For full publication list, please refer to my Google Scholar page or DBLP page.
Zhaoyue Sun, Gabriele Pergola and Yulan He. Boundary-Aware LLM Augmentation for Low-Resource Event Argument Extraction. The 19th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2026.
Sylvie Delacroix, Diana Robinson, Umang Bhatt, Jacopo Domenicucci, Jessica Montgomery, Gaël Varoquaux, Carl Henrik Ek, Vincent Fortuin, Yulan He, Tom Diethe, Neill Campbell, Mennatallah El-Assady, Søren Hauberg, Ivana Dusparic, Neil D Lawrence. Beyond quantification: Navigating uncertainty in professional AI systems. RSS: Data Science and Artificial Intelligence. Volume 1, Issue 1, January 2025, udaf002.
Hanqi Yan and Hainiu Xu and Siya Qi and Shu Yang and Yulan He. When Thinking Backfires: Mechanistic Insights Into Reasoning-Induced Misalignment. arXiv 2509.00544, 2025.
Z. Shen, H. Yan, L. Zhang, Z. Hu, Y. Du and Y. He. CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation. The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025.
R. Zhao, C. Cao, Q. Zhu, X. Lv, S. Shao, L. Gui, R. Xu and Y. He. Sparse Activation Editing for Reliable Instruction Following in Narratives. The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025.
W. Liu, S. Qi, X. Wang, C. Qian, Y. Du and Y. He. NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning. The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025.
J. Li, Y. Zhou, J. Lu, G. Tyen, L. Gui, C. Aloisi and Y. He. Two Heads Are Better Than One: Dual-Model Verbal Reflection at Inference-Time. The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025.
Y. Zhou, H. Xu, D.C. Ong, P. Slovak and Y. He. Modeling Subjectivity in Cognitive Appraisal with Language Models. Findings of EMNLP, 2025.
S. Liang, L. Zhang, H. Zhu, W. Wang, Y. He and D. Zhou. RGAR: Recurrence Generation-augmented Retrieval for Factual-aware Medical Question Answering. Findings of EMNLP, 2025.
Runcong Zhao, Artem Borov, Jiazheng Li, Yulan He. LearnLens: LLM-Enabled Personalised, Curriculum-Grounded Feedback with Educators in the Loop, The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025. [Demo]
Italo Luis da Silva, Hanqi Yan, Lin Gui, Yulan He. GraphMind: Interactive Novelty Assessment System for Accelerating Scientific Discovery, The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025. [Demo]
J. Li, A. Bobrov, D. West, C. Aloisi and Y. He. AERA Chat: An Interactive Platform for Automated Explainable Student Answer Assessment. The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025. [Demo]
Runcong Zhao, Qinglin Zhu, Hainiu Xu, Bin Liang, Yulan He, Lin Gui. SymbolicThought: Integrating Language Models and Symbolic Reasoning for Consistent and Interpretable Human Relationship Understanding, arXiv 2507.04189, 2025.
Y. Xiang, H. Yan, S. Ouyang, L. Gui and Y. He. SciReplicate-Bench: Benchmarking LLMs in Agent-driven Algorithmic Reproduction from Research Papers. Conference on Language Modeling (COLM) 2025.
J. Wang, L. Zhu, X. Yu, A. Bhalerao and Y. He. Improving Medical Visual Representation Learning with Pathological-level Cross-Modal Alignment and Correlation Exploration, arXiv 2506.10573, 2025.
J. Li, H. Yan and Y. He. Drift: Enhancing LLM Faithfulness in Rationale Generation via Dual-Reward Probabilistic Inference. The 63rd Annual Meeting of the Association for Computational Linguistics (ACL), 2025.
L. Zhang, J. Wu, D. Zhou and Y. He. PROPER: A Progressive Learning Framework for Personalized Large Language Models with Group-Level Adaptation. The 63rd Annual Meeting of the Association for Computational Linguistics (ACL), 2025.
Z. Hu, H. Yan, Q. Zhu, Z. Shen, Y. He and L. Gui. Beyond Prompting: An Efficient Embedding Framework for Open-Domain Question Answering. The 63rd Annual Meeting of the Association for Computational Linguistics (ACL), 2025.
J. Wu, W. Yin, Y. Jiang, Z. Wang, Z. Xi, R. Fang, L. Zhang, Y. He, D. Zhou, P. Xie and F. Huang. WebWalker: Benchmarking LLMs in Web Traversal. The 63rd Annual Meeting of the Association for Computational Linguistics (ACL), 2025.
J. Wu, Z. Wang, L. Zhang, Y. Lai, Y. He and D. Zhou. SCOPE: Optimizing Key-Value Cache Compression in Long-context Generation. The 63rd Annual Meeting of the Association for Computational Linguistics (ACL), 2025.
X. Wang, Y. Xiang, L. Gui and Y. He. PECAN: LLM-Guided Dynamic Progress Control with Attention-Guided Hierarchical Weighted Graph for Long Document QA. Findings of the ACL, 2025.
H. Xu, S. Qi, J. Li, Y. Zhou, J. Du, C. Catmur and Y. He. EnigmaToM: Improve LLMs' Theory-of-Mind Reasoning Capabilities with Neural Knowledge Base of Entity States. Findings of the ACL, 2025.
L. Zhang, Z. Gao, D. Zhou and Y. He. Explainable Depression Detection in Clinical Interviews with Personalized Retrieval-Augmented Generation. Findings of the ACL, 2025.
J. Lu, J. Li, G. Shen, L. Gui, S. An, Y. He, D. Yin and X. Sun. RoleMRC: A Fine-Grained Composite Benchmark for Role-Playing and Instruction-Following. Findings of the ACL, 2025.
S. Qi, R. Cao, Y. He and Z. Yuan. Evaluating LLMs' Assessment of Mixed-Context Hallucination Through the Lens of Summarization. Findings of the ACL, 2025.
C.D. Bonaventura, B. McGillivray, Y. He and A. Meroño-Peñuela. Hatevolution: What Static Benchmarks Don't Tell Us. Findings of the ACL, 2025.
J. Dougrez-Lewis, M. Elahi Akhter, F. Ruggeri, S. Löbbers, Y. He, and M. Liakata. Assessing the Reasoning Abilities of LLMs in the Context of Evidence-based Claim Verification, Findings of the ACL, 2025.
Y. Zhang, Y. He and D. Zhou. Rehearse With User: Personalized Opinion Summarization via Role-Playing based on Large Language Models. Findings of the ACL, 2025.
H. Zhang, L. Gui, Y. Lei, Y. Zhai, Y. Zhang, Y. He, H. Wang, Y. Yu, K.F. Wong, B. Liang, R. Xu. COPR: Continual Human Preference Learning via Optimal Policy Regularization, Findings of the ACL, 2025.
H. Yan, L. Zhang, J. Li, Z. Shen and Y. He. LLMs Need a Bayesian Meta-Reasoning Framework for More Robust and Generalizable Reasoning. The 42nd International Conference on Machine Learning (ICML) 2025.
Q. Zhu, R. Zhao, H. Yan, Y. He, Y. Chen and L. Gui. Navigating Solution Spaces in Large Language Models through Controlled Embedding Exploration. The 42nd International Conference on Machine Learning (ICML) 2025.
Q. Yin, C.T. Leong, H. Zhang, M. Zhu, H. Yan, Q. Zhang, Y. He, W. Li, J. Wang, Y. Zhang and L. Yang. Constrain Alignment with Sparse Autoencoder. The 42nd International Conference on Machine Learning (ICML) 2025.
H. Yan, X. Cui, L. Yin, P.P. Liang, Y. He and Y. Wang. The Multi-Faceted Monosemanticity in Multimodal Representations. arXiv:2502.14888, 2025.
A. Suzuki, Y. He, F. Tian and Z. Wang. Hallucinations are inevitable but statistically negligible. arXiv:2502.12187, 2025.
X. Tan, Y. Zhou, G. Pergola and Y. He. Cascading Large Language Models for Salient Event Graph Generation. 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL), 2025.
Z. Sun, J. Li, G. Pergola and Y. He. ExDDI: Explaining Drug-Drug Interaction Predictions with Natural Language. The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025.
J. Li, A. Bobrov, D. West, C. Aloisi and Y. He. An Automated Explainable Educational Assessment System Built on LLMs. The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025. [Demo]
C. Zhang, L. Zhang, J. Wu, Y. He and D. Zhou. Causal Prompting: Debiasing Large Language Model Prompting based on Front-Door Adjustment. The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025.
L. Zhu, J. Wang and Y. He. LLMLink: Dual LLMs for Dynamic Entity Linking on Long Narratives with Collaborative Memorisation and Prompt Optimisation. The 31st International Conference on Computational Linguistics (COLING), 2025.
J. Lu, S. An, M. Zhang, Y. He, D Yin, and X. Sun. FIPO: Free-form Instruction-oriented Prompt Optimization with Preference Dataset and Modular Fine-tuning Schema, The 31st International Conference on Computational Linguistics (COLING), 2025.
Y. Zhang, P. Li, Y. Lai, Y. He and D. Zhou. LASS: A Novel and Economical Data Augmentation Framework Based on Language Models for Debiasing Opinion Summarization. The 31st International Conference on Computational Linguistics (COLING), 2025.
J. Yu, Y. Zhou, Y. He, N.L. Zhang and R. Silva. Fine-Tuning Pre-trained Language Models for Robust Causal Representation Learning. arXiv:2410.14375, 2024.
H. Yan, Y. Xiang, G. Chen, Y. Wang, L. Gui and Y. He. Encourage or Inhibit Monosemanticity? Revisit Monosemanticity from a Feature Decorrelation Perspective. The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024.
I. Luis da Silva, H. Yan, L. Gui and Y. He. Weak Reward Model Transforms Generative Models into Robust Causal Event Extraction Systems. The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024.
J. Lu, J. Li, S. An, M. Zhao, Y. He, D. Yin and X. Sun. Eliminating Biased Length Reliance of Direct Preference Optimization via Down-Sampled KL Divergence. The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024.
Y. Zhou, J. Li, Y. Xiang, H. Yan, L. Gui, and Y. He. The Mystery of In-Context Learning: A Comprehensive Survey on Interpretation and Analysis. The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024.
J. Li, H. Xu, Z. Sun, Y. Zhou, D. West, C. Aloisi and Y. He. Calibrating LLMs with Preference Optimization on Thought Trees for Generating Rationales in Science Question Scoring. Findings of EMNLP 2024.
J. Wang, L. Zhu, A. Bhalerao and Y. He. Scene Graph Aided Radiology Report Generation. arXiv:2403.05687, 2024.
S. Qi, Y. He and Z. Yuan. Can We Catch the Elephant? A Survey of the Evolvement of Hallucination Evaluation on Natural Language Generation. arXiv:2404.12041, 2024.
Q. Zhu, R. Zhao, J. Du, L. Gui and Y. He. Questioning the Unknown: Optimising Multi-Agent Collaboration in Narrative-Driven Games. arXiv:2404.17662, 2024.
H. Yan, Q. Zhu, X. Wang, L. Gui, and Y. He. Mirror: A Multiple-perspective Self-Reflection Method for Knowledge-rich Reasoning.The 62nd Annual Meeting of the Association for Computational Linguistics (ACL), 2024.
H. Xu, R. Zhao, L. Zhu, J. Du, Y. He. OpenToM: A Comprehensive Benchmark for Evaluating Theory-of-Mind Reasoning Capabilities of Large Language Models. The 62nd Annual Meeting of the Association for Computational Linguistics (ACL), 2024. [Website] [Dataset]
A. Bobrov, D. Saltenis, Z. Sun, G. Pergola and Y. He. DrugWatch: A Comprehensive Multi-Source Data Visualisation Platform for Drug Safety Information. The 62nd Annual Meeting of the Association for Computational Linguistics (ACL), 2024. [Video]
X. Wang, H. Xu, L. Gui, and Y. He. Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap for Prompt-Based Large Language Models and Beyond. Findings of ACL, 2024.
Y. Xiang, H. Yan, L. Gui, and Y. He. Addressing Order Sensitivity of In-Context Demonstration Examples in Causal Language Models. Findings of ACL, 2024.
R. Zhao, Q. Zhu, H. Xu, J. Li, Y. Zhou, Y. He, and L. Gui. Large Language Models Fall Short: Understanding Complex Relationships in Detective Narratives. Findings of ACL, 2024.
X. Tan, Y. Zhou, G. Pergola and Y. He. Set-Aligning Framework for Auto-Regressive Event Temporal Graph Generation. 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2024
W. Zhang, L. Gui, R. Procter and Y. He. Multi-Layer Ranking with Large Language Models for News Source Recommendation. The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2024.
J. Dougrez-Lewis, E. Kochkina, M. Liakata and Y. He. Knowledge Graphs for Real-World Rumour Verification. The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), 2024.
Z. Fang, Y. He and R. Procter. CWTM: Leveraging Contextualized Word Embeddings from BERT for Neural Topic Modeling. The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), 2024.
Y. Zhang, Y. Lai, Z. Wang, P. Li, D. Zhou and Y. He. Opinions Are Not Always Positive: Debiasing Opinion Summarization With Model-Specific and Model-Agnostic Methods. The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), 2024.
Z. Sun, J. Li, G. Pergola, B.C. Wallace, and Y. He. Leveraging ChatGPT in Pharmacovigilance Event Extraction: An Empirical Study. The 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2024.
R. Zhao, W. Zhang, J. Li, L. Zhu, Y. Li, Y. He and L. Gui. NarrativePlay: Interactive Narrative Understanding. The 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL), Malta, Mar. 2024.
H. Zhang, Y. Lei, L. Gui, M. Yang, Y. He, H. Wang, R. Xu. CPPO: Continual Learning for Reinforcement Learning with Human Feedback. The 12th International Conference on Learning Representations (ICLR), 2024.
S.H. Barlow, S. Chicklore, Y. He, S. Ourselin, T. Wagner, A. Barnes, G.J. Cook. Uncertainty-aware automatic TNM staging classification for [18F] Fluorodeoxyglucose PET-CT reports for lung cancer utilising transformer-based language models and multi-task learning. BMC medical informatics and decision making. 18;24(1):396, 2024.
H. Yan, L. Gui, M. Wang, K. Zhang and Y. He. Explainable Recommender with Geometric Information Bottleneck, IEEE Transactions on Knowledge and Data Engineering, to appear.
J. Wang, A. Bhalerao, T. Yin, S. See, Y. He. CAMANet: Class Activation Map Guided Attention Network for Radiology Report Generation, IEEE Journal of Biomedical and Health Informatics, to appear.
R. Zhao, W. Zhang, J. Li, L. Zhu, Y. Li, Y. He and L. Gui. NarrativePlay: An Automated System for Crafting Visual Worlds in Novels for Role-Playing. The 38th Annual AAAI Conference on Artificial Intelligence (AAAI), 2024.
X. Wang, L. Gui and Y. He. A Scalable Framework for Table of Contents Extraction from Complex ESG Annual Reports, The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), Singapore, Dec. 2023.
Y. Zhu, J. Si, Y. Zhao, H. Zhu, D. Zhou, Y. He. EXPLAIN, EDIT, GENERATE: Rationale-Sensitive Counterfactual Data Augmentation for Multi-hop Fact Verification, The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), Singapore, Dec. 2023.
L. Zhu, R. Zhao, L. Gui and Y. He. Are NLP Models Good at Tracing Thoughts: An Overview of Narrative Understanding, Findings of EMNLP, 2023.
Y. Zhou and Y. He. Causal Inference from Text: Unveiling Interactions between Variables. Findings of EMNLP, 2023.
J. Li, L. Gui, Y. Zhou, D. West, C. Aloisi and Y. He. Exploring Explainable Automated Student Answer Assessment with ChatGPT, Findings of EMNLP, 2023.
H. Yan, L. Kong, L. Gui, Y. Chi, E. Xing, Y. He, K. Zhang. Counterfactual Generation with Identifiability Guarantees. The 37th Annual Conference on Neural Information Processing Systems (NeurIPS), New Orleans, US, 2023.
J. Wang, A. Bhalerao, L. Zhu, and Y. He. Can Prompt Learning Benefit Radiology Report Generation? arXiv:2308.16269, 2023.
J. Lu, S. An, M. Lin, G. Pergola, Y. He, D. Yin, X. Sun and Y. Wu. MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation. arXiv preprint arXiv:2308.08239, 2023.
J. Si, Y. Zhu, X. Shi, D. Zhou and Y. He. Explainable Topic-Enhanced Argument Mining from Heterogeneous Sources. arXiv preprint arXiv:2307.12131, 2023.
J. Li, R. ZHao, Y. He and L. Gui. OverPrompt: Enhancing ChatGPT Capabilities through an Efficient In-Context Learning Approach, arXiv preprint arXiv:2305.14973.
J. Lu, G. Pergola, L. Gui and Y. He. Event Knowledge Incorporation with Posterior Regularization for Event-Centric Question Answering, arXiv preprint arXiv:2305.04522.
J. Li, Z. Sun, B. Liang, L. Gui and Y. He. CUE: An Uncertainty Interpretation Framework for Text Classifiers Built on Pre-Trained Language Models. The 39th Conference on Uncertainty in Artificial Intelligence (UAI), Pittsburgh, PA, USA, Aug. 2023.
X. Wang, L. Gui and Y. He. Document-Level Multi-Event Extraction with Event Proxy Nodes and Hausdorff Distance Minimization. The 61st Annual Meeting of the Association for Computational Linguistics (ACL), Toronto, Canada, Jul. 2023.
L. Zhu, R. Zhao, G. Pergola and Y. He. Disentangling Aspect and Stance via a Siamese Autoencoder for Aspect Clustering of Vaccination Opinions. Findings of ACL, 2023.
R. Zhao, L. Gui and Y. He. CONE: Unsupervised Contrastive Opinion Extraction. The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), July 2023.
W. Zhang, L. Gui, R. Procter and Y. He. NewsQuote: A Dataset Built on Quote Extraction and Attribution for Expert Recommendation in Fact-Checking. The 17th International AAAI Conference on Web and Social Media: News Media and Computational Journalism Workshop, Jun. 2023.
R. Procter, M. Arana Catania, Y. He, M. Liakata, A. Zubiaga, E. Kochkina, R. Zhao, Some Observations on Fact-Checking Work with Implications for Computational Support. The 17th International AAAI Conference on Web and Social Media: News Media and Computational Journalism Workshop, Jun. 2023.
R. Zhao, M. Arana Catania, L. Zhu, E. Kochkina, L. Gui, A. Zubiaga, R. Procter, M. Liakata and Y. He. PANACEA: An Automated Misinformation Detection System on COVID-19, EACL system demonstration track , 2023.
X. Tan, G. Pergola and Y. He. Event Temporal Relation Extraction with Bayesian Translational Model. The 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL), May 2023.
Z. Fang, Y. He, R. Procter, L.A. Alqazlan and D. Liu. A User-Centered, Interactive, Human-in-the-Loop Topic Modelling System. The 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL), May 2023.
J. Lu, J. Li, B.C. Wallace, Y. He and G. Pergola. NapSS: Paragraph-level Medical Text Simplification via Narrative Prompting and Sentence-matching Summarization. Findings of EACL, 2023.
H. Li, H. Yan, Y. Li, L. Qian, Y. He and L. Gui. Distinguishability Calibration to In-Context Learning, Findings of EACL, 2023
R. Zhao, L. Gui, H. Yan and Y. He. Tracking Brand-Associated Polarity-Bearing Topics in User Reviews. Transactions of the Association for Computational Linguistics, Vol. 11, pp. 404-418, 2023.
E. Kochkina, T. Hossain, R.L. Logan, M. Arana-Catania, R. Procter, A. Zubiaga, S. Singh, Y. He and M. Liakata. Evaluating the Generalisability of Neural Rumour Verification Models, Information Processing & Management, Volume 60, Issue 1, 2023.
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, 32(1):1-32, 2023.
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, vol. 14, pp. 279-293, 2023.
B. Liang, X. Li, L. Gui, Y. Fu, Y. He, M. Yang, R. Xu. Few-Shot Aspect Category Sentiment Analysis via Meta-Learning. ACM Transactions on Information Systems, Volume 41, Issue 1, pp 1–31, 2023.
Z. Sun, J. Li, G. Pergola, B.C. Wallace, B. John, N. Greene, J. Kim and Y. He. PHEE: A Dataset for Pharmacovigilance Event Extraction from Text. The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), Dec. 2022.
J. Lu, X. Tan, G. Pergola, L. Gui and Y. He. Event-Centric Question Answering via Contrastive Learning and Invertible Event Transformation. Findings of EMNLP, 2022.
H. Yan, L. Gui and Y. He. Hierarchical Interpretation of Neural Text Classification, Computational Linguistics, 48 (4): 987–1020, 2022.
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. 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.
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, Findings of EMNLP, 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, Findings of ACL, 2021.
Z. Fang, Y. He and R. Procter. Query-Driven Topic Model, Findings of ACL, 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.
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.
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.
R. Wang, D. Zhou and Y. He. Open Event Extraction from Online Texts using a Generative Adversarial Network. 2019 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. 2019 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. 2019 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), Vol. 7, pp. 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–Emotion Transition Model for Multi-Level Social Emotion Detection, Knowledge-Based Systems, Vol. 164, pp. 426-435, 2019.
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.
D. Vilares and Y. He. Detecting Perspectives in Political Debates. 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 Extraction. 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 Attention, 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 Reviews, 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 CNN, 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 Embeddings, 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 Transformation. BMC Bioinformatics, 18:379, 2017.
D. Zhou, L. Chen, X. Zhang and Y. He. Unsupervised Event Exploration from Social Text Streams, Intelligent Data Analysis, 21(4):849-866, 2017.
T. Huynh, Y. He, A. Willis and S. Rueger. Adverse Drug Reaction Classification With Deep Neural Networks, 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 Modelling, 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 Structures, 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 Articles, 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 Knowledge, 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 Debates, 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 Text, 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 Approach, 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 Analysis, IEEE Computational Intelligence Magazine, 11(3):34-44, 2016.
Y. He. Extracting Topical Phrases from Clinical Documents. 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 Twitter. 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 Microblogs, 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 Recommendation, 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 Consultation, International Journal of Energy Sector Management, 10(1):87-98, 2016.
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 microblogs, 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 Recommendation, 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 Model, 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 Network. 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 Articles, 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 Communities, 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 Clustering, 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 Text, 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 Communities. 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 Recommendation, 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 Analysis, 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 Analysis, 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 Categorisation, The 29th AAAI Conference (AAAI), Austin, Texas, USA, Jan. 2015.