Publications

2022

H. Yan, L. Gui and Y. He. Hierarchical Interpretation of Neural Text Classification, Computational Linguistics, to appear.
J. Wang, A. Bhalerao and Y. He. Cross-modal Prototype Driven Network for Radiology Report Generation. 17th European Conference on Computer Vision (ECCV), 2022, Tel-Aviv, Israel, Oct. 2022.
H. Yan, L. Gui, W. Li ad Y. He. Addressing Token Uniformity in Transformers via Singular Value Transformation. 38th Conference on Uncertainty in Artificial Intelligence (UAI), Eindhoven, Netherlands, Aug. 2022.
R. Adewoyin, R. Dutta and Y. He. RSTGen: Imbuing Fine-Grained Interpretable Control into Long-FormText Generators. 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), Jul. 2022.
L. Zhu, Z. Fang, G. Pergola, R. Procter and Y. He. Disentangled Learning of Stance and Aspect Topics for Vaccine Attitude Detection in Social Media. 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), Jul. 2022.
M. Arana Catania, E. Kochkina, A. Zubiaga, M. Liakata, R. Procter and Y. He. 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 (NAACL), Jul. 2022. [dataset]
B. Liang, Q. Zhu, X. Li, M. Yang, L. Gui, Y. He and R. Xu. JointCL: A Joint Contrastive Learning Framework for Zero-Shot Stance Detection. The 60th Annual Meeting of the Association for Computational Linguistics (ACL), May 2022.
B. Liang, C. Lou, X. Li, M. Yang, L. Gui, Y. He, W. Pei and R. Xu. Multi-Modal Sarcasm Detection via Cross-Modal Graph Convolutional Network. The 60th Annual Meeting of the Association for Computational Linguistics (ACL), May 2022.
J. Dougrez-Lewis, M. Arana Catania, E. Kochkina, M. Liakata and Y. He. PHEMEPlus: Enriching Social Media Rumour Verification with External Evidence. The 5th FEVER Workshop, co-located with ACL, May 2022.
S. Gao, C. Gao, Y. He, J. Zeng, L. Nie, X. Xia, M. Lyu. Code Structure Guided Transformer for Source Code Summarization. ACM Transactions on Software Engineering and Methodology, to appear.
S. Salawu, J. Lumsden, Y. He. A Mobile-Based System for Preventing Online Abuse and Cyberbullying. International Journal of Bullying Prevention, to appear.
B. Liang, Z. Chen, L. Gui, Y. He, M. Yang and R. Xu. Zero-Shot Stance Detection via Contrastive Learning. The Web Conference (WWW), Apr. 2022.

2021

L. Gui and Y. He. Understanding Patient Reviews with Minimum Supervision. Artificial Intelligence in Medicine, to appear.
X. Tan, G. Pergola and Y. He. Extracting Event Temporal Relations via Hyperbolic Geometry, Conference on Empirical Methods in Natural Language Processing (EMNLP), Nov. 2021.
D. Zhou, J. Wang, L. Zhang and Y. He. Implicit Sentiment Analysis with Event-Centered Text Representation, Conference on Empirical Methods in Natural Language Processing (EMNLP), Nov. 2021.
C. Ye, L. Zhang, D. Zhou, Y. He and J. Wu. Beyond Text: Incorporating Metadata and Label Structure for Multi-Label Document Classification using Heterogeneous Graphs, Conference on Empirical Methods in Natural Language Processing (EMNLP), Nov. 2021.
L. Zhang, D. Zhou, C. Lin and Y. He. A Multi-label Multi-hop Relation Detection Model based on Relation-aware Sequence Generation, EMNLP Findings, 2021.
W. Zhang, L. Gui and Y. He. Supervised Contrastive Learning for Multi-modal Unreliable News Detection in COVID-19 Pandemic, The 30th ACM International Conference on Information and Knowledge Management (CIKM), Nov. 2021.
H. Yan, L. Gui, G. Pergola and Y. He. Position Bias Mitigation: A Knowledge-Aware Graph Model for Emotion Cause Extraction, The 59th Annual Meeting of the Association for Computational Linguistics (ACL), Aug. 2021.
L. Zhu, G. Pergola, L. Gui, D. Zhou and Y. He. Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection, The 59th Annual Meeting of the Association for Computational Linguistics (ACL), Aug. 2021.
J. Si, D. Zhou, T. Li, X. Shi and Y. He. Topic-aware Evidence Reasoning and Stance-aware Aggregating for Fact Verification, The 59th Annual Meeting of the Association for Computational Linguistics (ACL), Aug. 2021.
J. Dougrez-Lewis, E. Kochkina, M. Liakata and Y. He. Learning Disentangled Latent Topics for Twitter Rumour Veracity Classification, ACL Findings, 2021.
Z. Fang, Y. He and R. Procter. Query-Driven Topic Model, ACL Findings, 2021.
S. Salawu, J. Lumsden and Y. He. A Large-Scale English Multi-Label Twitter Dataset for Cyberbullying and Online Abuse Detection. Proceedings of the 5th Workshop on Online Abuse and Harms, co-located with ACL, 2021. [dataset]
C. Lou, B. Liang, L. Gui, Y. He, Y. Dang and R. Xu. Affective Dependency Graph for Sarcasm Detection, The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Jul. 2021.
B. Liang, R. Yin, J. Du, L. Gui, Y. He, M. Yang and R. Xu. Embedding Refinement Framework for Targeted Aspect-based Sentiment Analysis, IEEE Transactions in Affective Computing, to appear.
D. Zhou, K. Sun, M. Hu and Y. He. Image Generation from Text with Entity Information Fusion, Knowledge-Based Systems, Vol. 227, 107200, 2021.
G. Pergola, L. Gui and Y. He. A Disentangled Adversarial Neural Topic Model for Separating Opinions from Plots in User Reviews, Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), Jun. 2021.
B. Liang, Y. Fu, L. Gui, M. Yang, J. Du, Y. He and R. Xu. Target-adaptive Graph for Cross-target Stance Detection, The Web Conference (WWW), Apr. 2021.
R. Zhao, L. Gui, G. Pergola and Y. He. Adversarial Learning of Poisson Factorisation Model for Gauging Brand Sentiment in User Reviews, The 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL), Apr. 2021.
G. Pergola, E. Kochkina, L. Gui, M. Liakata and Y. He. Boosting Low-Resource Biomedical QA via Entity-Aware Masking Strategies, The 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL), Apr. 2021.
L. Zhang, D. Zhou, Y. He and Z. Yang. MERL: Multimodal Event Representation Learning in Heterogeneous Embedding Spaces, The 35th AAAI Conference on Artificial Intelligence (AAAI), Feb. 2021.
D. Zhou, M. Zhang, L. Zhang and Y. He. A Neural Group-wise Sentiment Analysis Model with Data Sparsity Awareness, The 35th AAAI Conference on Artificial Intelligence (AAAI), Feb. 2021.
M. Arana-Catania, F. A. Van Lier, R. Procter, N. Tkachenko, Y. He, A. Zubiaga, M. Liakata. Citizen Participation and Machine Learning for a Better Democracy. Digital Government: Research and Practice, to appear.
D. Zhou, M. Zhang, Y. Yang and Y. He. Hierarchical State Recurrent Neural Network for Social Emotion Ranking. Computer Speech & Language, Vol. 68, 101177, 2021.
L. Zhang, C. Lin, D. Zhou, Y. He and M. Zhang. A Bayesian End-to-End Model with Estimated Uncertainties for Simple Question Answering over Knowledge Bases. Computer Speech & Language, Vol. 66, 101167, 2021.

2020

J. Lu, G. Pergola, L. Gui, B. Li and Y. He. CHIME: Cross-passage Hierarchical Memory Network for Generative Review Question Answering, The 28th International Conference on Computational Linguistics (COLING), Dec. 2020. [code]
S. Salawu, Y. He and J. Lumsden. BullStop: A Mobile App for Cyberbullying Prevention, The 28th International Conference on Computational Linguistics (COLING), Dec. 2020. [demo]
R. Adewoyin, P. Dueben, P. Watson, Y. He, R. Dutta. TRU-NET: A Deep Learning Approach to High Resolution Prediction of Rainfall. arXiv:2008.09090.
B. Liang, R. Yin, L. Gui, J. Du, Y. He and R. Xu. Aspect-Invariant Sentiment Feature Learning: Adversarial Multi-task Learning for Aspect-Based Sentiment Analysis, The 29th ACM International Conference on Information and Knowledge Management (CIKM), 2020.
L. Gui, J. Leng, J. Zhou, R. Xu and Y. He. Multi-Task Learning with Mutual Learning for Joint Sentiment Classification and Topic Detection, IEEE Transactions on Knowledge and Data Engineering (TKDE), accepted.
L. Zhu, Y. He and D. Zhou. A Neural Generative Model for Joint Learning Topics and Topic-Specific Word Embeddings. Transactions of the Association for Computational Linguistics (TACL), accepted. [code]
L. Zhu, Y. He and D. Zhou. Neural Temporal Opinion Modelling for Opinion Prediction on Twitter. 2020 Annual Conference of the Association for Computational Linguistics (ACL), Jul. 2020.
R. Wang, X. Hu, D. Zhou, Y. He, Y. Xiong, C. Ye and H. Xu. Neural Topic Modeling with Bidirectional Adversarial Training. 2020 Annual Conference of the Association for Computational Linguistics (ACL), Jul. 2020.
C. Fan, C. Yuan, J. Du, L. Gui, M. Yang, R. Xu. Transition-based directed graph construction for emotion-cause pair extraction. 2020 Annual Conference of the Association for Computational Linguistics (ACL), Jul. 2020.
J. Zeng, J. Li, Y. He, C. Gao, M. Lyu and I. King. What Changed Your Mind: The Roles of Dynamic Topics and Discourse in Argumentation Process. The Web Conference (WWW), Taipei, Apr. 2020.
V. Batra, A. Haldar, Y. He, H. Ferhatosmanoglu, G. Vogiatzis and T. Guha. Variational Recurrent Sequence-to-Sequence Retrieval for Stepwise Illustration. The 42nd European Conference on Information Retrieval (ECIR), Lisbon, Portugal, Apr. 2020.
R. Wang, D. Zhou and Y. He. Optimising topic coherence with Weighted Polya Urn scheme. Neurocomputing, 385:329-339, 2020.
L. Zhu, Y. He and D. Zhou. Neural Opinion Dynamics Model for the Prediction of User-Level Stance Dynamics. Information Processing and Management, 57(2):102031, 2020.

2019

R. Wang, D. Zhou and Y. He. Open Event Extraction from Online Texts using a Generative Adversarial Network. Conference on Empirical Methods in Natural Language Processing (EMNLP), Hong Kong, China, Nov. 2019.
Y. Yang, D. Zhou, Y. He and M. Zhang. Interpretable Relevant Emotion Ranking with Event-Driven Attention. Conference on Empirical Methods in Natural Language Processing (EMNLP), Hong Kong, China, Nov. 2019.
L. Gui, J. Leng, G. Pergola, Y. Zhou, R. Xu and Y. He. Neural Topic Model with Reinforcement Learning. Conference on Empirical Methods in Natural Language Processing (EMNLP), Hong Kong, China, Nov. 2019.
M. Hu, D. Zhou and Y. He. Variational Conditional GAN for Fine-grained Controllable Image Generation. The 11th Asian Conference on Machine Learning (ACML), Nagoya, Japan, Nov. 2019.
G. Pergola, L. Gui and Y. He. TDAM: a Topic-Dependent Attention Model for Sentiment Analysis. Information Processing and Management, 56(6):102084, 2019.
R. Wang, D. Zhou and Y. He. ATM: Adversarial-neural Topic Model. Information Processing and Management, 56(6):102098, 2019.
J. Zeng, J. Li, Y. He, C. Gao, M. Lyu, I. King. What You Say and How You Say it: Joint Modeling of Topics and Discourse in Microblog Conversations. Transactions of the Association for Computational Linguistics (TACL), 7:267-281, 2019.
J. Du, L. Gui, Y. He, R. Xu and X. Wang. Convolution-Based Neural Attention with Applications to Sentiment Classification. IEEE Access, 7:27983 - 27992, 2019.
L. Zhu, Y. He and D. Zhou. Hierarchical Viewpoint Discovery from Tweets Using Bayesian Modelling. Expert Systems with Applications, 116:430-438, 2019.
D. Tang, Z. Zhang, Y. He, C. Lin and D. Zhou. Hidden Topic and Emotion Transition Model for Multi-Level Social Emotion Detection, Knowledge-Based Systems, 164:426-435, 2019.

2018

Y. Yang, D. Zhou and Y. He. An Interpretable Neural Network with Topical Information for Relevant Emotion Ranking. The 15th International Conference on Empirical Methods on Natural Language Processing (EMNLP), Brussel, Belgium, Oct. 2018.
J. Du, W. Li, Y. He, L. Bing, R. Xu and X. Wang. Variational Autoregressive Decoder for Neural Response Generation, The 15th International Conference on Empirical Methods on Natural Language Processing (EMNLP), Brussel, Belgium, Oct. 2018.
D. Zhou, Z. Zhang, M. Zhang and Y. He. Weakly Supervised Part-of-Speech (POS) Tagging without Disambiguation, ACM Transactions on Asian and Low-Resource Language Information Processing, 17(4):Article 35, 2018.
D. Zhou, L Miao and Y. He. Position-Aware Deep Multi-Task Learning for Drug-Drug Interaction Extraction. Artificial Intelligence in Medicine, 87:1-8, 2018.
T. Bai, W.X. Zhao, Y. He, J-Y. Nie and J.-R. Wen. Characterizing and Predicting Early Reviewers for Effective Product Marketing on E-Commerce Websites. IEEE Transactions on Knowledge and Data Engineering, 30(12):2271-2284, 2018.
D. Zhou, Y. Yang and Y. He. Relevant Emotion Ranking from Text Constrained with Emotion Relationships, The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL), New Orleans, Louisiana, USA, Jun. 2018.
D. Zhou, L. Guo and Y. He. Neural Storyline Extraction Model for Storyline Generation from News Articles, The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL), New Orleans, Louisiana, USA, Jun. 2018.
U. Orizu and Y. He. Content-Based Conflict-of-Interest Detection on Wikipedia, The 11th International Conference on Language Resources and Evaluation (LREC), Miyazaki, Japan, May 2018.
V. Batra, Y. He and G. Vogiatzis. A Deep Learning Approach to Automatic Caption Generation for News Images, The 11th International Conference on Language Resources and Evaluation (LREC), Miyazaki, Japan, May 2018.
G. Pergola, Y. He and D. Lowe. Topical Phrase Extraction from Clinical Reports by Incorporating both Local and Global Context, The 2nd AAAI Workshop on Health Intelligence, New Orleans, Louisiana, USA, Feb. 2018.
W.X. Zhao, W. Zhang, Y. He, X. Xie and J.-R. Wen. Automatically Learning Topics and Difficulty Levels of Problems in Online Judge Systems. ACM Transactions on Information Systems, Vol. 36, No. 3, Article 27, 2018.

2017

D. Vilares and Y. He. Detecting Perspectives in Political DebatesLink opens in a new window. The 14th International Conference on Empirical Methods on Natural Language Processing (EMNLP), Copenhagen, Denmark, Sep. 2017.
L. Gui, J. Hu, Y. He, R. Xu, Q. Lu and J. Du. A Question Answering Approach for Emotion Cause ExtractionLink opens in a new window. The 14th International Conference on Empirical Methods on Natural Language Processing (EMNLP), Copenhagen, Denmark, Sep. 2017.
J. Du, R. Xu, Y. He and L. Gui. Stance Classification with Target-Specific Neural AttentionLink opens in a new window, The 26th International Joint Conference on Artificial Intelligence (IJCAL), Melbourne, Australia, Aug. 2017.
L. Gui, Y. Zhou, R. Xu, Y. He and Q. Lu, Learning Representations from Heterogeneous Network for Sentiment Classification of Product ReviewsLink opens in a new window, Knowledge-Based Systems, 124:34-45, 2017.
T. Chen, R. Xu, Y. He, X. Wang. Improving Sentiment Analysis via Sentence Type Classification using BiLSTM-CRF and CNNLink opens in a new window, Expert Systems with Applications, 72:221-230, 2017.
D Zhou, X. Zhang and Y. He. Event Extraction from Twitter using Non-Parametric Bayesian Mixture Model with Word EmbeddingsLink opens in a new window, The European Chapter of the Association for Computational Linguistics (EACL), Valencia, Spain, Apr. 2017.
J. Zhou, Q. Lu, R. Xu, Y. He and H. Wang. EL_PSSM-RT: DNA-binding Residue Prediction by Integrating Ensemble Learning with PSSM Relation TransformationLink opens in a new window. BMC Bioinformatics, 18:379, 2017.
D. Zhou, L. Chen, X. Zhang and Y. He. Unsupervised Event Exploration from Social Text StreamsLink opens in a new window, Intelligent Data Analysis, 21(4):849-866, 2017.

2016

T. Huynh, Y. He, A. Willis and S. Rueger. Adverse Drug Reaction Classification With Deep Neural NetworksLink opens in a new window, The 26th International Conference on Computational Linguistics (COLING), Osaka, Japan, Dec. 2016.
D. Zhou, T. Gao and Y. He. Jointly Event Extraction and Visualization on Twitter via Probabilistic ModellingLink opens in a new window, The 54th Annual Meeting of the Association for Computational Linguistics (ACL), Berlin, Germany, Aug. 2016.
J. Li, M. Liao, W. Gao, Y. He and K.-F. Wong. Topic Extraction from Microblog Posts Using Conversation StructuresLink opens in a new window, The 54th Annual Meeting of the Association for Computational Linguistics (ACL), Berlin, Germany, Aug. 2016.
D. Zhou, H. Xu, X. Dai and Y. He. Unsupervised Storyline Extraction on News ArticlesLink opens in a new window, The 25th International Joint Conference on Artificial Intelligence (IJCAI), New York, US, Jul. 2016.
L. Gui, R. Xu, Y. He, Q. Lu and Z. Wei. Intersubjectivity and Sentiment: from Language to KnowledgeLink opens in a new window, The 25th International Joint Conference on Artificial Intelligence (IJCAI), New York, US, Jul. 2016.
A.E. Cano and Y. He. A Study of the Impact of Persuasive Argumentation in Political DebatesLink opens in a new window, The 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), San Diego, CA, US, June, 2016.
U. Orizu and Y. He. Detecting Expressions of Blame or Praise in TextLink opens in a new window, The 10th edition of the Language Resources and Evaluation Conference (LREC), Portorož, Slovenia, May, 2016.
M. Emambakhsh, Y. He and I. Nabney. Handwritten and Machine-Printed Text Discrimination Using a Template Matching ApproachLink opens in a new window, The 12th IAPR International Workshop on Document Analysis Systems (DAS), Santorini, Greece, Apr. 2016.
T. Chen, R. Xu, Y. He, Y. Xia, X. Wang. Learning User and Product Distributed Representations Using a Sequence Model for Sentiment AnalysisLink opens in a new window, IEEE Computational Intelligence Magazine, 11(3):34-44, 2016.
Y. He. Extracting Topical Phrases from Clinical DocumentsLink opens in a new window. The 30th AAAI Conference on Artificial Intelligence (AAAI), Phoenix, Arizona, USA, Feb. 2016.
H. Saif, Y. He, M. Fernandez and H. Alani. Contextual Semantics for Sentiment Analysis of TwitterLink opens in a new window. Information Processing & Management, 52(1):5-19, 2016.
X. Zhao, S. Li, Y. He, E.Y. Chang, J-R Wen and X. Li. Connecting Social Media to E-Commerce: Cold-Start Product Recommendation On MicroblogsLink opens in a new window, IEEE Transactions on Knowledge and Data Engineering, 28(5):1147-1159, 2016.
X. Zhao, J. Wang, Y. He, J-R Wen, E.Y. Chang and X. Li. Mining Product Adopter Information from Online Reviews for Improving Product RecommendationLink opens in a new window, ACM Transactions on Knowledge Discovery from Data, Vol. 10, No. 3, Article 29, 2016.
V. Uren, D. Wright, J. Scott, Y. He and H. Saif. Social Media and Sentiment in Bioenergy ConsultationLink opens in a new window, International Journal of Energy Sector Management, 10(1):87-98, 2016.

2015

X. Zhao, J. Liu, Y. He, C.-Y. Lin and J.-R. Wen. A computational approach to measuring the correlation between expertise and social media influence for celebrities on microblogsLink opens in a new window, World Wide Web, pp. 1-25, 2015.
X. Zhao, S. Li, Y. He, L. Wang, J-R Wen and X. Li. Exploring Demographic Information in Social Media for Product RecommendationLink opens in a new window, Knowledge and Information Systems, pp. 1-29, 2015.
T. Chen, R. Xu, Y. He and X. Wang. A Gloss Composition and Context Clustering based Distributed Word Sense Representation ModelLink opens in a new window, Entropy, 17(9):6007-6024, 2015.
T. Chen, R. Xu, Y. He, X. Wang. Learning Task Specific Distributed Paragraph Representations Using a 2-Tier Convolutional Neural NetworkLink opens in a new window. The 22nd International Conference on Neural Information Processing (ICONIP), Istanbul, Turkey, Nov. 2015.
D. Zhou, H. Xu and Y. He. An Unsupervised Bayesian Modelling Approach to Storyline Detection from News ArticlesLink opens in a new window, The 12th International Conference on Empirical Methods on Natural Language Processing (EMNLP), Lisbon, Portugal, Sep. 2015.
G. Burel, P. Mulholland, Y. He and H. Alani. Predicting Answering Behaviour in Online Question Answering CommunitiesLink opens in a new window, The 26th ACM Conference on Hypertext and Social Media (Hypertext), Cyprus, Sep. 2015.
T. Chen, R. Xu, Y. He and X. Wang. Improving Distributed Representation of Word Sense via WordNet Gloss Composition and Context ClusteringLink opens in a new window, The 52nd Annual Meeting of the Association for Computational Linguistics (ACL), Beijing, China, Jul. 2015.
U. Orizu and Y. He. A Rule-Based Approach to Implicit Emotion Detection in TextLink opens in a new window, The 20th International Conference on Applications of Natural Language to Information Systems (NLDB), Passau, Germany, June 2015.
G. Burel, P. Mulholland, Y. He and H. Alani. Modelling Question Selection Behaviour in Online CommunitiesLink opens in a new window. In the Companion Processing of The 24th International Conference on World Wide Web (WWW), Florence, Italy, May 2015.
J. Wang, X. Zhao, Y. He and X. Li. Leveraging Product Adopter Information from Online Reviews for Product RecommendationLink opens in a new window, The 9th International AAAI Conference on Web and Social Media (ICWSM), Oxford, UK, May 2015.
X. Zhao, J. Wang, Y. He, J.-Y. Nie, J. Wen and X. Li. Incorporating Social Role into Topic Models for Social Media Content AnalysisLink opens in a new window, IEEE Transaction for Data and Knowledge Engineering, 27(4):1032-1044, 2015.
T. Huynh, Y. He and S. Rueger. Learning Higher-Level Features with Convolutional Restricted Boltzmann Machines for Sentiment AnalysisLink opens in a new window, The 37th European Conference on Information Retrieval (ECIR), Vienna, Austria, Mar. 2015.
D. Zhou, L. Chen and Y. He. An Unsupervised Framework of Exploring Events on Twitter: Filtering, Extraction and CategorisationLink opens in a new window, The 29th AAAI Conference (AAAI), Austin, Texas, USA, Jan. 2015.