Packet-switched optical networks. - Ben Y. Yu; Paul Tollver; Robert J. Runser; Kung-Li Deng; Deyu Zhou; Ivan Glesk; Paul R. Prucnal (IEEE Micro, 1998)

Extracting Protein-Protein Interactions from the Literature Using the Hidden Vector State Model. - Deyu Zhou; Yulan He 001; Chee Keong Kwoh 001 (International Conference on Computational Science (2), 2006)

Semi-supervised Learning of the Hidden Vector State Model for Protein-Protein Interactions Extraction. - Deyu Zhou; Yulan He 001; Chee Keong Kwoh 001 (CIDM, 2007)

Training the Hidden Vector State Model from Un-annotated Corpus. - Deyu Zhou; Yulan He 001; Chee Keong Kwoh 001 (International Conference on Computational Science (2), 2007)

Ant-MST: An Ant-Based Minimum Spanning Tree for Gene Expression Data Clustering. - Deyu Zhou; Yulan He 001; Chee Keong Kwoh 001; Hao Wang (PRIB, 2007)

Semi-supervised learning of the hidden vector state model for extracting protein-protein interactions. - Deyu Zhou; Yulan He 001; Chee Keong Kwoh 001 (Artif. Intell. Medicine, 2007)

Extracting Protein-Protein Interaction based on Discriminative Training of the Hidden Vector State Model. - Deyu Zhou; Yulan He 001 (BioNLP, 2008)

A Hybrid Generative/Discriminative Framework to Train a Semantic Parser from an Un-annotated Corpus. - Deyu Zhou; Yulan He 001 (COLING, 2008)

Ontology-Based Protein-Protein Interactions Extraction from Literature Using the Hidden Vector State Model. - Yulan He 001; Keiichi Nakata; Deyu Zhou (ICDM Workshops, 2008)

Extracting Protein-Protein Interactions from MEDLINE using the Hidden Vector State model. - Deyu Zhou; Yulan He 001; Chee Keong Kwoh 001 (Int. J. Bioinform. Res. Appl., 2008)

Extracting interactions between proteins from the literature. - Deyu Zhou; Yulan He 001 (J. Biomed. Informatics, 2008)

From Biomedical Literature to Knowledge: Mining Protein-Protein Interactions. - Deyu Zhou; Yulan He 001; Chee Keong Kwoh 001 (Computational Intelligence in Biomedicine and Bioinformatics, 2008)

Discriminative Training of the Hidden Vector State Model for Semantic Parsing. - Deyu Zhou; Yulan He 001 (IEEE Trans. Knowl. Data Eng., 2009)

Exploring English Lexicon Knowledge for Chinese Sentiment Analysis. - Yulan He 001; Harith Alani; Deyu Zhou (CIPS-SIGHAN, 2010)

A novel framework of training hidden markov support vector machines from lightly-annotated data. - Deyu Zhou; Yulan He 001 (CIKM, 2011)

Learning Conditional Random Fields from Unaligned Data for Natural Language Understanding. - Deyu Zhou; Yulan He 001 (ECIR, 2011)

Semantic Parsing for Biomedical Event Extraction. - Deyu Zhou; Yulan He 001 (IWCS, 2011)

Biomedical events extraction using the hidden vector state model. - Deyu Zhou; Yulan He 001 (Artif. Intell. Medicine, 2011)

Self-training from labeled features for sentiment analysis. - Yulan He 001; Deyu Zhou (Inf. Process. Manag., 2011)

Analyzing ChIP-seq Data based on Multiple Knowledge Sources for Histone Modification. - Dafeng Chen; Deyu Zhou; Yuliang Zhuang (J. Softw., 2012)

A Simple Bayesian Modelling Approach to Event Extraction from Twitter. - Deyu Zhou; Liangyu Chen; Yulan He 001 (ACL (2), 2014)

Event trigger identification for biomedical events extraction using domain knowledge. - Deyu Zhou; Dayou Zhong; Yulan He 001 (Bioinform., 2014)

Biomedical Relation Extraction: From Binary to Complex. - Deyu Zhou; Dayou Zhong; Yulan He 001 (Comput. Math. Methods Medicine, 2014)

An Unsupervised Framework of Exploring Events on Twitter: Filtering, Extraction and Categorization. - Deyu Zhou; Liangyu Chen; Yulan He 001 (AAAI, 2015)

An Unsupervised Bayesian Modelling Approach for Storyline Detection on News Articles. - Deyu Zhou; Haiyang Xu 001; Yulan He 001 (EMNLP, 2015)

A semi-supervised learning framework for biomedical event extraction based on hidden topics. - Deyu Zhou; Dayou Zhong (Artif. Intell. Medicine, 2015)

Jointly Event Extraction and Visualization on Twitter via Probabilistic Modelling. - Deyu Zhou; Tianmeng Gao; Yulan He 001 (ACL (1), 2016)

Emotion Distribution Learning from Texts. - Deyu Zhou; Xuan Zhang; Yin Zhou; Quan Zhao; Xin Geng (EMNLP, 2016)

Sparsity Conditional Energy Label Distribution Learning for Age Estimation. - Xu Yang 021; Xin Geng 001; Deyu Zhou (IJCAI, 2016)

Unsupervised Storyline Extraction from News Articles. - Deyu Zhou; Haiyang Xu 001; Xin-Yu Dai; Yulan He 001 (IJCAI, 2016)

Event extraction from Twitter using Non-Parametric Bayesian Mixture Model with Word Embeddings. - Deyu Zhou; Xuan Zhang; Yulan He 001 (EACL (1), 2017)

Unsupervised event exploration from social text streams. - Deyu Zhou; Liangyu Chen; Xuan Zhang; Yulan He 001 (Intell. Data Anal., 2017)

An Interpretable Neural Network with Topical Information for Relevant Emotion Ranking. - Yang Yang; Deyu Zhou; Yulan He 001 (EMNLP, 2018)

Neural Storyline Extraction Model for Storyline Generation from News Articles. - Deyu Zhou; Linsen Guo; Yulan He 001 (NAACL-HLT, 2018)

Relevant Emotion Ranking from Text Constrained with Emotion Relationships. - Deyu Zhou; Yang Yang; Yulan He 001 (NAACL-HLT, 2018)

Position-aware deep multi-task learning for drug-drug interaction extraction. - Deyu Zhou; Lei Miao; Yulan He 001 (Artif. Intell. Medicine, 2018)

Weakly Supervised POS Tagging without Disambiguation. - Deyu Zhou; Zhikai Zhang; Min-Ling Zhang; Yulan He 001 (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2018)

Variational Conditional GAN for Fine-grained Controllable Image Generation. - Mingqi Hu; Deyu Zhou; Yulan He 001 (ACML, 2019)

Open Event Extraction from Online Text using a Generative Adversarial Network. - Rui Wang 043; Deyu Zhou; Yulan He 001 (EMNLP/IJCNLP (1), 2019)

Interpretable Relevant Emotion Ranking with Event-Driven Attention. - Yang Yang; Deyu Zhou; Yulan He 001; Meng Zhang (EMNLP/IJCNLP (1), 2019)

GraspSnooker: Automatic Chinese Commentary Generation for Snooker Videos. - Zhaoyue Sun; Jiaze Chen; Hao Zhou 012; Deyu Zhou; Lei Li 005; Mingmin Jiang (IJCAI, 2019)

A Survey on Opinion Mining: From Stance to Product Aspect. - Rui Wang 043; Deyu Zhou; Mingmin Jiang; Jiasheng Si; Yang Yang (IEEE Access, 2019)

Hierarchical viewpoint discovery from tweets using Bayesian modelling. - Lixing Zhu; Yulan He 001; Deyu Zhou (Expert Syst. Appl., 2019)

ATM: Adversarial-neural Topic Model. - Rui Wang 043; Deyu Zhou; Yulan He 001 (Inf. Process. Manag., 2019)

Hidden topic-emotion transition model for multi-level social emotion detection. - Donglei Tang; Zhikai Zhang; Yulan He 001; Chao Lin; Deyu Zhou (Knowl. Based Syst., 2019)

Neural Topic Modeling with Bidirectional Adversarial Training. - Rui Wang 043; Xuemeng Hu; Deyu Zhou; Yulan He 001; Yuxuan Xiong; Chenchen Ye 002; Haiyang Xu 001 (ACL, 2020)

Neural Temporal Opinion Modelling for Opinion Prediction on Twitter. - Lixing Zhu; Yulan He 001; Deyu Zhou (ACL, 2020)

Emotion Classification by Jointly Learning to Lexiconize and Classify. - Deyu Zhou; Shuangzhi Wu; Qing Wang; Jun Xie; Zhaopeng Tu; Mu Li 001 (COLING, 2020)

Neural Topic Modeling with Cycle-Consistent Adversarial Training. - Xuemeng Hu; Rui Wang 043; Deyu Zhou; Yuxuan Xiong (EMNLP (1), 2020)

Neural Topic Modeling by Incorporating Document Relationship Graph. - Deyu Zhou; Xuemeng Hu; Rui Wang 043 (EMNLP (1), 2020)

Value driven Analysis Framework of Service Ecosystem Evolution Mechanism. - Xiao Xue 001; Deyu Zhou; Yaodan Guo; Zhiyong Feng 002; Lejun Zhang; Lin Meng (CoRR, 2020)

Storyline extraction from news articles with dynamic dependency. - Linsen Guo; Deyu Zhou; Yulan He 001; Haiyang Xu 001 (Intell. Data Anal., 2020)

Optimising topic coherence with Weighted Po'lya Urn scheme. - Rui Wang 043; Deyu Zhou; Yulan He 001 (Neurocomputing, 2020)

Neural opinion dynamics model for the prediction of user-level stance dynamics. - Lixing Zhu; Yulan He 001; Deyu Zhou (Inf. Process. Manag., 2020)

A Neural Generative Model for Joint Learning Topics and Topic-Specific Word Embeddings. - Lixing Zhu; Deyu Zhou; Yulan He 001 (Trans. Assoc. Comput. Linguistics, 2020)

LSTM-Based End-to-End Framework for Biomedical Event Extraction. - Xinyi Yu; Wenge Rong; Jingshuang Liu; Deyu Zhou; Yuanxin Ouyang; Zhang Xiong 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

MERL: Multimodal Event Representation Learning in Heterogeneous Embedding Spaces. - Linhai Zhang; Deyu Zhou; Yulan He 001; Zeng Yang (AAAI, 2021)

A Neural Group-wise Sentiment Analysis Model with Data Sparsity Awareness. - Deyu Zhou; Meng Zhang; Linhai Zhang; Yulan He 001 (AAAI, 2021)

Topic-Aware Evidence Reasoning and Stance-Aware Aggregation for Fact Verification. - Jiasheng Si; Deyu Zhou; Tongzhe Li; Xingyu Shi; Yulan He 001 (ACL/IJCNLP (1), 2021)

Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection. - Lixing Zhu; Gabriele Pergola; Lin Gui 003; Deyu Zhou; Yulan He 001 (ACL/IJCNLP (1), 2021)

Beyond Text: Incorporating Metadata and Label Structure for Multi-Label Document Classification using Heterogeneous Graphs. - Chenchen Ye 002; Linhai Zhang; Yulan He 001; Deyu Zhou; Jie Wu (EMNLP (1), 2021)

A Multi-label Multi-hop Relation Detection Model based on Relation-aware Sequence Generation. - Linhai Zhang; Deyu Zhou; Chao Lin; Yulan He 001 (EMNLP (Findings), 2021)

Implicit Sentiment Analysis with Event-centered Text Representation. - Deyu Zhou; Jianan Wang; Linhai Zhang; Yulan He 001 (EMNLP (1), 2021)

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 002; Qian-Wen Zhang; Yunbo Cao (EMNLP (Findings), 2021)

Health issue identification in social media based on multi-task hierarchical neural networks with topic attention. - Deyu Zhou; Jiale Yuan; Jiasheng Si (Artif. Intell. Medicine, 2021)

A Bayesian end-to-end model with estimated uncertainties for simple question answering over knowledge bases. - Linhai Zhang; Chao Lin; Deyu Zhou; Yulan He 001; Meng Zhang (Comput. Speech Lang., 2021)

Hierarchical state recurrent neural network for social emotion ranking. - Deyu Zhou; Meng Zhang; Yang Yang; Yulan He 001 (Comput. Speech Lang., 2021)

Unsupervised latent event representation learning and storyline extraction from news articles based on neural networks. - Jiasheng Si; Linsen Guo; Deyu Zhou (Intell. Data Anal., 2021)

Image generation from text with entity information fusion. - Deyu Zhou; Kai Sun; Mingqi Hu; Yulan He 001 (Knowl. Based Syst., 2021)

A Novel Framework Based on Medical Concept Driven Attention for Explainable Medical Code Prediction via External Knowledge. - Tao Wang 188; Linhai Zhang; Chenchen Ye 002; Junxi Liu; Deyu Zhou (ACL (Findings), 2022)

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 (ACL (1), 2022)

SEE-Few: Seed, Expand and Entail for Few-shot Named Entity Recognition. - Zeng Yang; Linhai Zhang; Deyu Zhou (COLING, 2022)

Complicate Then Simplify: A Novel Way to Explore Pre-trained Models for Text Classification. - Xu Zhang; Zejie Liu; Yanzheng Xiang; Deyu Zhou (COLING, 2022)

Temporal Knowledge Graph Completion with Approximated Gaussian Process Embedding. - Linhai Zhang; Deyu Zhou (COLING, 2022)

Code Generation From Flowcharts with Texts: A Benchmark Dataset and An Approach. - Zejie Liu; Xiaoyu Hu; Deyu Zhou; Lin Li; Xu Zhang; Yanzheng Xiang (EMNLP (Findings), 2022)

Computational Experiments: Past, Present and Future. - Xiao Xue 001; Xiangning Yu 001; Deyu Zhou; Xiao Wang 002; Zhang-Bin Zhou; Fei-Yue Wang 001 (CoRR, 2022)

Research Roadmap of Service Ecosystems: A Crowd Intelligence Perspective. - Xiao Xue 001; Guanding Li; Deyu Zhou; Yepeng Zhang; Lu Zhang; Yang Zhao; Zhiyong Feng 002; Lizhen Cui; Zhangbing Zhou; Xiao Sun 012; Xudong Lu; Shizhan Chen (Int. J. Crowd Sci., 2022)

Named Entity Aware Transfer Learning for Biomedical Factoid Question Answering. - Keqin Peng; Chuantao Yin; Wenge Rong; Chenghua Lin; Deyu Zhou; Zhang Xiong 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Computational Experiments for Complex Social Systems - Part I: The Customization of Computational Model. - Xiao Xue 001; Fangyi Chen; Deyu Zhou; Xiao Wang 002; Min Lu; Fei-Yue Wang 001 (IEEE Trans. Comput. Soc. Syst., 2022)

SLE2: The Improved Social Learning Evolution Model of Cloud Manufacturing Service Ecosystem. - Deyu Zhou; Xiao Xue 001; Zhangbing Zhou (IEEE Trans. Ind. Informatics, 2022)

Exploring Faithful Rationale for Multi-Hop Fact Verification via Salience-Aware Graph Learning. - Jiasheng Si; Yingjie Zhu; Deyu Zhou (AAAI, 2023)

Neural Topic Modeling based on Cycle Adversarial Training and Contrastive Learning. - Boyu Wang; Linhai Zhang; Deyu Zhou; Yi Cao; Jiandong Ding (ACL (Findings), 2023)

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 (ACL (Findings), 2023)

Focusing, Bridging and Prompting for Few-shot Nested Named Entity Recognition. - Yuanyuan Xu; Zeng Yang; Linhai Zhang; Deyu Zhou; Tiandeng Wu; Rong Zhou (ACL (Findings), 2023)

Disentangling Text Representation With Counter-Template For Unsupervised Opinion Summarization. - Yanyue Zhang; Deyu Zhou (ACL (Findings), 2023)

Multi-Relational Probabilistic Event Representation Learning via Projected Gaussian Embedding. - Linhai Zhang; Congzhi Zhang; Deyu Zhou (ACL (Findings), 2023)

Sentiment Analysis on Streaming User Reviews via Dual-Channel Dynamic Graph Neural Network. - Xin Zhang 108; Linhai Zhang; Deyu Zhou (EMNLP, 2023)

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 001 (EMNLP, 2023)

Talking Head Generation with Probabilistic Audio-to-Visual Diffusion Priors. - Zhentao Yu; Zixin Yin; Deyu Zhou; Duomin Wang; Finn Wong; Baoyuan Wang (ICCV, 2023)

Consistent Multi-Granular Rationale Extraction for Explainable Multi-hop Fact Verification. - Jiasheng Si; Yingjie Zhu; Deyu Zhou (CoRR, 2023)

Feature Representation Learning for NL2SQL Generation Based on Coupling and Decoupling. - Chenduo Hao; Xu Zhang; Chuanbao Gao; Deyu Zhou (CoRR, 2023)

Explainable Topic-Enhanced Argument Mining from Heterogeneous Sources. - Jiasheng Si; Yingjie Zhu; Xingyu Shi; Deyu Zhou; Yulan He 001 (CoRR, 2023)

Biomedical Argument Mining Based on Sequential Multi-Task Learning. - Jiasheng Si; Liu Sun; Deyu Zhou; Jie Ren; Lin Li (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

From SOA to VOA: A Shift in Understanding the Operation and Evolution of Service Ecosystem. - Xiao Xue 001; Deyu Zhou; Fangyi Chen; Xiangning Yu 001; Zhiyong Feng 002; Yucong Duan; Lin Meng; Mu Zhang 013 (IEEE Trans. Serv. Comput., 2023)

Causal Walk: Debiasing Multi-Hop Fact Verification with Front-Door Adjustment. - Congzhi Zhang; Linhai Zhang; Deyu Zhou (AAAI, 2024)

DINER: Debiasing Aspect-based Sentiment Analysis with Multi-variable Causal Inference. - Jialong Wu 007; Linhai Zhang; Deyu Zhou; Guoqiang Xu (ACL (Findings), 2024)

CHECKWHY: Causal Fact Verification via Argument Structure. - Jiasheng Si; Yibo Zhao; Yingjie Zhu; Haiyang Zhu; Wenpeng Lu; Deyu Zhou (ACL (1), 2024)

STAR: Constraint LoRA with Dynamic Active Learning for Data-Efficient Fine-Tuning of Large Language Models. - Linhai Zhang; Jialong Wu 007; Deyu Zhou; Guoqiang Xu (ACL (Findings), 2024)

Reduce Redundancy Then Rerank: Enhancing Code Summarization with a Novel Pipeline Framework. - Xiaoyu Hu; Xu Zhang; Zexu Lin; Deyu Zhou (LREC/COLING, 2024)

TECA: A Two-stage Approach with Controllable Attention Soft Prompt for Few-shot Nested Named Entity Recognition. - Yuanyuan Xu; Linhai Zhang; Deyu Zhou (LREC/COLING, 2024)

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 001 (LREC/COLING, 2024)

Denoising Rationalization for Multi-hop Fact Verification via Multi-granular Explainer. - Jiasheng Si; Yingjie Zhu; Wenpeng Lu; Deyu Zhou (EMNLP (Findings), 2024)

Beyond Traditional Metrics: The Power of Value Entropy in Multidimensional Evaluation of the Service Ecosystem. - Xiangning Yu 001; Xiao Xue 001; Deyu Zhou; Li Fang; Zhiyong Feng 002 (ICWS, 2024)

Computational Experiments Meet Large Language Model Based Agents: A Survey and Perspective. - Qun Ma; Xiao Xue 001; Deyu Zhou; Xiangning Yu 001; Donghua Liu; Xuwen Zhang; Zihan Zhao; Yifan Shen; Peilin Ji; Juanjuan Li; Gang Wang 008; Wanpeng Ma (CoRR, 2024)

Causal Prompting: Debiasing Large Language Model Prompting based on Front-Door Adjustment. - Congzhi Zhang; Linhai Zhang; Deyu Zhou; Guoqiang Xu (CoRR, 2024)

Fine-grainedly Synthesize Streaming Data Based On Large Language Models With Graph Structure Understanding For Data Sparsity. - Xin Zhang; Linhai Zhang; Deyu Zhou; Guoqiang Xu (CoRR, 2024)

Large, Small or Both: A Novel Data Augmentation Framework Based on Language Models for Debiasing Opinion Summarization. - Yanyue Zhang; Pengfei Li; Yilong Lai; Deyu Zhou; Yulan He 001 (CoRR, 2024)

HFD: Hierarchical feature decoupling for SQL generation from text. - Xu Zhang; Xiaoyu Hu; Zejie Liu; Yanzheng Xiang; Deyu Zhou (Intell. Data Anal., 2024)

I2R: Intra and inter-modal representation learning for code search. - Xu Zhang; Yanzheng Xiang; Zejie Liu; Xiaoyu Hu; Deyu Zhou (Intell. Data Anal., 2024)

Optimization of Service Utility in 5G Heterogeneous Networks Using Dynamic Game. - Linhao Zhang; Xudong Lu; Lizhen Cui; Deyu Zhou; Wei Guo 017 (Int. J. Crowd Sci., 2024)

Variational Gaussian topic model with invertible neural projections. - Rui Wang 043; Deyu Zhou; Yuxuan Xiong; Haiping Huang (Neural Comput. Appl., 2024)

Computational Experiments: A New Analysis Method for Cyber-Physical-Social Systems. - Xiao Xue 001; Yifan Shen; Xiangning Yu 001; Deyu Zhou; Xiao Wang 002; Gang Wang 008; Fei-Yue Wang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

M2A: A model-agnostic and metadata-free adversarial framework for unsupervised opinion summarization. - Yanyue Zhang; Deyu Zhou; Zhenglin Wang; Yilong Lai (Comput. Speech Lang., 2024)

Computational Experiments for Complex Social Systems: Experiment Design and Generative Explanation. - Xiao Xue 001; Deyu Zhou; Xiangning Yu 001; Gang Wang 008; Juanjuan Li; Xia Xie; Lizhen Cui; Fei-Yue Wang 001 (IEEE CAA J. Autom. Sinica, 2024)

Computational Experiments for Complex Social Systems - Part III: The Docking of Domain Models. - Xiao Xue 001; Xiangning Yu 001; Deyu Zhou; Chao Peng; Xiao Wang 002; Donghua Liu; Fei-Yue Wang 001 (IEEE Trans. Comput. Soc. Syst., 2024)

Computational Experiments for Complex Social Systems: Integrated Design of Experiment System. - Xiao Xue 001; Xiangning Yu 001; Deyu Zhou; Xiao Wang 002; Chongke Bi; Shufang Wang; Fei-Yue Wang 001 (IEEE CAA J. Autom. Sinica, 2024)

CORES: COde REpresentation Summarization for Code Search. - Xu Zhang 053; Xiaoyu Hu; Deyu Zhou (IEEE Trans. Consumer Electron., 2024)

Causal Prompting: Debiasing Large Language Model Prompting Based on Front-Door Adjustment. - Congzhi Zhang; Linhai Zhang; Jialong Wu 007; Yulan He 001; Deyu Zhou (AAAI, 2025)

SCOPE: Optimizing Key-Value Cache Compression in Long-context Generation. - Jialong Wu 007; Zhenglin Wang; Linhai Zhang; Yilong Lai; Yulan He 001; Deyu Zhou (ACL (1), 2025)

WebWalker: Benchmarking LLMs in Web Traversal. - Jialong Wu 007; Wenbiao Yin; Yong Jiang 001; Zhenglin Wang; Zekun Xi; Runnan Fang; Linhai Zhang; Yulan He 001; Deyu Zhou; Pengjun Xie; Fei Huang 002 (ACL (1), 2025)

PROPER: A Progressive Learning Framework for Personalized Large Language Models with Group-Level Adaptation. - Linhai Zhang; Jialong Wu 007; Deyu Zhou; Yulan He 001 (ACL (1), 2025)

Rehearse With User: Personalized Opinion Summarization via Role-Playing based on Large Language Models. - Yanyue Zhang; Yulan He 001; Deyu Zhou (ACL (Findings), 2025)

Explainable Depression Detection in Clinical Interviews with Personalized Retrieval-Augmented Generation. - Linhai Zhang; Ziyang Gao; Deyu Zhou; Yulan He 001 (ACL (Findings), 2025)

SynGraph: A Dynamic Graph-LLM Synthesis Framework for Sparse Streaming User Sentiment Modeling. - Xin Zhang 108; Qiyu Wei; Yingjie Zhu; Linhai Zhang; Deyu Zhou; Sophia Ananiadou (ACL (Findings), 2025)

AdaCQR: Enhancing Query Reformulation for Conversational Search via Sparse and Dense Retrieval Alignment. - Yilong Lai; Jialong Wu 007; Congzhi Zhang; Haowen Sun; Deyu Zhou (COLING, 2025)

SEED: Accelerating Reasoning Tree Construction via Scheduled Speculative Decoding. - Zhenglin Wang; Jialong Wu 007; Yilong Lai; Congzhi Zhang; Deyu Zhou (COLING, 2025)

Cross-Domain Fake News Detection based on Dual-Granularity Adversarial Training. - Wenjie Wei; Yanyue Zhang; Jinyan Li; Panfei Liu; Deyu Zhou (COLING, 2025)

LASS: A Novel and Economical Data Augmentation Framework Based on Language Models for Debiasing Opinion Summarization. - Yanyue Zhang; Pengfei Li; Yilong Lai; Yulan He 001; Deyu Zhou (COLING, 2025)

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 005 (CVPR, 2025)

DimSum: Disentangling representation with automatically generated multi-category summary templates for fine-grained opinion summarization. - Yanyue Zhang; Yilong Lai; Zhenglin Wang; Deyu Zhou (Expert Syst. Appl., 2025)

Scene generalization for biomedical fact verification via hierarchical mixture of experts. - Jiasheng Si; Haiyang Zhu; Yibo Zhao; Weiyu Zhang 001; Tianyi Wang 006; Wenpeng Lu; Deyu Zhou (Inf. Sci., 2025)

Relevant emotion ranking with topic-enhanced emotion transition. - Linhai Zhang; Xin Zhang 108; Deyu Zhou (Knowl. Based Syst., 2025)

Unlocking Complexity: Harnessing Value Entropy for Advanced Multidimensional Utility Evaluation in Service Ecosystems. - Xiangning Yu 001; Xiao Xue 001; Deyu Zhou; Gang Wang 008; Zhiyong Feng 002 (IEEE Trans. Serv. Comput., 2025)

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 005; Lionel M. Ni; Heung-Yeung Shum (CoRR, 2025)

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model. - Guoqing Ma; Haoyang Huang; Kun Yan; Liangyu Chen 002; Nan Duan; Shengming Yin; Changyi Wan; Ranchen Ming; Xiaoniu Song; Xing Chen; Yu Zhou 010; Deshan Sun; et al. (CoRR, 2025)

RGAR: Recurrence Generation-augmented Retrieval for Factual-aware Medical Question Answering. - Sichu Liang; Linhai Zhang; Hongyu Zhu; Wenwen Wang; Yulan He 001; Deyu Zhou (CoRR, 2025)

Benchmarking Temporal Reasoning and Alignment Across Chinese Dynasties. - Zhenglin Wang; Jialong Wu 007; Pengfei Li; Yong Jiang 001; Deyu Zhou (CoRR, 2025)

Persuasion Should be Double-Blind: A Multi-Domain Dialogue Dataset With Faithfulness Based on Causal Theory of Mind. - Dingyi Zhang; Deyu Zhou (CoRR, 2025)

MIT: Mutual Information Topic Model for Diverse Topic Extraction. - Rui Wang 043; Deyu Zhou; Haiping Huang; Yongquan Zhou (IEEE Trans. Neural Networks Learn. Syst., 2025)

SECON: Maintaining Semantic Consistency in Data Augmentation for Code Search. - Xu Zhang 053; Zexu Lin; Xiaoyu Hu; Jianlei Wang; Wenpeng Lu; Deyu Zhou (ACM Trans. Inf. Syst., 2025)

AdaRewriter: Unleashing the Power of Prompting-based Conversational Query Reformulation via Test-Time Adaptation. - Yilong Lai; Jialong Wu 007; Zhenglin Wang; Deyu Zhou (CoRR, 2025)

Large Language Models Have Intrinsic Meta-Cognition, but Need a Good Lens. - Ziyang Ma; Qingyue Yuan; Zhenglin Wang; Deyu Zhou (CoRR, 2025)

SpeakerVid-5M: A Large-Scale High-Quality Dataset for Audio-Visual Dyadic Interactive Human Generation. - Youliang Zhang; Zhaoyang Li; Duomin Wang; Jiahe Zhang; Deyu Zhou; Zixin Yin; Xili Dai; Gang Yu; Xiu Li (CoRR, 2025)

A Framework for Analyzing Abnormal Emergence in Service Ecosystems Through LLM-based Agent Intention Mining. - Yifan Shen; Zihan Zhao; Xiao Xue 001; Yuwei Guo 007; Qun Ma; Deyu Zhou; Ming Zhang (CoRR, 2025)

Federated Experiments: Generative Causal Inference Powered by LLM-Based Agents Simulation and RAG-Based Domain Docking. - Deyu Zhou; Xiao Xue 001; Qun Ma; Chao Guo 006; Li-Zhen Cui; Yonglin Tian; Jing Yang 044; Fei-Yue Wang 001 (IEEE CAA J. Autom. Sinica, 2025)

A Survey on Agentic Service Ecosystems: Measurement, Analysis, and Optimization. - Xuwen Zhang; Xiao Xue 001; Xia Xie; Qun Ma; Xiangning Yu 001; Deyu Zhou; Yifan Wang; Ming Zhang (CoRR, 2025)

Training-Free Text-Guided Color Editing with Multi-Modal Diffusion Transformer. - Zixin Yin; Xili Dai; Ling-Hao Chen; Deyu Zhou; Jianan Wang; Duomin Wang; Gang Yu; Lionel M. Ni; Lei Zhang 001; Heung-Yeung Shum (CoRR, 2025)

Slow Tuning and Low-Entropy Masking for Safe Chain-of-Thought Distillation. - Ziyang Ma; Qingyue Yuan; Linhai Zhang; Deyu Zhou (CoRR, 2025)

NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale. - Chunrui Han; Guopeng Li; Jingwei Wu; Quan Sun; Yan Cai 015; Yuang Peng; Zheng Ge; Deyu Zhou; Haomiao Tang; Hongyu Zhou; Kenkun Liu; Ailin Huang; et al. (CoRR, 2025)

A two-level reinforcement learning based regulation strategy for dynamic operation of O2O service ecosystems. - Gang Wang; Xiaowei Liu; Yifan Shen; Deyu Zhou; Ming Zhang; Xiao Xue (Expert Syst. Appl., 2026)

Hierarchical Mixture-of-Experts model for unified code search. - Zexu Lin; Xu Zhang 053; Xiaoyu Hu; Pengfei Li; Deyu Zhou; Darong Lai (Inf. Fusion, 2026)