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2020 – today
- 2025
[j46]Linhai Zhang, Xin Zhang, Deyu Zhou:
Relevant emotion ranking with topic-enhanced emotion transition. Knowl. Based Syst. 311: 113015 (2025)- [j45]Rui Wang
, Deyu Zhou, Haiping Huang, Yongquan Zhou:
MIT: Mutual Information Topic Model for Diverse Topic Extraction. IEEE Trans. Neural Networks Learn. Syst. 36(2): 2523-2537 (2025) - [c67]Zhenglin Wang, Jialong Wu, Yilong Lai, Congzhi Zhang, Deyu Zhou:
SEED: Accelerating Reasoning Tree Construction via Scheduled Speculative Decoding. COLING 2025: 4920-4937 - [c66]Yanyue Zhang, Pengfei Li, Yilong Lai, Yulan He, Deyu Zhou:
LASS: A Novel and Economical Data Augmentation Framework Based on Language Models for Debiasing Opinion Summarization. COLING 2025: 6169-6183 - [c65]Yilong Lai, Jialong Wu, Congzhi Zhang, Haowen Sun, Deyu Zhou:
AdaCQR: Enhancing Query Reformulation for Conversational Search via Sparse and Dense Retrieval Alignment. COLING 2025: 7698-7720 - [c64]Wenjie Wei, Yanyue Zhang, Jinyan Li, Panfei Liu, Deyu Zhou:
Cross-Domain Fake News Detection based on Dual-Granularity Adversarial Training. COLING 2025: 9407-9417 - [i37]Jialong Wu, Wenbiao Yin, Yong Jiang, Zhenglin Wang, Zekun Xi, Runnan Fang, Linhai Zhang, Yulan He, Deyu Zhou, Pengjun Xie, Fei Huang:
WebWalker: Benchmarking LLMs in Web Traversal. CoRR abs/2501.07572 (2025) - [i36]Deyu Zhou, Quan Sun, Yuang Peng, Kun Yan, Runpei Dong, Duomin Wang, Zheng Ge, Nan Duan, Xiangyu Zhang, Lionel M. Ni, Heung-Yeung Shum:
Taming Teacher Forcing for Masked Autoregressive Video Generation. CoRR abs/2501.12389 (2025) - [i35]Guoqing Ma, Haoyang Huang, Kun Yan, Liangyu Chen, Nan Duan, Shengming Yin, Changyi Wan, Ranchen Ming, Xiaoniu Song, Xing Chen, Yu Zhou, Deshan Sun, Deyu Zhou, Jian Zhou, Kaijun Tan, Kang An, Mei Chen, Wei Ji, Qiling Wu, Wen Sun, Xin Han, Yanan Wei, Zheng Ge, Aojie Li, Bin Wang, Bizhu Huang, Bo Wang, Brian Li, Changxing Miao, Chen Xu, Chenfei Wu, Chenguang Yu, Dapeng Shi, Dingyuan Hu, Enle Liu, Gang Yu, Ge Yang, Guanzhe Huang, Gulin Yan, Haiyang Feng, Hao Nie, Haonan Jia, Hanpeng Hu, Hanqi Chen, Haolong Yan, Heng Wang, Hongcheng Guo, Huilin Xiong, Huixin Xiong, Jiahao Gong, Jianchang Wu, Jiaoren Wu, Jie Wu, Jie Yang, Jiashuai Liu, Jiashuo Li, Jingyang Zhang, Junjing Guo, Junzhe Lin, Kaixiang Li, Lei Liu, Lei Xia, Liang Zhao, Liguo Tan, Liwen Huang, Liying Shi, Ming Li, Mingliang Li, Muhua Cheng, Na Wang, Qiaohui Chen, Qinglin He, Qiuyan Liang, Quan Sun, Ran Sun, Rui Wang, Shaoliang Pang, Shiliang Yang, Sitong Liu, Siqi Liu, Shuli Gao, Tiancheng Cao, Tianyu Wang, Weipeng Ming, Wenqing He, Xu Zhao, Xuelin Zhang, Xianfang Zeng, Xiaojia Liu, Xuan Yang, Yaqi Dai, Yanbo Yu, Yang Li, Yineng Deng, Yingming Wang, Yilei Wang, Yuanwei Lu, Yu Chen, Yu Luo, Yuchu Luo:
Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model. CoRR abs/2502.10248 (2025) - [i34]Sichu Liang, Linhai Zhang, Hongyu Zhu, Wenwen Wang, Yulan He, Deyu Zhou:
RGAR: Recurrence Generation-augmented Retrieval for Factual-aware Medical Question Answering. CoRR abs/2502.13361 (2025) - [i33]Zhenglin Wang, Jialong Wu, Pengfei LI, Yong Jiang, Deyu Zhou:
Benchmarking Temporal Reasoning and Alignment Across Chinese Dynasties. CoRR abs/2502.16922 (2025) - [i32]Dingyi Zhang, Deyu Zhou:
Persuasion Should be Double-Blind: A Multi-Domain Dialogue Dataset With Faithfulness Based on Causal Theory of Mind. CoRR abs/2502.21297 (2025) - 2024
- [j44]Yanyue Zhang, Deyu Zhou, Zhenglin Wang, Yilong Lai:
M2A: A model-agnostic and metadata-free adversarial framework for unsupervised opinion summarization. Comput. Speech Lang. 84: 101570 (2024) - [j43]Xu Zhang, Yanzheng Xiang, Zejie Liu, Xiaoyu Hu, Deyu Zhou:
I2R: Intra and inter-modal representation learning for code search. Intell. Data Anal. 28(3): 807-823 (2024) - [j42]Xu Zhang, Xiaoyu Hu, Zejie Liu, Yanzheng Xiang, Deyu Zhou:
HFD: Hierarchical feature decoupling for SQL generation from text. Intell. Data Anal. 28(4): 991-1005 (2024) - [j41]Xiao Xue, Deyu Zhou, Xiangning Yu, Gang Wang, Juanjuan Li, Xia Xie, Lizhen Cui, Fei-Yue Wang:
Computational Experiments for Complex Social Systems: Experiment Design and Generative Explanation. IEEE CAA J. Autom. Sinica 11(4): 1022-1038 (2024) - [j40]Xiao Xue, Xiangning Yu, Deyu Zhou, Xiao Wang, Chongke Bi, Shufang Wang, Fei-Yue Wang:
Computational Experiments for Complex Social Systems: Integrated Design of Experiment System. IEEE CAA J. Autom. Sinica 11(5): 1175-1189 (2024) - [j39]Linhao Zhang, Xudong Lu, Lizhen Cui, Deyu Zhou, Wei Guo:
Optimization of Service Utility in 5G Heterogeneous Networks Using Dynamic Game. Int. J. Crowd Sci. 8(4): 159-167 (2024) - [j38]Rui Wang, Deyu Zhou, Yuxuan Xiong, Haiping Huang:
Variational Gaussian topic model with invertible neural projections. Neural Comput. Appl. 36(2): 961-975 (2024) - [j37]Xu Zhang, Xiaoyu Hu, Deyu Zhou:
CORES: COde REpresentation Summarization for Code Search. IEEE Trans. Consumer Electron. 70(3): 6095-6104 (2024) - [j36]Xiao Xue, Xiangning Yu, Deyu Zhou, Chao Peng, Xiao Wang, Donghua Liu, Fei-Yue Wang:
Computational Experiments for Complex Social Systems - Part III: The Docking of Domain Models. IEEE Trans. Comput. Soc. Syst. 11(2): 1766-1780 (2024) - [j35]Xiao Xue, Yifan Shen, Xiangning Yu, Deyu Zhou, Xiao Wang, Gang Wang, Fei-Yue Wang:
Computational Experiments: A New Analysis Method for Cyber-Physical-Social Systems. IEEE Trans. Syst. Man Cybern. Syst. 54(2): 813-826 (2024) - [c63]Congzhi Zhang, Linhai Zhang, Deyu Zhou:
Causal Walk: Debiasing Multi-Hop Fact Verification with Front-Door Adjustment. AAAI 2024: 19533-19541 - [c62]Jialong Wu, Linhai Zhang, Deyu Zhou, Guoqiang Xu:
DINER: Debiasing Aspect-based Sentiment Analysis with Multi-variable Causal Inference. ACL (Findings) 2024: 3504-3518 - [c61]Linhai Zhang, Jialong Wu, Deyu Zhou, Guoqiang Xu:
STAR: Constraint LoRA with Dynamic Active Learning for Data-Efficient Fine-Tuning of Large Language Models. ACL (Findings) 2024: 3519-3532 - [c60]Jiasheng Si, Yibo Zhao, Yingjie Zhu, Haiyang Zhu, Wenpeng Lu, Deyu Zhou:
CHECKWHY: Causal Fact Verification via Argument Structure. ACL (1) 2024: 15636-15659 - [c59]Yanyue Zhang, Yilong Lai, Zhenglin Wang, Pengfei Li, Deyu Zhou, Yulan He:
Opinions Are Not Always Positive: Debiasing Opinion Summarization with Model-Specific and Model-Agnostic Methods. LREC/COLING 2024: 12496-12513 - [c58]Xiaoyu Hu, Xu Zhang, Zexu Lin, Deyu Zhou:
Reduce Redundancy Then Rerank: Enhancing Code Summarization with a Novel Pipeline Framework. LREC/COLING 2024: 13722-13733 - [c57]Yuanyuan Xu, Linhai Zhang, Deyu Zhou:
TECA: A Two-stage Approach with Controllable Attention Soft Prompt for Few-shot Nested Named Entity Recognition. LREC/COLING 2024: 15698-15710 - [c56]Jiasheng Si, Yingjie Zhu, Wenpeng Lu, Deyu Zhou:
Denoising Rationalization for Multi-hop Fact Verification via Multi-granular Explainer. EMNLP (Findings) 2024: 12593-12608 - [c55]Xiangning Yu, Xiao Xue, Deyu Zhou, Li Fang, Zhiyong Feng:
Beyond Traditional Metrics: The Power of Value Entropy in Multidimensional Evaluation of the Service Ecosystem. ICWS 2024: 611-621 - [i31]Qun Ma, Xiao Xue, Deyu Zhou, Xiangning Yu, Donghua Liu, Xuwen Zhang, Zihan Zhao, Yifan Shen, Peilin Ji, Juanjuan Li, Gang Wang, Wanpeng Ma:
Computational Experiments Meet Large Language Model Based Agents: A Survey and Perspective. CoRR abs/2402.00262 (2024) - [i30]Linhai Zhang, Jialong Wu, Deyu Zhou, Guoqiang Xu:
STAR: Constraint LoRA with Dynamic Active Learning for Data-Efficient Fine-Tuning of Large Language Models. CoRR abs/2403.01165 (2024) - [i29]Jialong Wu, Linhai Zhang, Deyu Zhou, Guoqiang Xu:
DINER: Debiasing Aspect-based Sentiment Analysis with Multi-variable Causal Inference. CoRR abs/2403.01166 (2024) - [i28]Congzhi Zhang, Linhai Zhang, Deyu Zhou:
Causal Walk: Debiasing Multi-Hop Fact Verification with Front-Door Adjustment. CoRR abs/2403.02698 (2024) - [i27]Congzhi Zhang, Linhai Zhang, Deyu Zhou, Guoqiang Xu:
Causal Prompting: Debiasing Large Language Model Prompting based on Front-Door Adjustment. CoRR abs/2403.02738 (2024) - [i26]Xin Zhang, Linhai Zhang, Deyu Zhou, Guoqiang Xu:
Fine-grainedly Synthesize Streaming Data Based On Large Language Models With Graph Structure Understanding For Data Sparsity. CoRR abs/2403.06139 (2024) - [i25]Yanyue Zhang, Pengfei Li, Yilong Lai, Deyu Zhou, Yulan He:
Large, Small or Both: A Novel Data Augmentation Framework Based on Language Models for Debiasing Opinion Summarization. CoRR abs/2403.07693 (2024) - [i24]Zhenglin Wang, Jialong Wu, Yilong Lai, Congzhi Zhang, Deyu Zhou:
SEED: Accelerating Reasoning Tree Construction via Scheduled Speculative Decoding. CoRR abs/2406.18200 (2024) - [i23]Yilong Lai, Jialong Wu, Congzhi Zhang, Haowen Sun, Deyu Zhou:
AdaCQR: Enhancing Query Reformulation for Conversational Search via Sparse and Dense Retrieval Alignment. CoRR abs/2407.01965 (2024) - [i22]Jiasheng Si, Yibo Zhao, Yingjie Zhu, Haiyang Zhu, Wenpeng Lu, Deyu Zhou:
CHECKWHY: Causal Fact Verification via Argument Structure. CoRR abs/2408.10918 (2024) - [i21]Jialong Wu, Zhenglin Wang, Linhai Zhang, Yilong Lai, Yulan He, Deyu Zhou:
SCOPE: Optimizing Key-Value Cache Compression in Long-context Generation. CoRR abs/2412.13649 (2024) - 2023
- [j34]Jiasheng Si, Liu Sun, Deyu Zhou, Jie Ren, Lin Li:
Biomedical Argument Mining Based on Sequential Multi-Task Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 20(2): 864-874 (2023) - [j33]Xiao Xue, Deyu Zhou, Fangyi Chen, Xiangning Yu, Zhiyong Feng, Yucong Duan, Lin Meng, Mu Zhang:
From SOA to VOA: A Shift in Understanding the Operation and Evolution of Service Ecosystem. IEEE Trans. Serv. Comput. 16(1): 315-329 (2023) - [c54]Jiasheng Si, Yingjie Zhu, Deyu Zhou:
Exploring Faithful Rationale for Multi-Hop Fact Verification via Salience-Aware Graph Learning. AAAI 2023: 13573-13581 - [c53]Yanzheng Xiang, Qian-Wen Zhang, Xu Zhang, Zejie Liu, Yunbo Cao, Deyu Zhou:
G³R: A Graph-Guided Generate-and-Rerank Framework for Complex and Cross-domain Text-to-SQL Generation. ACL (Findings) 2023: 338-352 - [c52]Yuanyuan Xu, Zeng Yang, Linhai Zhang, Deyu Zhou, Tiandeng Wu, Rong Zhou:
Focusing, Bridging and Prompting for Few-shot Nested Named Entity Recognition. ACL (Findings) 2023: 2621-2637 - [c51]Linhai Zhang, Congzhi Zhang, Deyu Zhou:
Multi-Relational Probabilistic Event Representation Learning via Projected Gaussian Embedding. ACL (Findings) 2023: 6162-6174 - [c50]Yanyue Zhang, Deyu Zhou:
Disentangling Text Representation With Counter-Template For Unsupervised Opinion Summarization. ACL (Findings) 2023: 6344-6357 - [c49]Boyu Wang, Linhai Zhang, Deyu Zhou, Yi Cao, Jiandong Ding:
Neural Topic Modeling based on Cycle Adversarial Training and Contrastive Learning. ACL (Findings) 2023: 9720-9731 - [c48]Xin Zhang, Linhai Zhang, Deyu Zhou:
Sentiment Analysis on Streaming User Reviews via Dual-Channel Dynamic Graph Neural Network. EMNLP 2023: 7208-7220 - [c47]Yingjie Zhu, Jiasheng Si, Yibo Zhao, Haiyang Zhu, Deyu Zhou, Yulan He:
EXPLAIN, EDIT, GENERATE: Rationale-Sensitive Counterfactual Data Augmentation for Multi-hop Fact Verification. EMNLP 2023: 13377-13392 - [c46]Zhentao Yu, Zixin Yin, Deyu Zhou, Duomin Wang, Finn Wong, Baoyuan Wang:
Talking Head Generation with Probabilistic Audio-to-Visual Diffusion Priors. ICCV 2023: 7611-7621 - [i20]Jiasheng Si, Yingjie Zhu, Deyu Zhou:
Consistent Multi-Granular Rationale Extraction for Explainable Multi-hop Fact Verification. CoRR abs/2305.09400 (2023) - [i19]Chenduo Hao, Xu Zhang, Chuanbao Gao, Deyu Zhou:
Feature Representation Learning for NL2SQL Generation Based on Coupling and Decoupling. CoRR abs/2306.17646 (2023) - [i18]Jiasheng Si, Yingjie Zhu, Xingyu Shi, Deyu Zhou, Yulan He:
Explainable Topic-Enhanced Argument Mining from Heterogeneous Sources. CoRR abs/2307.12131 (2023) - [i17]Yingjie Zhu, Jiasheng Si, Yibo Zhao, Haiyang Zhu, Deyu Zhou, Yulan He:
EXPLAIN, EDIT, GENERATE: Rationale-Sensitive Counterfactual Data Augmentation for Multi-hop Fact Verification. CoRR abs/2310.14508 (2023) - 2022
- [j32]Xiao Xue, Guanding Li, Deyu Zhou, Yepeng Zhang, Lu Zhang, Yang Zhao, Zhiyong Feng, Lizhen Cui, Zhangbing Zhou, Xiao Sun, Xudong Lu, Shizhan Chen:
Research Roadmap of Service Ecosystems: A Crowd Intelligence Perspective. Int. J. Crowd Sci. 6(4): 195-222 (2022) - [j31]Keqin Peng, Chuantao Yin, Wenge Rong, Chenghua Lin, Deyu Zhou, Zhang Xiong:
Named Entity Aware Transfer Learning for Biomedical Factoid Question Answering. IEEE ACM Trans. Comput. Biol. Bioinform. 19(4): 2365-2376 (2022) - [j30]Xiao Xue, Fangyi Chen, Deyu Zhou, Xiao Wang, Min Lu, Fei-Yue Wang:
Computational Experiments for Complex Social Systems - Part I: The Customization of Computational Model. IEEE Trans. Comput. Soc. Syst. 9(5): 1330-1344 (2022) - [j29]Deyu Zhou, Xiao Xue, Zhangbing Zhou:
SLE2: The Improved Social Learning Evolution Model of Cloud Manufacturing Service Ecosystem. IEEE Trans. Ind. Informatics 18(12): 9017-9026 (2022) - [c45]Tao Wang, Linhai Zhang, Chenchen Ye, Junxi Liu, Deyu Zhou:
A Novel Framework Based on Medical Concept Driven Attention for Explainable Medical Code Prediction via External Knowledge. ACL (Findings) 2022: 1407-1416 - [c44]Linhai Zhang, Xuemeng Hu, Boyu Wang, Deyu Zhou, Qian-Wen Zhang, Yunbo Cao:
Pre-training and Fine-tuning Neural Topic Model: A Simple yet Effective Approach to Incorporating External Knowledge. ACL (1) 2022: 5980-5989 - [c43]Xu Zhang, Zejie Liu, Yanzheng Xiang, Deyu Zhou:
Complicate Then Simplify: A Novel Way to Explore Pre-trained Models for Text Classification. COLING 2022: 1136-1145 - [c42]Zeng Yang, Linhai Zhang, Deyu Zhou:
SEE-Few: Seed, Expand and Entail for Few-shot Named Entity Recognition. COLING 2022: 2540-2550 - [c41]Linhai Zhang, Deyu Zhou:
Temporal Knowledge Graph Completion with Approximated Gaussian Process Embedding. COLING 2022: 4697-4706 - [c40]Zejie Liu, Xiaoyu Hu, Deyu Zhou, Lin Li, Xu Zhang, Yanzheng Xiang:
Code Generation From Flowcharts with Texts: A Benchmark Dataset and An Approach. EMNLP (Findings) 2022: 6069-6077 - [i16]Xiao Xue, Xiang-Ning Yu, Deyu Zhou, Xiao Wang, Zhang-Bin Zhou, Fei-Yue Wang:
Computational Experiments: Past, Present and Future. CoRR abs/2202.13690 (2022) - [i15]Zeng Yang, Linhai Zhang, Deyu Zhou:
SEE-Few: Seed, Expand and Entail for Few-shot Named Entity Recognition. CoRR abs/2210.05632 (2022) - [i14]Jiasheng Si, Yingjie Zhu, Deyu Zhou:
Exploring Faithful Rationale for Multi-hop Fact Verification via Salience-Aware Graph Learning. CoRR abs/2212.01060 (2022) - [i13]Zhentao Yu, Zixin Yin, Deyu Zhou, Duomin Wang, Finn Wong, Baoyuan Wang:
Talking Head Generation with Probabilistic Audio-to-Visual Diffusion Priors. CoRR abs/2212.04248 (2022) - 2021
- [j28]Deyu Zhou, Jiale Yuan, Jiasheng Si:
Health issue identification in social media based on multi-task hierarchical neural networks with topic attention. Artif. Intell. Medicine 118: 102119 (2021) - [j27]Linhai Zhang, Chao Lin, Deyu Zhou, Yulan He, Meng Zhang:
A Bayesian end-to-end model with estimated uncertainties for simple question answering over knowledge bases. Comput. Speech Lang. 66: 101167 (2021) - [j26]Deyu Zhou, Meng Zhang, Yang Yang, Yulan He:
Hierarchical state recurrent neural network for social emotion ranking. Comput. Speech Lang. 68: 101177 (2021) - [j25]Jiasheng Si, Linsen Guo, Deyu Zhou:
Unsupervised latent event representation learning and storyline extraction from news articles based on neural networks. Intell. Data Anal. 25(3): 589-603 (2021) - [j24]Deyu Zhou, Kai Sun, Mingqi Hu, Yulan He:
Image generation from text with entity information fusion. Knowl. Based Syst. 227: 107200 (2021) - [c39]Linhai Zhang, Deyu Zhou, Yulan He, Zeng Yang:
MERL: Multimodal Event Representation Learning in Heterogeneous Embedding Spaces. AAAI 2021: 14420-14427 - [c38]Deyu Zhou, Meng Zhang, Linhai Zhang, Yulan He:
A Neural Group-wise Sentiment Analysis Model with Data Sparsity Awareness. AAAI 2021: 14594-14601 - [c37]Lixing Zhu, Gabriele Pergola, Lin Gui, Deyu Zhou, Yulan He:
Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection. ACL/IJCNLP (1) 2021: 1571-1582 - [c36]Jiasheng Si, Deyu Zhou, Tongzhe Li, Xingyu Shi, Yulan He:
Topic-Aware Evidence Reasoning and Stance-Aware Aggregation for Fact Verification. ACL/IJCNLP (1) 2021: 1612-1622 - [c35]Chenchen Ye, Linhai Zhang, Yulan He, Deyu Zhou, Jie Wu:
Beyond Text: Incorporating Metadata and Label Structure for Multi-Label Document Classification using Heterogeneous Graphs. EMNLP (1) 2021: 3162-3171 - [c34]Linhai Zhang, Deyu Zhou, Chao Lin, Yulan He:
A Multi-label Multi-hop Relation Detection Model based on Relation-aware Sequence Generation. EMNLP (Findings) 2021: 4713-4719 - [c33]Deyu Zhou, Yanzheng Xiang, Linhai Zhang, Chenchen Ye, Qian-Wen Zhang, Yunbo Cao:
A Divide-And-Conquer Approach for Multi-label Multi-hop Relation Detection in Knowledge Base Question Answering. EMNLP (Findings) 2021: 4798-4808 - [c32]Deyu Zhou, Jianan Wang, Linhai Zhang, Yulan He:
Implicit Sentiment Analysis with Event-centered Text Representation. EMNLP (1) 2021: 6884-6893 - [i12]Rui Wang, Deyu Zhou, Yuxuan Xiong, Haiping Huang:
Variational Gaussian Topic Model with Invertible Neural Projections. CoRR abs/2105.10095 (2021) - [i11]Lixing Zhu, Gabriele Pergola, Lin Gui, Deyu Zhou, Yulan He:
Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection. CoRR abs/2106.01071 (2021) - [i10]Jiasheng Si, Deyu Zhou, Tongzhe Li, Xingyu Shi, Yulan He:
Topic-Aware Evidence Reasoning and Stance-Aware Aggregation for Fact Verification. CoRR abs/2106.01191 (2021) - 2020
- [j23]Linsen Guo, Deyu Zhou, Yulan He, Haiyang Xu:
Storyline extraction from news articles with dynamic dependency. Intell. Data Anal. 24(1): 183-197 (2020) - [j22]Rui Wang, Deyu Zhou, Yulan He:
Optimising topic coherence with Weighted Po'lya Urn scheme. Neurocomputing 385: 329-339 (2020) - [j21]Lixing Zhu, Yulan He, Deyu Zhou:
Neural opinion dynamics model for the prediction of user-level stance dynamics. Inf. Process. Manag. 57(2): 102031 (2020) - [j20]Lixing Zhu, Deyu Zhou, Yulan He:
A Neural Generative Model for Joint Learning Topics and Topic-Specific Word Embeddings. Trans. Assoc. Comput. Linguistics 8: 471-485 (2020) - [j19]Xinyi Yu, Wenge Rong, Jingshuang Liu, Deyu Zhou, Yuanxin Ouyang, Zhang Xiong:
LSTM-Based End-to-End Framework for Biomedical Event Extraction. IEEE ACM Trans. Comput. Biol. Bioinform. 17(6): 2029-2039 (2020) - [c31]Rui Wang, Xuemeng Hu, Deyu Zhou, Yulan He, Yuxuan Xiong, Chenchen Ye, Haiyang Xu:
Neural Topic Modeling with Bidirectional Adversarial Training. ACL 2020: 340-350 - [c30]Lixing Zhu, Yulan He, Deyu Zhou:
Neural Temporal Opinion Modelling for Opinion Prediction on Twitter. ACL 2020: 3804-3810 - [c29]Deyu Zhou, Shuangzhi Wu, Qing Wang, Jun Xie, Zhaopeng Tu, Mu Li:
Emotion Classification by Jointly Learning to Lexiconize and Classify. COLING 2020: 3235-3245 - [c28]Deyu Zhou, Xuemeng Hu, Rui Wang:
Neural Topic Modeling by Incorporating Document Relationship Graph. EMNLP (1) 2020: 3790-3796 - [c27]Xuemeng Hu, Rui Wang, Deyu Zhou, Yuxuan Xiong:
Neural Topic Modeling with Cycle-Consistent Adversarial Training. EMNLP (1) 2020: 9018-9030 - [i9]Rui Wang, Xuemeng Hu, Deyu Zhou, Yulan He, Yuxuan Xiong, Chenchen Ye, Haiyang Xu:
Neural Topic Modeling with Bidirectional Adversarial Training. CoRR abs/2004.12331 (2020) - [i8]Lixing Zhu, Yulan He, Deyu Zhou:
Neural Temporal Opinion Modelling for Opinion Prediction on Twitter. CoRR abs/2005.13486 (2020) - [i7]Xiao Xue, Deyu Zhou, Yaodan Guo, Zhiyong Feng, Lejun Zhang, Lin Meng:
Value driven Analysis Framework of Service Ecosystem Evolution Mechanism. CoRR abs/2008.01055 (2020) - [i6]Lixing Zhu, Yulan He, Deyu Zhou:
A Neural Generative Model for Joint Learning Topics and Topic-Specific Word Embeddings. CoRR abs/2008.04702 (2020) - [i5]Xuemeng Hu, Rui Wang, Deyu Zhou, Yuxuan Xiong:
Neural Topic Modeling with Cycle-Consistent Adversarial Training. CoRR abs/2009.13971 (2020) - [i4]Deyu Zhou, Xuemeng Hu, Rui Wang:
Neural Topic Modeling by Incorporating Document Relationship Graph. CoRR abs/2009.13972 (2020)
2010 – 2019
- 2019
- [j18]Rui Wang, Deyu Zhou, Mingmin Jiang, Jiasheng Si, Yang Yang:
A Survey on Opinion Mining: From Stance to Product Aspect. IEEE Access 7: 41101-41124 (2019) - [j17]Lixing Zhu, Yulan He, Deyu Zhou:
Hierarchical viewpoint discovery from tweets using Bayesian modelling. Expert Syst. Appl. 116: 430-438 (2019) - [j16]Rui Wang, Deyu Zhou, Yulan He:
ATM: Adversarial-neural Topic Model. Inf. Process. Manag. 56(6) (2019) - [j15]Donglei Tang, Zhikai Zhang, Yulan He, Chao Lin, Deyu Zhou:
Hidden topic-emotion transition model for multi-level social emotion detection. Knowl. Based Syst. 164: 426-435 (2019) - [c26]Mingqi Hu, Deyu Zhou, Yulan He:
Variational Conditional GAN for Fine-grained Controllable Image Generation. ACML 2019: 109-124 - [c25]Yang Yang, Deyu Zhou, Yulan He, Meng Zhang:
Interpretable Relevant Emotion Ranking with Event-Driven Attention. EMNLP/IJCNLP (1) 2019: 177-187 - [c24]Rui Wang, Deyu Zhou, Yulan He:
Open Event Extraction from Online Text using a Generative Adversarial Network. EMNLP/IJCNLP (1) 2019: 282-291 - [c23]Zhaoyue Sun, Jiaze Chen, Hao Zhou, Deyu Zhou, Lei Li, Mingmin Jiang:
GraspSnooker: Automatic Chinese Commentary Generation for Snooker Videos. IJCAI 2019: 6569-6571 - [i3]Rui Wang, Deyu Zhou, Yulan He:
Open Event Extraction from Online Text using a Generative Adversarial Network. CoRR abs/1908.09246 (2019) - [i2]Mingqi Hu, Deyu Zhou, Yulan He:
Variational Conditional GAN for Fine-grained Controllable Image Generation. CoRR abs/1909.09979 (2019) - 2018
- [j14]Deyu Zhou, Lei Miao, Yulan He:
Position-aware deep multi-task learning for drug-drug interaction extraction. Artif. Intell. Medicine 87: 1-8 (2018) - [j13]Deyu Zhou, Zhikai Zhang, Min-Ling Zhang, Yulan He:
Weakly Supervised POS Tagging without Disambiguation. ACM Trans. Asian Low Resour. Lang. Inf. Process. 17(4): 35:1-35:19 (2018) - [c22]Yang Yang, Deyu Zhou, Yulan He:
An Interpretable Neural Network with Topical Information for Relevant Emotion Ranking. EMNLP 2018: 3423-3432 - [c21]Deyu Zhou, Yang Yang, Yulan He:
Relevant Emotion Ranking from Text Constrained with Emotion Relationships. NAACL-HLT 2018: 561-571 - [c20]Deyu Zhou, Linsen Guo, Yulan He:
Neural Storyline Extraction Model for Storyline Generation from News Articles. NAACL-HLT 2018: 1727-1736 - [i1]Rui Wang, Deyu Zhou, Yulan He:
ATM: Adversarial-neural Topic Model. CoRR abs/1811.00265 (2018) - 2017
- [j12]Deyu Zhou, Liangyu Chen, Xuan Zhang, Yulan He:
Unsupervised event exploration from social text streams. Intell. Data Anal. 21(4): 849-866 (2017) - [c19]Deyu Zhou, Xuan Zhang, Yulan He:
Event extraction from Twitter using Non-Parametric Bayesian Mixture Model with Word Embeddings. EACL (1) 2017: 808-817 - 2016
- [c18]Deyu Zhou, Tianmeng Gao, Yulan He:
Jointly Event Extraction and Visualization on Twitter via Probabilistic Modelling. ACL (1) 2016 - [c17]Deyu Zhou, Xuan Zhang, Yin Zhou, Quan Zhao, Xin Geng:
Emotion Distribution Learning from Texts. EMNLP 2016: 638-647 - [c16]Xu Yang, Xin Geng, Deyu Zhou:
Sparsity Conditional Energy Label Distribution Learning for Age Estimation. IJCAI 2016: 2259-2265 - [c15]Deyu Zhou, Haiyang Xu, Xin-Yu Dai, Yulan He:
Unsupervised Storyline Extraction from News Articles. IJCAI 2016: 3014-3021 - 2015
- [j11]Deyu Zhou, Dayou Zhong:
A semi-supervised learning framework for biomedical event extraction based on hidden topics. Artif. Intell. Medicine 64(1): 51-58 (2015) - [c14]Deyu Zhou, Liangyu Chen, Yulan He:
An Unsupervised Framework of Exploring Events on Twitter: Filtering, Extraction and Categorization. AAAI 2015: 2468-2475 - [c13]Deyu Zhou, Haiyang Xu, Yulan He:
An Unsupervised Bayesian Modelling Approach for Storyline Detection on News Articles. EMNLP 2015: 1943-1948 - 2014
- [j10]Deyu Zhou, Dayou Zhong, Yulan He:
Event trigger identification for biomedical events extraction using domain knowledge. Bioinform. 30(11): 1587-1594 (2014) - [j9]Deyu Zhou, Dayou Zhong, Yulan He:
Biomedical Relation Extraction: From Binary to Complex. Comput. Math. Methods Medicine 2014: 298473:1-298473:18 (2014) - [c12]Deyu Zhou, Liangyu Chen, Yulan He:
A Simple Bayesian Modelling Approach to Event Extraction from Twitter. ACL (2) 2014: 700-705 - 2012
- [j8]Dafeng Chen, Deyu Zhou, Yuliang Zhuang:
Analyzing ChIP-seq Data based on Multiple Knowledge Sources for Histone Modification. J. Softw. 7(12): 2755-2762 (2012) - 2011
- [j7]Deyu Zhou, Yulan He:
Biomedical events extraction using the hidden vector state model. Artif. Intell. Medicine 53(3): 205-213 (2011) - [j6]Yulan He, Deyu Zhou:
Self-training from labeled features for sentiment analysis. Inf. Process. Manag. 47(4): 606-616 (2011) - [c11]Deyu Zhou, Yulan He:
A novel framework of training hidden markov support vector machines from lightly-annotated data. CIKM 2011: 2025-2028 - [c10]Deyu Zhou, Yulan He:
Learning Conditional Random Fields from Unaligned Data for Natural Language Understanding. ECIR 2011: 283-288 - [c9]Deyu Zhou, Yulan He:
Semantic Parsing for Biomedical Event Extraction. IWCS 2011 - 2010
- [c8]Yulan He, Harith Alani, Deyu Zhou:
Exploring English Lexicon Knowledge for Chinese Sentiment Analysis. CIPS-SIGHAN 2010
2000 – 2009
- 2009
- [j5]Deyu Zhou, Yulan He:
Discriminative Training of the Hidden Vector State Model for Semantic Parsing. IEEE Trans. Knowl. Data Eng. 21(1): 66-77 (2009) - 2008
- [j4]Deyu Zhou, Yulan He, Chee Keong Kwoh:
Extracting Protein-Protein Interactions from MEDLINE using the Hidden Vector State model. Int. J. Bioinform. Res. Appl. 4(1): 64-80 (2008) - [j3]Deyu Zhou, Yulan He:
Extracting interactions between proteins from the literature. J. Biomed. Informatics 41(2): 393-407 (2008) - [c7]Deyu Zhou, Yulan He:
Extracting Protein-Protein Interaction based on Discriminative Training of the Hidden Vector State Model. BioNLP 2008: 98-99 - [c6]Deyu Zhou, Yulan He:
A Hybrid Generative/Discriminative Framework to Train a Semantic Parser from an Un-annotated Corpus. COLING 2008: 1113-1120 - [c5]Yulan He, Keiichi Nakata, Deyu Zhou:
Ontology-Based Protein-Protein Interactions Extraction from Literature Using the Hidden Vector State Model. ICDM Workshops 2008: 736-743 - [p1]Deyu Zhou, Yulan He, Chee Keong Kwoh:
From Biomedical Literature to Knowledge: Mining Protein-Protein Interactions. Computational Intelligence in Biomedicine and Bioinformatics 2008: 397-421 - 2007
- [j2]Deyu Zhou, Yulan He, Chee Keong Kwoh:
Semi-supervised learning of the hidden vector state model for extracting protein-protein interactions. Artif. Intell. Medicine 41(3): 209-222 (2007) - [c4]Deyu Zhou, Yulan He, Chee Keong Kwoh:
Semi-supervised Learning of the Hidden Vector State Model for Protein-Protein Interactions Extraction. CIDM 2007: 674-680 - [c3]Deyu Zhou, Yulan He, Chee Keong Kwoh:
Training the Hidden Vector State Model from Un-annotated Corpus. International Conference on Computational Science (2) 2007: 378-385 - [c2]Deyu Zhou, Yulan He, Chee Keong Kwoh, Hao Wang:
Ant-MST: An Ant-Based Minimum Spanning Tree for Gene Expression Data Clustering. PRIB 2007: 198-205 - 2006
- [c1]Deyu Zhou, Yulan He, Chee Keong Kwoh:
Extracting Protein-Protein Interactions from the Literature Using the Hidden Vector State Model. International Conference on Computational Science (2) 2006: 718-725
1990 – 1999
- 1998
- [j1]Ben Y. Yu, Paul Tollver, Robert J. Runser, Kung-Li Deng, Deyu Zhou, Ivan Glesk, Paul R. Prucnal:
Packet-switched optical networks. IEEE Micro 18(1): 28-38 (1998)
Coauthor Index
[c66] [i37] [i34] [c59] [i25] [i21] [c47] [i18] [i17] [j27] [j26] [j24] [c39] [c38] [c37] [c36] [c35] [c34] [c32] [i11] [i10] [j23] [j22] [j21] [j20] [c31] [c30] [i9] [i8] [i6] [j17] [j16] [j15] [c26] [c25] [c24] [i3] [i2] [j14] [j13] [c22] [c21] [c20] [i1] [j12] [c19] [c18] [c15] [c14] [c13] [j10] [j9] [c12] [j7] [j6] [c11] [c10] [c9] [c8] [j5] [j4] [j3] [c7] [c6] [c5] [p1] [j2] [c4] [c3] [c2] [c1]
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