| 2026 | ACL | From Script to Stage: Automating Experimental Design for Social Simulations with LLMs. | Yuwei Guo, Zihan Zhao, Xiaowei Liu, Xiangning Yu, Qun Ma, Deyu Zhou, Xiao Xue |
| 2026 | ACL | When KV Cache Reuse Fails in Multi-Agent Systems: Cross-Candidate Interaction is Crucial for LLM Judges. | Sichu Liang, Zhenglin Wang, Jiajia Chu, Pengfei Xia, Hui Zang, Deyu Zhou |
| 2026 | ACL | Beyond Static Artifacts: An Evolutionary Framework for Synthetic Claim Generation. | Yeqing Teng, Jiasheng Si, Shuxia Lin, Linhai Zhang, Weiyu Zhang, Wenpeng Lu, Deyu Zhou, Xiaoming Wu |
| 2026 | ACL | Let the Comments Speak: A Multi-Agent Framework based on Large Language Model for Comment-Guided Code Refactoring. | Zixuan Wang, Wutong Yu, Deyu Zhou |
| 2026 | ACL | MA²P: A Meta-Cognitive Autonomous Intelligent Agents Framework for Complex Persuasion. | Dingyi Zhang, Ziqing Zhuang, Linhai Zhang, Ziyang Gao, Deyu Zhou |
| 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 | Benchmarking Temporal Reasoning and Alignment Across Chinese Dynasties. | Zhenglin Wang, Jialong Wu, Pengfei Li, Yong Jiang, Deyu Zhou |
| 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 | 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 | 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 | ACL | SynGraph: A Dynamic Graph-LLM Synthesis Framework for Sparse Streaming User Sentiment Modeling. | Xin Zhang, Qiyu Wei, Yingjie Zhu, Linhai Zhang, Deyu Zhou, Sophia Ananiadou |
| 2025 | COLING | AdaCQR: Enhancing Query Reformulation for Conversational Search via Sparse and Dense Retrieval Alignment. | Yilong Lai, Jialong Wu, Congzhi Zhang, Haowen Sun, Deyu Zhou |
| 2025 | COLING | SEED: Accelerating Reasoning Tree Construction via Scheduled Speculative Decoding. | Zhenglin Wang, Jialong Wu, Yilong Lai, Congzhi Zhang, Deyu Zhou |
| 2025 | COLING | Cross-Domain Fake News Detection based on Dual-Granularity Adversarial Training. | Wenjie Wei, Yanyue Zhang, Jinyan Li, Panfei Liu, Deyu Zhou |
| 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 | CVPR | Taming Teacher Forcing for Masked Autoregressive Video Generation. | Deyu Zhou, Quan Sun, Yuang Peng, Kun Yan, Runpei Dong, Duomin Wang, Zheng Ge, Nan Duan, Xiangyu Zhang |
| 2025 | EMNLP | AdaRewriter: Unleashing the Power of Prompting-based Conversational Query Reformulation via Test-Time Adaptation. | Yilong Lai, Jialong Wu, Zhenglin Wang, Deyu Zhou |
| 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 | Large Language Models Have Intrinsic Meta-Cognition, but Need a Good Lens. | Ziyang Ma, Qingyue Yuan, Zhenglin Wang, Deyu Zhou |
| 2025 | EMNLP | Plan Dynamically, Express Rhetorically: A Debate-Driven Rhetorical Framework for Argumentative Writing. | Xueguan Zhao, Wenpeng Lu, Chaoqun Zheng, Weiyu Zhang, Jiasheng Si, Deyu Zhou |
| 2025 | ICWS | A Framework for Analyzing Abnormal Emergence in Service Ecosystems Through LLM-Based Agent Intention Mining. | Yifan Shen, Zihan Zhao, Xiao Xue, Yuwei Guo, Qun Ma, Deyu Zhou, Ming Zhang |
| 2025 | ICWS | Scenario Generator Design Method for Service Ecosystem Governance Driven by LLM-Empowered Agents Simulation. | Deyu Zhou, Yuqi Hou, Xiao Xue, Xudong Lu, Qingzhong Li, Lizhen Cui |
| 2024 | AAAI | Causal Walk: Debiasing Multi-Hop Fact Verification with Front-Door Adjustment. | Congzhi Zhang, Linhai Zhang, Deyu Zhou |
| 2024 | ACL | DINER: Debiasing Aspect-based Sentiment Analysis with Multi-variable Causal Inference. | Jialong Wu, Linhai Zhang, Deyu Zhou, Guoqiang Xu |
| 2024 | ACL | CHECKWHY: Causal Fact Verification via Argument Structure. | Jiasheng Si, Yibo Zhao, Yingjie Zhu, Haiyang Zhu, Wenpeng Lu, Deyu Zhou |
| 2024 | ACL | STAR: Constraint LoRA with Dynamic Active Learning for Data-Efficient Fine-Tuning of Large Language Models. | Linhai Zhang, Jialong Wu, Deyu Zhou, Guoqiang Xu |
| 2024 | COLING | Reduce Redundancy Then Rerank: Enhancing Code Summarization with a Novel Pipeline Framework. | Xiaoyu Hu, Xu Zhang, Zexu Lin, Deyu Zhou |
| 2024 | COLING | TECA: A Two-stage Approach with Controllable Attention Soft Prompt for Few-shot Nested Named Entity Recognition. | Yuanyuan Xu, Linhai Zhang, Deyu Zhou |
| 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 | EMNLP | Denoising Rationalization for Multi-hop Fact Verification via Multi-granular Explainer. | Jiasheng Si, Yingjie Zhu, Wenpeng Lu, Deyu Zhou |
| 2024 | ICWS | Beyond Traditional Metrics: The Power of Value Entropy in Multidimensional Evaluation of the Service Ecosystem. | Xiangning Yu, Xiao Xue, Deyu Zhou, Li Fang, Zhiyong Feng |
| 2023 | AAAI | Exploring Faithful Rationale for Multi-Hop Fact Verification via Salience-Aware Graph Learning. | Jiasheng Si, Yingjie Zhu, Deyu Zhou |
| 2023 | ACL | Neural Topic Modeling based on Cycle Adversarial Training and Contrastive Learning. | Boyu Wang, Linhai Zhang, Deyu Zhou, Yi Cao, Jiandong Ding |
| 2023 | ACL | G³R: A Graph-Guided Generate-and-Rerank Framework for Complex and Cross-domain Text-to-SQL Generation. | Yanzheng Xiang, Qian-Wen Zhang, Xu Zhang, Zejie Liu, Yunbo Cao, Deyu Zhou |
| 2023 | ACL | Focusing, Bridging and Prompting for Few-shot Nested Named Entity Recognition. | Yuanyuan Xu, Zeng Yang, Linhai Zhang, Deyu Zhou, Tiandeng Wu, Rong Zhou |
| 2023 | ACL | Disentangling Text Representation With Counter-Template For Unsupervised Opinion Summarization. | Yanyue Zhang, Deyu Zhou |
| 2023 | ACL | Multi-Relational Probabilistic Event Representation Learning via Projected Gaussian Embedding. | Linhai Zhang, Congzhi Zhang, Deyu Zhou |
| 2023 | EMNLP | Sentiment Analysis on Streaming User Reviews via Dual-Channel Dynamic Graph Neural Network. | Xin Zhang, Linhai Zhang, Deyu Zhou |
| 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 | ICCV | Talking Head Generation with Probabilistic Audio-to-Visual Diffusion Priors. | Zhentao Yu, Zixin Yin, Deyu Zhou, Duomin Wang, Finn Wong, Baoyuan Wang |
| 2022 | ACL | A Novel Framework Based on Medical Concept Driven Attention for Explainable Medical Code Prediction via External Knowledge. | Tao Wang, Linhai Zhang, Chenchen Ye, Junxi Liu, Deyu Zhou |
| 2022 | ACL | Pre-training and Fine-tuning Neural Topic Model: A Simple yet Effective Approach to Incorporating External Knowledge. | Linhai Zhang, Xuemeng Hu, Boyu Wang, Deyu Zhou, Qian-Wen Zhang, Yunbo Cao |
| 2022 | COLING | SEE-Few: Seed, Expand and Entail for Few-shot Named Entity Recognition. | Zeng Yang, Linhai Zhang, Deyu Zhou |
| 2022 | COLING | Complicate Then Simplify: A Novel Way to Explore Pre-trained Models for Text Classification. | Xu Zhang, Zejie Liu, Yanzheng Xiang, Deyu Zhou |
| 2022 | COLING | Temporal Knowledge Graph Completion with Approximated Gaussian Process Embedding. | Linhai Zhang, Deyu Zhou |
| 2022 | EMNLP | Code Generation From Flowcharts with Texts: A Benchmark Dataset and An Approach. | Zejie Liu, Xiaoyu Hu, Deyu Zhou, Lin Li, Xu Zhang, Yanzheng Xiang |
| 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 | Topic-Aware Evidence Reasoning and Stance-Aware Aggregation for Fact Verification. | Jiasheng Si, Deyu Zhou, Tongzhe Li, Xingyu Shi, 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 | 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 | EMNLP | A Divide-And-Conquer Approach for Multi-label Multi-hop Relation Detection in Knowledge Base Question Answering. | Deyu Zhou, Yanzheng Xiang, Linhai Zhang, Chenchen Ye, Qian-Wen Zhang, Yunbo Cao |
| 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 | COLING | Emotion Classification by Jointly Learning to Lexiconize and Classify. | Deyu Zhou, Shuangzhi Wu, Qing Wang, Jun Xie, Zhaopeng Tu, Mu Li |
| 2020 | EMNLP | Neural Topic Modeling with Cycle-Consistent Adversarial Training. | Xuemeng Hu, Rui Wang, Deyu Zhou, Yuxuan Xiong |
| 2020 | EMNLP | Neural Topic Modeling by Incorporating Document Relationship Graph. | Deyu Zhou, Xuemeng Hu, Rui Wang |
| 2019 | ACML | Variational Conditional GAN for Fine-grained Controllable Image Generation. | Mingqi Hu, Deyu Zhou, 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 |
| 2019 | IJCAI | GraspSnooker: Automatic Chinese Commentary Generation for Snooker Videos. | Zhaoyue Sun, Jiaze Chen, Hao Zhou, Deyu Zhou, Lei Li, Mingmin Jiang |
| 2018 | EMNLP | An Interpretable Neural Network with Topical Information for Relevant Emotion Ranking. | Yang Yang, Deyu Zhou, 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 |
| 2016 | ACL | Jointly Event Extraction and Visualization on Twitter via Probabilistic Modelling. | Deyu Zhou, Tianmeng Gao, Yulan He |
| 2016 | EMNLP | Emotion Distribution Learning from Texts. | Deyu Zhou, Xuan Zhang, Yin Zhou, Quan Zhao, Xin Geng |
| 2016 | IJCAI | Sparsity Conditional Energy Label Distribution Learning for Age Estimation. | Xu Yang, Xin Geng, Deyu Zhou |
| 2016 | IJCAI | Unsupervised Storyline Extraction from News Articles. | Deyu Zhou, Haiyang Xu, Xin-Yu Dai, Yulan He |
| 2015 | AAAI | An Unsupervised Framework of Exploring Events on Twitter: Filtering, Extraction and Categorization. | Deyu Zhou, Liangyu Chen, Yulan He |
| 2015 | EMNLP | An Unsupervised Bayesian Modelling Approach for Storyline Detection on News Articles. | Deyu Zhou, Haiyang Xu, Yulan He |
| 2014 | ACL | A Simple Bayesian Modelling Approach to Event Extraction from Twitter. | Deyu Zhou, Liangyu Chen, Yulan He |
| 2011 | CIKM | A novel framework of training hidden markov support vector machines from lightly-annotated data. | Deyu Zhou, Yulan He |
| 2011 | ECIR | Learning Conditional Random Fields from Unaligned Data for Natural Language Understanding. | Deyu Zhou, Yulan He |
| 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 |