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Department of Computer Science

Publications

  • 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
  • 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
  • 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
  • Xiang, Lichuan, Hunter, Rosco, Dudziak, ?ukasz, Xu, Minghao, Wen, Hongkai, 2023. Exploiting network compressibility and topology in zero-cost NAS. International Conference on Automated Machine Learning (AutoML 2023), Potsdam/Berlin, Germany, 12?15 Sep 2023
  • Zhao, Grangrong, Yang, Yurun, Liu, Jingwei, Chen, Ning, Shen, Yiran, Wen, Hongkai, Lan, Guohao, 2023. EV-Eye : Rethinking high-frequency eye tracking through the lenses of event cameras. Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023, New Orleans, USA, 10-16 Dec 2023
  • Xiang, Lichuan, Dudziak, ?ukasz, Abdelfattah, Mohamed S., Chau, Thomas, Lane, Nicholas D., Wen, Hongkai, 2023. Zero-cost operation scoring in differentiable architecture search. Thirty-Seventh AAAI Conference on Artificial Intelligence, Washington, DC, USA, 7-14 Feb 2023, Published in Proceedings of the AAAI Conference on Artificial Intelligence, pp. 10453-10463
  • Pham, Hoang, Ta, The-Anh, Liu, Shiwei, Xiang, Lichuan, Dung, D. Le, Wen, Hongkai, Tran-Thanh, Long, 2023. Towards data-agnostic pruning at initialization : what makes a good sparse mask?. Thirty-Seventh Annual Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, 10-16 Dec 2023
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • '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
  • '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)
  • '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
  • '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
  • 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
  • Cormode, Graham, Maddock, Samuel, Maple, Carsten, 2021. Frequency estimation under local differential privacy. 47th International Conference on Very Large Data Bases, Copenhagen, Denmark (Hybrid), 16-20 Aug 2021, Published in PVLDB Journal Proceedings, pp. 2046-2058
  • 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
  • Cormode, Graham, Garofalakis, Minos, Shekelyan, Michael, 2021. Data-independent space partitionings for summaries. 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. 285-298
  • 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, Dickens, Charlie, Woodruff, David P., 2021. Subspace exploration : bounds on projected frequency estimation. 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. 273-284
  • 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
  • Cunningham, Teddy, Cormode, Graham, Ferhatosmanoglu, Hakan, Srivastava, Divesh, 2021. Real-world trajectory sharing with local differential privacy. VLDB Endowment, Virtual, 16-20 Aug 2021, Published in Proceedings of the VLDB Endowment, pp. 2283-2295
  • 'Hamelijnck, Oliver, 'Wilkinson, William J., 'Loppi, Niki A., 'Solin, Arno, 'Damoulas, Theodoros, 2021. 'Spatio-temporal variational Gaussian processes. Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021), Virtual, 6-14 Dec 2021, Published in Advances in Neural Information Processing Systems 34 (NeurIPS 2021), pp. 23621-23633
  • 'Salvi, Cristopher, 'Lemercier, Maud, 'Liu, Chong, 'Horvath, Blanka, 'Damoulas, Theodoros, 'Lyons, Terry, 2021. 'Higher order kernel mean embeddings to capture filtrations of stochastic processes. Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021), Virtual, 6-14 Dec 2021, Published in Advances in Neural Information Processing Systems 34 (NeurIPS 2021), pp. 16635-16647
  • 'Aglietti, Virginia, 'Dhir, N., 'Gonzalez, J., 'Damoulas, Theodoros, 2021. 'Dynamic causal Bayesian optimisation. Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS 2021), Virtual, 6-14 Dec 2021, Published in Advances in Neural Information Processing Systems, pp. 10549-10560
  • Maronas, Juan, Hamelijnck, Oliver, Knoblauch, Jeremias, Damoulas, Theodoros, 2021. Transforming Gaussian processes with normalizing flows. 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. 1081-1089
  • Lemercier, Maud, Salvi, Cristopher, Cass, Thomas, Bonilla, Edwin V., Damoulas, Theodoros, Lyons, Terry, 2021. SigGPDE : scaling sparse Gaussian processes on sequential data. ICML : 2021 Thirty-eighth International Conference on Machine Learning, Virtual, 18-24 Jul 2021, Published in Proceedings of the 38th International Conference on Machine Learning, pp. 6233-6242
  • Akyildiz, Ömer Deniz, van den Burg, Gerrit J. J., Damoulas, Theodoros, Steel, Mark F. J., 2021. Probabilistic sequential matrix factorization. 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. 3484-3492
  • Lemercier, Maud, Salvi, Cristopher, Damoulas, Theodoros, Bonilla, Edwin V., Lyons, Terry, 2021. Distribution regression for sequential data. 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 (AISTATS), pp. 3754-3762
  • 'Conlan, Chris, 'Cunningham, Teddy, 'Demirci, Gunduz, 'Ferhatosmanoglu, Hakan, 2021. 'Collective shortest paths for minimizing congestion on temporal load-aware road networks. SIGSPATIAL 2021 : 14th International Workshop on Computational Transportation Science (IWCTS '21), Beijing, China, 2-5 Nov 2021, Published in IWCTS '21: Proceedings of the 14th ACM SIGSPATIAL International Workshop on Computational Transportation Science, pp. 1-10
  • 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
  • Ma, Qingzhi, Shanghooshabad, Ali M., Almasi, Mehrdad, Kurmanji, Meghdad, Triantafillou, Peter, 2021. Learned approximate query processing : make it light, accurate and fast. Conference on Innovative Data Systems, (CIDR21), Virtual conference, 12-15 Jan 2021, Published in Conference on Innovative Data Systems, (CIDR21)
  • Shanghooshabad, A. M., Kurmanji, M., Ma, Q., Shekelyan, Michael, Almasi, Mehrdad, Triantafillou, Peter, 2021. PGMJoins : random join sampling with graphical models. ACM Sigmod Conference on the Management of Data, Virtual, 20-25 Jun 2021, Published in SIGMOD/PODS '21: Proceedings of the 2021 International Conference on Management of Data, pp. 1610-1622
  • '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
  • 'Zhang, Linhai, 'Zhou, Deyu, 'Lin, Chao, 'He, Yulan, 2021. 'A multi-label multi-hop relation detection model based on relation-aware sequence generation. 2021 Conference on Empirical Methods in Natural Language Processing, Punta Cana, Dominican Republic, 7-11 Nov 2021, Published in Findings of the Association for Computational Linguistics: EMNLP 2021, pp. 4713-4719
  • '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
  • Zhao, Runcong, Gui, Lin, Pergola, Gabriele, He, Yulan, 2021. Adversarial learning of poisson factorisation model for gauging brand sentiment in user reviews. EACL 2021 : The 16th Conference of the European Chapter of the Association for Computational Linguistics, Virtual conference, 19-23 Apr 2021, Published in Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics : Main Volume, pp. 2341-2351
  • 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
  • Dougrez-Lewis, John, Liakata, Maria, Kochkina, Elena, He, Yulan, 2021. Learning disentangled latent topics for Twitter rumour veracity classification. 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), Bangkok, Thailand, 1-6 Aug 2021, Published in Proceedings of 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021)
  • Zhu, Lixing, Pergola, Gabriele, Gui, Lin, Zhou, Deyu, He, Yulan, 2021. Topic-driven and knowledge-aware transformer for dialogue emotion detection. ACL 2021, Online, 2?4 Aug 2021, Published in Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language, pp. 1571-1582
  • Fang, Zheng, He, Yulan, Procter, Rob, 2021. A query-driven topic model. The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), Bangkok, Thailand, 1-6 Aug 2021, Published in Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pp. 1764-1777
  • Liang, Bin, Fu, Yonghao, Gui, Lin, Yang, Min, Du, Jiachen, He, Yulan, Xu, Ruifeng, 2021. Target-adaptive graph for cross-target stance detection. The Web conference 2021, Virtual conference, 12-23 Apr 2021, Published in Proceedings of Web Conference 2021, pp. 3453-3464
  • Pergola, Gabriele, Kochkina, Elena, Gui, Lin, Liakata, Maria, He, Yulan, 2021. Boosting low-resource biomedical QA via entity-aware masking strategies. EACL 2021: The 16th Conference of the European Chapter of the Association for Computational Linguistics, Virtual conference, 19-23 Apr 2021, Published in Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pp. 1977-1985
  • Yan, Hanqi, Gui, Lin, Pergola, Gabriele, He, Yulan, 2021. Position bias mitigation : a knowledge-aware graph model for emotion cause extraction. 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), Bangkok, Thailand, 1-6 Aug 2021, Published in Proceedings of 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), pp. 3364-3375
  • Lou, Chenwei, Bin, Liang, Gui, Lin, He, Yulan, Dang, Yixue, Xu, Ruifeng, 2021. Affective dependency graph for sarcasm detection. The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Online, 11-15 Jul 2021, Published in SIGIR '21: Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1844-1849
  • Cormode, Graham, Veselý, Pavel, 2020. A tight lower bound for comparison-based quantile summaries. 39th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems (PODS?20), Portland, OR, USA, 14?19 Jun 2020, Published in Proceedings of the 39th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems (PODS?20), pp. 81-93
  • Aglietti, Virginia, Damoulas, Theodoros, Alvarez, Mauricio, Gonzalez, Javier, 2020. Multi-task causal learning with Gaussian processes. Thirty-fourth Conference on Neural Information Processing Systems, Virtual conference, 7-12 Dec 2020, Published in Advances in Neural Information Processing Systems 33 (NeurIPS 2020), pp. 6293-6304
  • Wang, Kangrui, Hamelijnck, Oliver, Damoulas, Theodoros, Steel, Mark F. J., 2020. Non-separable non-stationary random fields. 37th International Conference on Machine Learning, ICML 2020, Remote, 13-18 Jul 2020, Published in Proceedings of the 37th International Conference on Machine Learning, pp. 9887-9897
  • Boustati, Ayman, Akyildiz, Omar Deniz, Damoulas, Theodoros, Johansen, Adam M., 2020. Generalised Bayesian filtering via sequential Monte Carlo. 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Virtual conference, 7-12 Dec 2020, Published in Advances in Neural Information Processing Systems, pp. 418-429
  • Luo, Man, Zhang, Wenzhe, Song, Tianyou, Li, Kun, Zhu, Hongming, Du, Bowen, Wen, Hongkai, 2020. Rebalancing expanding EV sharing systems with deep reinforcement learning. International Joint Conference on Artificial Intelligence, Yokohama, Japan, 11-17 Jul 2020, Published in Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, pp. 1338-1344
  • Lee, Royson, Dudziak, Lukasz, Abdelfattah, Mohamed, Venieris, Stylianos I., Kim, Hyeji, Wen, Hongkai, Lane, Nicholas D., 2020. Journey towards tiny perceptual super-resolution. 16th European Conference on Computer Vision, Virtual conference, 23-28 Aug 2020, Published in Computer Vision ? ECCV 2020 : 16th European Conference, Glasgow, UK, August 23?28, 2020, Proceedings, Part XXVI, pp. 85-102
  • Wang, Yanxiang, Du, Bowen, Shen, Yiran, Wu, Kai, Zhao, Guangrong, Sun, Jianguo, Wen, Hongkai, 2020. EV-Gait : Event-based robust gait recognition using dynamic vision sensors. 2019 IEEE International Conference on Computer Vision and Pattern Recognition, Long Beach, CA, 15-20 Jun 2019, Published in 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Du, Liang, Tan, Jingang, Xue, Xiangyang, Chen, Lili, Wen, Hongkai, Feng, Jianfeng, Li, Jiamao, Zhang, Xiaolin, 2020. 3DCFS : Fast and robust joint 3D semantic-instance segmentation via coupled feature selection. IEEE International Conference on Robotics and Automaion, Paris, France, 31 May - 4 Jun 2020, Published in 2020 IEEE International Conference on Robotics and Automation (ICRA)
  • Basik, Fuat, Ferhatosmanoglu, Hakan, Gedik, Bugra, 2020. SLIM : Scalable Linkage of Mobility Data. ACM SIGMOD/PODS International Conference on Management of Data, Portland, OR, USA, 14- 19 Jun 2020, Published in SIGMOD '20: Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data, pp. 118-1196
  • Yu, Weiren, Iranmanesh, Sima, Haldar, Aparajita, Zhang, Maoyin, Ferhatosmanoglu, Hakan, 2020. An axiomatic role similarity measure based on graph topology. SFDI 2020 : LSGDA 2020, Published in Software Foundations for Data Interoperability and Large Scale Graph Data Analytics, pp. 33-48
  • Savva, Fotis, Anagnostopoulos, Christos, Triantafillou, Peter, 2020. Aggregate query prediction under dynamic workloads. 2019 IEEE International Conference on Big Data (Big Data), Los Angeles, CA, USA, 9-12 Dec 2019, pp. 671-676
  • Ma, Qingzhi, Triantafillou, Peter, 2020. Query-centric regression for In-DBMS analytics. DOLAP 2020 Design, Optimization, Languages and Analytical Processing of Big Data, Copenhagen, Denmark, 30 Mar 2020, Published in Proceedings of the 22nd International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data co-located with EDBT/ICDT 2020 Joint Conference (EDBT/ICDT 2020), pp. 16-25
  • Savva, Fotis, Anagnostopoulos, Christos, Triantafillou, Peter, 2020. SuRF : identification of interesting data regions with surrogate models. 2020 IEEE 36th International Conference on Data Engineering (ICDE), Dallas, TX, USA, 20-24 Apr 2020, Published in 2020 IEEE 36th International Conference on Data Engineering (ICDE), pp. 1321-1332
  • Wang, Rui, Hu, Xuemeng, Zhou, Deyu, He, Yulan, Xiong, Yuxuan, Ye, Chenchen, Xu, Haiyang, 2020. Neural topic modeling with bidirectional adversarial training. The 58th annual meeting of the Association for Computational Linguistics (ACL), Virtual conference, 5-10 Jul 2020, Published in Proceedings of The 58th annual meeting of the Association for Computational Linguistics (ACL), pp. 340-350
  • Lu, Junru, Pergola, Gabriele, Gui, Lin, Li, Binyang, He, Yulan, 2020. CHIME : Cross-passage hierarchical memory network for generative review question answering. The 28th International Conference on Computational Linguistics, Virtual conference, 8-13 Dec 2020, Published in Proceedings of the 28th International Conference on Computational Linguistics, pp. 2547-2560
  • Zeng, Jichuan, Li, Jing, He, Yulan, Gao, Cuiyun, Lyu, Michael, King, Irwin, 2020. What changed your mind : the roles of dynamic topics and discourse in argumentation process. The Web Conference 2020, Taipei, 20-24 Apr 2020, Published in WWW '20: Proceedings of The Web Conference 2020, pp. 1502-1513
  • Liang, Bin, Yin, Rongdi, Gui, Lin, Du, Jiachen, He, Yulan, Xu, Ruifeng, 2020. Aspect-invariant sentiment feature learning : adversarial multi-task learning for aspect-based sentiment analysis. 28th ACM International Conference on Information and Knowledge Management (CIKM), Virtual conference, 18-23 Oct 2020, Published in CIKM '20: Proceedings of the 29th ACM International Conference on Information & Knowledge Management, pp. 825-834
  • Zhu, Lixing, He, Yulan, Deyu, Zhou, 2020. Neural temporal opinion modelling for opinion prediction on Twitter. Annual Meeting of the Association for Computational Linguistics (2020), Online, 6?8 Jul 2020, Published in Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pp. 3804-3810
  • Cormode, Graham, Veselý, Pavel, 2019. Streaming algorithms for bin packing and vector scheduling. Workshop on Approximation and Online Algorithms, Munich, Germany, 9-13 Sep 2019, Published in Approximation and Online Algorithms. WAOA 2019, pp. 72-88
  • Hickey, Christopher J. A., Cormode, Graham, 2019. Efficient interactive proofs for linear algebra. ISAAC 2019: The 30th International Symposium on Algorithms and Computation, Shanghai, China, 8-11 Dec 2019, Published in 30th International Symposium on Algorithms and Computation (ISAAC 2019), pp. 48:1-48:19
  • Cormode, Graham, Dark, Jacques, Konrad, Christian, 2019. Independent sets in vertex-arrival streams. 46th International Colloquium on Automata, Languages and Programming, Patras, Greece, 8-12 Jul 2019, Published in 46th International Colloquium on Automata, Languages, and Programming (ICALP 2019), pp. 45-1
  • Cormode, Graham, Kulkarni, Tejas M., Srivastava, D., 2019. Answering range queries under local differential privacy. International Conference on Very Large Data Bases (VLDB), California, 26-30 Aug 2019, Published in Proceedings of the VLDB Endowment, pp. 1126-1138
  • Cormode, Graham, Dickens, Charlie, 2019. Iterative hessian sketch in input sparsity time. 33rd Conference on Neural Information Processing Systems NeurIPS 2019, Vancouver, Canada, 8-14 Dec 2019, Published in Proceedings of Beyond First Order Methods in ML
  • Chitnis, Rajesh, Cormode, Graham, 2019. Towards a theory of parameterized streaming algorithms. International Symposium on Parameterized and Exact Computation, Munich, Germany, 9-13 Sep 2019, Published in 14th International Symposium on Parameterized and Exact Computation (IPEC 2019), pp. 7:1-7:15
  • 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
  • Lu, Chris Xiaoxuan, Kan , Xuan, Du, Bowen, Chen , Changhao, Wen , Hongkai, Markham , Andrew, Trigoni , Niki, Stankovic , John, 2019. Autonomous learning for face recognition in the wild via ambient wireless cues. The Web Conference 2019, San Francisco, 13-17 May 2019, Published in Proceedings of WWW '19 The World Wide Web Conference, pp. 1175-1186
  • Zhu, Ran, Xiao, Zhuoling, Cheng, Mo, Zhou, Liangzhi, Yang, Bo, Lin, Shuisheng, Wen, Hongkai, 2019. Deep Ensemble Learning for Human Activity Recognition Using Smartphone. 2018 IEEE 23rd International Conference on Digital Signal Processing (DSP), Shanghai, China, 19-21 November 2018, pp. 1-5
  • Wu, Kai, Du, Bowen, Luo, Man, Wen, Hongkai, Shen, Yiran, Feng, Jianfeng, 2019. Weakly supervised brain lesion segmentation via attentional representation learning. 22nd International Conference on Medical Image Computing and Computer Assisted Intervention, Shenzhen, China, 13-17 Oct 2019, Published in Medical Image Computing and Computer Assisted Intervention ? MICCAI 2019
  • Du, Bowen, Wen, Hongkai, Lu, Chris Xiaoxuan, Kan, Xuan, Wu, Kai, Luo, Man, Hou, Jianfeng, Li, Kai, Kanhere, Salil, Shen, Yiran, 2019. HydraDoctor : Real-time liquids intake monitoring by collaborative sensing. 20th International Conference on Distributed Computing and Networking (ICDCN 2019), Bangalore, India, 4-7 January 2019, Published in ICDCN '19 Proceedings of the 20th International Conference on Distributed Computing and Networking, pp. 213-217
  • 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
  • Moshfeghi, Yashar, Triantafillou, Peter, Pollick, Frank, 2019. Towards predicting a realisation of an information need based on brain signals. WWW '19 The World Wide Web Conference, San Francisco CA USA, 13-17 May 2019, Published in WWW '19 The World Wide Web Conference, pp. 1300-1309
  • Ma, Qingzhi, Triantafillou, Peter, 2019. DBEst : revisiting approximate query processing engines with machine learning models. 2019 ACM International Conference on the Management of Data, SIGMOD19, Amsterdam, Netherlands, 30 Jun - 5 Jul 2019, Published in SIGMOD '19 Proceedings of the 2019 International Conference on Management of Data, pp. 1553-1570
  • Yang, Yang, Zhou, Deyu, He, Yulan, Zhang, Meng, 2019. Interpretable relevant emotion ranking with event-driven attention. 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), Hong Kong, China, 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. 177-187
  • Wang, Rui, Zhou, Deyu, He, Yulan, 2019. Open event extraction from online text using a generative adversarial network. 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Hong Kong, China, 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, pp. 282-291
  • Gui, Lin, Leng, Jia, Pergola, Gabriele, Zhou, Yu, Xu, Ruifeng, He, Yulan, 2019. Neural topic model with reinforcement learning. 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. 3478-3483
  • 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
  • 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
  • Lu, Chris Xiaoxuan, Zhao, Peijun, Du, Bowen, Wen, Hongkai, Markham, Andrew, Rosa, Stefano, Trigoni, Niki, 2018. Automatic face recognition adaptation via ambient wireless identifiers. SenSys 2018, Shenzhen, China, 4-7 Nov 2018, Published in SenSys '18 Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems, pp. 377-378
  • Xiaoxuan Lu, Chris, Li, Yang, Zhao, Peijun, Chen, Changhao, Xie, Linhai, Tan, Rui, Wen, Hongkai, Trigoni, Niki, 2018. Simultaneous localization and mapping with power network electromagnetic field. MobiCom 2018 : The 24th Annual International Conference on Mobile Computing and Networking, New Delhi, India, 29 Oct - 2 Nov 2018, pp. 607-622
  • Xiaoxuan Lu , Chris, Du, Bowen, Zhao, Peijun, Wen, Hongkai, Shen, Yiran, Markham, Andrew, Trigoni, Niki, 2018. DeepAuth : in-situ authentication for smartwatches via deeply learned behavioural biometrics. ISWC '18 : International Symposium on Wearable Computers, Singapore, 8?12 Oct 2018, Published in ISWC '18: Proceedings of the 2018 ACM International Symposium on Wearable Computers, pp. 204-207
  • 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
  • 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
  • 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
  • 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
  • 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
  • Xiaoxuan Lu, Chris, Bowen, Du, Wen, Hongkai, Wang, Sen, Markham, Andrew, Martinovic, Ivan, Shen, Yiran, Trigoni, Niki, 2017. Snoopy : sniffing your smartwatch passwords via deep sequence learning. Ubicomp ?18: The 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Singapore, 8-12 Oct 2018, Published in Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT)
  • Lu, Chris Xiaoxuan, Wen, Hongkai, Wang, Sen, Markham, Andrew, Trigoni, Niki, 2017. SCAN : learning speaker identity from noisy sensor data. 16th International Conference on Information Processing in Sensor Networks, Pittsburgh, Pennsylvania, USA, 18-21 Apr 2017, Published in 16th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), 2017, pp. 67-78
  • Clark, Ronald, Wang, Sen, Markham, Andrew, Trigoni, Niki, Wen, Hongkai, 2017. Vidloc : a deep spatio-temporal model for 6-dof video-clip relocalization. CVPR, Honolulu, Hawaii, 22-25 Jul 2017, Published in 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2652-2660
  • Shen, Yiran, Yang, Fengyuan, Du, Bowen, Xu, Weitao, Luo, Chengwen, Wen, Hongkai, 2017. Shake-n-shack : enabling secure data exchange between Smart Wearables via handshakes. PERCOM18, Athens, Greece, 19-23 Mar 2018
  • Rosa, Stefano, Lu, Xiaoxuan, Wen, Hongkai, Trigoni, Niki, 2017. Leveraging user activities and mobile robots for semantic mapping and user localization. 2017 Conference on Human-Robot Interaction, Singapore, 29 May - 3 June 2017
  • Clark, Ronald, Wang, Sen, Wen, Hongkai, Markham, Andrew, Trigoni, Niki, 2017. VINet : Visual-inertial odometry as a sequence-to-sequence learning problem. Thirty-First AAAI Conference on Artificial Intelligence, San Francisco, California, 4-9 Feb 2017, Published in Proceedings of Thirty-First AAAI Conference on Artificial Intelligence, pp. 3995-4001
  • Wang, Sen, Clark, Ronald, Wen, Hongkai, Trigoni, Niki, 2017. DeepVO : towards end-to-end visual odometry with deep recurrent convolutional neural networks. 2017 IEEE International Conference on Robotics and Automation, Singapore, 29 May - 3 June 2017, Published in 2017 IEEE International Conference on Robotics and Automation (ICRA)
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • Lu, Xiaoxuan, Wen, Hongkai, Zou, Han, Jiang, Hao, Xie, Lihua, Trigoni, Niki, 2016. Robust occupancy inference with commodity WiFi. IEEE 12th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), New York City, USA, 17-19 Oct 2016, Published in IEEE 12th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
Title Funder Award start Award end
FAIR: Framework for responsible adoption of Artificial Intelligence in the financial seRvices industry EPSRC 01 Dec 2021 30 Nov 2026
New Horizons in Multivariate Preprocessing (MULTIPROCESS) EPSRC 01 Jan 2022 31 Dec 2025
ML Foundations of Digital Twins EPSRC 01 Jan 2021 31 Dec 2025
Event Centric Framework for Natural Language Understanding EPSRC 01 Jan 2021 31 Dec 2025
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 Sep 2024
ACE Studentship Proposal: Cybersecurity and Local Differential Privacy GCHQ 30 Sep 2019 31 Mar 2024
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
Alan Turing Institute Research Fellowship for Dr Nathaniel Fijalkow Alan Turing Institute 01 Jul 2020 30 Sep 2022
PathLEAD:?Pathology image data Lake for Education, Analytics and Discovery (6 months costed extension to IDEATE 59254) Innovate UK 01 Apr 2022 30 Sep 2022
EPSRC Mathematical Sciences RA Pool (linked to Ideate 68849) EPSRC 01 Apr 2021 30 Sep 2022
Learning from COVID-19: An AI-enabled evidence-driven framework for claim veracity assessment during pandemics EPSRC 28 Dec 2020 30 Sep 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
Decision Support Tool West Midlands Combined Authority 10 Nov 2020 09 Dec 2021
Turing Fellowship LRF funded Alan Turing Institute 01 Jul 2019 30 Jun 2021
Small Summaries for Big Data (SSBD) (Starting Grant) European Research Council 01 Apr 2015 31 Mar 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 Sep 2020 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
Turing Fellowship Agreement 2018-2020 Alan Turing Institute 01 Oct 2019 30 Sep 2020
Alan Turing Institute Fellowship 2020 for 1 year Cont Prev Proposal 57718 Alan Turing Institute 01 Oct 2019 30 Sep 2020
Enabling massive-data analytics over linked data resources Alan Turing Institute 01 Oct 2019 30 Sep 2020
Turing Fellowship Alan Turing Institute 01 Oct 2018 30 Sep 2020
Dynamics of Ambient Air Pollution Alan Turing Institute 01 Oct 2019 30 Sep 2020
Turing Project 2018: Damoulas Alan Turing Institute 01 Oct 2018 30 Sep 2020
ATI Fellowship Alan Turing Institute 01 Oct 2018 30 Sep 2020
Deep Understanding of Patient Experience of Healthcare from Social Media - DeepPatient European Commission 01 Sep 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 Sep 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 Sep 2019
Royal Society Wolfson Research Merit Award - Small Summaries for Big Data Royal Society 01 Aug 2014 31 Jul 2019
Antenna Calibration for Cellular Networks Huawei Technologies Co., Ltd. 01 Oct 2018 31 Jul 2019
Scalable Regression: Tools and Techniques Alan Turing Institute 01 Nov 2018 31 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
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
The Alan Turing Institute Faculty Fellow Award Alan Turing Institute 01 Oct 2016 30 Sep 2018
Doing Anonymization Practically, Privately, Effectively and Reusably - MC CIG Bid by Prof G Cormode European Commission 01 Jan 2014 31 Dec 2017
The Alan Turing Institute Faculty Fellow Award Alan Turing Institute 01 Oct 2016 31 Dec 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
Extension to DIMAP - The centre for discrete mathematics and its applications EPSRC 26 Mar 2013 25 Mar 2014