Deyu Zhou - RankMe

169 papers A* 21A 2B 9C 2Misc 2Journal 89Unranked 43

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Benchmarking Temporal Reasoning and Alignment Across Chinese Dynasties. EACL (Volume 2: Short Papers) Zhenglin Wang, Jialong Wu, Pengfei Li, Yong Jiang, Deyu Zhou
2026	J	`jnl`	Can Vision Replace Text in Working Memory? Evidence from Spatial n-Back in Vision-Language Models. CoRR Sichu Liang, Hongyu Zhu, Wenwen Wang, Deyu Zhou
2026	J	`jnl`	Hierarchical Mixture-of-Experts model for unified code search. Inf. Fusion Zexu Lin, Xu Zhang, Xiaoyu Hu, Pengfei Li, Deyu Zhou, Darong Lai
2026	J	`jnl`	The Pensieve Paradigm: Stateful Language Models Mastering Their Own Context. CoRR Xiaoyuan Liu, Tian Liang, Dongyang Ma, Deyu Zhou, Haitao Mi, Pinjia He, Yan Wang
2026	J	`jnl`	Topic-enhanced argument mining via mutual learning. Frontiers Comput. Sci. Jiasheng Si, Yingjie Zhu, Rui Wang, Wenpeng Lu, Yulan He, Deyu Zhou
2026	J	`jnl`	When KV Cache Reuse Fails in Multi-Agent Systems: Cross-Candidate Interaction is Crucial for LLM Judges. CoRR Sichu Liang, Zhenglin Wang, Jiajia Chu, Pengfei Xia, Hui Zang, Deyu Zhou
2025	B	`conf`	AdaCQR: Enhancing Query Reformulation for Conversational Search via Sparse and Dense Retrieval Alignment. COLING Yilong Lai, Jialong Wu, Congzhi Zhang, Haowen Sun, Deyu Zhou
2025	A*	`conf`	AdaRewriter: Unleashing the Power of Prompting-based Conversational Query Reformulation via Test-Time Adaptation. EMNLP Yilong Lai, Jialong Wu, Zhenglin Wang, Deyu Zhou
2025	J	`jnl`	AdaRewriter: Unleashing the Power of Prompting-based Conversational Query Reformulation via Test-Time Adaptation. CoRR Yilong Lai, Jialong Wu, Zhenglin Wang, Deyu Zhou
2025	J	`jnl`	Benchmarking Temporal Reasoning and Alignment Across Chinese Dynasties. CoRR Zhenglin Wang, Jialong Wu, Pengfei Li, Yong Jiang, Deyu Zhou
2025	A*	`conf`	Causal Prompting: Debiasing Large Language Model Prompting Based on Front-Door Adjustment. AAAI Congzhi Zhang, Linhai Zhang, Jialong Wu, Yulan He, Deyu Zhou
2025	B	`conf`	Cross-Domain Fake News Detection based on Dual-Granularity Adversarial Training. COLING Wenjie Wei, Yanyue Zhang, Jinyan Li, Panfei Liu, Deyu Zhou
2025	J	`jnl`	DimSum: Disentangling representation with automatically generated multi-category summary templates for fine-grained opinion summarization. Expert Syst. Appl. Yanyue Zhang, Yilong Lai, Zhenglin Wang, Deyu Zhou
2025	—	`conf`	Explainable Depression Detection in Clinical Interviews with Personalized Retrieval-Augmented Generation. ACL (Findings) Linhai Zhang, Ziyang Gao, Deyu Zhou, Yulan He
2025	J	`jnl`	Explainable Depression Detection in Clinical Interviews with Personalized Retrieval-Augmented Generation. CoRR Linhai Zhang, Ziyang Gao, Deyu Zhou, Yulan He
2025	B	`conf`	LASS: A Novel and Economical Data Augmentation Framework Based on Language Models for Debiasing Opinion Summarization. COLING Yanyue Zhang, Pengfei Li, Yilong Lai, Yulan He, Deyu Zhou
2025	A*	`conf`	Large Language Models Have Intrinsic Meta-Cognition, but Need a Good Lens. EMNLP Ziyang Ma, Qingyue Yuan, Zhenglin Wang, Deyu Zhou
2025	J	`jnl`	Large Language Models Have Intrinsic Meta-Cognition, but Need a Good Lens. CoRR Ziyang Ma, Qingyue Yuan, Zhenglin Wang, Deyu Zhou
2025	J	`jnl`	MIT: Mutual Information Topic Model for Diverse Topic Extraction. IEEE Trans. Neural Networks Learn. Syst. Rui Wang, Deyu Zhou, Haiping Huang, Yongquan Zhou
2025	J	`jnl`	NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale. CoRR Chunrui Han, GuoPeng Li, Jingwei Wu, Quan Sun, Yan Cai, Yuang Peng, Zheng Ge, Deyu Zhou, Haomiao Tang, Hongyu Zhou, Kenkun Liu, Ailin Huang, Bin Wang, Changxin Miao, Deshan Sun, En Yu, Fukun Yin, Gang Yu, Nie Hao, Haoran Lv, Hanpeng Hu, Jia Wang, Jian Zhou, Jianjian Sun, Kaijun Tan, Kang An, Kangheng Lin, Liang Zhao, Mei Chen, Peng Xing, Rui Wang, Shiyu Liu, Shutao Xia, Tianhao You, Wei Ji, Xianfang Zeng, Xin Han, Xuelin Zhang, Yana Wei, Yanming Xu, Yimin Jiang, Yingming Wang, Yu Zhou, Yucheng Han, Ziyang Meng, Binxing Jiao, Daxin Jiang, Xiangyu Zhang, Yibo Zhu
2025	—	`conf`	PROPER: A Progressive Learning Framework for Personalized Large Language Models with Group-Level Adaptation. ACL (1) Linhai Zhang, Jialong Wu, Deyu Zhou, Yulan He
2025	J	`jnl`	PROPER: A Progressive Learning Framework for Personalized Large Language Models with Group-Level Adaptation. CoRR Linhai Zhang, Jialong Wu, Deyu Zhou, Yulan He
2025	J	`jnl`	Persuasion Should be Double-Blind: A Multi-Domain Dialogue Dataset With Faithfulness Based on Causal Theory of Mind. CoRR Dingyi Zhang, Deyu Zhou
2025	A*	`conf`	Plan Dynamically, Express Rhetorically: A Debate-Driven Rhetorical Framework for Argumentative Writing. EMNLP Xueguan Zhao, Wenpeng Lu, Chaoqun Zheng, Weiyu Zhang, Jiasheng Si, Deyu Zhou
2025	—	`conf`	RGAR: Recurrence Generation-augmented Retrieval for Factual-aware Medical Question Answering. EMNLP (Findings) Sichu Liang, Linhai Zhang, Hongyu Zhu, Wenwen Wang, Yulan He, Deyu Zhou
2025	J	`jnl`	RGAR: Recurrence Generation-augmented Retrieval for Factual-aware Medical Question Answering. CoRR Sichu Liang, Linhai Zhang, Hongyu Zhu, Wenwen Wang, Yulan He, Deyu Zhou
2025	—	`conf`	Rehearse With User: Personalized Opinion Summarization via Role-Playing based on Large Language Models. ACL (Findings) Yanyue Zhang, Yulan He, Deyu Zhou
2025	J	`jnl`	Rehearse With User: Personalized Opinion Summarization via Role-Playing based on Large Language Models. CoRR Yanyue Zhang, Yulan He, Deyu Zhou
2025	J	`jnl`	Relevant emotion ranking with topic-enhanced emotion transition. Knowl. Based Syst. Linhai Zhang, Xin Zhang, Deyu Zhou
2025	—	`conf`	SCOPE: Optimizing Key-Value Cache Compression in Long-context Generation. ACL (1) Jialong Wu, Zhenglin Wang, Linhai Zhang, Yilong Lai, Yulan He, Deyu Zhou
2025	J	`jnl`	SECON: Maintaining Semantic Consistency in Data Augmentation for Code Search. ACM Trans. Inf. Syst. Xu Zhang, Zexu Lin, Xiaoyu Hu, Jianlei Wang, Wenpeng Lu, Deyu Zhou
2025	B	`conf`	SEED: Accelerating Reasoning Tree Construction via Scheduled Speculative Decoding. COLING Zhenglin Wang, Jialong Wu, Yilong Lai, Congzhi Zhang, Deyu Zhou
2025	J	`jnl`	Scene generalization for biomedical fact verification via hierarchical mixture of experts. Inf. Sci. Jiasheng Si, Haiyang Zhu, Yibo Zhao, Weiyu Zhang, Tianyi Wang, Wenpeng Lu, Deyu Zhou
2025	J	`jnl`	Slow Tuning and Low-Entropy Masking for Safe Chain-of-Thought Distillation. CoRR Ziyang Ma, Qingyue Yuan, Linhai Zhang, Deyu Zhou
2025	J	`jnl`	SpeakerVid-5M: A Large-Scale High-Quality Dataset for Audio-Visual Dyadic Interactive Human Generation. CoRR Youliang Zhang, Zhaoyang Li, Duomin Wang, Jiahe Zhang, Deyu Zhou, Zixin Yin, Xili Dai, Gang Yu, Xiu Li
2025	—	`conf`	SynGraph: A Dynamic Graph-LLM Synthesis Framework for Sparse Streaming User Sentiment Modeling. ACL (Findings) Xin Zhang, Qiyu Wei, Yingjie Zhu, Linhai Zhang, Deyu Zhou, Sophia Ananiadou
2025	J	`jnl`	SynGraph: A Dynamic Graph-LLM Synthesis Framework for Sparse Streaming User Sentiment Modeling. CoRR Xin Zhang, Qiyu Wei, Yingjie Zhu, Linhai Zhang, Deyu Zhou, Sophia Ananiadou
2025	A*	`conf`	Taming Teacher Forcing for Masked Autoregressive Video Generation. CVPR Deyu Zhou, Quan Sun, Yuang Peng, Kun Yan, Runpei Dong, Duomin Wang, Zheng Ge, Nan Duan, Xiangyu Zhang
2025	J	`jnl`	Taming Teacher Forcing for Masked Autoregressive Video Generation. CoRR Deyu Zhou, Quan Sun, Yuang Peng, Kun Yan, Runpei Dong, Duomin Wang, Zheng Ge, Nan Duan, Xiangyu Zhang, Lionel M. Ni, Heung-Yeung Shum
2025	J	`jnl`	Training-Free Text-Guided Color Editing with Multi-Modal Diffusion Transformer. CoRR Zixin Yin, Xili Dai, Ling-Hao Chen, Deyu Zhou, Jianan Wang, Duomin Wang, Gang Yu, Lionel M. Ni, Lei Zhang, Heung-Yeung Shum
2025	J	`jnl`	UniVerse-1: Unified Audio-Video Generation via Stitching of Experts. CoRR Duomin Wang, Wei Zuo, Aojie Li, Ling-Hao Chen, Xinyao Liao, Deyu Zhou, Zixin Yin, Xili Dai, Daxin Jiang, Gang Yu
2025	—	`conf`	WebWalker: Benchmarking LLMs in Web Traversal. ACL (1) Jialong Wu, Wenbiao Yin, Yong Jiang, Zhenglin Wang, Zekun Xi, Runnan Fang, Linhai Zhang, Yulan He, Deyu Zhou, Pengjun Xie, Fei Huang
2025	J	`jnl`	WebWalker: Benchmarking LLMs in Web Traversal. CoRR Jialong Wu, Wenbiao Yin, Yong Jiang, Zhenglin Wang, Zekun Xi, Runnan Fang, Linhai Zhang, Yulan He, Deyu Zhou, Pengjun Xie, Fei Huang
2024	J	`jnl`	AdaCQR: Enhancing Query Reformulation for Conversational Search via Sparse and Dense Retrieval Alignment. CoRR Yilong Lai, Jialong Wu, Congzhi Zhang, Haowen Sun, Deyu Zhou
2024	—	`conf`	CHECKWHY: Causal Fact Verification via Argument Structure. ACL (1) Jiasheng Si, Yibo Zhao, Yingjie Zhu, Haiyang Zhu, Wenpeng Lu, Deyu Zhou
2024	J	`jnl`	CHECKWHY: Causal Fact Verification via Argument Structure. CoRR Jiasheng Si, Yibo Zhao, Yingjie Zhu, Haiyang Zhu, Wenpeng Lu, Deyu Zhou
2024	J	`jnl`	CORES: COde REpresentation Summarization for Code Search. IEEE Trans. Consumer Electron. Xu Zhang, Xiaoyu Hu, Deyu Zhou
2024	J	`jnl`	Causal Prompting: Debiasing Large Language Model Prompting based on Front-Door Adjustment. CoRR Congzhi Zhang, Linhai Zhang, Deyu Zhou, Guoqiang Xu
2024	A*	`conf`	Causal Walk: Debiasing Multi-Hop Fact Verification with Front-Door Adjustment. AAAI Congzhi Zhang, Linhai Zhang, Deyu Zhou
2024	J	`jnl`	Causal Walk: Debiasing Multi-Hop Fact Verification with Front-Door Adjustment. CoRR Congzhi Zhang, Linhai Zhang, Deyu Zhou
2024	—	`conf`	DINER: Debiasing Aspect-based Sentiment Analysis with Multi-variable Causal Inference. ACL (Findings) Jialong Wu, Linhai Zhang, Deyu Zhou, Guoqiang Xu
2024	J	`jnl`	DINER: Debiasing Aspect-based Sentiment Analysis with Multi-variable Causal Inference. CoRR Jialong Wu, Linhai Zhang, Deyu Zhou, Guoqiang Xu
2024	—	`conf`	Denoising Rationalization for Multi-hop Fact Verification via Multi-granular Explainer. EMNLP (Findings) Jiasheng Si, Yingjie Zhu, Wenpeng Lu, Deyu Zhou
2024	J	`jnl`	Fine-grainedly Synthesize Streaming Data Based On Large Language Models With Graph Structure Understanding For Data Sparsity. CoRR Xin Zhang, Linhai Zhang, Deyu Zhou, Guoqiang Xu
2024	J	`jnl`	HFD: Hierarchical feature decoupling for SQL generation from text. Intell. Data Anal. Xu Zhang, Xiaoyu Hu, Zejie Liu, Yanzheng Xiang, Deyu Zhou
2024	J	`jnl`	I Intell. Data Anal. Xu Zhang, Yanzheng Xiang, Zejie Liu, Xiaoyu Hu, Deyu Zhou
2024	J	`jnl`	Large, Small or Both: A Novel Data Augmentation Framework Based on Language Models for Debiasing Opinion Summarization. CoRR Yanyue Zhang, Pengfei Li, Yilong Lai, Deyu Zhou, Yulan He
2024	J	`jnl`	M2A: A model-agnostic and metadata-free adversarial framework for unsupervised opinion summarization. Comput. Speech Lang. Yanyue Zhang, Deyu Zhou, Zhenglin Wang, Yilong Lai
2024	—	`conf`	Opinions Are Not Always Positive: Debiasing Opinion Summarization with Model-Specific and Model-Agnostic Methods. LREC/COLING Yanyue Zhang, Yilong Lai, Zhenglin Wang, Pengfei Li, Deyu Zhou, Yulan He
2024	—	`conf`	Reduce Redundancy Then Rerank: Enhancing Code Summarization with a Novel Pipeline Framework. LREC/COLING Xiaoyu Hu, Xu Zhang, Zexu Lin, Deyu Zhou
2024	J	`jnl`	SCOPE: Optimizing Key-Value Cache Compression in Long-context Generation. CoRR Jialong Wu, Zhenglin Wang, Linhai Zhang, Yilong Lai, Yulan He, Deyu Zhou
2024	J	`jnl`	SEED: Accelerating Reasoning Tree Construction via Scheduled Speculative Decoding. CoRR Zhenglin Wang, Jialong Wu, Yilong Lai, Congzhi Zhang, Deyu Zhou
2024	—	`conf`	STAR: Constraint LoRA with Dynamic Active Learning for Data-Efficient Fine-Tuning of Large Language Models. ACL (Findings) Linhai Zhang, Jialong Wu, Deyu Zhou, Guoqiang Xu
2024	J	`jnl`	STAR: Constraint LoRA with Dynamic Active Learning for Data-Efficient Fine-Tuning of Large Language Models. CoRR Linhai Zhang, Jialong Wu, Deyu Zhou, Guoqiang Xu
2024	—	`conf`	TECA: A Two-stage Approach with Controllable Attention Soft Prompt for Few-shot Nested Named Entity Recognition. LREC/COLING Yuanyuan Xu, Linhai Zhang, Deyu Zhou
2024	J	`jnl`	Variational Gaussian topic model with invertible neural projections. Neural Comput. Appl. Rui Wang, Deyu Zhou, Yuxuan Xiong, Haiping Huang
2023	J	`jnl`	Biomedical Argument Mining Based on Sequential Multi-Task Learning. IEEE ACM Trans. Comput. Biol. Bioinform. Jiasheng Si, Liu Sun, Deyu Zhou, Jie Ren, Lin Li
2023	J	`jnl`	Consistent Multi-Granular Rationale Extraction for Explainable Multi-hop Fact Verification. CoRR Jiasheng Si, Yingjie Zhu, Deyu Zhou
2023	—	`conf`	Disentangling Text Representation With Counter-Template For Unsupervised Opinion Summarization. ACL (Findings) Yanyue Zhang, Deyu Zhou
2023	A*	`conf`	EXPLAIN, EDIT, GENERATE: Rationale-Sensitive Counterfactual Data Augmentation for Multi-hop Fact Verification. EMNLP Yingjie Zhu, Jiasheng Si, Yibo Zhao, Haiyang Zhu, Deyu Zhou, Yulan He
2023	J	`jnl`	EXPLAIN, EDIT, GENERATE: Rationale-Sensitive Counterfactual Data Augmentation for Multi-hop Fact Verification. CoRR Yingjie Zhu, Jiasheng Si, Yibo Zhao, Haiyang Zhu, Deyu Zhou, Yulan He
2023	J	`jnl`	Explainable Topic-Enhanced Argument Mining from Heterogeneous Sources. CoRR Jiasheng Si, Yingjie Zhu, Xingyu Shi, Deyu Zhou, Yulan He
2023	A*	`conf`	Exploring Faithful Rationale for Multi-Hop Fact Verification via Salience-Aware Graph Learning. AAAI Jiasheng Si, Yingjie Zhu, Deyu Zhou
2023	J	`jnl`	Feature Representation Learning for NL2SQL Generation Based on Coupling and Decoupling. CoRR Chenduo Hao, Xu Zhang, Chuanbao Gao, Deyu Zhou
2023	—	`conf`	Focusing, Bridging and Prompting for Few-shot Nested Named Entity Recognition. ACL (Findings) Yuanyuan Xu, Zeng Yang, Linhai Zhang, Deyu Zhou, Tiandeng Wu, Rong Zhou
2023	—	`conf`	G³R: A Graph-Guided Generate-and-Rerank Framework for Complex and Cross-domain Text-to-SQL Generation. ACL (Findings) Yanzheng Xiang, Qian-Wen Zhang, Xu Zhang, Zejie Liu, Yunbo Cao, Deyu Zhou
2023	—	`conf`	Multi-Relational Probabilistic Event Representation Learning via Projected Gaussian Embedding. ACL (Findings) Linhai Zhang, Congzhi Zhang, Deyu Zhou
2023	—	`conf`	Neural Topic Modeling based on Cycle Adversarial Training and Contrastive Learning. ACL (Findings) Boyu Wang, Linhai Zhang, Deyu Zhou, Yi Cao, Jiandong Ding
2023	A*	`conf`	Sentiment Analysis on Streaming User Reviews via Dual-Channel Dynamic Graph Neural Network. EMNLP Xin Zhang, Linhai Zhang, Deyu Zhou
2023	A*	`conf`	Talking Head Generation with Probabilistic Audio-to-Visual Diffusion Priors. ICCV Zhentao Yu, Zixin Yin, Deyu Zhou, Duomin Wang, Finn Wong, Baoyuan Wang
2022	—	`conf`	A Novel Framework Based on Medical Concept Driven Attention for Explainable Medical Code Prediction via External Knowledge. ACL (Findings) Tao Wang, Linhai Zhang, Chenchen Ye, Junxi Liu, Deyu Zhou
2022	—	`conf`	Code Generation From Flowcharts with Texts: A Benchmark Dataset and An Approach. EMNLP (Findings) Zejie Liu, Xiaoyu Hu, Deyu Zhou, Lin Li, Xu Zhang, Yanzheng Xiang
2022	B	`conf`	Complicate Then Simplify: A Novel Way to Explore Pre-trained Models for Text Classification. COLING Xu Zhang, Zejie Liu, Yanzheng Xiang, Deyu Zhou
2022	J	`jnl`	Exploring Faithful Rationale for Multi-hop Fact Verification via Salience-Aware Graph Learning. CoRR Jiasheng Si, Yingjie Zhu, Deyu Zhou
2022	J	`jnl`	Named Entity Aware Transfer Learning for Biomedical Factoid Question Answering. IEEE ACM Trans. Comput. Biol. Bioinform. Keqin Peng, Chuantao Yin, Wenge Rong, Chenghua Lin, Deyu Zhou, Zhang Xiong
2022	—	`conf`	Pre-training and Fine-tuning Neural Topic Model: A Simple yet Effective Approach to Incorporating External Knowledge. ACL (1) Linhai Zhang, Xuemeng Hu, Boyu Wang, Deyu Zhou, Qian-Wen Zhang, Yunbo Cao
2022	B	`conf`	SEE-Few: Seed, Expand and Entail for Few-shot Named Entity Recognition. COLING Zeng Yang, Linhai Zhang, Deyu Zhou
2022	J	`jnl`	SEE-Few: Seed, Expand and Entail for Few-shot Named Entity Recognition. CoRR Zeng Yang, Linhai Zhang, Deyu Zhou
2022	J	`jnl`	Talking Head Generation with Probabilistic Audio-to-Visual Diffusion Priors. CoRR Zhentao Yu, Zixin Yin, Deyu Zhou, Duomin Wang, Finn Wong, Baoyuan Wang
2022	B	`conf`	Temporal Knowledge Graph Completion with Approximated Gaussian Process Embedding. COLING Linhai Zhang, Deyu Zhou
2021	J	`jnl`	A Bayesian end-to-end model with estimated uncertainties for simple question answering over knowledge bases. Comput. Speech Lang. Linhai Zhang, Chao Lin, Deyu Zhou, Yulan He, Meng Zhang
2021	—	`conf`	A Divide-And-Conquer Approach for Multi-label Multi-hop Relation Detection in Knowledge Base Question Answering. EMNLP (Findings) Deyu Zhou, Yanzheng Xiang, Linhai Zhang, Chenchen Ye, Qian-Wen Zhang, Yunbo Cao
2021	—	`conf`	A Multi-label Multi-hop Relation Detection Model based on Relation-aware Sequence Generation. EMNLP (Findings) Linhai Zhang, Deyu Zhou, Chao Lin, Yulan He
2021	A*	`conf`	A Neural Group-wise Sentiment Analysis Model with Data Sparsity Awareness. AAAI Deyu Zhou, Meng Zhang, Linhai Zhang, Yulan He
2021	—	`conf`	Beyond Text: Incorporating Metadata and Label Structure for Multi-Label Document Classification using Heterogeneous Graphs. EMNLP (1) Chenchen Ye, Linhai Zhang, Yulan He, Deyu Zhou, Jie Wu
2021	J	`jnl`	Health issue identification in social media based on multi-task hierarchical neural networks with topic attention. Artif. Intell. Medicine Deyu Zhou, Jiale Yuan, Jiasheng Si
2021	J	`jnl`	Hierarchical state recurrent neural network for social emotion ranking. Comput. Speech Lang. Deyu Zhou, Meng Zhang, Yang Yang, Yulan He
2021	J	`jnl`	Image generation from text with entity information fusion. Knowl. Based Syst. Deyu Zhou, Kai Sun, Mingqi Hu, Yulan He
2021	—	`conf`	Implicit Sentiment Analysis with Event-centered Text Representation. EMNLP (1) Deyu Zhou, Jianan Wang, Linhai Zhang, Yulan He
2021	A*	`conf`	MERL: Multimodal Event Representation Learning in Heterogeneous Embedding Spaces. AAAI Linhai Zhang, Deyu Zhou, Yulan He, Zeng Yang
2021	—	`conf`	Topic-Aware Evidence Reasoning and Stance-Aware Aggregation for Fact Verification. ACL/IJCNLP (1) Jiasheng Si, Deyu Zhou, Tongzhe Li, Xingyu Shi, Yulan He
2021	J	`jnl`	Topic-Aware Evidence Reasoning and Stance-Aware Aggregation for Fact Verification. CoRR Jiasheng Si, Deyu Zhou, Tongzhe Li, Xingyu Shi, Yulan He
2021	—	`conf`	Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection. ACL/IJCNLP (1) Lixing Zhu, Gabriele Pergola, Lin Gui, Deyu Zhou, Yulan He
2021	J	`jnl`	Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection. CoRR Lixing Zhu, Gabriele Pergola, Lin Gui, Deyu Zhou, Yulan He
2021	J	`jnl`	Unsupervised latent event representation learning and storyline extraction from news articles based on neural networks. Intell. Data Anal. Jiasheng Si, Linsen Guo, Deyu Zhou
2021	J	`jnl`	Variational Gaussian Topic Model with Invertible Neural Projections. CoRR Rui Wang, Deyu Zhou, Yuxuan Xiong, Haiping Huang
2020	J	`jnl`	A Neural Generative Model for Joint Learning Topics and Topic-Specific Word Embeddings. CoRR Lixing Zhu, Yulan He, Deyu Zhou
2020	J	`jnl`	A Neural Generative Model for Joint Learning Topics and Topic-Specific Word Embeddings. Trans. Assoc. Comput. Linguistics Lixing Zhu, Deyu Zhou, Yulan He
2020	B	`conf`	Emotion Classification by Jointly Learning to Lexiconize and Classify. COLING Deyu Zhou, Shuangzhi Wu, Qing Wang, Jun Xie, Zhaopeng Tu, Mu Li
2020	J	`jnl`	LSTM-Based End-to-End Framework for Biomedical Event Extraction. IEEE ACM Trans. Comput. Biol. Bioinform. Xinyi Yu, Wenge Rong, Jingshuang Liu, Deyu Zhou, Yuanxin Ouyang, Zhang Xiong
2020	A*	`conf`	Neural Temporal Opinion Modelling for Opinion Prediction on Twitter. ACL Lixing Zhu, Yulan He, Deyu Zhou
2020	J	`jnl`	Neural Temporal Opinion Modelling for Opinion Prediction on Twitter. CoRR Lixing Zhu, Yulan He, Deyu Zhou
2020	—	`conf`	Neural Topic Modeling by Incorporating Document Relationship Graph. EMNLP (1) Deyu Zhou, Xuemeng Hu, Rui Wang
2020	J	`jnl`	Neural Topic Modeling by Incorporating Document Relationship Graph. CoRR Deyu Zhou, Xuemeng Hu, Rui Wang
2020	A*	`conf`	Neural Topic Modeling with Bidirectional Adversarial Training. ACL Rui Wang, Xuemeng Hu, Deyu Zhou, Yulan He, Yuxuan Xiong, Chenchen Ye, Haiyang Xu
2020	J	`jnl`	Neural Topic Modeling with Bidirectional Adversarial Training. CoRR Rui Wang, Xuemeng Hu, Deyu Zhou, Yulan He, Yuxuan Xiong, Chenchen Ye, Haiyang Xu
2020	—	`conf`	Neural Topic Modeling with Cycle-Consistent Adversarial Training. EMNLP (1) Xuemeng Hu, Rui Wang, Deyu Zhou, Yuxuan Xiong
2020	J	`jnl`	Neural Topic Modeling with Cycle-Consistent Adversarial Training. CoRR Xuemeng Hu, Rui Wang, Deyu Zhou, Yuxuan Xiong
2020	J	`jnl`	Neural opinion dynamics model for the prediction of user-level stance dynamics. Inf. Process. Manag. Lixing Zhu, Yulan He, Deyu Zhou
2020	J	`jnl`	Optimising topic coherence with Weighted Po'lya Urn scheme. Neurocomputing Rui Wang, Deyu Zhou, Yulan He
2020	J	`jnl`	Storyline extraction from news articles with dynamic dependency. Intell. Data Anal. Linsen Guo, Deyu Zhou, Yulan He, Haiyang Xu
2019	J	`jnl`	A Survey on Opinion Mining: From Stance to Product Aspect. IEEE Access Rui Wang, Deyu Zhou, Mingmin Jiang, Jiasheng Si, Yang Yang
2019	J	`jnl`	ATM: Adversarial-neural Topic Model. Inf. Process. Manag. Rui Wang, Deyu Zhou, Yulan He
2019	A*	`conf`	GraspSnooker: Automatic Chinese Commentary Generation for Snooker Videos. IJCAI Zhaoyue Sun, Jiaze Chen, Hao Zhou, Deyu Zhou, Lei Li, Mingmin Jiang
2019	J	`jnl`	Hidden topic-emotion transition model for multi-level social emotion detection. Knowl. Based Syst. Donglei Tang, Zhikai Zhang, Yulan He, Chao Lin, Deyu Zhou
2019	J	`jnl`	Hierarchical viewpoint discovery from tweets using Bayesian modelling. Expert Syst. Appl. Lixing Zhu, Yulan He, Deyu Zhou
2019	—	`conf`	Interpretable Relevant Emotion Ranking with Event-Driven Attention. EMNLP/IJCNLP (1) Yang Yang, Deyu Zhou, Yulan He, Meng Zhang
2019	—	`conf`	Open Event Extraction from Online Text using a Generative Adversarial Network. EMNLP/IJCNLP (1) Rui Wang, Deyu Zhou, Yulan He
2019	J	`jnl`	Open Event Extraction from Online Text using a Generative Adversarial Network. CoRR Rui Wang, Deyu Zhou, Yulan He
2019	C	`conf`	Variational Conditional GAN for Fine-grained Controllable Image Generation. ACML Mingqi Hu, Deyu Zhou, Yulan He
2019	J	`jnl`	Variational Conditional GAN for Fine-grained Controllable Image Generation. CoRR Mingqi Hu, Deyu Zhou, Yulan He
2018	J	`jnl`	ATM: Adversarial-neural Topic Model. CoRR Rui Wang, Deyu Zhou, Yulan He
2018	A*	`conf`	An Interpretable Neural Network with Topical Information for Relevant Emotion Ranking. EMNLP Yang Yang, Deyu Zhou, Yulan He
2018	—	`conf`	Neural Storyline Extraction Model for Storyline Generation from News Articles. NAACL-HLT Deyu Zhou, Linsen Guo, Yulan He
2018	J	`jnl`	Position-aware deep multi-task learning for drug-drug interaction extraction. Artif. Intell. Medicine Deyu Zhou, Lei Miao, Yulan He
2018	—	`conf`	Relevant Emotion Ranking from Text Constrained with Emotion Relationships. NAACL-HLT Deyu Zhou, Yang Yang, Yulan He
2018	J	`jnl`	Weakly Supervised POS Tagging without Disambiguation. ACM Trans. Asian Low Resour. Lang. Inf. Process. Deyu Zhou, Zhikai Zhang, Min-Ling Zhang, Yulan He
2017	—	`conf`	Event extraction from Twitter using Non-Parametric Bayesian Mixture Model with Word Embeddings. EACL (1) Deyu Zhou, Xuan Zhang, Yulan He
2017	J	`jnl`	Unsupervised event exploration from social text streams. Intell. Data Anal. Deyu Zhou, Liangyu Chen, Xuan Zhang, Yulan He
2016	A*	`conf`	Emotion Distribution Learning from Texts. EMNLP Deyu Zhou, Xuan Zhang, Yin Zhou, Quan Zhao, Xin Geng
2016	—	`conf`	Jointly Event Extraction and Visualization on Twitter via Probabilistic Modelling. ACL (1) Deyu Zhou, Tianmeng Gao, Yulan He
2016	A*	`conf`	Sparsity Conditional Energy Label Distribution Learning for Age Estimation. IJCAI Xu Yang, Xin Geng, Deyu Zhou
2016	A*	`conf`	Unsupervised Storyline Extraction from News Articles. IJCAI Deyu Zhou, Haiyang Xu, Xin-Yu Dai, Yulan He
2015	J	`jnl`	A semi-supervised learning framework for biomedical event extraction based on hidden topics. Artif. Intell. Medicine Deyu Zhou, Dayou Zhong
2015	A*	`conf`	An Unsupervised Bayesian Modelling Approach for Storyline Detection on News Articles. EMNLP Deyu Zhou, Haiyang Xu, Yulan He
2015	A*	`conf`	An Unsupervised Framework of Exploring Events on Twitter: Filtering, Extraction and Categorization. AAAI Deyu Zhou, Liangyu Chen, Yulan He
2014	—	`conf`	A Simple Bayesian Modelling Approach to Event Extraction from Twitter. ACL (2) Deyu Zhou, Liangyu Chen, Yulan He
2014	J	`jnl`	Biomedical Relation Extraction: From Binary to Complex. Comput. Math. Methods Medicine Deyu Zhou, Dayou Zhong, Yulan He
2014	J	`jnl`	Event trigger identification for biomedical events extraction using domain knowledge. Bioinform. Deyu Zhou, Dayou Zhong, Yulan He
2012	J	`jnl`	Analyzing ChIP-seq Data based on Multiple Knowledge Sources for Histone Modification. J. Softw. Dafeng Chen, Deyu Zhou, Yuliang Zhuang
2011	A	`conf`	A novel framework of training hidden markov support vector machines from lightly-annotated data. CIKM Deyu Zhou, Yulan He
2011	J	`jnl`	Biomedical events extraction using the hidden vector state model. Artif. Intell. Medicine Deyu Zhou, Yulan He
2011	A	`conf`	Learning Conditional Random Fields from Unaligned Data for Natural Language Understanding. ECIR Deyu Zhou, Yulan He
2011	J	`jnl`	Self-training from labeled features for sentiment analysis. Inf. Process. Manag. Yulan He, Deyu Zhou
2011	—	`conf`	Semantic Parsing for Biomedical Event Extraction. IWCS Deyu Zhou, Yulan He
2010	—	`conf`	Exploring English Lexicon Knowledge for Chinese Sentiment Analysis. CIPS-SIGHAN Yulan He, Harith Alani, Deyu Zhou
2009	J	`jnl`	Discriminative Training of the Hidden Vector State Model for Semantic Parsing. IEEE Trans. Knowl. Data Eng. Deyu Zhou, Yulan He
2008	B	`conf`	A Hybrid Generative/Discriminative Framework to Train a Semantic Parser from an Un-annotated Corpus. COLING Deyu Zhou, Yulan He
2008	—	`conf`	Extracting Protein-Protein Interaction based on Discriminative Training of the Hidden Vector State Model. BioNLP Deyu Zhou, Yulan He
2008	J	`jnl`	Extracting Protein-Protein Interactions from MEDLINE using the Hidden Vector State model. Int. J. Bioinform. Res. Appl. Deyu Zhou, Yulan He, Chee Keong Kwoh
2008	J	`jnl`	Extracting interactions between proteins from the literature. J. Biomed. Informatics Deyu Zhou, Yulan He
2008	—	`ch.`	From Biomedical Literature to Knowledge: Mining Protein-Protein Interactions. Computational Intelligence in Biomedicine and Bioinformatics Deyu Zhou, Yulan He, Chee Keong Kwoh
2008	—	`conf`	Ontology-Based Protein-Protein Interactions Extraction from Literature Using the Hidden Vector State Model. ICDM Workshops Yulan He, Keiichi Nakata, Deyu Zhou
2007	—	`conf`	Ant-MST: An Ant-Based Minimum Spanning Tree for Gene Expression Data Clustering. PRIB Deyu Zhou, Yulan He, Chee Keong Kwoh, Hao Wang
2007	C	`conf`	Semi-supervised Learning of the Hidden Vector State Model for Protein-Protein Interactions Extraction. CIDM Deyu Zhou, Yulan He, Chee Keong Kwoh
2007	J	`jnl`	Semi-supervised learning of the hidden vector state model for extracting protein-protein interactions. Artif. Intell. Medicine Deyu Zhou, Yulan He, Chee Keong Kwoh
2007	Misc	`conf`	Training the Hidden Vector State Model from Un-annotated Corpus. International Conference on Computational Science (2) Deyu Zhou, Yulan He, Chee Keong Kwoh
2006	Misc	`conf`	Extracting Protein-Protein Interactions from the Literature Using the Hidden Vector State Model. International Conference on Computational Science (2) Deyu Zhou, Yulan He, Chee Keong Kwoh
1998	J	`jnl`	Packet-switched optical networks. IEEE Micro Ben Y. Yu, Paul Tollver, Robert J. Runser, Kung-Li Deng, Deyu Zhou, Ivan Glesk, Paul R. Prucnal