| 2026 | AAAI | Beyond Perplexity: Let the Reader Select Retrieval Summaries via Spectrum Projection Score. | Zhanghao Hu, Qinglin Zhu, Siya Qi, Yulan He, Hanqi Yan, Lin Gui |
| 2026 | ACL | Beyond Cross-Modal Alignment: Measuring and Leveraging Modality Gap in Vision-Language Models. | Hanqi Yan, Xiangxiang Cui, Lu Yin, Jindong Gu, Paul Pu Liang, Yulan He, Yifei Wang |
| 2026 | ACL | SymbolicThought: Integrating Language Models and Symbolic Reasoning for Consistent and Interpretable Human Relationship Understanding. | Runcong Zhao, Qinglin Zhu, Hainiu Xu, Bin Liang, Lin Gui, Yulan He |
| 2026 | ACL | Beyond Meta-Reasoning: Metacognitive Consolidation for Self-Improving LLM Reasoning. | Ziqing Zhuang, Linhai Zhang, Jiasheng Si, Deyu Zhou, Yulan He |
| 2026 | DASFAA | From Personal to Clinical: Personalisation and Depersonalisation for Explainable Depression Detection. | Ziyang Gao, Linhai Zhang, Yulan He, Deyu Zhou |
| 2026 | EACL | Boundary-Aware LLM Augmentation for Low-Resource Event Argument Extraction. | Zhaoyue Sun, Gabriele Pergola, Yulan He |
| 2025 | AAAI | An Automated Explainable Educational Assessment System Built on LLMs. | Jiazheng Li, Artem Bobrov, David West, Cesare Aloisi, Yulan He |
| 2025 | AAAI | ExDDI: Explaining Drug-Drug Interaction Predictions with Natural Language. | Zhaoyue Sun, Jiazheng Li, Gabriele Pergola, Yulan He |
| 2025 | AAAI | Causal Prompting: Debiasing Large Language Model Prompting Based on Front-Door Adjustment. | Congzhi Zhang, Linhai Zhang, Jialong Wu, Yulan He, Deyu Zhou |
| 2025 | ACL | Drift: Enhancing LLM Faithfulness in Rationale Generation via Dual-Reward Probabilistic Inference. | Jiazheng Li, Hanqi Yan, Yulan He |
| 2025 | ACL | SCOPE: Optimizing Key-Value Cache Compression in Long-context Generation. | Jialong Wu, Zhenglin Wang, Linhai Zhang, Yilong Lai, Yulan He, Deyu Zhou |
| 2025 | ACL | WebWalker: Benchmarking LLMs in Web Traversal. | Jialong Wu, Wenbiao Yin, Yong Jiang, Zhenglin Wang, Zekun Xi, Runnan Fang, Linhai Zhang, Yulan He, Deyu Zhou, Pengjun Xie, Fei Huang |
| 2025 | ACL | Hatevolution: What Static Benchmarks Don't Tell Us. | Chiara Di Bonaventura, Barbara McGillivray, Yulan He, Albert Meroo-Peuela |
| 2025 | ACL | Assessing the Reasoning Capabilities of LLMs in the context of Evidence-based Claim Verification. | John Dougrez-Lewis, Mahmud Elahi Akhter, Federico Ruggeri, Sebastian Lbbers, Yulan He, Maria Liakata |
| 2025 | ACL | Beyond Prompting: An Efficient Embedding Framework for Open-Domain Question Answering. | Zhanghao Hu, Hanqi Yan, Qinglin Zhu, Zhenyi Shen, Yulan He, Lin Gui |
| 2025 | ACL | RoleMRC: A Fine-Grained Composite Benchmark for Role-Playing and Instruction-Following. | Junru Lu, Jiazheng Li, Guodong Shen, Lin Gui, Siyu An, Yulan He, Di Yin, Xing Sun |
| 2025 | ACL | Evaluating LLMs' Assessment of Mixed-Context Hallucination Through the Lens of Summarization. | Siya Qi, Rui Cao, Yulan He, Zheng Yuan |
| 2025 | ACL | PECAN: LLM-Guided Dynamic Progress Control with Attention-Guided Hierarchical Weighted Graph for Long-Document QA. | Xinyu Wang, Yanzheng Xiang, Lin Gui, Yulan He |
| 2025 | ACL | EnigmaToM: Improve LLMs' Theory-of-Mind Reasoning Capabilities with Neural Knowledge Base of Entity States. | Hainiu Xu, Siya Qi, Jiazheng Li, Yuxiang Zhou, Jinhua Du, Caroline Catmur, Yulan He |
| 2025 | ACL | COPR: Continual Human Preference Learning via Optimal Policy Regularization. | Han Zhang, Lin Gui, Yu Lei, Yuanzhao Zhai, Yehong Zhang, Zhuo Zhang, Yulan He, Hui Wang, Yue Yu, Kam-Fai Wong, Bin Liang, Ruifeng Xu |
| 2025 | ACL | PROPER: A Progressive Learning Framework for Personalized Large Language Models with Group-Level Adaptation. | Linhai Zhang, Jialong Wu, Deyu Zhou, Yulan He |
| 2025 | ACL | Rehearse With User: Personalized Opinion Summarization via Role-Playing based on Large Language Models. | Yanyue Zhang, Yulan He, Deyu Zhou |
| 2025 | ACL | Explainable Depression Detection in Clinical Interviews with Personalized Retrieval-Augmented Generation. | Linhai Zhang, Ziyang Gao, Deyu Zhou, Yulan He |
| 2025 | COLING | FIPO: Free-form Instruction-oriented Prompt Optimization with Preference Dataset and Modular Fine-tuning Schema. | Junru Lu, Siyu An, Min Zhang, Yulan He, Di Yin, Xing Sun |
| 2025 | COLING | LASS: A Novel and Economical Data Augmentation Framework Based on Language Models for Debiasing Opinion Summarization. | Yanyue Zhang, Pengfei Li, Yilong Lai, Yulan He, Deyu Zhou |
| 2025 | COLING | LlmLink: Dual LLMs for Dynamic Entity Linking on Long Narratives with Collaborative Memorisation and Prompt Optimisation. | Lixing Zhu, Jun Wang, Yulan He |
| 2025 | EMNLP | AERA Chat: An Interactive Platform for Automated Explainable Student Answer Assessment. | Jiazheng Li, Artem Bobrov, Runcong Zhao, Cesare Aloisi, Yulan He |
| 2025 | EMNLP | RGAR: Recurrence Generation-augmented Retrieval for Factual-aware Medical Question Answering. | Sichu Liang, Linhai Zhang, Hongyu Zhu, Wenwen Wang, Yulan He, Deyu Zhou |
| 2025 | EMNLP | NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning. | Wei Liu, Siya Qi, Xinyu Wang, Chen Qian, Yali Du, Yulan He |
| 2025 | EMNLP | Two Heads Are Better Than One: Dual-Model Verbal Reflection at Inference-Time. | Jiazheng Li, Yuxiang Zhou, Junru Lu, Gladys Tyen, Lin Gui, Cesare Aloisi, Yulan He |
| 2025 | EMNLP | CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation. | Zhenyi Shen, Hanqi Yan, Linhai Zhang, Zhanghao Hu, Yali Du, Yulan He |
| 2025 | EMNLP | GraphMind: Interactive Novelty Assessment System for Accelerating Scientific Discovery. | Italo Luis da Silva, Hanqi Yan, Lin Gui, Yulan He |
| 2025 | EMNLP | LearnLens: LLM-Enabled Personalised, Curriculum-Grounded Feedback with Educators in the Loop. | Runcong Zhao, Artem Bobrov, Jiazheng Li, Cesare Aloisi, Yulan He |
| 2025 | EMNLP | Sparse Activation Editing for Reliable Instruction Following in Narratives. | Runcong Zhao, Chengyu Cao, Qinglin Zhu, Xiucheng Lyu, Shun Shao, Lin Gui, Ruifeng Xu, Yulan He |
| 2025 | EMNLP | Modeling Subjectivity in Cognitive Appraisal with Language Models. | Yuxiang Zhou, Hainiu Xu, Desmond C. Ong, Maria Liakata, Petr Slovk, Yulan He |
| 2025 | ICML | Position: LLMs Need a Bayesian Meta-Reasoning Framework for More Robust and Generalizable Reasoning. | Hanqi Yan, Linhai Zhang, Jiazheng Li, Zhenyi Shen, Yulan He |
| 2025 | ICML | Constrain Alignment with Sparse Autoencoders. | Qingyu Yin, Chak Tou Leong, Hongbo Zhang, Minjun Zhu, Hanqi Yan, Qiang Zhang, Yulan He, Wenjie Li, Jun Wang, Yue Zhang, Linyi Yang |
| 2025 | ICML | Soft Reasoning: Navigating Solution Spaces in Large Language Models through Controlled Embedding Exploration. | Qinglin Zhu, Runcong Zhao, Hanqi Yan, Yulan He, Yudong Chen, Lin Gui |
| 2025 | NAACL | Cascading Large Language Models for Salient Event Graph Generation. | Xingwei Tan, Yuxiang Zhou, Gabriele Pergola, Yulan He |
| 2024 | AAAI | NarrativePlay: An Automated System for Crafting Visual Worlds in Novels for Role-Playing. | Runcong Zhao, Wenjia Zhang, Jiazheng Li, Lixing Zhu, Yanran Li, Yulan He, Lin Gui |
| 2024 | ACL | DrugWatch: A Comprehensive Multi-Source Data Visualisation Platform for Drug Safety Information. | Artem Bobrov, Domantas Saltenis, Zhaoyue Sun, Gabriele Pergola, Yulan He |
| 2024 | ACL | Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap for Prompt-Based Large Language Models and Beyond. | Xinyu Wang, Hainiu Xu, Lin Gui, Yulan He |
| 2024 | ACL | Addressing Order Sensitivity of In-Context Demonstration Examples in Causal Language Models. | Yanzheng Xiang, Hanqi Yan, Lin Gui, Yulan He |
| 2024 | ACL | OpenToM: A Comprehensive Benchmark for Evaluating Theory-of-Mind Reasoning Capabilities of Large Language Models. | Hainiu Xu, Runcong Zhao, Lixing Zhu, Jinhua Du, Yulan He |
| 2024 | ACL | Mirror: Multiple-perspective Self-Reflection Method for Knowledge-rich Reasoning. | Hanqi Yan, Qinglin Zhu, Xinyu Wang, Lin Gui, Yulan He |
| 2024 | ACL | Large Language Models Fall Short: Understanding Complex Relationships in Detective Narratives. | Runcong Zhao, Qinglin Zhu, Hainiu Xu, Jiazheng Li, Yuxiang Zhou, Yulan He, Lin Gui |
| 2024 | COLING | CWTM: Leveraging Contextualized Word Embeddings from BERT for Neural Topic Modeling. | Zheng Fang, Yulan He, Rob Procter |
| 2024 | COLING | Knowledge Graphs for Real-World Rumour Verification. | John Dougrez-Lewis, Elena Kochkina, Maria Liakata, Yulan He |
| 2024 | COLING | Opinions Are Not Always Positive: Debiasing Opinion Summarization with Model-Specific and Model-Agnostic Methods. | Yanyue Zhang, Yilong Lai, Zhenglin Wang, Pengfei Li, Deyu Zhou, Yulan He |
| 2024 | EACL | Leveraging ChatGPT in Pharmacovigilance Event Extraction: An Empirical Study. | Zhaoyue Sun, Gabriele Pergola, Byron C. Wallace, Yulan He |
| 2024 | EACL | NarrativePlay: Interactive Narrative Understanding. | Runcong Zhao, Wenjia Zhang, Jiazheng Li, Lixing Zhu, Yanran Li, Yulan He, Lin Gui |
| 2024 | EMNLP | Calibrating LLMs with Preference Optimization on Thought Trees for Generating Rationale in Science Question Scoring. | Jiazheng Li, Hainiu Xu, Zhaoyue Sun, Yuxiang Zhou, David West, Cesare Aloisi, Yulan He |
| 2024 | EMNLP | Eliminating Biased Length Reliance of Direct Preference Optimization via Down-Sampled KL Divergence. | Junru Lu, Jiazheng Li, Siyu An, Meng Zhao, Yulan He, Di Yin, Xing Sun |
| 2024 | EMNLP | Weak Reward Model Transforms Generative Models into Robust Causal Event Extraction Systems. | Italo Luis da Silva, Hanqi Yan, Lin Gui, Yulan He |
| 2024 | EMNLP | Encourage or Inhibit Monosemanticity? Revisit Monosemanticity from a Feature Decorrelation Perspective. | Hanqi Yan, Yanzheng Xiang, Guangyi Chen, Yifei Wang, Lin Gui, Yulan He |
| 2024 | EMNLP | The Mystery of In-Context Learning: A Comprehensive Survey on Interpretation and Analysis. | Yuxiang Zhou, Jiazheng Li, Yanzheng Xiang, Hanqi Yan, Lin Gui, Yulan He |
| 2024 | ICLR | CPPO: Continual Learning for Reinforcement Learning with Human Feedback. | Han Zhang, Yu Lei, Lin Gui, Min Yang, Yulan He, Hui Wang, Ruifeng Xu |
| 2024 | NAACL | Set-Aligning Framework for Auto-Regressive Event Temporal Graph Generation. | Xingwei Tan, Yuxiang Zhou, Gabriele Pergola, Yulan He |
| 2024 | SIGIR | Multi-Layer Ranking with Large Language Models for News Source Recommendation. | Wenjia Zhang, Lin Gui, Rob Procter, Yulan He |
| 2023 | ACL | Document-Level Multi-Event Extraction with Event Proxy Nodes and Hausdorff Distance Minimization. | Xinyu Wang, Lin Gui, Yulan He |
| 2023 | ACL | Disentangling Aspect and Stance via a Siamese Autoencoder for Aspect Clustering of Vaccination Opinions. | Lixing Zhu, Runcong Zhao, Gabriele Pergola, Yulan He |
| 2023 | CIKM | Interpretable Natural Language Understanding. | Yulan He |
| 2023 | EACL | A User-Centered, Interactive, Human-in-the-Loop Topic Modelling System. | Zheng Fang, Lama Alqazlan, Du Liu, Yulan He, Rob Procter |
| 2023 | EACL | Distinguishability Calibration to In-Context Learning. | Hongjing Li, Hanqi Yan, Yanran Li, Li Qian, Yulan He, Lin Gui |
| 2023 | EACL | NapSS: Paragraph-level Medical Text Simplification via Narrative Prompting and Sentence-matching Summarization. | Junru Lu, Jiazheng Li, Byron C. Wallace, Yulan He, Gabriele Pergola |
| 2023 | EACL | Event Temporal Relation Extraction with Bayesian Translational Model. | Xingwei Tan, Gabriele Pergola, Yulan He |
| 2023 | EACL | PANACEA: An Automated Misinformation Detection System on COVID-19. | Runcong Zhao, Miguel Arana-Catania, Lixing Zhu, Elena Kochkina, Lin Gui, Arkaitz Zubiaga, Rob Procter, Maria Liakata, Yulan He |
| 2023 | EMNLP | Distilling ChatGPT for Explainable Automated Student Answer Assessment. | Jiazheng Li, Lin Gui, Yuxiang Zhou, David West, Cesare Aloisi, Yulan He |
| 2023 | EMNLP | A Scalable Framework for Table of Contents Extraction from Complex ESG Annual Reports. | Xinyu Wang, Lin Gui, Yulan He |
| 2023 | EMNLP | Causal Inference from Text: Unveiling Interactions between Variables. | Yuxiang Zhou, Yulan He |
| 2023 | EMNLP | EXPLAIN, EDIT, GENERATE: Rationale-Sensitive Counterfactual Data Augmentation for Multi-hop Fact Verification. | Yingjie Zhu, Jiasheng Si, Yibo Zhao, Haiyang Zhu, Deyu Zhou, Yulan He |
| 2023 | EMNLP | Are NLP Models Good at Tracing Thoughts: An Overview of Narrative Understanding. | Lixing Zhu, Runcong Zhao, Lin Gui, Yulan He |
| 2023 | SIGIR | Uncertainty Quantification for Text Classification. | Dell Zhang, Murat Sensoy, Masoud Makrehchi, Bilyana Taneva-Popova, Lin Gui, Yulan He |
| 2023 | SIGIR | Cone: Unsupervised Contrastive Opinion Extraction. | Runcong Zhao, Lin Gui, Yulan He |
| 2023 | UAI | CUE: An Uncertainty Interpretation Framework for Text Classifiers Built on Pre-Trained Language Models. | Jiazheng Li, Zhaoyue Sun, Bin Liang, Lin Gui, Yulan He |
| 2022 | ACL | Multi-Modal Sarcasm Detection via Cross-Modal Graph Convolutional Network. | Bin Liang, Chenwei Lou, Xiang Li, Min Yang, Lin Gui, Yulan He, Wenjie Pei, Ruifeng Xu |
| 2022 | ACL | JointCL: A Joint Contrastive Learning Framework for Zero-Shot Stance Detection. | Bin Liang, Qinglin Zhu, Xiang Li, Min Yang, Lin Gui, Yulan He, Ruifeng Xu |
| 2022 | ECCV | Cross-Modal Prototype Driven Network for Radiology Report Generation. | Jun Wang, Abhir Bhalerao, Yulan He |
| 2022 | EMNLP | Event-Centric Question Answering via Contrastive Learning and Invertible Event Transformation. | Junru Lu, Xingwei Tan, Gabriele Pergola, Lin Gui, Yulan He |
| 2022 | EMNLP | PHEE: A Dataset for Pharmacovigilance Event Extraction from Text. | Zhaoyue Sun, Jiazheng Li, Gabriele Pergola, Byron C. Wallace, Bino John, Nigel Greene, Joseph Kim, Yulan He |
| 2022 | NAACL | RSTGen: Imbuing Fine-Grained Interpretable Control into Long-FormText Generators. | Rilwan Adewoyin, Ritabrata Dutta, Yulan He |
| 2022 | NAACL | Natural Language Inference with Self-Attention for Veracity Assessment of Pandemic Claims. | Miguel Arana-Catania, Elena Kochkina, Arkaitz Zubiaga, Maria Liakata, Robert Procter, Yulan He |
| 2022 | NAACL | Disentangled Learning of Stance and Aspect Topics for Vaccine Attitude Detection in Social Media. | Lixing Zhu, Zheng Fang, Gabriele Pergola, Robert Procter, Yulan He |
| 2022 | WWW | Zero-Shot Stance Detection via Contrastive Learning. | Bin Liang, Zixiao Chen, Lin Gui, Yulan He, Min Yang, Ruifeng Xu |
| 2022 | UAI | Addressing token uniformity in transformers via singular value transformation. | Hanqi Yan, Lin Gui, Wenjie Li, Yulan He |
| 2021 | AAAI | MERL: Multimodal Event Representation Learning in Heterogeneous Embedding Spaces. | Linhai Zhang, Deyu Zhou, Yulan He, Zeng Yang |
| 2021 | AAAI | A Neural Group-wise Sentiment Analysis Model with Data Sparsity Awareness. | Deyu Zhou, Meng Zhang, Linhai Zhang, Yulan He |
| 2021 | ACL | Learning Disentangled Latent Topics for Twitter Rumour Veracity Classification. | John Dougrez-Lewis, Maria Liakata, Elena Kochkina, Yulan He |
| 2021 | ACL | A Query-Driven Topic Model. | Zheng Fang, Yulan He, Rob Procter |
| 2021 | ACL | Topic-Aware Evidence Reasoning and Stance-Aware Aggregation for Fact Verification. | Jiasheng Si, Deyu Zhou, Tongzhe Li, Xingyu Shi, Yulan He |
| 2021 | ACL | Position Bias Mitigation: A Knowledge-Aware Graph Model for Emotion Cause Extraction. | Hanqi Yan, Lin Gui, Gabriele Pergola, Yulan He |
| 2021 | ACL | Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection. | Lixing Zhu, Gabriele Pergola, Lin Gui, Deyu Zhou, Yulan He |
| 2021 | CIKM | Supervised Contrastive Learning for Multimodal Unreliable News Detection in COVID-19 Pandemic. | Wenjia Zhang, Lin Gui, Yulan He |
| 2021 | EACL | Boosting Low-Resource Biomedical QA via Entity-Aware Masking Strategies. | Gabriele Pergola, Elena Kochkina, Lin Gui, Maria Liakata, Yulan He |
| 2021 | EACL | Adversarial Learning of Poisson Factorisation Model for Gauging Brand Sentiment in User Reviews. | Runcong Zhao, Lin Gui, Gabriele Pergola, Yulan He |
| 2021 | EMNLP | Extracting Event Temporal Relations via Hyperbolic Geometry. | Xingwei Tan, Gabriele Pergola, Yulan He |
| 2021 | EMNLP | Beyond Text: Incorporating Metadata and Label Structure for Multi-Label Document Classification using Heterogeneous Graphs. | Chenchen Ye, Linhai Zhang, Yulan He, Deyu Zhou, Jie Wu |
| 2021 | EMNLP | A Multi-label Multi-hop Relation Detection Model based on Relation-aware Sequence Generation. | Linhai Zhang, Deyu Zhou, Chao Lin, Yulan He |
| 2021 | EMNLP | Implicit Sentiment Analysis with Event-centered Text Representation. | Deyu Zhou, Jianan Wang, Linhai Zhang, Yulan He |
| 2021 | NAACL | A Disentangled Adversarial Neural Topic Model for Separating Opinions from Plots in User Reviews. | Gabriele Pergola, Lin Gui, Yulan He |
| 2021 | WWW | Target-adaptive Graph for Cross-target Stance Detection. | Bin Liang, Yonghao Fu, Lin Gui, Min Yang, Jiachen Du, Yulan He, Ruifeng Xu |
| 2021 | SIGIR | Affective Dependency Graph for Sarcasm Detection. | Chenwei Lou, Bin Liang, Lin Gui, Yulan He, Yixue Dang, Ruifeng Xu |
| 2020 | ACL | Neural Topic Modeling with Bidirectional Adversarial Training. | Rui Wang, Xuemeng Hu, Deyu Zhou, Yulan He, Yuxuan Xiong, Chenchen Ye, Haiyang Xu |
| 2020 | ACL | Neural Temporal Opinion Modelling for Opinion Prediction on Twitter. | Lixing Zhu, Yulan He, Deyu Zhou |
| 2020 | CIKM | Aspect-invariant Sentiment Features Learning: Adversarial Multi-task Learning for Aspect-based Sentiment Analysis. | Bin Liang, Rongdi Yin, Lin Gui, Jiachen Du, Yulan He, Ruifeng Xu |
| 2020 | COLING | CHIME: Cross-passage Hierarchical Memory Network for Generative Review Question Answering. | Junru Lu, Gabriele Pergola, Lin Gui, Binyang Li, Yulan He |
| 2020 | COLING | BullStop: A Mobile App for Cyberbullying Prevention. | Semiu Salawu, Yulan He, Jo Lumsden |
| 2020 | ECIR | Variational Recurrent Sequence-to-Sequence Retrieval for Stepwise Illustration. | Vishwash Batra, Aparajita Haldar, Yulan He, Hakan Ferhatosmanoglu, George Vogiatzis, Tanaya Guha |
| 2020 | WWW | What Changed Your Mind: The Roles of Dynamic Topics and Discourse in Argumentation Process. | Jichuan Zeng, Jing Li, Yulan He, Cuiyun Gao, Michael R. Lyu, Irwin King |
| 2019 | ACML | Variational Conditional GAN for Fine-grained Controllable Image Generation. | Mingqi Hu, Deyu Zhou, Yulan He |
| 2019 | EMNLP | Neural Topic Model with Reinforcement Learning. | Lin Gui, Jia Leng, Gabriele Pergola, Yu Zhou, Ruifeng Xu, Yulan He |
| 2019 | EMNLP | Open Event Extraction from Online Text using a Generative Adversarial Network. | Rui Wang, Deyu Zhou, Yulan He |
| 2019 | EMNLP | Interpretable Relevant Emotion Ranking with Event-Driven Attention. | Yang Yang, Deyu Zhou, Yulan He, Meng Zhang |
| 2018 | AAAI | Topical Phrase Extraction from Clinical Reports by Incorporating both Local and Global Context. | Gabriele Pergola, Yulan He, David Lowe |
| 2018 | EMNLP | Variational Autoregressive Decoder for Neural Response Generation. | Jiachen Du, Wenjie Li, Yulan He, Ruifeng Xu, Lidong Bing, Xuan Wang |
| 2018 | EMNLP | An Interpretable Neural Network with Topical Information for Relevant Emotion Ranking. | Yang Yang, Deyu Zhou, Yulan He |
| 2018 | LREC | Neural Caption Generation for News Images. | Vishwash Batra, Yulan He, George Vogiatzis |
| 2018 | LREC | Content-Based Conflict of Interest Detection on Wikipedia. | Orizu Udochukwu, Yulan He |
| 2018 | NAACL | Neural Storyline Extraction Model for Storyline Generation from News Articles. | Deyu Zhou, Linsen Guo, Yulan He |
| 2018 | NAACL | Relevant Emotion Ranking from Text Constrained with Emotion Relationships. | Deyu Zhou, Yang Yang, Yulan He |
| 2017 | EACL | Event extraction from Twitter using Non-Parametric Bayesian Mixture Model with Word Embeddings. | Deyu Zhou, Xuan Zhang, Yulan He |
| 2017 | EMNLP | A Question Answering Approach for Emotion Cause Extraction. | Lin Gui, Jiannan Hu, Yulan He, Ruifeng Xu, Qin Lu, Jiachen Du |
| 2017 | EMNLP | Detecting Perspectives in Political Debates. | David Vilares, Yulan He |
| 2017 | IJCAI | Stance Classification with Target-specific Neural Attention. | Jiachen Du, Ruifeng Xu, Yulan He, Lin Gui |
| 2016 | AAAI | Extracting Topical Phrases from Clinical Documents. | Yulan He |
| 2016 | ACL | Topic Extraction from Microblog Posts Using Conversation Structures. | Jing Li, Ming Liao, Wei Gao, Yulan He, Kam-Fai Wong |
| 2016 | ACL | Jointly Event Extraction and Visualization on Twitter via Probabilistic Modelling. | Deyu Zhou, Tianmeng Gao, Yulan He |
| 2016 | COLING | Adverse Drug Reaction Classification With Deep Neural Networks. | Trung Huynh, Yulan He, Alistair Willis, Stefan M. Rger |
| 2016 | DAS | Handwritten and Machine-Printed Text Discrimination Using a Template Matching Approach. | Mehryar Emambakhsh, Yulan He, Ian T. Nabney |
| 2016 | IJCAI | Intersubjectivity and Sentiment: From Language to Knowledge. | Lin Gui, Ruifeng Xu, Yulan He, Qin Lu, Zhongyu Wei |
| 2016 | IJCAI | Unsupervised Storyline Extraction from News Articles. | Deyu Zhou, Haiyang Xu, Xin-Yu Dai, Yulan He |
| 2016 | LREC | Detecting Expressions of Blame or Praise in Text. | Orizu Udochukwu, Yulan He |
| 2016 | NAACL | A Study of the Impact of Persuasive Argumentation in Political Debates. | Amparo Elizabeth Cano Basave, Yulan He |
| 2015 | AAAI | An Unsupervised Framework of Exploring Events on Twitter: Filtering, Extraction and Categorization. | Deyu Zhou, Liangyu Chen, Yulan He |
| 2015 | ACL | Improving Distributed Representation of Word Sense via WordNet Gloss Composition and Context Clustering. | Tao Chen, Ruifeng Xu, Yulan He, Xuan Wang |
| 2015 | ECIR | Learning Higher-Level Features with Convolutional Restricted Boltzmann Machines for Sentiment Analysis. | Trung Huynh, Yulan He, Stefan M. Rger |
| 2015 | EMNLP | An Unsupervised Bayesian Modelling Approach for Storyline Detection on News Articles. | Deyu Zhou, Haiyang Xu, Yulan He |
| 2015 | ICONIP | Learning Task Specific Distributed Paragraph Representations Using a 2-Tier Convolutional Neural Network. | Tao Chen, Ruifeng Xu, Yulan He, Xuan Wang |
| 2015 | ICWSM | Leveraging Product Adopter Information from Online Reviews for Product Recommendation. | Jinpeng Wang, Wayne Xin Zhao, Yulan He, Xiaoming Li |
| 2015 | NLDB | A Rule-Based Approach to Implicit Emotion Detection in Text. | Orizu Udochukwu, Yulan He |
| 2015 | WWW | Modelling Question Selection Behaviour in Online Communities. | Grgoire Burel, Paul Mulholland, Yulan He, Harith Alani |
| 2014 | ACL | Automatic Labelling of Topic Models Learned from Twitter by Summarisation. | Amparo Elizabeth Cano Basave, Yulan He, Ruifeng Xu |
| 2014 | ACL | Real-Time Detection, Tracking, and Monitoring of Automatically Discovered Events in Social Media. | Miles Osborne, Sean Moran, Richard McCreadie, Alexander von Lnen, Martin D. Sykora, Amparo Elizabeth Cano, Neil Ireson, Craig Macdonald, Iadh Ounis, Yulan He, Tom Jackson, Fabio Ciravegna, Ann O'Brien |
| 2014 | ACL | A Simple Bayesian Modelling Approach to Event Extraction from Twitter. | Deyu Zhou, Liangyu Chen, Yulan He |
| 2014 | KDD | We know what you want to buy: a demographic-based system for product recommendation on microblogs. | Wayne Xin Zhao, Yanwei Guo, Yulan He, Han Jiang, Yuexin Wu, Xiaoming Li |
| 2014 | LREC | On Stopwords, Filtering and Data Sparsity for Sentiment Analysis of Twitter. | Hassan Saif, Miriam Fernndez, Yulan He, Harith Alani |
| 2014 | WWW | Quantising contribution effort in online communities. | Grgoire Burel, Yulan He |
| 2013 | ACL | An Empirical Study on Uncertainty Identification in Social Media Context. | Zhongyu Wei, Junwen Chen, Wei Gao, Binyang Li, Lanjun Zhou, Yulan He, Kam-Fai Wong |
| 2013 | CIKM | Originator or propagator?: incorporating social role theory into topic models for twitter content analysis. | Wayne Xin Zhao, Jinpeng Wang, Yulan He, Jian-Yun Nie, Xiaoming Li |
| 2013 | IJCNLP | A Weakly Supervised Bayesian Model for Violence Detection in Social Media. | Amparo Elizabeth Cano Basave, Yulan He, Kang Liu, Jun Zhao |
| 2013 | LAK | An evaluation of learning analytics to identify exploratory dialogue in online discussions. | Rebecca Ferguson, Zhongyu Wei, Yulan He, Simon Buckingham Shum |
| 2013 | SIGIR | Timeline generation with social attention. | Wayne Xin Zhao, Yanwei Guo, Rui Yan, Yulan He, Xiaoming Li |
| 2012 | ICWSM | Tracking Sentiment and Topic Dynamics from Social Media. | Yulan He, Chenghua Lin, Wei Gao, Kam-Fai Wong |
| 2012 | LREC | Quantising Opinions for Political Tweets Analysis. | Yulan He, Hassan Saif, Zhongyu Wei, Kam-Fai Wong |
| 2011 | ACL | Automatically Extracting Polarity-Bearing Topics for Cross-Domain Sentiment Classification. | Yulan He, Chenghua Lin, Harith Alani |
| 2011 | CIKM | A novel framework of training hidden markov support vector machines from lightly-annotated data. | Deyu Zhou, Yulan He |
| 2011 | ECIR | Latent Sentiment Model for Weakly-Supervised Cross-Lingual Sentiment Classification. | Yulan He |
| 2011 | ECIR | Learning Conditional Random Fields from Unaligned Data for Natural Language Understanding. | Deyu Zhou, Yulan He |
| 2011 | IJCNLP | Sentence Subjectivity Detection with Weakly-Supervised Learning. | Chenghua Lin, Yulan He, Richard M. Everson |
| 2010 | CIKM | Learning sentiment classification model from labeled features. | Yulan He |
| 2010 | CoNLL | A Comparative Study of Bayesian Models for Unsupervised Sentiment Detection. | Chenghua Lin, Yulan He, Richard M. Everson |
| 2010 | ECIR | Recent Developments in Information Retrieval. | Cathal Gurrin, Yulan He, Gabriella Kazai, Udo Kruschwitz, Suzanne Little, Thomas Roelleke, Stefan M. Rger, Keith van Rijsbergen |
| 2010 | NLDB | Goal Detection from Natural Language Queries. | Yulan He |
| 2009 | CIKM | Joint sentiment/topic model for sentiment analysis. | Chenghua Lin, Yulan He |
| 2009 | NLDB | Protein-Protein Interactions Classification from Text via Local Learning with Class Priors. | Yulan He, Chenghua Lin |
| 2008 | COLING | A Hybrid Generative/Discriminative Framework to Train a Semantic Parser from an Un-annotated Corpus. | Deyu Zhou, Yulan He |
| 2008 | ICDM | Ontology-Based Protein-Protein Interactions Extraction from Literature Using the Hidden Vector State Model. | Yulan He, Keiichi Nakata, Deyu Zhou |
| 2007 | CIDM | Semi-supervised Learning of the Hidden Vector State Model for Protein-Protein Interactions Extraction. | Deyu Zhou, Yulan He, Chee Keong Kwoh |
| 2007 | ICCS | Training the Hidden Vector State Model from Un-annotated Corpus. | Deyu Zhou, Yulan He, Chee Keong Kwoh |
| 2006 | ICCS | Extracting Protein-Protein Interactions from the Literature Using the Hidden Vector State Model. | Deyu Zhou, Yulan He, Chee Keong Kwoh |
| 2005 | AAIM | Automatic Timetabling Using Artificial Immune System. | Yulan He, Siu Cheung Hui, Edmund Ming-Kit Lai |
| 2003 | ICASSP | Hidden vector state model for hierarchical semantic parsing. | Yulan He, Steve J. Young |