewing and generalizing variational inference. Journal of Machine Learning Research, 23 (123), pp. 1-109
'Arana-Catania, Miguel, 'van Lier, Felix-Anselm, 'Procter, Rob, 2022. 'Supporting peace negotiations in the Yemen war through machine learning. Data and Policy, 4
'Wen, Zhiyuan, 'Gui, Lin, 'Wang, Qianlong, 'Guo, Mingyue, 'Yu, Xiaoqi, 'Du, Jiachen, 'Xu, Ruifeng, 2022. 'Sememe knowledge and auxiliary information enhanced approach for sarcasm detection. Information Processing & Management, 59 (3)
Liang, Bin, Su, Hang, Gui, Lin, Cambria, Erik, Xu, Ruifeng, 2022. Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks. Knowledge-Based Systems, 235
Balogh, G. D., Flynn, T., Laizet, S., Mudalige, Gihan R., Reguly, Istvan Zoltan, 2022. Scalable many-core algorithms for tridiagonal solvers. Computing in Science and Engineering, 24 (1), pp. 26-35
'Tu, Zezhong, 'Xue, Yongkang, 'Ren, Pengpeng, 'Hao, Feng, 'Wang, Runsheng, 'Li, Meng, 'Zhang, Jianfu, 'Ji, Zhigang, 'Huang, Ru, 2022. 'A probability-based strong physical unclonable function with strong machine learning immunity. IEEE Electron Device Letters, 43 (1), pp. 138-141
'Zhang, Liang, 'Qiu, Feiyang, 'Hao, Feng, 'Kan, Haibin, 2022. '1-round distributed key generation with efficient reconstruction using decentralized CP-ABE. IEEE Transactions on Information Forensics and Security, 17, pp. 894-907
'Li, Luyang, 'He, Ligang, 'Gao, Jinjin, 'Han, Xie, 2022. 'PSNet : fast data structuring for hierarchical deep learning on point cloud. IEEE Transactions on Circuits and Systems for Video Technology
'Sthapit, Saurav, 'Lakshminarayana, Subhash, 'He, Ligang, 'Epiphaniou, Gregory, 'Maple, Carsten, 2022. 'Reinforcement learning for security aware computation offloading in satellite networks. IEEE Internet of Things Journal, 9 (14), pp. 12351-12363
'Jiao, Shichao, 'Han, Xie, 'Xiong, Fengguang, 'Yang, Xiaowen, 'Han, Huiyan, 'He, Ligang, 'Kuang, Liqun, 2022. 'Deep cross-modal discriminant adversarial learning for zero-shot sketch-based image retrieval. Neural Computing and Applications, 34 (16), pp. 13469-13483
Wu, Wentai, He, Ligang, Lin, Weiwei, Su, Yi, Cui, Yuhua, Maple, Carsten, Jarvis, Stephen A., 2022. Developing an unsupervised real-time anomaly detection scheme for time series with multi-seasonality. IEEE Transactions on Knowledge and Data Engineering, 34 (9), pp. 4147-4160
Ahn, Kook Jin, Cormode, Graham, Guha, Sudipto, McGregor, Andrew, Wirth, Anthony, 2021. Correlation clustering in data streams. Algorithmica, 83, pp. 1980-2017
Cormode, Graham, Veselý, Pavel, 2021. Streaming algorithms for bin packing and vector scheduling. Theory of Computing Systems, 65, pp. 916-942
'Gui, Lin, 'He, Yulan, 2021. 'Understanding patient reviews with minimum supervision. Artificial Intelligence in Medicine, 120
Zhang, Linhai, Lin, Chao, Zhou, Deyu, He, Yulan, Zhang, Meng, 2021. A Bayesian end-to-end model with estimated uncertainties for simple question answering over knowledge bases. Computer Speech & Language, 66
Zhou, Deyu, Zhang, Meng, Yang, Yang, He, Yulan, 2021. Hierarchical state recurrent neural network for social emotion ranking. Computer Speech & Language, 68
Arana Catania, Miguel, van Lier, Felix, Procter, Rob, Tkachenko, Nataliya, He, Yulan, Zubiaga, Arkaitz, Liakata, Maria, 2021. Citizen participation and machine learning for a better democracy. Digital Government: Research and Practice, 2 (3), pp. 1-22
Song, Jiagang, Lin, Yunwu, Song, Jiayu, Yu, Weiren, Zhang, Leyuan, Song, Jiagang, Lin, Yunwu, Song, Jiayu, Yu, Weiren, Zhang, Leyuan, 2021. TDCMR: Triplet-Based Deep Cross-Modal Retrieval for geo-multimedia data. Applied Sciences, 11 (22)
Song, Jiagang, Lin, Yunwu, Song, Jiayu, Yu, Weiren, Zhang, Leyuan, 2021. TDCMR: Triplet-Based Deep Cross-Modal Retrieval for geo-multimedia data. Applied Sciences, 11 (22)
Wu, Di, Xu, He, Jiang, Zhongkai, Yu, Weiren, Wei, Xuetao, Lu, Jiwu, 2021. EdgeLSTM : towards deep and sequential edge computing for IoT applications. IEEE/ACM Transactions on Networking, 29 (4), pp. 1895-1908
Wang, Shuang, Ferhatosmanoglu, Hakan, 2021. PPQ-Trajectory : spatio-temporal quantization for querying in large trajectory repositories. Proceedings of the VLDB Endowment, 14 (2), pp. 215-227
Basik, Fuat, Gedik, Bugra, Ferhatosmanoglu, Hakan, Wu, Kun-Lung, 2021. Fair task allocation in crowdsourced delivery. IEEE Transactions on Services Computing, 14 (4), pp. 1040-1053
Brown, Suzie, Jenkins, Paul, Johansen, Adam M., Koskela, Jere, 2021. Simple conditions for convergence of sequential Monte Carlo genealogies with applications. Electronic Journal of Probability, 26
Ignatieva, Anastasia, Lyngsø, Rune B., Jenkins, Paul, Hein, Jotun, 2021. KwARG : Parsimonious reconstruction of ancestral recombination graphs with recurrent mutation. Bioinformatics, 37 (19), pp. 3277-3284
Armstrong, David J., Gamper, Jevgenij, Damoulas, Theodoros, 2021. Exoplanet validation with machine learning : 50 new validated Kepler planets. Monthly Notices of the Royal Astronomical Society, 504 (4), pp. 5327-5344
Bienkowski, Marcin, Böhm, Martin, Byrka, Jaroslaw, Chrobak, Marek, Dürr, Christoph, Folwarczný, Luká?, Je?, ?ukasz, Sgall, Ji?í, Thang, Nguyen Kim, Veselý, Pavel, 2021. New results on multi-level aggregation. Theoretical Computer Science, 861, pp. 133-143
Dvo?ák, Pavel, Feldmann, Andreas Emil, Knop, Du?an, Masa?ík, Tomá?, Toufar, Tomá?, Veselý, Pavel, 2021. Parameterized approximation schemes for Steiner trees with small number of Steiner vertices. SIAM Journal on Discrete Mathematics, 35 (1), pp. 546-574
Tu, Zezhong, Xue, Yongkang, Ren, Pengpeng, Hao, Feng, Wang, Runsheng, Li, Meng, Zhang, Jianfu, Ji, Zhigang, Huang, Ru, Tu, Zezhong, Xue, Yongkang, Ren, Pengpeng, Hao, Feng, Wang, Runsheng, Li, Meng, Zhang, Jianfu, Ji, Zhigang, Huang, Ru, 2021. A probability-based strong physical unclonable function with strong machine learning immunity. IEEE Electron Device Letters, pp. 1-1
'Hao, Feng, 2021. 'Prudent practices in security standardization. IEEE Communications Standards Magazine, 5 (3), pp. 40-47
McCorry, Patrick, Mehrnezhad, Maryam, Toreini, Ehsan, Shahandashti, Siamak F., Hao, Feng, 2021. On secure E-voting over blockchain. Digital Threats : Research and Practice, 2 (4)
'Modesti, Paolo, 'Shahandashti, Siamak F., 'McCorry, Patrick, 'Hao, Feng, 2021. 'Formal modelling and security analysis of Bitcoin?s payment protocol. Computers & Security, 107
Wang, Shen, Toreini, Ehsan, Hao, Feng, 2021. Anti-counterfeiting for polymer banknotes based on polymer substrate fingerprinting. IEEE Transactions on Information Forensics and Security, 16, pp. 2823-2835
Zhou, Yujue, Jiang, Jie, Yang, Shuang-Hua, He, Ligang, Ding, Yulong, 2021. MuSDRI : Multi-seasonal decomposition based recurrent imputation for time series. IEEE Sensors Journal, 21 (20), pp. 23213-23223
'Zhou, Yujue, 'Jiang, Jie, 'Qian, Kai, 'Ding, Yulong, 'Yang, Shuang-Hua, 'He, Ligang, 2021. 'Graph convolutional networks based contamination source identification across water distribution networks. Process Safety and Environmental Protection, 155, pp. 317-324
Wu, Wentai, Lin, Weiwei, He, Ligang, Wu, Guangxin, Hsu, Ching-Hsien, 2021. A power consumption model for cloud servers based on Elman Neural Network. IEEE Transactions on Cloud Computing, 9 (4), pp. 1268-1277
Zheng, Zhigao, Shi, Xuanhua, He, Ligang, Jin, Hai, Wei, Shuo, Dai, Hulin, Peng, Xuan, 2021. Feluca : A two-stage graph coloring algorithm with color-centric paradigm on GPU. IEEE Transactions on Parallel and Distributed Systems, 32 (1), pp. 160-173
Zhou, Yujue, He, Ligang, Yang, Shuang?Hua, 2021. Developing normalization schemes for data isolated distributed deep learning. IET Cyber-Physical Systems: Theory & Applications, 6 (3), pp. 105-115
Wu, Wentai, He, Ligang, Lin, Weiwei, Mao, Rui, Maple, Carsten, Jarvis, Stephen A., 2021. SAFA : a semi-asynchronous protocol for fast federated learning with low overhead. IEEE Transactions on Computers, 70 (5)
Zhu, Lixing, He, Yulan, Zhou, Deyu, 2020. Neural opinion dynamics model for the prediction of user-level stance dynamics. Information Processing & Management, 57 (2)
Gui, Lin, Jia, Leng, Zhou, Jiyun, Xu, Ruifeng, He, Yulan, 2020. Multi-task learning with mutual learning for joint sentiment classification and topic detection. IEEE Transactions on Knowledge and Data Engineering
Zhu, Lixing, He, Yulan, Zhou, Deyu, 2020. A neural generative model for joint learning topics and topic-specific word embeddings. Transactions of the Association for Computational Linguistics, 8, pp. 471-485
Savva, Fotis, Anagnostopoulos, Christos, Triantafillou, Peter, Kolomvatsos, Kostas, 2020. Large-scale data exploration using explanatory regression functions. ACM Transactions on Knowledge Discovery from Data (TKDD), 14 (6), pp. 1-33
Savva, Fotis, Anagnostopoulos, Christos, Triantafillou, Peter, 2020. Adaptive learning of aggregate analytics under dynamic workloads. Future Generation Computer Systems, 109, pp. 317-330
Anagnostopoulos, Christos, Triantafillou, Peter, 2020. Large-scale predictive modeling and analytics through regression queries in data management systems. International Journal of Data Science and Analytics, 9 (1), pp. 17-55
Zhu, Lei, Song, Jiayu, Yu, Weiren, Zhang, Chengyuan, Yu, Hao, Zhang, Zuping, 2020. Reverse spatial visual top-k query. IEEE Access, 8 (1), pp. 21770-21787
Hua, Dingli, Wang, Weiqun, Yu, Weiren, Yao, Juan, 2020. Dissipative control of 2-D switched discrete system via dwell-time-dependent approach. Circuits, Systems, and Signal Processing, 39 (11), pp. 5475-5500
Zhang, Chengyuan, Zhu, Lei, Zhang, ShiChao, Yu, Weiren, 2020. PAC-GAN : an effective pose augmentation scheme for unsupervised cross-view person re-identification. Neurocomputing, 387, pp. 22-39
Zhang, Chengyuan, Zhu, Lei, Zhang, Shichao, Yu, Weiren, 2020. TDHPPIR : an efficient deep hashing based privacy-preserving image retrieval method. Neurocomputing, 406, pp. 386-398
Wu, Di, Jiang, Zhongkai, Xie, Xiaofeng, Wei, Xuetao, Yu, Weiren, Li, Renfa, 2020. LSTM learning with Bayesian and Gaussian processing for anomaly detection in industrial IoT. IEEE Transactions on Industrial Informatics, 16 (8), pp. 5244-5253
Luo, Man, Du, Bowen, Klemmer, Konstantin, Zhu, Hongming, Ferhatosmanoglu, Hakan, Wen, Hongkai, 2020. D3P : Data-driven demand prediction for fast expanding electric vehicle sharing systems. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 4 (1)
Ignatieva, Anastasia, Hein, Jotun, Jenkins, Paul, 2020. A characterisation of the genealogy of a birth-death process through time rescaling. Theoretical Population Biology, 134, pp. 61-76
Koskela, Jere, Jenkins, Paul, Johansen, Adam M., Spanò, Dario, 2020. Asymptotic genealogies of interacting particle systems with an application to sequential Monte Carlo. Annals of statistics, 48 (1), pp. 560-583
Jenkins, Paul, Hepburn, Alex, Macdougall, Colin F., 2020. How and why children instigate talk in pediatric allergy consultations : a conversation analytic account. Social Science & Medicine, 266
Monterrubio-Gomez, Karla, Roininen, Lassi, Wade, Sara, Damoulas, Theodoros, Girolami, Mark, 2020. Posterior inference for sparse hierarchical non-stationary models. Computational Statistics & Data Analysis, 148
Mckay, H., Griffiths, Nathan, Taylor, Phillip M., Damoulas, Theodoros, Xu, Zhou, 2020. Bi-directional online transfer learning : a framework. Annals of Telecommunications, 75, pp. 523-547
Azad, Muhammad Ajmal, Bag, Samiran, Perera, Charith, Barhamgi, Mahmoud, Hao, Feng, 2020. Authentic-caller : self-enforcing authentication in a next generation network. IEEE Transactions on Industrial Informatics, 16 (5), pp. 3606-3615
Hao, Feng, Wang, Shen, Bag, Samiran, Procter, Rob, Shahandashti, Siamak, Mehrnezhad, Maryam, Toreini, Ehsan, Metere, Roberto, Liu, Lana, 2020. End-to-end verifiable E-voting trial for Polling Station voting. IEEE Security & Privacy, 18 (6), pp. 6-13
Azad, Muhammad Ajmal, Bag, Samiran, Hao, Feng, Shalaginov, Andrii, 2020. Decentralized self-enforcing trust management system for social Internet of Things. IEEE Internet of Things Journal, 7 (4), pp. 2690-2703
Panja, Somnath, Bag, Samiran, Hao, Feng, Roy, Bimal, 2020. A smart contract system for decentralized borda count voting. IEEE Transactions on Engineering Management, 67 (4), pp. 1323-1339
Xu, Ruifeng, Wen, Zhiyuan, Gui, Lin, Lu, Qin, Li, Binyang, Wang, Xizhao, 2020. Ensemble with estimation : seeking for optimization in class noisy data. International Journal of Machine Learning and Cybernetics, 11, pp. 231-248
Du, Jiachen, Gui, Lin, Xu, Ruifeng, Xia, Yunqing, Wang, Xuan, 2020. Commonsense knowledge enhanced memory network for stance classification. IEEE Intelligent Systems, 35 (4), pp. 102-109
Bienkowski, Marcin, Böhm, Martin, Byrka, Jaroslaw, Chrobak, Marek, Dürr, Christoph, Folwarczný, Luká?, Jez, Lukasz, Sgall, Jirí, Kim Thang, Nguyen, Veselý, Pavel, 2020. Online algorithms for multi-level aggregation. Operations Research, 68 (1), pp. 214-232
Zhu, Huanzhou, He, Ligang, Leeke, Matthew, Mao, Rui, 2020. WolfGraph : the edge-centric graph processing on GPU. Future Generation Computer Systems, 111, pp. 552-569
Leeke, Matthew, 2020. Simultaneous fault models for the generation and location of efficient error detection mechanisms. The Computer Journal, 63 (5), pp. 758-773
Reguly, Istvan Z., Mudalige, Gihan R., 2020. Productivity, performance, and portability for computational fluid dynamics applications. Computers & Fluids, 199
Ajmal, Muhammad, Bag, Samiran, Tabassum, Shazia, Hao, Feng, 2020. privy : privacy preserving collaboration across multiple service providers to combat telecoms spam. IEEE Transactions on Emerging Topics in Computing, 8 (2), pp. 313-327
Cormode, Graham, Jowhari, Hossein, 2019. Lp samplers and their applications : a survey. ACM Computing Surveys, 52 (1)
Chakrabarti, Amit, Cormode, Graham, McGregor, Andrew, Thaler, Justin, Venkatasubramanian, Suresh, 2019. Verifiable stream computation and Arthur-Merlin communication. SIAM Journal on Computing
Wang, Rui, Zhou, Deyu, He, Yulan, 2019. ATM : Adversarial-neural topic model. Information Processing & Management, 56 (6)
Zhu, Lixing, He, Yulan, Zhou, Deyu, 2019. Hierarchical viewpoint discovery from tweets using Bayesian modelling. Expert Systems with Applications, 116, pp. 430-438
Pergola, Gabriele, Gui, Lin, He, Yulan, 2019. TDAM: a topic-dependent attention model for sentiment analysis. Information Processing & Management, 56 (6)
'Zeng, Jichuan, 'Li, Jing, 'He, Yulan, 'Gao, Cuiyun, 'Lyu, Michael, 'King, Irwin, 2019. 'What you say and how you say it : joint modeling of topics and discourse in microblog conversations. Transactions of the Association for Computational Linguistics, 7, pp. 267-281
Tang, Donglei, Zhang, Zhikai, He, Yulan, Lin, Chao, Zhou, Deyu, 2019. Hidden topic?emotion transition model for multi-level social emotion detection. Knowledge-Based Systems, 164, pp. 426-435
Du, Jiachen, Gui, Lin, He, Yulan, Xu, Ruifeng, Wang, Xuan, 2019. Convolution-based neural attention with applications to sentiment classification. IEEE Access, 7, pp. 27983-27992
Yu, Weiren, McCann, Julie, Zhang, Chengyuan, 2019. Efficient pairwise penetrating-rank similarity retrieval. ACM Transactions on the Web, 13 (4), pp. 1-52
Zhu, Lei, Yu, Weiren, Zhang, Chengyuan, Zhang, Zuping, Huang, Fang, Yu, Hao, 2019. SVS-JOIN : efficient spatial visual similarity join for geo-multimedia. IEEE Access, 7, pp. 158389-158408
Yu, Weiren, Lin, Xuemin, Zhang, Wenjie, Pei, Jian, McCann, Julie A., 2019. SimRank*: effective and scalable pairwise similarity search based on graph topology. The VLDB Journal, 28 (3), pp. 401-426
Zhu, Lei, Long, Jun, Zhang, Chengyuan, Yu, Weiren, Yuan, Xinpan, Sun, Longzhi, 2019. An efficient approach for geo-multimedia cross-modal retrieval. IEEE Access, 7, pp. 180571-180589
Hua, Dingli, Wang, Weiqun, Yu, Weiren, Wang, Yixiang, 2019. Finite-region boundedness and stabilization for 2D continuous-discrete systems in Roesser model. IMA Journal of Mathematical Control and Information, 36 (3), pp. 1033-1057
Yilmaz, Emre, Ferhatosmanoglu, Hakan, Ayday, Erman, Aksoy, Remzi Can, 2019. Privacy-preserving aggregate queries for optimal location selection. IEEE Transactions on Dependable and Secure Computing, 16 (2), pp. 329-343
Favaro, Stefano, Feng, Shui, Jenkins, Paul A., 2019. Bayesian nonparametric analysis of Kingman's coalescent. Annales de l'Institut Henri Poincaré, Probabilités et Statistiques, 55 (2), pp. 1087-1115
Koskela, Jere, Spanò, Dario, Jenkins, Paul, 2019. Consistency of Bayesian nonparametric inference for discretely observed jump diffusions. Bernoulli, 25 (3), pp. 2183-2205
Favaro, Stefano, Feng, Shui, Jenkins, Paul, 2019. Bayesian nonparametric analysis of Kingman?s coalescent. Annales de l?Institut Henri Poincaré - Probabilites et Statistiques, 55 (2), pp. 1087-1115
Crosby, Henry James, Damoulas, Theodoros, Jarvis, Stephen A., 2019. Road and travel time cross-validation for urban modelling. International Journal of Geographical Information Science, 34 (1), pp. 98-118
Bag, Samiran, Hao, Feng, Shahandashti, Siamak F., Ray, Indranil G., 2019. SEAL : sealed-bid auction without auctioneers. IEEE Transactions on Information Forensics and Security, 15, pp. 2042-2052
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All authors for The eBird enterprise : an integrated approach to development and application of citizen science

Sullivan, Brian L., Aycrigg, Jocelyn L., Barry, Jessie H., Bonney, Rick E., Bruns, Nicholas, Cooper, Caren B., Damoulas, Theodoros, Dhondt, André A., Dietterich, Tom, Farnsworth, Andrew, Fink, Daniel, Fitzpatrick, John W., Fredericks, Thomas, Gerbracht, Jeff, Gomes, Carla, Hochachka, Wesley M., Iliff, Marshall J., Lagoze, Carl, La Sorte, Frank A., Merrifield, Matthew, Morris, Will, Phillips, Tina B., Reynolds, Mark, Rodewald, Amanda D., Rosenberg, Kenneth V., Trautmann, Nancy M., Wiggins, Andrea, Winkler, David W., Wong, Weng-Keen, Wood, Christopher L., Yu, Jun, Kelling, Steve

The eBird enterprise : an integrated approach to development and application of citizen science. Biological Conservation, 169, pp. 31-40
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Cormode, Graham, Muthukrishnan, S., Yi, Ke, 2011. Algorithms for distributed functional monitoring. ACM Transactions on Algorithms, 7 (2), pp. 1-20
Jenkins, Paul, Griffiths, Robert C., 2011. Inference from samples of DNA sequences using a two-locus model. Journal of Computational Biology, Vol.18 (No.1), pp. 109-127
Jenkins, Paul, Song, Yun S., 2011. The effect of recurrent mutation on the frequency spectrum of a segregating site and the age of an allele. Theoretical Population Biology, Vol.80 (No.2), pp. 158-173
Jhumka, Arshad, Leeke, Matthew, Shrestha, Sambid, 2011. On the use of fake sources for source location privacy : trade-offs between energy and privacy. The Computer Journal, 54 (6), pp. 860-874
Davis, J. A., Mudalige, Gihan R., Hammond, Simon D., Herdman, J. A., Miller, I., Jarvis, Stephen A., 2011. Predictive analysis of a hydrodynamics application on large-scale CMP clusters. Computer Science - Research and Development, 26 (3-4), pp. 175-185
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Berinde, Radu, Indyk, Piotr, Cormode, Graham, Strauss, Martin J., 2010. Space-optimal heavy hitters with strong error bounds. ACM Transactions on Database Systems, 35 (4), pp. 1-28
Cormode, Graham, Srivastava, Divesh, Yu, Ting, Zhang, Qing, 2010. Anonymizing bipartite graph data using safe groupings. VLDB Journal, 19 (1), pp. 115-139
Cormode, Graham, Garofalakis, Minos, 2010. Histograms and wavelets on probabilistic data. IEEE Transactions on Knowledge & Data Engineering, 22 (8), pp. 1142-1157
Cormode, Graham, Hadjieleftheriou, Marios, 2010. Methods for finding frequent items in data streams. VLDB Journal - The International Journal on Very Large Data Bases, 19 (1), pp. 3-20
Jenkins, Paul, Song, Yun S., 2010. An asymptotic sampling formula for the coalescent with recombination. Annals of Applied Probability, Vol.20 (No.3), pp. 1005-1028
Jenkins, Paul, Song, Yun S, 2009. Closed-form two-locus sampling distributions : accuracy and universality. Genetics, Vol.183 (No.3), pp. 1087-1103
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Cormode, Graham, Garofalakis, Minos, 2008. Approximate continuous querying over distributed streams. ACM Transactions on Database Systems, 33 (2), pp. 1-39
Griffiths, Robert C., Jenkins, Paul, Song, Yun S., 2008. Importance sampling and the two-locus model with subdivided population structure. Advances in Applied Probability, Vol.40 (No.2), pp. 473-500
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Cormode, Graham, Veselý, Pavel, 2020. Streaming algorithms for bin packing and vector scheduling. Bampis, Evripidis; Megow, Nicole (eds.), Approximation and Online Algorithms : 17th International Workshop, WAOA 2019, Munich, Germany, September 12?13, 2019, Revised Selected Papers, Cham, Springer International Publishing
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Sun, Zhaoyue, Pergola, Gabriele, Wallace, Byron C, He, Yulan, 2024. Leveraging ChatGPT in pharmacovigilance event extraction : an empirical study. 18th Conference of the European Chapter of the Association for Computational Linguistics, Malta, 17-22 Mar 2024
Felekis, Yorgos, Zennaro, Fabio Massimo, Branchini, Nicola, Damoulas, Theodoros, 2024. Causal optimal transport of abstractions. CLeaR (Causal Learning and Reasoning) 2024, Los Angeles, California, 01-03 Apr 2024, Published in Proceedings of CLeaR (Causal Learning and Reasoning) 2024
Harrison, Luke, Bag, Samiran, Hao, Feng, 2024. Camel : E2E verifiable instant runoff voting without tallyingauthorities. The 19th ACM ASIA Conference on Computer and Communications Security (ACM ASIACCS 2024), Singapore, 1-5 Jul 2024
Flynn, T. S., Manson-Sawko, R., Mudalige, Gihan R., 2024. Performance-portable multiphase flow solutions with discontinuous Galerkin methods. 38th IEEE International Parallel and Distributed Processing Symposium (IPDPS 2024), San Francisco, CA USA, 27-31 May 2024
Cormode, Graham, 2023. Gems of pods : applications of sketching and pathways to impact. 2023 ACM SIGMOD/PODS Conference on Management of Data, Seattle, WA, USA, 18-23 Jun 2023, Published in PODS '23: Proceedings of the 42nd ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, pp. 5-10
Hehir, J., Ting, D., Cormode, Graham, 2023. Sketch-flip-merge : mergeable sketches for private distinct counting. Fortieth International Conference on Machine Learning (ICML) 2023, Hawaii, 23-29 Jul 2023, Published in Proceedings of the 40 th International Conference on Machine Learning, pp. 12846-12865
Biswas, A., Cormode, Graham, 2023. Interactive proofs for differentially private counting. ACM Conference on Computer and Communications Security, 2023, Copenhagen, Denmark, 26-30 Nov 2023, Published in CCS '23: Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, pp. 1919-1933
Zhao, Runcong, Arana-catania, Miguel, Zhu, Lixing, Kochkina, Elena, Gui, Lin, Zubiaga, Arkaitz, Procter, Rob, Liakata, Maria, He, Yulan, 2023. PANACEA : an automated misinformation detection system on COVID-19. The 17th Conference of the European Chapter of the Association for Computational Linguistics, Dubrovnik, Croatia, 2-4 May 2023, Published in Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, pp. 67-74
Lu, Junru, Li, Jiazheng, Wallace, Byron, He, Yulan, Pergola, Gabriele, 2023. NapSS : paragraph-level medical text simplification via narrative prompting and sentence-matching summarization. The 17th Conference of the European Chapter of the Association for Computational Linguistics, Dubrovnik, Croatia, 2-6 May 2023, Published in Findings of the Association for Computational Linguistics: EACL 2023, pp. 1079-1091
Fang, Zheng, Alqazlan, Lama, Liu, Du, He, Yulan, Procter, Rob, 2023. A user-centered, interactive, human-in-the-loop topic modelling system. The 17th Conference of the European Chapter of the Association for Computational Linguistics, Dubrovnik, Croatia, 2-6 May 2023, Published in Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pp. 505-522
Tan, Xingwei, Pergola, Gabriele, He, Yulan, 2023. Event temporal relation extraction with Bayesian translational model. The 17th Conference of the European Chapter of the Association for Computational Linguistics, Dubrovnik, Croatia, 2-6 May 2023, Published in Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pp. 1125-1138
Li, Hongjing, Yan, Hanqi, Li, Yanran, Qian, Li, He, Yulan, Gui, Lin, 2023. Distinguishability calibration to in-context learning. The 17th Conference of the European Chapter of the Association for Computational Linguistics, Dubrovnik, Croatia, 2-6 May 2023, Published in Findings of the Association for Computational Linguistics: EACL 2023, pp. 1385-1397
Zhao, Runcong, Gui, Lin, He, Yulan, 2023. Cone : unsupervised contrastive opinion extraction. SIGIR '23 : 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, Published in SIGIR '23: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1066-1075
Chen, Beitao, Wang, Xuanhan, Chen, Xiaojia, He, Yulan, Song, Jingkuan, 2023. EANet : towards lightweight human pose estimation with effective aggregation network. 2023 IEEE International Conference on Multimedia and Expo (ICME), Brisbane, Australia, 10-14 Jul 2023, Published in Proceedings - IEEE International Conference on Multimedia and Expo, pp. 2639-2644
Zhang, Yukun, Yuan, Shengming, Song, Jingkuan, Zhou, Yixuan, Zhang, Lin, He, Yulan, 2023. Towards boosting black-box attack via sharpness-aware. 2023 IEEE International Conference on Multimedia and Expo (ICME), Brisbane, Australia, 10-14 Jul 2023, pp. 294-299
Li, Jiazheng, Sun, Zhaoyue, Liang, Bin, Gui, Lin, He, Yulan, 2023. CUE : an uncertainty interpretation framework for text classifiers built on pre-trained language models. The Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, Published in Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, pp. 1253-1262
Kurmanji, M., Triantafillou, Peter, Hayes, Jamie, Triantafillou, E., 2023. Towards unbounded machine unlearning. International Conference on Neural Information Processing Systems, NeurIPS, New Orleans, 10-16 Dec 2023
Kurmanji, M., Triantafillou, Peter, 2023. Detect, distill and update : learned DB systems facing out of distribution data. ACM SIGMOD Conference on the Management of Data, (SIGMOD23), Seattle, WA, 18-23 Jun 2023, Published in Proceedings of the ACM on Management of Data, pp. 1-27
Yan, Liping, Yu, Weiren, 2023. SimSky : an accuracy-aware algorithm for single-source SimRank search. ECML PKDD, 2023, Torino, Italy, 18 -22 Sep 2023, Published in Machine Learning and Knowledge Discovery in Databases: Research Track. ECML PKDD 2023, pp. 226-241
Wang, Shuang, Eravci, Bahaeddin, Guliyev, Rustam, Ferhatosmanoglu, Hakan, 2023. Low-bit quantization for deep graph neural networks with smoothness-aware message propagation. Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, Birmingham, United Kingdom, 21 -25 Oct 2023, Published in Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
Conlan, Chris, Cunningham, Teddy, Ferhatosmanoglu, Hakan, 2023. Dynamic spatio-temporal access queries using semi-supervised regression. 39th International Conference on Data Engineering Workshops (ICDEW), Anaheim, USA, 03-07 Apr 2023, Published in 2023 IEEE 39th International Conference on Data Engineering Workshops (ICDEW), pp. 162-169
Branchini, N., Aglietti, Virginia, Dhir, N., Damoulas, Theodoros, 2023. Causal entropy optimization. 26th International Conference on Artificial Intelligence and Statistics (AISTATS), Valencia, Spain, 25 - 27 Apr 2023, Published in Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, pp. 8586-8605
Zennaro, Fabio Massimo, Turrini, Paolo, Damoulas, Theodoros, 2023. Quantifying consistency and information loss for causal abstraction learning. Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI-23, Macao, S.A.R, 19-25 Aug 2023, Published in Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI-23, pp. 5750-5757
Englert, Matthias, Matsakis, Nicolaos, Veselý, Pavel, 2023. Approximation guarantees for shortest superstrings : simpler and better. 34th International Symposium on Algorithms and Computation (ISAAC 2023), Kyoto, Japan, 3?6 Dec 2023, Published in Proceedings of the 34th International Symposium on Algorithms and Computation (ISAAC 2023), pp. 29:1-29:17
Dai, Zhihao, Leeke, Matthew, Ding, Yulong, Yang, Shuang-hua, 2023. A heterogeneous redundant architecture for industrial control system security. 2022 IEEE 27th Pacific Rim International Symposium on Dependable Computing (PRDC), Beijing, China, 28 Nov-1 Dec 2022, Published in 2022 IEEE 27th Pacific Rim International Symposium on Dependable Computing (PRDC), pp. 89-97
Ekanayake, Suneth D., Reguly, Istvan Z., Luporini, Fabio, Mudalige, Gihan R., 2023. Communication-avoiding optimizations for large-scale unstructured-mesh applications with OP2. International Conference on Parallel Processing (ICPP), Utah, USA, 07-10 Aug 2023, Published in Proceedings of 52nd International Conference on Parallel Processing (ICPP 2023), pp. 380-391
Powell, A., Mudalige, Gihan R., 2023. Predictive analysis of code optimisations on large-scale coupled CFD-combustion simulations using the CPX mini-app. 37th IEEE International Parallel & Distributed Processing Symposium (IPDPS 2023), St. Petersburg, Florida, USA, 15-19 May 2023, Published in 2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
Herodotou, Samuel, Hao, Feng, 2023. Spying on the spy : security analysis of hidden cameras. NSS 2023: 17th International Conference on Network and System Security, University of Kent, Canterbury, UK, 14-16 Aug 2023, Published in Lecture Notes in Computer Science, pp. 345-362
Nezhad, Mahshid Mehr, Laidlaw, Elliot, Hao, Feng, 2023. Security analysis of mobile point-of-sale terminals. NSS 2023: 17th International Conference on Network and System Security, Canterbury, UK, 14-16 Aug 2023, Published in Network and System Security. NSS 2023
You, Shih-Chun, Kuhn, Markus G., Sarkar, Sumanta, Hao, Feng, 2023. Low trace-count template attacks on 32-bit implementations of ASCON AEAD. CHES 2023, Prague, Czech Republic, 10-14 Sep 2023, Published in IACR Transactions on Cryptographic Hardware and Embedded Systems (CHES), pp. 344-366
Wu, Yifei, Li, Chengxi, Ran, Li, Cao, Qinze, Gammon, Peter M., Feng, Hao, Li, Yun, Ng, Chong, Wu, Binbing, 2023. Evaluation of bipolar degradation in SiC MOSFETs for converter design. 2023 IEEE Energy Conversion Congress and Exposition (ECCE), Nashville, TN, USA, 29 Oct - 02 Nov 2023, Published in 2023 IEEE Energy Conversion Congress and Exposition (ECCE)
Qi, Hao, Zhang, Yu, He, Ligang, Luo, Kang, Huang, Jun, Lu, Haoyu, Zhao, Jin, Jin, Hai, 2023. PSMiner : A pattern-aware accelerator for high-performance streaming graph pattern mining. 2023 Design Automation Conference (DAC2023), San Francisco, CA, 9-13 Jul 2023, Published in 2023 60th ACM/IEEE Design Automation Conference (DAC)
Dai, Zhihao, He, Ligang, Yang, Shuang-Hua, Leeke, Matthew, 2023. Revealing ongoing sensor attacks in industrial control system via setpoint modification. 2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech), Abu Dhabi, United Arab Emirates, 14-17 Nov 2023, pp. 191-199
Scott, Mary, Cormode, Graham, Maple, Carsten, 2022. Applying the shuffle model of differential privacy to vector aggregation. BICOD21 : British International Conference on Databases, London, UK, 28 Mar 2022, Published in CEUR Workshop Proceedings, pp. 1-10
'Liang, Bin, 'Lou, Chenwei, 'Li, Xiang, 'Yang, Min, 'Gui, Lin, 'He, Yulan, 'Pei, Wenjie, 'Xu, Ruifeng, 2022. 'Multi-modal sarcasm detection via cross-modal graph convolutional network. The 60th Annual Meeting of the Association for Computational Linguistics (ACL), Dublin, Ireland, 22-27 May 2022, Published in Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 1767-1777
'Liang, Bin, 'Zhu, Qinlin, 'Li, Xiang, 'Yang, Min, 'Gui, Lin, 'He, Yulan, 'Xu, Ruifeng, 2022. 'JointCL : a joint contrastive learning framework for zero-shot stance detection. The 60th Annual Meeting of the Association for Computational Linguistics (ACL), Dublin, Ireland, 22-27 May 2022, Published in Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 81-91
'Liang, Bin, 'Chen, Zixiao, 'Gui, Lin, 'He, Yulan, 'Yang, Min, 'Xu, Ruifeng, 2022. 'Zero-shot stance detection via contrastive learning. WWW '22: The ACM Web Conference, Online, hosted Lyon, France, 25?29 Apr 2022, Published in WWW '22: The ACM Web Conference Proceedings
'Dougrez-Lewis, John, 'Kochkina, Elena, 'Arana-Catania, Miguel, 'Liakata, Maria, 'He, Yulan, 2022. 'PHEMEPlus : enriching social media rumour verification with external evidence. The Fifth Workshop on Fact Extraction and VERification (FEVER), Hybrid: Dublin, Ireland + Online, 26 May 2022, Published in Proceedings of the Fifth Workshop on Fact Extraction and VERification (FEVER)
'Arana-Catania, M., 'Kochkina, Elena, 'Zubiaga, Arkaitz, 'Liakata, Maria, 'Procter, Rob, 'He, Yulan, 2022. 'Natural language inference with self-attention for veracity assessment of pandemic claims. 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Hybrid: Seattle, WA, USA + Online, 10-15 Jul 2022, Published in Proceedings of the 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics
'Adewoyin, Rilwan A., 'Dutta, Ritabrata, 'He, Yulan, 2022. 'RSTGen : imbuing fine-grained interpretable control into long-form text generators. NAACL 2022, Seattle, Washington, 10-15 Jul 2022
'Yan, Hanqi, 'Gui, Lin, 'Li, Wenjie, 'He, Yulan, 2022. 'Addressing token uniformity in transformers via singular value transformation. Uncertainty in Artificial Intelligence, Eindhoven, The Netherlands, 01-05 Aug 2022, Published in Proceedings of Machine Learning Research, pp. 2181-2191
'Ren, Xuebin, 'Shi, Liang, 'Yu, Weiren, 'Yang, Shusen, 'Zhao, Cong, 'Xu, Zongben, 2022. 'LDP-IDS : local differential privacy for infinite data streams. ACM SIGMOD PODS International Conference on Management of Data, Philadelphia, PA, USA, 12-17 Jun 2022, Published in Proceedings of the 2022 International Conference on Management of Data (ACM SIGMOD '22), 2022
'Xue, Ruidong, 'Yu, Weiren, 'Wang, Hongxia, 2022. 'An indexable time series dimensionality reduction method for maximum deviation reduction and similarity search. Extending Database Technology (ACM EDBT?22), Edinburgh, UK, 29 Mar - 01 Apr 2022, Published in Proceedings of the 25th International Conference on Extending Database Technology (ACM EDBT?22), pp. 183-195
'Haldar, Aparajita, 'Cunningham, Teddy, 'Ferhatosmanoglu, Hakan, 2022. 'RAGUEL : Recourse-Aware Group Unfairness Elimination. 31st ACM International Conference on Information and Knowledge Management (CIKM ?22), Atlanta, GA, USA, 17?21 Oct 2022, Published in Proceedings of the 31st ACM International Conference on Information and Knowledge Management (CIKM ?22)
'Dellaporta, Charita, 'Knoblauch, Jeremias, 'Damoulas, Theodoros, 'Briol, Fran?ois-Xavier, 2022. 'Robust Bayesian inference for simulator-based models via the MMD posterior bootstrap. 25th International Conference in Artificial Intelligence and Statistics (AISTATS), Virtual, 28-30 Mar 2022, Published in Proceedings of Machine Learning Research
Mudalige, Gihan R., Reguly, I. Z., Prabhakar, A., Amirante, D., Lapworth, L., Jarvis, Stephen A., 2022. Towards virtual certification of gas turbine engines with performance-portable simulations. 2022 IEEE International Conference on Cluster Computing (CLUSTER), Heidelberg, Germany, 5-8 Sep 2022, Published in 2022 IEEE International Conference on Cluster Computing (CLUSTER)
Prabhakar, Arun, Goddard, Christopher R., Amirantec, Dario, Reguly, Istvan Z., Gerstenberger, Axel, Suhrmann, Jan-Friedrich, Jarvis, Stephen A., Lapworth, Leigh, Mudalige, Gihan R., 2022. Virtual certification of gas turbine engines - visualizing the DLR Rig250 compressor. Supercomputing 2022 - Scientific Visualization and Data Analytics Showcase, Dallas, TX US, 14?17 Nov 2022
'Harrison, Luke, 'Bag, Samiran, 'Luo, Hang, 'Hao, Feng, 2022. 'VERICONDOR : End-to-end verifiable condorcet voting without tallying authorities. 17th ACM ASIA Conference on Computer and Communications Security (ACM ASIACCS 2022), Nagasaki, Japan ; Virtual, 30 May ?3 Jun 2022, Published in ASIA CCS '22: Proceedings of the 2022 ACM on Asia Conference on Computer and Communications Security, pp. 1113-1125
'Czumaj, Artur, 'Jiang, Shaofeng H.-C., 'Krauthgamer, Robert, 'Vesel?, Pavel, 2022. 'Streaming algorithms for geometric Steiner forest. 49th International Colloquium on Automata, Languages, and Programming (ICALP 2022), Paris, France, 04-08 Jul 2022, Published in Proceedings of the 49th International Colloquium on Automata, Languages, and Programming (ICALP 2022), pp. 1-20
Kamalakkannan, Kamalavasan, Mudalige, Gihan R., Reguly, Istvan Z., Fahmy, Suhaib A., 2022. High throughput multidimensional tridiagonal system solvers on FPGAs. ACM International Conference on Supercomputing, Virtual, 28-30 Jun 2022, Published in ICS '22: Proceedings of the 36th ACM International Conference on Supercomputing, pp. 1-12
Kamalakkannan, K., Mudalige, Gihan R., Reguly, I. Z., Fahmy, S. A., 2022. FPGA acceleration of structured-mesh-based explicit and implicit numerical solvers using SYCL. IWOCL and SYCLcon, Virtual, 10?12 May 2022, Published in IWOCL'22: International Workshop on OpenCL
'Hao, Feng, 'van Oorschot, Paul, 2022. 'SoK : password-authenticated key exchange - theory, practice, standardization and real-world lessons. 17th ACM ASIA Conference on Computer and Communications Security (ACM ASIACCS 2022), Nagasaki, Japan ; Virtual, 30 May - 3 Jun 2022, Published in ASIA CCS '22: Proceedings of the 2022 ACM on Asia Conference on Computer and Communications Security, pp. 697-711
'Chen, Zhiyan, 'He, Ligang, 2022. 'Modelling the offload of AI tasks in mobile clouds. 2022 Thirteenth International Conference on Ubiquitous and Future Networks (ICUFN), Barcelona, Spain, 5-8 Jul 2022, Published in 2022 Thirteenth International Conference on Ubiquitous and Future Networks (ICUFN)
Wu, Hao, He, Ligang, Li, Chang-Tsun, Li, Junyu, Wu, Wentai, Maple, Carsten, 2022. MGGAN : Improving sample generations of Generative Adversarial Networks. 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys), Haikou, Hainan, China, 20-22 Dec 2021, Published in 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys)
Cormode, Graham, Mishra, Abhinav, Ross, Joseph, Veselý, Pavel, 2021. Theory meets practice at the median : a worst case comparison of relative error quantile algorithms. ACM SIGKDD Conference, Virtual Event, Singapore, 14?18 Aug 2021, Published in KDD '21: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, pp. 2722-2731
Cunningham, Teddy, Cormode, Graham, Ferhatosmanoglu, Hakan, 2021. Privacy-preserving synthetic location data in the real world. SSTD '21: 17th International Symposium on Spatial and Temporal Databases, Virtual, 23-25 Aug 2021, Published in Proceedings of International Symposium on Spatial and Temporal Databases, 2021, pp. 23-33
Shekelyan, Michael, Cormode, Graham, 2021. Sequential random sampling revisited : hidden shuffle method. The 24th International Conference on Artificial Intelligence and Statistics (AISTATS 2021), Virtual, 13-15 Apr 2021, Published in Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, pp. 3628-3636
Cormode, Graham, Karnin, Zohar, Liberty, Edo, Thaler, Justin, Veselý, Pavel, 2021. Relative error streaming quantiles. The 2021 ACM SIGMOD/PODS Conference, Virtual conference, 20-25 Jun 2021, Published in PODS'21: Proceedings of the 40th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, pp. 96-108
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'Tan, Xingwei, 'Pergola, Gabriele, 'He, Yulan, 'Tan, Xingwei, 'Pergola, Gabriele, 'He, Yulan, 'Tan, Xingwei, 'Pergola, Gabriele, 'He, Yulan, 'Tan, Xingwei, 'Pergola, Gabriele, 'He, Yulan, 'Tan, Xingwei, 'Pergola, Gabriele, 'He, Yulan, 'Tan, Xingwei, 'Pergola, Gabriele, 'He, Yulan, 'Tan, Xingwei, 'Pergola, Gabriele et al (Select to open full list), 2021.

All authors for 'Extracting event temporal relations via hyperbolic geometry

'Tan, Xingwei, 'Pergola, Gabriele, 'He, Yulan, 'Tan, Xingwei, 'Pergola, Gabriele, 'He, Yulan, 'Tan, Xingwei, 'Pergola, Gabriele, 'He, Yulan, 'Tan, Xingwei, 'Pergola, Gabriele, 'He, Yulan, 'Tan, Xingwei, 'Pergola, Gabriele, 'He, Yulan, 'Tan, Xingwei, 'Pergola, Gabriele, 'He, Yulan, 'Tan, Xingwei, 'Pergola, Gabriele, 'He, Yulan, 'Tan, Xingwei, 'Pergola, Gabriele, 'He, Yulan

'Extracting event temporal relations via hyperbolic geometry. The 2021 Conference on Empirical Methods in Natural Language Processing, Online ; Punta Cana, Dominican Republic, 7?11 Nov 2021, Published in Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pp. 8065-8077
'Zhou, Deyu, 'Zhang, Meng, 'Zhang, Linhai, 'He, Yulan, 2021. 'A neural group-wise sentiment analysis model with data sparsity awareness. AAAI Conference on Artificial Intelligence, Online, 02-09 Feb 2021, Published in Proceedings of the AAAI Conference on Artificial Intelligence, pp. 14594-14601
'Davies, Jonathan, 'Arana-Catania, Miguel, 'Procter, Rob, 'van Lier, Felix-Anselm, 'He, Yulan, 2021. 'Evaluating the application of NLP tools in mainstream participatory budgeting processes in Scotland. ICEGOV 2021: 14th International Conference on Theory and Practice of Electronic Governance, Athens, Greece, 6-8 Oct 2021, Published in 14th International Conference on Theory and Practice of Electronic Governance, pp. 362-366
'Tan, Xingwei, 'Pergola, Gabriele, 'He, Yulan, 2021. 'Extracting event temporal relations via hyperbolic geometry. 2021 Conference on Empirical Methods in Natural Language Processing, Punta Cana, Dominican Republic, 11 2022, Published in Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pp. 8065-8077
'Davies, Jonathan, 'Arana-Catania, Miguel, 'Procter, Rob, 'van Lier, Felix-Anselm, 'He, Yulan, 2021. 'A mixed-methods ethnographic approach to participatory budgeting in Scotland. International Conference on Information Technology for Social Good (GoodIT), Rome, Italy, 9-11 Sep 2021, Published in GoodIT '21: Proceedings of the Conference on Information Technology for Social Good, pp. 317-320
'Zhang, Wenjian, 'Gui, Lin, 'He, Yulan, 2021. 'Supervised contrastive learning for multimodal unreliable news detection in COVID-19 pandemic. 30th ACM International Conference on Information and Knowledge Management, Virtual conference, 01-05 Nov 2021, Published in CIKM '21: Proceedings of the 30th ACM International Conference on Information & Knowledge Management, pp. 3637-3641
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Pergola, Gabriele, Gui, Lin, He, Yulan, 2021. A disentangled adversarial neural topic model for separating opinions from plots in user reviews. 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Online, 6?11 Jun 2021, Published in Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 2870-2883
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Demirci, Gunduz Vehbi, Ferhatosmanoglu, Hakan, 2021. Partitioning sparse deep neural networks for scalable training and inference. 2021 International Conference on Supercomputing (ICS ?21), Virtual conference -USA, 14-17 Jun 2021, Published in ICS '21: Proceedings of the ACM International Conference on Supercomputing, pp. 254-265
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Mrazovic, Petar, Eser, Elif, Ferhatosmanoglu, Hakan, Larriba-Pey, Josep L., Matskin, Mihhail, 2019. Multi-vehicle route planning for efficient urban freight transport. 9th International Conference on Intelligent Systems 2018, Portugal, 25-27 Sep 2018, Published in 2018 International Conference on Intelligent Systems (IS)
Whitaker, Brendan, Newman-Griffis, Denis, Haldar, Aparajita, Ferhatosmanoglu, Hakan, Fosler-Lussier, Eric, 2019. Characterizing the impact of geometric properties of word embeddings on task performance. 3rd Workshop on Evaluating Vector Space Representations for NLP, Minneapolis, USA, 6 Jun 2019, Published in Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for NLP, pp. 8-17
Mckay, H., Griffiths, Nathan, Taylor, Phillip M., Damoulas, Theodoros, Zhou, X., 2019. Online transfer learning for concept drifting data streams. 8th International Workshop on Big Data, IoT Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, Anchorage, Alaska, 4-8 Aug 2019, Published in Proceedings of the 8th International Workshop on Big Data, IoT Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications Conference
Aglietti, Virginia, Theodoros, Damoulas, Bonilla, Edwin, 2019. Efficient inference in multi-task Cox process models. The 22nd International Conference on Artificial Intelligence and Statistics, AISTATS 2019, Naha, Okinawa, Japan, 16-18 Apr 2019, Published in Proceedings of Machine Learning Research, pp. 537-546
'Hamelijnck, Oliver, 'Damoulas, Theodoros, 'Wang, Kangrui, 'Girolami, Mark, 2019. 'Multi-resolution multi-task Gaussian processes. 33rd Conference on Neural Information Processing Systems, Canada, 8-14 Dec 2019, Published in 33nd Conference on Neural Information Processing Systems (NeurIPS 2019), pp. 14048-14058
Aglietti, Virginia, Bonilla, Edwin, Damoulas, Theodoros, Cripps, Sally, 2019. Structured variational inference in continuous Cox Process Models. NeurIPS 2019 : 33rd Conference on Neural Information Processing Systems, Canada, 8-14 Dec 2019, Published in 33nd Conference on Neural Information Processing Systems (NeurIPS 2019) Vancouver, Canada, 8-14 December 2019
Barnes, Kenton M., Gale, Michael, 2019. Meta-genetic programming for static quantum circuits. Genetic and Evolutionary Computation Conference Companion (GECCO ?19 Companion), Prague, Czech Republic, 13?17 Jul 2019, Published in GECCO '19 Proceedings of the Genetic and Evolutionary Computation Conference Companion, pp. 2016-2019
Fan, Chuang, Yan, Hongyu, Du, Jiachen, Gui, Lin, Bing, Lidong, Yang, Min, Xu, Ruifeng, Mao, Ruibin, 2019. A knowledge regularized hierarchical approach for emotion cause analysis. 2019 Conference on Empirical Methods in Natural Language Processing, Hong Kong, 3-7 Nov 2019, Published in Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pp. 5618-5628
Veselý, Pavel, Chrobak, Marek, Lukasz, Jez, Sgall, Jirí, 2019. A f-competitive algorithm for scheduling packets with deadlines. ACM-SIAM Symposium on Discrete Algorithms (SODA19), San Diego, California, USA, 6-9 Jan 2019, Published in Proceedings of the 30th ACM-SIAM Symposium on Discrete Algorithms (SODA19)
Reguly, Istvan Z., Moore, Branden, Schmielau, Tim, du Toit, Jacques, Mudalige, Gihan R., 2019. Batch solution of small PDEs with the OPS DSL. International Conference on High Performance Computing, Frankfurt, Germany, 16-20 Jun 2019, Published in High Performance Computing, pp. 124-141
Balogh, G. D., Mudalige, Gihan R., Reguly, I. Z., Antao, S. F., Bertolli, C., 2019. OP2-Clang : a source-to-source translator using Clang/LLVM LibTooling. The Fifth Workshop on the LLVM Compiler Infrastructure in HPC Workshop, The International Conference for High Performance Computing, Networking, Storage and Analysis, November 2018, Dallas, Texas, USA, 12 Nov 2018, Published in 2018 IEEE/ACM 5th Workshop on the LLVM Compiler Infrastructure in HPC (LLVM-HPC)
Hui, Xia, He, Ligang, Wang, Bin, Chang, Cheng, Han, Xie, Maple, Carsten, 2019. Developing offloading-enabled application development frameworks for android mobile devices. The 20th IEEE International Conference on High Performance Computing and Communications (HPCC-2018), Exeter, UK, 28-30 Jun 2018, Published in 2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS)
Zhao, Jin, Zhang, Yu, Liao, Xiaofei, He, Ligang, He, Bingsheng, Jin, Hai, Liu, Haikun, Chen, Yicheng, 2019. GraphM : an efficient storage system for high throughput of concurrent graph processing. SC '19 International Conference for High Performance Computing, Networking, Storage and Analysis, Denver, Colorado, 17-19 Nov 2019, Published in SC '19 Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, pp. 1-14
Dickens, Charlie, Cormode, Graham, Woodruff, David P., 2018. Leveraging well-conditioned bases : streaming and distributed summaries in Minkowski p-norms. ICML : 2018 Thirty-fifth International Conference on Machine Learning, Stockholm, Sweden, 10-15 Jul 2018, Published in Proceedings of the 35th International Conference on Machine Learning, pp. 1243-1251
Cormode, Graham, Hickey, Christopher J. A., 2018. Cheap checking for cloud computing : statistical analysis via annotated data streams. The 21st International Conference on Artificial Intelligence and Statistics, Playa Blanca, Lanzarote, Canary Islands, 9-11 Apr 2018, Published in Proceedings of the 21st International Conference on Artificial Intelligence and Statistics
Cormode, Graham, Jha, S., Kulkarni, Tejas M., Li, N., Srivastava, D., Wang, T., 2018. Privacy at scale : local differential privacy in practice. 2018 ACM SIGMOD/PODS, Houston, TX, USA, 10-15 Jun 2018, Published in ACM SIGMOD International Conference on Management of Data (SIGMOD), pp. 1655-1658
Cormode, Graham, Kulkarni, Tejas M., Srivastava, D., 2018. Constrained private mechanisms for count data. 34th IEEE International Conference on Data Engineering, Paris, France, 16?19 Apr 2018, Published in IEEE Transactions on Knowledge and Data Engineering
Cormode, Graham, Dark, Jacques, Konrad, Christian, 2018. Approximating the Caro-Wei bound for independent sets in graph streams. International Symposium on Combinatorial Optimization, Marrakesh, Morocco, 11-13 Apr 2018, Published in Combinatorial Optimization. ISCO 2018
Cormode, Graham, Hickey, Christopher J. A., 2018. You can check others' work more quickly than doing it yourself. 2018 International Conference on Data Engineering (ICDE), Paris, France, 16-18 Apr 2018, Published in 2018 IEEE 34th International Conference on Data Engineering (ICDE)
Zhang, Y., Tirthapura, S., Cormode, Graham, 2018. Learning graphical models from a distributed stream. International Conference on Data Engineering (ICDE), 2018, Paris, France, 16?19 Apr 2018
Cormode, Graham, Kulkarni, Tejas M., Srivastava, Divesh, 2018. Constrained Private Mechanisms for Count Data. 2018 IEEE 34th International Conference on Data Engineering (ICDE), Paris, France, 16-19 April 2018, Published in 2018 IEEE 34th International Conference on Data Engineering (ICDE), pp. 845-856
Cormode, Graham, Kulkarni, Tejas M., Srivastava, D., 2018. Marginal release under local differential privacy. 2018 ACM SIGMOD/PODS, Houston, TX, USA, 10-15 Jun 2018, Published in SIGMOD '18 Proceedings of the 2018 International Conference on Management of Data, pp. 131-146
Katsarou, F., Ntarmos, N., Triantafillou, Peter, 2018. Hybrid algorithms for subgraph pattern queries in graph databases. 2017 IEEE International Conference on Big Data (IEEE BigData 2017), Boston, MA, USA, 11-14 Dec 2017, Published in 2017 IEEE International Conference on Big Data (Big Data)
Cahsai, Atoshum, Anagnostopoulos, Christos, Ntarmos, Nikos, Triantafillou, Peter, 2018. Revisiting exact kNN query processing with probabilistic data space transformations. 2018 IEEE International Conference on Big Data (Big Data), Seattle, USA, 10-14 Dec 2018, Published in 2018 IEEE International Conference on Big Data (Big Data)
Triantafillou, Peter, 2018. Towards intelligent distributed data systems for scalable efficient and accurate analytics. 38 IEEE International Conference on Distributed Computing Systems, ICDCS, Vienna, Austria, 2-5 Jul 2018, Published in 2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS)
Savva, Fotis, Anagnostopoulos, Christos, Triantafillou, Peter, 2018. Explaining aggregates for exploratory analytics. 2018 IEEE International Conference on Big Data (Big Data), Seattle, USA, 10-14 Dec 2018, Published in 2018 IEEE International Conference on Big Data (Big Data)
Triantafillou, Peter, 2018. Data-Less Big Data Analytics (Towards Intelligent Data Analytics Systems). 2018 IEEE 34th International Conference on Data Engineering (ICDE), Paris, France, 16-19 April 2018, Published in Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018, pp. 1666-1667
Wang, Jing, Liu, Zichen, Ma, Shuai, Ntarmos, Nikos, Triantafillou, Peter, 2018. GC : a graph caching system for subgraph / supergraph queries. 44th International conference on very large databases 2018, Rio de Janeiro, Brazil, 27-31 Aug 2018, Published in Proceedings of the VLDB Endowment, pp. 2022-2025
Yu, Weiren, Wang, Fan, 2018. Fast exact CoSimRank search on evolving and static graphs. WWW '18, Lyon France, Apr 2018, Published in WWW '18: Proceedings of the 2018 World Wide Web Conference, pp. 599-608
Chowdhury, Sreyasi Nag, Tandon, Niket, Ferhatosmanoglu, Hakan, Weikum, Gerhard, 2018. VISIR : visual and semantic image label refinement. 11th ACM International Conference on Web Search and Data Mining (WSDM) 2018, Marina Del Rey, CA, USA, 5?9 Feb 2018, Published in Proceedings of the 11th ACM International Conference on Web Search and Data Mining (WSDM) 2018, pp. 117-125
Knoblauch, Jeremias, Damoulas, Theodoros, 2018. Spatio-temporal Bayesian on-line changepoint detection with model selection. 35th International Conference on Machine Learning 2018, Stockholm, Sweden, 10-15 Jul 2018, Published in Proceedings of the 35th International Conference on Machine Learning 2018, pp. 2718-2727
Knoblauch, Jeremias, Jewson, Jack E., Damoulas, Theodoros, 2018. Doubly robust Bayesian inference for non-stationary streaming data with ß-divergences. Thirty-second Conference on Neural Information Processing Systems, Montréal, Canada, 3-8 Dec 2018, Published in Advances in Neural Information Processing Systems, pp. 64-75
Zhang, Yu, Liao, Xiaofei, Jin, Hai, Gu, Lin, Liu, Haikun, He, Bingsheng, He, Ligang, 2018. CGraph : a correlations-aware approach for efficient concurrent iterative graph processing. 2018 USENIX Annual Technical Conference (USENIX ATC 18), Boston, MA, 11?13 Jul 2018, Published in USENIX ATC '18: Proceedings of the 2018 USENIX Conference on Usenix Annual Technical Conference, pp. 441-452
Cormode, Graham, Dark, J., 2017. Fast sketch-based recovery of correlation outliers. 21st International Conference on Database Theory, Vienna, Austria, 26-29 Mar 2018, Published in Leibniz International Proceedings in Informatics (LIPIcs), pp. 13:1-13:19
Cormode, Graham, Jowhari, Hossein, Monemizadeh, Morteza, Muthukrishnan, S., 2017. The sparse awakens : streaming algorithms for matching size estimation in sparse graphs. ESA 2017 ? The 25th Annual European Symposium on Algorithms, Vienna, Austria, 04-08 Sep 2017, Published in ALGO 2017
Du, Jiachen, Xu, Ruifeng, He, Yulan, Gui, Lin, 2017. Stance classification with target-specific neural attention networks. Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI), Melbourne, 19-25 Aug 2017, Published in Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI), pp. 3988-3994
Katsarou, F., Ntarmos, N., Triantafillou, Peter, 2017. Towards hybrid methods for graph pattern queries. EDBT/ICDT 2017 Joint Conference, Venice, Italy, 21 Mar 2017, Published in CEUR Workshop Proceedings
Moshfeghi, Y., Rothfeld, R., Azzopardi, L., Triantafillou, Peter, 2017. A task completion engine to enhance search session support for air traffic work tasks. 39th European Conference on IR Research, ECIR 2017, Aberdeen, 8-13 Apr 2017, Published in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 278-290
Wang, J., Ntarmos, N., Triantafillou, Peter, 2017. Ensuring consistency in graph cache for graph-pattern queries. The 6th International Workshop on Querying Graph Structured Data (GraphQ '17), Venice, Italy, 21-24 Mar 2017, Published in CEUR Workshop Proceedings
Katsarou, F., Ntarmos, N., Triantafillou, Peter, 2017. Subgraph querying with parallel use of query rewritings and alternative algorithms. 20th International Conference on Extending Database Technology, Venice, 21-24 Mar 2017, Published in 20th International Conference on Extending Database Technology, pp. 25-36
Wang, J., Ntarmos, N., Triantafillou, Peter, 2017. GraphCache : a caching system for graph queries. 20th International Conference on Extending Database Technology, Venice, 21-24 Mar 2017, Published in 20th International Conference on Extending Database Technology, pp. 13-24
Anagnostopoulos, C., Triantafillou, Peter, 2017. Efficient scalable accurate regression queries in IN-DBMS analytics. 2017 IEEE 33rd International Conference on Data Engineering (ICDE), San Diego, CA, USA, 19-22 Apr 2017, Published in Proceedings 2017 IEEE 33rd International Conference on Data Engineering (ICDE), pp. 559-570
Cahsai, A., Ntarmos, N., Anagnostopoulos, C., Triantafillou, Peter, 2017. Scaling k-nearest neighbours queries (the right way). 2017 IEEE 37th International Conference on : Distributed Computing Systems (ICDCS), Atlanta, GA, USA, 5-8 Jun 2017, Published in 2017 IEEE 37th International Conference on : Distributed Computing Systems (ICDCS), pp. 1419-1430
Yu, Weiren, McCann, Julie, 2017. Random walk with restart over dynamic graphs. 2016 IEEE 16th International Conference on Data Mining (ICDM), Barcelona, Spain, 12-15 Dec 2016, Published in 2016 IEEE 16th International Conference on Data Mining (ICDM), pp. 589-598
Biega, J. Asia, Ghazimatin, Azin, Ferhatosmanoglu, Hakan, Gummadi , Krishna P., Weikum, Gerhard, 2017. Learning to un-rank : quantifying search exposure for users in online communities. CIKM 2017 : The 26th 2017 ACM Conference on Information and Knowledge Management, Singapore, 6-10 Nov 2017, Published in Proceedings of the 26th International Conference on Information and Knowledge Management (CIKM), pp. 267-276
Mrazovic, Petar, Eravci, Bahaeddin, Larriba-Pey, Josep Lluis, Ferhatosmanoglu, Hakan, Matskin, Mihhail, 2017. Understanding and predicting trends in urban freight transport. 01718th IEEE International Conference on Mobile Data Management (MDM), Daejeon, South Korea, 29 May-1 Jun 2017, Published in 2017 18th IEEE International Conference on Mobile Data Management (MDM), pp. 124-133
Yilmaz, Emre, Elbasi, Sanem, Ferhatosmanoglu, Hakan, 2017. Predicting optimal facility location without customer locations. 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, 13-17 Aug 2017, Published in KDD '17 Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 2121-2130
Chuah, Edward, Jhumka, Arshad, Alt, Samantha, Damoulas, Theodoros, Gurumdimma, Nentawe, Sawley, Marie-Christine, Barth, William L., Minyard, Tommy, Browne, James C., 2017. Enabling dependability-driven resource use and message log-analysis for cluster system diagnosis. 24th IEEE International Conference on High Performance Computing, Data, and Analytics, Jaipur, India, 18-21 Dec 2017, Published in 2017 IEEE 24th International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing (HPCC_EUC)
Chuah, Edward, Jhumka, Arshad, Alt, Samantha, Damoulas, Theodoros, Gurumdimma, Nentawe, Sawley, Marie-Christine, Barth, William L., Minyard, Tommy, Browne, James C., 2017. Case study of error recovery and error propagation on ranger. 24th IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC 2017), Jaipur, India, 18-21 Dec 2017
Szamozvancev, Dmitrij, Gale, Michael, 2017. Well-typed music does not sound wrong (experience report). Haskell Symposium 2017, Oxford, United Kingdom, 7?8 Sep 2017, Published in Proceedings of the 10th ACM SIGPLAN International Symposium on Haskell, pp. 99-104
Fairbrother, J., Leeke, Matthew, 2017. On basis sets variables for efficient error detection. 15th IEEE International Conference on Dependable, Autonomic and Secure Computing (DASC'17), Florida, USA, 6-11 Nov 2017
Leeke, Matthew, 2017. Simultaneous fault models for the generation of efficient error detection mechanisms. 2017 IEEE 28th International Symposium on Software Reliability Engineering (ISSRE'17), Toulouse, France, 23-26 Oct 2017, Published in 2017 IEEE 28th International Symposium on Software Reliability Engineering (ISSRE)
Balogh, G. D., Reguly, Istvan Z., Mudalige, Gihan R., 2017. Comparison of parallelisation approaches, languages, and compilers for unstructured mesh algorithms on GPUs. 8th IEEE International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS17), Denver CO. US, 13 Nov 2017, Published in Lecture Notes in Computer Science, pp. 22-43
Reguly, Istvan Z., Mudalige, Gihan R., Giles, Michael B., 2017. Beyond 16GB : out-of-core stencil computations. Workshop on Memory Centric Programming for HPC (MCHPC'17), Denver, CO, USA, 12-17 Nov 2017, Published in Proceedings of the Workshop on Memory Centric Programming for HPC (MCHPC'17), pp. 20-29
Kirk, Richard, Mudalige, Gihan R., Reguly, Istvan Z., Wright, Steven A., Martineau, Matt, Jarvis, Stephen A., 2017. Achieving performance portability for a heat conduction solver mini-application on modern multi-core systems. Second International Workshop on Representative Applications (WRAp 2017), Honolulu, Hawaii, USA, 05-08 Sep 2017, Published in 2017 IEEE International Conference on Cluster Computing (CLUSTER)
McCorry, Patrick, Shahandashti, Siamak F., Hao, Feng, 2017. A smart contract for boardroom voting with maximum voter privacy. 21st International Conference on Financial Cryptography and Data Security (FC17), Sliema, Malta, 3-7 Apr 2017, Published in Financial Cryptography and Data Security. FC 2017, pp. 357-375
Azad, Muhammad Ajmal, Bag, Samiran, Hao, Feng, 2017. M2M-REP : reputation of machines in the Internet of Things. ARES '17 Proceedings of the 12th International Conference on Availability, Reliability and Security, Reggio Calabria, Italy, 29 Aug - 01 Sep 2017
Chitnis, Rajesh, Cormode, Graham, Esfandiari, Hossein, Hajiaghayi, Mohammad Taghi, McGregor, Andrew, Monemizadeh, Morteza, Vorotnikova, Sofya, 2016. Kernelization via sampling with applications to dynamic graph streams. ACM-SIAM Symposium on Discrete Algorithms (SODA) 2016, Arlington, Virginia, 10-12 Jan 2016, Published in Proceedings of the 2016 Annual ACM-SIAM Symposium on Discrete Algorithms, pp. 1326-1344
Jorgensen, Zach, Yu, Ting, Cormode, Graham, 2016. Publishing attributed social graphs with formal privacy guarantees. ACM SIGMOD International Conference on Management of Data (SIGMOD), San Francisco, USA, 26 Jun - 1 Jul 2016, Published in SIGMOD '16 Proceedings of the 2016 International Conference on Management of Data, pp. 107-122
Triantafillou, Peter, 2016. Performance and scalability of indexed subgraph query processing methods. ALGOCLOUD 2015, Greece., 14?15 Sep 2016, Published in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Moshfeghi, Y., Velinov, K., Triantafillou, Peter, 2016. Improving search results with prior similar queries. International Conference on Information and Knowledge Management, Indianapolis, Indiana, USA, 24-28 Oct 2016, Published in Proceeding CIKM '16 Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, pp. 1985-1988
Wang, Jing, Ntarmos, Nikos, Triantafillou, Peter, 2016. Indexing query graphs to speedup graph query processing. EDBT : 19th International Conference on Extending Database Technology, Bordeaux, France, 15-18 Mar 2016, Published in Advances in database technology - EDBT 2016 19th International Conference on Extending Database Technology, Bordeaux, France, March 15-18, 2016 : proceedings, pp. 41-52
Moshfeghi, Y., Triantafillou, Peter, Pollick, F. E., 2016. Understanding information need : an fMRI study. SIGIR '16, Pisa, Italy, 17-21 Jul 2016, Published in SIGIR '16 Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, pp. 335-344
Eravci, Bahaeddin, Bulut, Neslihan, Etemoglu, Cagri, Ferhatosmanoglu, Hakan, 2016. Location recommendations for new businesses using check-in data. 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW), Barcelona, Spain, 12-15 Dec 2016, Published in 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW), pp. 1110-1117
Eser, Elif, Kocayusufoglu, Furkan, Eravci, Bahaeddin, Ferhatosmanoglu, Hakan, Larriba-Pey, Josep L., 2016. Generating time-varying road network data using sparse trajectories. 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW), Barcelona, Spain, 12-15 Dec 2016, Published in 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW), pp. 1118-1124
Tsakalidis, Adam, Liakata, Maria, Damoulas, Theodoros, Jellinek, Brigitte, Guo, Weisi, Cristea, Alexandra I., 2016. Combining heterogeneous user generated data to sense well-being. COLING 2016, Osaka, Japan, 11-16 Dec 2016
Chirigati, F., Doraiswamy, H., Damoulas, T., Freire, J., 2016. Data polygamy : the many-many relationships among urban spatio-temporal data sets. ACM SIGMOD International Conference on Management of Data (SIGMOD 2016), San Francisco, 26 Jun - 01 Jul 2016, Published in SIGMOD '16 Proceedings of the 2016 International Conference on Management of Data, pp. 1011-1025
Crosby, Henry James, Davis, Paul, Damoulas, Theodoros, Jarvis, Stephen A., 2016. A spatio-temporal, Gaussian Process Regression, real-estate price predictor. 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2016), San Francisco, 31 Oct - 3 Nov 2016, Published in GIS '16 Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Laikin, Joanna F., Bradbury, Matthew S., Gu, Chen, Leeke, Matthew, 2016. Towards fake sources for source location privacy in wireless sensor networks with multiple sources. 15th IEEE International Conference on Communication Systems (ICCS'16), Shenzhen, China, 14-16 Dec 2016, Published in 2016 IEEE International Conference on Communication Systems (ICCS)
Yi, Xun, Hao, Feng, Chen, Liqun, Liu, Joseph K., 2016. Practical threshold password-authenticated secret sharing protocol. 20th European Symposium on Research in Computer Security, Vienna, Austria, 21-25 Sep 2015, Published in Computer Security - ESORICS 2015, pp. 347-365
McCorry, Patrick, Shahandashti, Siamak F., Hao, Feng, 2016. Refund attacks on Bitcoin's payment protocol. 20th Financial Cryptography and Data Security (FC'16)
He, Xi, Cormode, Graham, Machanavajjhala, Ashwin, Procopiuc, Cecilia, Srivastava, Divesh, 2015. DPT : differentially private trajectory synthesis using hierarchical reference systems. 41st International Conference on Very Large Data Bases, Hawaii, 31 Aug - 4 Sep 2015, Published in Proceedings of the VLDB Endowment, pp. 1154-1165
Jorgensen, Zach, Yu, Ting, Cormode, Graham, 2015. Conservative or liberal? : personalized differential privacy. 31st IEEE International Conference on Data Engineering (2015), Seoul, South Korea, 13-17 Apr 2015, Published in 2015 IEEE 31st International Conference on Data Engineering, pp. 1023-1034
Chitnis, Rajesh, Cormode, Graham, Esfandiari, Hossein, Hajiaghayi, Mohammad Taghi, Monemizadeh, Morteza, 2015. New streaming algorithms for parameterized maximal matching & beyond. 27th ACM symposium on Parallelism in Algorithms and Architectures, Portland, Oregon, USA, 13-15 Jun 2015, Published in Proceedings of the 27th ACM symposium on Parallelism in Algorithms and Architectures, pp. 56-58
Chitnis, Rajesh, Cormode, Graham, Hajiaghayi, Mohammad Taghi, Monezimadeh, Morteza, 2015. Parameterized streaming : maximal matching and vertex cover. ACM SIAM Symposium on Discrete Algorithms (SODA), San Diego, USA, 4-6 Jan 2015, Published in Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms, pp. 1234-1251
Zhang, Jun, Cormode, Graham, Procopiuc, Cecilia, Srivastava, Divesh, Xiao, Xiaokui, 2015. Private release of graph statistics using ladder functions. ACM SIGMOD 2015, Melbourne, Australia, 1-4 Jun 2015, Published in SIGMOD '15 Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, pp. 731-745
Ahn, Kook-Jin, Cormode, Graham, Guha, Sudipto, McGregor, Andrew, Wirth, Anthony Ian, 2015. Correlation clustering in data streams. International Conference on Machine Learning, Lille, France, 6-11 Jul 2015, Published in Proceedings of the 32nd International Conference on Machine Learning, pp. 2237-2246
Chakrabarti, Amit, Cormode, Graham, McGregor, Andrew, Thaler, Justin, Venkatasubramanian, Suresh, 2015. Verifiable stream computation and Arthur-Merlin communication. 30th Conference on Computational Complexity (CCC?15), Portland, Oregon, 17-19 Jun 2015, Published in Leibniz international proceedings in informatics (LIPIcs), pp. 217-243
Zhou, Deyu, Chen, Liangyu, He, Yulan, 2015. An unsupervised framework of exploring events on Twitter : filtering, extraction and categorization. Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI), Austin, 25-29 Jan 2015, Published in Proceedings of Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI), pp. 2468-2474
Moshfeghi, Y., Ounis, I., Macdonald, C., Jose, J. M., Triantafillou, Peter, Livingston, M., Thakuriah, P., 2015. UCUI'15: The 1st international workshop on understanding the City with Urban Informatics. UCUI'15 : The 1st international workshop on understanding the city with urban informatics, Melbourne, Australia, 19-23 Oct 2015, Published in Proceedings of the International Conference on Information and Knowledge Management, pp. 1955-1956
Anagnostopoulos, C., Triantafillou, Peter, 2015. Learning to accurately COUNT with query-driven predictive analytics. 2015 IEEE International Conference on Big Data (Big Data), Santa Clara, CA, USA, 29 Oct -1 Nov 2015, Published in Proceedings - 2015 IEEE International Conference on Big Data, IEEE Big Data 2015, pp. 14-23
Anagnostopoulos, C., Triantafillou, Peter, 2015. Learning set cardinality in distance nearest neighbours. 2015 IEEE International Conference onData Mining (ICDM), Atlantic City, NJ, USA, 14-17 Nov 2015, Published in Proceedings - IEEE International Conference on Data Mining, ICDM, pp. 691-696
Yu, Weiren, McCann, Julie, 2015. Co-Simmate : quick retrieving all pairwise co-Simrank scores. 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, Beijing, China, 26-31 Jul 2015, Published in Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, pp. 327-333
Yu, Weiren, McCann, Julie Ann, 2015. High quality graph-based similarity search. SIGIR '15, Published in SIGIR '15: Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 83-92
Yu, Weiren, McCann, Julie, 2015. Gauging correct relative rankings for similarity search. CIKM '15: Proceedings of the 24th ACM International on Conference on Information and Knowledge, Melbourne, 19-23 Oct 2015, Published in CIKM '15: Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, pp. 1791-1794
Ermon, Stefano, Xue, Yexiang, Toth, Russell, Dilkina, Bistra, Bernstein, Richard, Damoulas, Theodoros, Mude, Andrew G., Clark, Patrick, DeGloria, Steve, Barrett, Christopher, Gomes, Carla P., 2015. Learning large-scale dynamic discrete choice models of spatio-temporal preferences with application to migratory pastoralism in East Africa. 29th AAAI Conference on Artificial Intelligence, Austin, Texas, USA, 25?30 Jan 2015, Published in AAAI'15 Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, pp. 644-650
Chohlas-Wood, Alex, Merali, Aliya, Reed, Warren, Damoulas, Theodoros, 2015. Mining 911 calls in New York City : temporal patterns, detection and forecasting. 29th AAAI Conference on Artificial Intelligence, (AAAI 2015), Austin, Texas USA, 25?26 Jan 2015, pp. 4-10
Bradbury, Matthew S., Leeke, Matthew, Jhumka, Arshad, 2015. A dynamic fake source algorithm for source location privacy in wireless sensor networks. 2015 IEEE Trustcom/BigDataSE/ISPA, Helsinki, 20-22 Aug 2015, Published in 2015 IEEE Trustcom/BigDataSE/ISPA, pp. 531-538
Gu, Chen, Bradbury, Matthew S., Jhumka, Arshad, Leeke, Matthew, 2015. Assessing the performance of phantom routing on source location privacy in wireless sensor networks. 2015 IEEE 21st Pacific Rim International Symposium on Dependable Computing (PRDC), Zhangjiajie, China, 18-20 Nov 2015, Published in 2015 IEEE 21st Pacific Rim International Symposium on Dependable Computing (PRDC), pp. 99-108
Marchant, James M., Griffiths, Nathan, Leeke, Matthew, 2015. Manipulating conventions in a particle-based topology. Coordination, Organizations, Institutions and Norms in Agent Systems Workshop : A workshop of the 12th International Conference on Autonomous Agents and Multiagent Systems : AAMAS2015, Istanbul, Turkey, 4-5 May 2015, Published in Proceedings of the Coordination, Organizations, Institutions and Norms in Agent Systems Workshop
Marchant, James M., Griffiths, Nathan, Leeke, Matthew, 2015. Convention emergence and influence in dynamic topologies. 14th International Conference on Autonomous Agents and Multiagent Systems, Istanbul, Turkey, 4-8 May 2015, Published in Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems, pp. 1785-1786
Marchant, James M., Griffiths, Nathan, Leeke, Matthew, Franks, Henry P. W., 2015. Destabilising conventions using temporary interventions. The 17th International Workshop on Coordination, Organisations, Institutions and Norms (COIN 2014), Paris, France, 6 May 2014, pp. 148-163
Marchant, James M., Griffiths, Nathan, Leeke, Matthew, 2015. Destabilising conventions : characterising the cost. Eighth IEEE International Conference on Self-Adaptive and Self-Organizing Systems, London, 8-12 Sep 2014, Published in 2014 IEEE Eighth International Conference on Self-Adaptive and Self-Organizing Systems (SASO), pp. 139-144
Mehrnezhad, Maryam, Hao, Feng, Shahandashti, Siamak F., 2015. Tap-tap and pay (TTP) : preventing the Mafia attack in NFC payment. Second International Conference, SSR 2015, Tokyo, Japan, 15-16 Dec 2015, Published in Security Standardisation Research, pp. 21-39
Ali, Syed Taha, McCorry, Patrick, Lee, Peter Hyun-Jeen, Hao, Feng, 2015. ZombieCoin : powering next-generation botnets with bitcoin. 2nd Workshop on Bitcoin Research, 19th International Conference - Financial Cryptography and Data Security, San Juan, Puerto Rico, 2015, Published in Financial Cryptography and Data Security, pp. 34-48
Hao, Feng, 2015. On the trust of trusted computing in the post-Snowden age. 8th IEEE CSF Workshop on Analysis of Security APIs, 13 Jul 2015
Mehrnezhad, Maryam, Toreini, Ehsan, Shahandashti, Siamak F., Hao, Feng, 2015. TouchSignatures : identification of user touch actions based on mobile sensors via JavaScript. 10th ACM Symposium on Information, Computer and Communications Security, Singapore, 2015, Published in ASIA CCS '15, pp. 673-673
Hao, Feng, Yi, Xun, Chen, Liqun, Shahandashti, Siamak Fayyaz, 2015. The fairy-ring dance : password authenticated key exchange in a group. IoTPTS '15, Singapore, 14 Apr 2015, Published in Proceedings of the 1st ACM Workshop on IoT Privacy, Trust, and Security, pp. 27-34
McCorry, Patrick, Shahandashti, Siamak F., Clarke, Dylan, Hao, Feng, 2015. Authenticated key exchange over bitcoin. Second International Conference, SSR 2015, Tokyo, Japan, 15-16 Dec 2015, Published in Security Standardisation Research, pp. 3-20
Cormode, Graham, Duffield, Nick, 2014. Sampling for big data. 20th ACM SIGKDD international conference on Knowledge discovery and data mining, New York, USA, 24-27 Aug 2014, pp. 1975-1975
Zhang, Jun, Cormode, Graham, Procopiuc, Cecilia, Srivastava, Divesh, Xiao, Xiaokui, 2014. Privbayes : private data release via Bayesian networks. ACM SIGMOD Conference, Salt Lake City, Utah, 22-27 Jun 2014, Published in Proceedings of the 2014 ACM SIGMOD international conference on Management of data, pp. 1423-1434
Zhao, Xin Wayne, Guo, Yanwei, He, Yulan, Jiang, Han, Wu, Yuexin, Li, Xiaoming, 2014. We know what you want to buy : a demographic-based system for product recommendation on microblogs. 20th ACM SIGKDD international conference on Knowledge discovery and data mining, New York, USA, 24-27 Aug 2014, Published in KDD '14 Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 1935-1944
Kondreddi, S .K., Triantafillou, Peter, Weikum, G., 2014. Combining information extraction and human computing for crowdsourced knowledge acquisition. 2014 IEEE 30th International Conference on Data Engineering, Chicago, IL, USA, 31 Mar -14 Apr 2014, Published in 2014 IEEE 30th International Conference on Data Engineering (ICDE), pp. 988-999
Anagnostopoulos, C., Triantafillou, Peter, 2014. Scaling out big data missing value imputations : Pythia vs. Godzilla. 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD '14), New York, N.Y., U.S.A, 24-27 Aug 2014, Published in Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 651-660
Yu, Weiren, McCann, Julie A., 2014. Sig-SR : SimRank search over singular graphs. SIGIR '14, Queensland Australia, Published in SIGIR '14: Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval, pp. 859-862
Yu, Weiren, Lin, Xuemin, Zhang, Wenjie, 2014. Fast incremental SimRank on link-evolving graphs. 2014 IEEE 30th International Conference on Data Engineering, Chicago, IL, USA, 31 Mar- Apr 2014, Published in 2014 IEEE 30th International Conference on Data Engineering, pp. 304-315
Damoulas, Theodoros, He, Jin, Bernstein, Richard, Gomes, Carla P., Arora, Anish, 2014. String kernels for complex time-series : counting targets from sensed movement. 22nd International Conference on Pattern Recognition (ICPR), 2014, Stockholm, 24-28 Aug 2014, Published in 22nd International Conference on Pattern Recognition (ICPR), 2014, pp. 4429-4434
Marchant, James M., Griffiths, Nathan, Leeke, Matthew, Franks, H., 2014. Destabilising conventions using temporary interventions. The 17th International Workshop on Coordination, Organisations, Institutions and Norms (COIN 2014), Paris, France, 6 May 2014
Hao, Feng, Kreeger, Matthew N., Randell, Brian, Clarke, Dylan, Shahandashti, Siamak F., Lee, Peter Hyun-Jeen, 2014. Every vote counts : ensuring integrity in large-scale electronic voting. 2014 Electronic Voting Technology Workshop/Workshop on Trustworthy Elections (EVT/WOTE 14), San Diego, CA, 18-19 Aug 2014, Published in USENIX Journal of Election Technology and Systems (JETS)
Hao, Feng, Shahandashti, Siamak F., 2014. The SPEKE protocol revisited. First International Conference, SSR 2014, Egham, United Kingdom, 16-17 Dec 2014, Published in Security Standardisation Research, pp. 26-38
Yi, Xun, Hao, Feng, Bertino, Elisa, 2014. ID-based two-server password-authenticated key exchange. 19th European Symposium on Research in Computer Security, Wroclaw, Poland, 7-11 Sep 2014, pp. 257-276
Thomason, Alasdair, Leeke, Matthew, Bradbury, Matthew S., Jhumka, Arshad, 2013. Evaluating the impact of broadcast rates and collisions on fake source protocols for source location privacy. 12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom'13), Melbourne, Australia, 16-18 July 2013, Published in Proceedings: 12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom 2013), pp. 667-674
Jhumka, Arshad, Bradbury, Matthew S., Leeke, Matthew, 2012. Towards understanding source location privacy in wireless sensor networks through fake sources. 11th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom'12), Liverpool, UK, 25-27 Jun 2012, pp. 760-768
He, Ligang, Chaudhary, Nadeem, Jarvis, Stephen A., Li, Kenli, 2012. Allocating resources for workflows running under authorization control. 13th International Conference on Grid Computing (GRID), 2012 ACM/IEEE, Beijing, 20-23 Sep 2012, Published in IEEE Digital Library, pp. 58-65
Gao, Bo, He, Ligang, Liu, Limin, Li, Kenli, Jarvis, Stephen A., 2012. From mobiles to clouds : developing energy-aware offloading strategies for workflows. 13th International Conference on Grid Computing (GRID), 2012 ACM/IEEE, Beijing, 20-23 Sep 2012, pp. 139-146
Jhumka, Arshad, Leeke, Matthew, 2011. The early identification of detector locations in dependable software. 22nd IEEE International Symposium on Software Reliability Engineering, Hiroshima, Japan, 29 Nov - 2 Dec 2011, Published in Proceedings of 22nd IEEE International Symposium on Software Reliability Engineering, pp. 40-49
Chester, Adam P., Leeke, Matthew, Al-Ghamdi, M., Jhumka, Arshad, Jarvis, Stephen A., 2011. A framework for data center scale dynamic resource allocation algorithms. 11th IEEE International Conference on Computer and Information Technology (CIT), Pafos, Cyprus, 31st August - 2nd September 2011, Published in Proceedings of the 11th IEEE International Conference on Scalable Computing and Communications (SCALCOM'11), pp. 67-74
'Leeke, Matthew, 'Jhumka, Arshad, 2011. 'An automated wrapper-based approach to the design of dependable software. 4th International Conference on Dependability (DEPEND'11), Nice, France, 21-27 August 2011
Leeke, Matthew, Arif, Saima, Jhumka, Arshad, Anand, Sarabjot Singh, 2011. A methodology for the generation of efficient error detection mechanisms. IEEE/IFIP 41st International Conference on Dependable Systems & Networks (DSN), Hong Kong, 27-30 June 2011, Published in Proceedings of the 41st International Conference on Dependable Systems and Networks, pp. 25-36
Chester, Adam P., Leeke, Matthew, Al-Ghamdi, M., Jarvis, Stephen A., Jhumka, Arshad, 2011. A modular failure-aware resource allocation architecture for cloud computing. UK Performance Engineering Workshop (UKPEW'11), Bradford, United Kingdom, 7-8 July 2011
Shao, Zhiyuan, Wang, Qiang, Xie, Xuejiao, Jin, Hai, He, Ligang, 2011. Analyzing and improving MPI communication performance in overcommitted virtualized systems. 19th Annual Meeting of the IEEE Symposium on Modelling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS'11), Singapore, 25-27 July 2011, Published in Proceedings of the nineteenth IEEE International Symposium on Modeling, Analysis & Simulation of Computer and Telecommunication Systems (MASCOTS), pp. 381-389
He, Ligang, Zou, Deqing, Zhang, Zhang, Jin, Hai, Yang, Kai, Jarvis, Stephen A., 2011. Optimizing resource consumptions in clouds. 12th IEEE/ACM International Conference on Grid Computing, Lyon, France, 21-23 Sept 2011, Published in 12th IEEE/ACM International Conference on Grid Computing (GRID), pp. 42-49
He, Ligang, Duan, Kewei, Chen, Xueguang, Zou, Deqing, Han, Zongfen, Fadavinia, Ali, Jarvis, Stephen A., 2011. Modelling workflow executions under role-based authorisation control. 8th IEEE International Conference on Services Computing (ICSC'11), Washington DC, USA, 4-9 July 2011, Published in 2011 IEEE International Conference on Services Computing (SCC), pp. 200-208
Al-Ghamdi, M., Chester, Adam P., He, Ligang, Jarvis, Stephen A., 2011. Dynamic resource allocation and active predictive models for enterprise applications. 1st International Conference on Cloud Computing and Services Science (CLOSER10), Noordwijkerhout, The Netherlands, 7-9 May 2011
Al-Ghamdi, M., Chester, Adam P., He, Ligang, Jarvis, Stephen A., Xue , J. W. J., 2011. Dynamic active window management : a method for improving revenue generation in dynamic enterprise systems. Proceedings of the 11th IEEE International Conference on Scalable Computing and Communications (SCALCOM'11), Pafos, Cyprus, 31st August - 2nd September, 2011, Published in Computer and Information Technology (CIT), 2011 IEEE 11th International Conference on
He, Ligang, Huang, Chenlin, Li, Kenli, Chen, Hao, Sun, Jianhua, Gao, Bo, Duan, Kewei, Jarvis, Stephen A., 2011. Modelling and analyzing the authorization and execution of video workflows. 18th International Conference on High Performance Computing, HiPC 2011, Bangalore, India, 18-21 Dec 2011, Published in 18th International Conference on High Performance Computing, HiPC 2011, pp. 1-10
Leeke, Matthew, Jhumka, Arshad, 2010. Towards understanding the importance of variables in dependable software. 8th European Dependable Computing Conference (EDCC'10), Valencia, Spain, 28-30 April 2010, Published in 2010 European Dependable Computing Conference (EDCC), pp. 85-94
Shrestha, Sambid, Leeke, Matthew, Jhumka, Arshad, 2010. On the tradeoff between privacy and energy in wireless sensor networks. UK Performance Engineering Workshop (UKPEW'10), Coventry, UK, 9-10 July 2010, Published in Proceedings of the 26th UK Performance Engineering Workshop (UKPEW 2010), pp. 103-110
Hammond, Simon D., Mudalige, Gihan R., Smith, J. A., Davis, James A., Jarvis, Stephen A., Holt, J., Miller, I., Herdman, J. A., Vadgama, A., 2010. To upgrade or not to upgrade? : Catamount vs. Cray Linux environment. Large Scale Parallel Processing Workshop 2010 (LSPP10), Atlanta, Georgia, USA, 19-23 Apr 2010, Published in 2010 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW), pp. 1-8
Pennycook, Simon J., Mudalige, Gihan R., Hammond, Simon D., Jarvis, Stephen A., 2010. Parallelising wavefront applications on general-purpose GPU devices. 26th UK Performance Engineering Workshop (UKPEW10), University of Warwick, Coventry, 8-9 July 2010, Published in Proceedings of the 26th UK Performance Engineering Workshop (UKPEW 2010), pp. 111-118
Pennycook, Simon J., Hammond, Simon D., Mudalige, Gihan R., Jarvis, Stephen A., 2010. Performance analysis of a hybrid MPI/CUDA implementation of the NAS-LU benchmark. 1st International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computing Systems (PMBS 10), New Orleans, LA, USA, 13-19, Nov 2010, Published in ACM SIGMETRICS Performance Evaluation Review, pp. 23-29
Pennycook, Simon J., Hammond, Simon D., Mudalige, Gihan R., Jarvis, Stephen A., 2010. Experiences with porting and modelling wavefront algorithms on many-core architectures. Daresbury GPU Workshop 2010, Daresbury, UK, 28-29 Sept 2010
Cormode, Graham, Garofalakis, Minos, 2009. Histograms and wavelets on probabilistic data. IEEE 25th International Conference on Data Engineering, 2009. ICDE '09, Shanghai, 29 Mar - 9-Apr 2009, Published in IEEE 25th International Conference onData Engineering, 2009. ICDE '09, pp. 293-304
Leeke, Matthew, Jhumka, Arshad, 2009. Beyond the golden run : evaluating the use of reference run models in fault injection analysis. UK Performance Engineering Workshop (UKPEW 2009), Leeds, UK, 6-7 July 2009, Published in Proceedings of the 25th UK Performance Engineering Workshop, pp. 61-74
Leeke, Matthew, Jhumka, Arshad, 2009. Evaluating the use of reference run models in fault injection analysis. 15th Pacific Rim International Symposium on Dependable Computing, Shanghai, People's Republic of China, November 16-18, 2009, Published in IEEE 15th Pacific Rim International Symposium on Dependable Computing, Proceedings, pp. 121-124
Jhumka, Arshad, Leeke, Matthew, 2009. Issues on the design of efficient fail-safe fault tolerance. 20th International Symposium on Software Reliability Engineering, 2009. ISSRE '09, Mysuru, Karnataka, 16-19 Nov 2009, Published in International Symposium on Software Reliability Engineering. Proceedings, pp. 155-164
Hammond, Simon D., Mudalige, Gihan R., Smith, J. A., Jarvis, Stephen A., Herdman, J. A., Vadgama, A., 2009. WARPP : a toolkit for simulating high performance parallel scientific codes. 2nd International Conference on Simulation Tools and Techniques (SIMUTools09), Rome, Italy, 2-6 Mar 2009, Published in SIMUTools '09 2nd International Conference on Simulation Tools and Techniques
Smith, J. A., Hammond, Simon D., Mudalige, Gihan R., Davis, J. A., Mills, A. B., Jarvis, Stephen A., 2009. hpsgprof : a new profiling tool for large-scale parallel scientific codes. UK Performance Engineering Workshop (UKPEW 2009), Leeds, UK, 6-7 July 2009, Published in Proceedings of the 25th UK Performance Engineering Workshop
Hammond, Simon D., Mudalige, Gihan R., Smith, J. A., Jarvis, Stephen A., 2009. Performance prediction and procurement in practice : assessing the suitability of commodity cluster components for wavefront codes. 24th UK Performance Engineering Workshop (UKPEW 2008), London, UK, 3-4 Jul 2008, Published in 24th UK Performance Engineering Workshop 3?4 July 2008
Hammond, Simon D., Smith, J. A., Mudalige, Gihan R., Jarvis, Stephen A., 2009. Predictive simulation of HPC applications. 23rd International Conference on Advanced Information Networking and Applications Workshops, Bradford, England, 26-29 May 2009, Published in 2009 International Conference on Advanced Information Networking and Applications, pp. 33-40
Mudalige, Gihan R., Hammond, Simon D., Smith, J. A., Jarvis, Stephen A., 2009. Predictive analysis and optimisation of pipelined wavefront computations. 23rd IEEE International Parallel and Distributed Processing Symposium, Rome, Italy, 23-29 May 2009, Published in 2009 IEEE International Symposium on Parallel & Distributed Processing, Vols.1-5, pp. 1208-1215
Zou, Deqing, He, Ligang, Jin, Hai, Chen, Xueguang, 2009. CRBAC: imposing multi-grained constraints on the RBAC model in the multi-application environment. IFIP International Workshop on Network and System Security, Dalian, People's Republic of China, September 18-19, 2007, Published in Journal of Network and Computer Application, pp. 402-411
Xue, J. W. J., Chester, Adam P., He, Ligang, Jarvis, Stephen A., 2009. Model-driven server allocation in distributed enterprise systems. The 3rd International Conference on Adaptive Business Information Systems, Leipzig, Germany, 23-25 Mar 2009
He, Ligang, Calleja, Mark, Hayes, Mark, Jarvis, Stephen A., 2009. Performance prediction for running workflows under role-based authorization mechanisms. 23rd IEEE International Symposium on Parallel and Distributed Processing, Rome, Italy, 23-29 May 2009, Published in 2009 IEEE International Symposium on Parallel and Distributed Processing, pp. 2767-2774
Chakrabarti, Amit, Cormode, Graham, McGregor, Andrew, 2008. Robust lower bounds for communication and stream computation. Fortieth annual ACM symposium on Theory of computing, Published in Proceedings of the fortieth annual ACM symposium on Theory of computing, pp. 641-650
Mudalige, Gihan R., Vernon, Mary K., Jarvis, Stephen A., 2008. A plug-and-play model for evaluating wavefront computations on parallel architectures. 22nd IEEE International Parallel and Distributed Processing Symposium (IPDPS 2008), Miami, FL, 14-18 Apr 2008, Published in Proceedings of the 2008 IEEE International Parallel and Distributed Processing Symposium, pp. 1089-1102
Xue, James W. J., Chester, Adam P., He, Ligang, Jarvis, Stephen A., 2008. Dynamic resource allocation in enterprise systems. 14th International Conference on Parallel and Distributed Systems, Melbourne, Australia, Dec 08-10, 2008, Published in 14th International Conference on Parallel and Distributed Systems (ICPADS 2008), pp. 203-212
Chester, Adam P., Xue, J. W. J., He, Ligang, Jarvis, Stephen A., 2008. A system for dynamic resource allocation in application server clusters. 24th UK Performance Engineering Workshop, Imperial College, London, UK, 3?4 July 2008, Published in 24th UK Performance Engineering Workshop 3?4 July 2008, pp. 199-216
Chester, Adam P., Xue, J. W. J., He, Ligang, Jarvis, Stephen A., 2008. A system for dynamic server allocation in application server clusters. IEEE International Symposium on Parallel and Distributed Processing with Applications, Sydney, Australia, Dec 10-12, 2008, Published in IEEE International Parallel and Distributed Processing with Applications Symposium. Proceedings, pp. 130-139
He, Ligang, Xue, James Wenjun, Jarvis, Stephen A., 2007. Partition-based profit optimisation for multi-class requests in clusters of servers. IEEE International Conference on e-Business Engineering, Hong Kong, China, 24-26 Oct 2007, Published in IEEE International Conference on e-Business Engineering, 2007. ICEBE 2007, pp. 131-138
Mudalige, Gihan R., Jarvis, Stephen A., Spooner, Daniel P., Nudd, G. R., 2006. Predictive performance analysis of a parallel pipelined synchronous wavefront application for commodity processor cluster systems. IEEE International Conference on Cluster Computing, Barcelona, Spain, 25-28 Sep 2006, Published in 2006 IEEE International Conference on Cluster Computing, pp. 467-478
He, Ligang, Jarvis, Stephen A., Spooner, Daniel P., Nudd, G. R., 2006. Performance evaluation of scheduling applications with DAG topologies on multiclusters with independent local schedulers. 5th International Workshop on Performance Modelling, Evaluation and Optimization of Parallel and Distributed Systems (PMEO'06), Rhodes Island, Greece, 25-29 Apr 2006, Published in 20th International Parallel and Distributed Processing Symposium, 2006. IPDPS 2006
Bacigalupo, David A., Jarvis, Stephen A., He, Ligang, Spooner, Daniel P., Nudd, G. R., 2006. A comparative evaluation of two techniques for predicting the performance of dynamic enterprise systems. Parallel Computing (ParCo) 2005, Malaga, Spain, 13-16 Sep 2005, Published in Parallel Computing : Current & Future Issues of High-End Computing, pp. 163-170
Chen, Xinuo, Jarvis, Stephen A., Tan, G., He, Ligang, Spooner, Daniel P., Nudd, G. R., 2005. An implementation of BLAST over peer-to-peer and its performance validation through simulation. 8th International Conference on Computer Modelling and Simulation, Oxford, UK, 6-8 Apr 2005
Bacigalupo, David A., Jarvis, Stephen A., He, Ligang, Spooner, Daniel P., Nudd, G. R., 2005. Comparing layered queuing and historical performance models of a distributed enterprise application. Proceedings of the International Conference on Parallel and Distributed Computing and Network (PDCN'05), Innsbruck, Austria, 15-17 Feb 2005
Tan, G., Jarvis, Stephen A., He, Ligang, Chen, Xinuo, Spooner, Daniel P., Nudd, G. R., 2005. Modelling web transfer performance over asymmetric networks. 11th International Conference on Parallel and Distributed Systems, 2005. Proceedings, Fukuoka, Japan, Jul 20-22 2005, Published in 11th International Conference on Parallel and Distributed Systems Workshops, Vol II, Proceedings, pp. 110-114
He, Ligang, Jarvis, Stephen A., Spooner, Daniel P., Bacigalupo, David A., Tan, G., Nudd, G. R., 2005. Mapping DAG-based applications to multiclusters with background workload. 5th IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2005), Cardiff, Wales, 09-12 May 2005, Published in IEEE International Symposium on Cluster Computing and the Grid, 2005. CCGrid 2005, pp. 855-862
He, Ligang, Jarvis, Stephen A., Spooner, Daniel P., Nudd, G. R., 2004. Optimising static workload allocation in multiclusters. Proceedings of the 18th IEEE International Parallel and Distributed Processing Symposium (IPDPS'04), Santa Fe, New Mexico, USA, 26-30 Apr 2004, Published in 18th International Parallel and Distributed Processing Symposium, 2004. Proceedings
Bacigalupo, David A., Jarvis, Stephen A., He, Ligang, Nudd, G. R., 2004. An investigation into the application of different performance techniques to e-commerce applications. Workshop on Performance Modelling, Evaluation and Optimization of Parallel and Distributed Systems (PMEO'04), Santa Fe, New Mexico, USA, 26-30 Apr 2004
He, Ligang, Jarvis, Stephen A., Spooner, Daniel P., Nudd, G. R., 2003. Dynamic scheduling of parallel real-time jobs by modelling spare capabilities in heterogeneous clusters. IEEE International Conference on Cluster Computing, Hong Kong, China, 01-04 Dec 2003, Published in 2003 IEEE International Conference on Cluster Computing, 2003. Proceedings, pp. 2-10

Jenkins, Paul A., Koskela, Jere, Sant, Jaromir, Spanò, Dario, Valenti?, Ivana, 2023. Excursion theory for the Wright--Fisher diffusion.
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Hao, Feng, 2017. J-PAKE : password-authenticated key exchange by juggling. Request for Comments (RFC), IETF Trust
Hao, Feng, 2017. Schnorr non-interactive zero-knowledge proof. Request for Comments (RFC), IETF Trust
Leeke, Matthew, 2011. Towards the design of efficient error detection mechanisms.
Mudalige, Gihan R., 2009. Predictive analysis and optimisation of pipelined wavefront applications using reusable analytic models.
Jarvis, Stephen A., He, Ligang, Spooner, Daniel P., Nudd, G. R., 2004. The impact of predictive inaccuracies on execution scheduling. University of Warwick. Department of Computer Science
Cormode, Graham, 2003. Sequence distance embeddings. Department of Computer Science
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Title	Funder	Award start	Award end
Probabilistic AI Hub - full stage, Outline 76178	EPSRC	01 Feb 2024	31 Jan 2029
National Edge AI Hub for Real Data	EPSRC	01 Feb 2024	31 Jan 2029
FAIR: Framework for responsible adoption of Artificial Intelligence in the financial seRvices industry	EPSRC	01 Dec 2021	30 Nov 2026
London Air Quality Impact Project	Alan Turing Institute	01 Jul 2024	30 Jun 2026
End to End Authentication of Caller ID in Heterogeneous Telephony Systems	EPSRC	01 Feb 2021	04 Jan 2026
Event Centric Framework for Natural Language Understanding	EPSRC	01 Jan 2021	31 Dec 2025
ML Foundations of Digital Twins	EPSRC	01 Jan 2021	31 Dec 2025
New Horizons in Multivariate Preprocessing (MULTIPROCESS)	EPSRC	01 Jan 2022	31 Dec 2025
ExCALIBUR Investigate high-priority use cases for exascale software call	EPSRC	01 Dec 2021	30 Nov 2025
SustainAIRA6G: Energy-Efficient Sustainable AI-driven Resource Allocation for 6Gempowered Edge-Fog-Cloud Continuum	EPSRC	24 Jul 2024	31 Mar 2025
Developing Adaptive Federated Learning Frameworks for Heterogenous and Dynamic Electronic Health Records (EHR)	British Council Saudi Arabia	01 Apr 2024	31 Mar 2025
CCP Turbulence	EPSRC	01 Mar 2020	28 Feb 2025
AI in the street: scoping everyday observatories for public engagement with connected and automated urban environments	AHRC	01 Feb 2024	30 Sept 2024
Digital twins of robust automation, planning and routing for environmental navigation optimisation and impact - Sir David Attenborough DT project - original record 72777	Alan Turing Institute	01 May 2023	30 Sept 2024
Expressing numerical algorithms in performance portable frameworks (iCASE studentship with IBM, voucher no. 19000085)	IBM	01 Jan 2020	30 Sept 2024
ACE Studentship Proposal: Cybersecurity and Local Differential Privacy	GCHQ	30 Sept 2019	31 Mar 2024
EPSRC Prosperity Partnership: Strategic Partnership in Computational Science for Advanced Simulation and Modelling of Engineering Systems	EPSRC	01 Oct 2018	31 Mar 2024
Royal Society International Exchange	Royal Society	31 Mar 2022	30 Mar 2024
T/AW088/22 -- FM-WP4 Code structure and coordination: Software support procurement ( NEPTUNE)	UK Atomic Energy Authority	05 Sept 2022	15 Feb 2024
Strengthening e-voting in India	Royal Society	31 Dec 2018	30 Jun 2023
EPSRC. Foresight 2020	EPSRC	01 May 2020	30 Apr 2023
PathLEAD: Pathology image data Lake for Education, Analytics, and Discovery	Innovate UK	01 Jan 2019	31 Mar 2023
Intelligent Data Indexing for Efficient Query Processing	Huawei Technologies (Ireland) Co	15 Jan 2022	14 Jan 2023
ExCALIBUR Fusion Modeling System, WP4	UK Atomic Energy Authority	01 Sept 2021	31 Dec 2022
EPSRC Mathematical Sciences RA Pool (linked to Ideate 68849)	EPSRC	01 Apr 2021	30 Sept 2022
Learning from COVID-19: An AI-enabled evidence-driven framework for claim veracity assessment during pandemics	EPSRC	28 Dec 2020	30 Sept 2022
PathLEAD:?Pathology image data Lake for Education, Analytics and Discovery (6 months costed extension to IDEATE 59254)	Innovate UK	01 Apr 2022	30 Sept 2022
Alan Turing Institute Research Fellowship for Dr Nathaniel Fijalkow	Alan Turing Institute	01 Jul 2020	30 Sept 2022
Towards High-Fidelity Eddy-Resolving Simulations on Multi-Core Accelerators for Multi-Phase Flows in Transport and Energy	EPSRC	01 Apr 2020	31 Aug 2022
Future-ready Massively-Parallel CFD Simulations for the Exascale	Royal Society	01 Sept 2018	31 Aug 2022
Big Data Analytics ? HUAWEI-ANALYTICS	Huawei Technologies (Ireland) Co	09 Dec 2019	30 Jun 2022
Closed-Loop Data Science for Complex, Computationally and Data-Intensive Analytics	EPSRC	01 May 2018	30 Apr 2022
GRIP funding (relates to Ideate 66578)	EPSRC	01 Oct 2021	31 Mar 2022
Adams Prize	University of Cambridge	13 Mar 2017	12 Mar 2022
5G Enabled Dynamic Network Capacity Manager	West Midlands 5G (WM5G)	02 Oct 2020	04 Mar 2022
Data Science for Social Good DSSGx 2020 Collaboration Agreement	Alan Turing Institute	01 May 2020	31 Dec 2021
Uncertainty Quantification of multi-scale and multi-physics computer models: applications to hazard and climate models	Alan Turing Institute	01 Oct 2018	31 Dec 2021
Decision Support Tool	West Midlands Combined Authority	10 Nov 2020	09 Dec 2021
Gen X: ExCALIBUR working group on Exascale continuum mechanics through code generation	EPSRC	01 Apr 2020	30 Nov 2021
Developing deep learning techniques for collaborative training of multi-sourced, distributed big data	Shandong Worldwide Byte Security Information Technology, Co., Ltd	01 May 2018	31 Oct 2021
NEPTUNE	UK Atomic Energy Authority	04 Jan 2021	30 Sept 2021
Turing Fellowship LRF funded	Alan Turing Institute	01 Jul 2019	30 Jun 2021
Turbulent Flow Simulations at the Exascale: Application to Wind Energy and Green Aviation	EPSRC	01 Apr 2020	30 Jun 2021
Causal Inference for Improved Cybersecurity Threat Detection Sequential Causal Inference with Applications TIL Award D&S Programme Neil Dihr is to be the project PI	Turing Innovations Ltd	01 Sept 2020	31 Mar 2021
Small Summaries for Big Data (SSBD) (Starting Grant)	European Research Council	01 Apr 2015	31 Mar 2021
The Cooperative Car	EPSRC	01 Dec 2015	28 Feb 2021
Privacy-preserving Mobility Data Generation and Analysis	Alan Turing Institute	01 Oct 2019	31 Dec 2020
The Cooperative Car - developing strategies to encourage behaviour modifications.	Jaguar Land Rover	01 Dec 2015	30 Nov 2020
Alan Turing Institute Fellowship 2020 for 1 year Cont Prev Proposal 57718	Alan Turing Institute	01 Oct 2019	30 Sept 2020
Enabling massive-data analytics over linked data resources	Alan Turing Institute	01 Oct 2019	30 Sept 2020
Dynamics of Ambient Air Pollution	Alan Turing Institute	01 Oct 2019	30 Sept 2020
Turing Project 2018: Damoulas	Alan Turing Institute	01 Oct 2018	30 Sept 2020
Turing Fellowship	Alan Turing Institute	01 Oct 2018	30 Sept 2020
Turing Fellowship Agreement 2018-2020	Alan Turing Institute	01 Oct 2019	30 Sept 2020
ATI Fellowship	Alan Turing Institute	01 Oct 2018	30 Sept 2020
Deep Understanding of Patient Experience of Healthcare from Social Media - DeepPatient	European Commission	01 Sept 2018	31 Aug 2020
Quantifying effects of climate change on extreme weather events via distributional downscaling. ATI Data Science for Science Programme: Climate Action	Alan Turing Institute	01 Oct 2019	31 Mar 2020
Alan Turing Institute Research Fellowship for Dr Nathaniel Fijalkow	Alan Turing Institute	03 Jan 2017	02 Jan 2020
CAT/2: Big Data Content Analytics with particular reference to Probabilistic Neural Topic Models	Innovate UK	01 Sept 2018	31 Dec 2019
Sketching Algorithms for Massive Graphs and Matrices	Microsoft Research Limited	05 Oct 2015	04 Oct 2019
Turing Fellowship	Alan Turing Institute	01 Mar 2018	30 Sept 2019
Royal Society Wolfson Research Merit Award - Small Summaries for Big Data	Royal Society	01 Aug 2014	31 Jul 2019
Scalable Regression: Tools and Techniques	Alan Turing Institute	01 Nov 2018	31 May 2019
Optimizing the I/O Performance of the Xen-based Cloud Platform	WinHong Information Technology Co. Ltd	15 Sept 2018	29 May 2019
Bayesian predictive models of violent extremist threat: the intelligent combination of expert judgements and observational data	Turing innovations Ltd	01 Oct 2018	31 Mar 2019
Verifiable electronic Voting Phase 3 project	Innovate UK	01 Oct 2018	31 Jan 2019
ComPaTrIoTs Research Hub	EPSRC	29 Feb 2016	30 Jan 2019
Synthetic People in a Real World	AT&T Labs Research	01 Jan 2015	31 Dec 2018
Self-Enforcing E-Voting system: Trustworthy Election in Presence of Corrupt Authorities	European Research Council	01 Oct 2018	31 Dec 2018
The Alan Turing Institute Faculty Fellow Award	Alan Turing Institute	01 Oct 2016	30 Sept 2018
The Alan Turing Institute Faculty Fellow Award	Alan Turing Institute	01 Oct 2016	31 Dec 2017
Doing Anonymization Practically, Privately, Effectively and Reusably - MC CIG Bid by Prof G Cormode	European Commission	01 Jan 2014	31 Dec 2017
Future-proof massively-parallel execution of multi-block applications: EPSRC grant transfer from Oxford for Dr Gihan Mudalige	EPSRC	01 Oct 2016	28 Feb 2017
Tractable statistical inference from genomic data using diffusion models (First Grant)	EPSRC	01 Apr 2014	31 Mar 2016
Smart Sketches for Modeling Massive Web Data	Yahoo Labs	01 Jul 2013	31 Dec 2015
Bull / Warwick Premier Partnership(Richard Bunt & Robert Bird - Studentships)	Bull Information Systems Ltd	01 Oct 2012	30 Sept 2015
Predicting Performance for Applications Running Under Authorization Mechanisms	Leverhulme Trust	01 Jul 2011	30 Jun 2014
Extension to DIMAP - The centre for discrete mathematics and its applications	EPSRC	26 Mar 2013	25 Mar 2014