Deyu Zhou

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Yulan HeProfessor, King's College London; Turing AI FellowVerified email at kcl.ac.uk
Linhai ZhangKing's College LondonVerified email at kcl.ac.uk
Rui WangNanjing University of Posts and Telecommunications, TExt Analytics and Mining (TEAM) Group @ NJUPTVerified email at njupt.edu.cn
Jiasheng SiQilu University of Technology (Shandong Academy of Sciences), ChinaVerified email at qlu.edu.cn
Lixing ZhuKing's College LondonVerified email at kcl.ac.uk
Haiyang XuAlibaba Group, DIDI AI LABS, SEUVerified email at seu.edu.cn
Xu Zhang (张旭)SEUVerified email at seu.edu.cn
Xin GengSchool of Computer Science and Engineering, Southeast UniversityVerified email at seu.edu.cn
Yanzheng Xiang (向彦铮)King's College LondonVerified email at kcl.ac.uk
Yingjie ZhuSoutheast UniversityVerified email at seu.edu.cn
Lin GuiAssistant Professor, King's College LondonVerified email at kcl.ac.uk
Wenge RongBeihang UniversityVerified email at buaa.edu.cn
Zeng YangSoutheast UniversityVerified email at seu.edu.cn
Yunbo CaoTencent CorporationVerified email at tencent.com
Zhijun ZhangShenzhen Institute of Advanced Technology, Chinese Academy of SciencesVerified email at siat.ac.cn
Min-Ling ZhangProfessor, School of Computer Science and Engineering, Southeast University, ChinaVerified email at seu.edu.cn
Qian-Wen Zhang腾讯科技Verified email at tencent.com
Xinyu DaiNanjing UniversityVerified email at nju.edu.cn
Jianfei SunSoutheast UniversityVerified email at seu.edu.cn
Keiichi NakataHenley Business School, University of ReadingVerified email at henley.ac.uk

Deyu Zhou

Professor, School of computer science and engineering, SEU

Verified email at seu.edu.cn - Homepage

natural language processing


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Self-training from labeled features for sentiment analysis Y He, D Zhou Information Processing & Management 47 (4), 606-616, 2011	268	2011
Emotion distribution learning from texts D Zhou, X Zhang, Y Zhou, Q Zhao, X Geng Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016	143	2016
Topic-driven and knowledge-aware transformer for dialogue emotion detection L Zhu, G Pergola, L Gui, D Zhou, Y He Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021	142	2021
Extracting interactions between proteins from the literature D Zhou, Y He Journal of biomedical informatics 41 (2), 393-407, 2008	132	2008
Biomedical relation extraction: from binary to complex D Zhou, D Zhong, Y He Computational and mathematical methods in medicine 2014 (1), 298473, 2014	119	2014
An unsupervised framework of exploring events on twitter: Filtering, extraction and categorization D Zhou, L Chen, Y He Proceedings of the AAAI conference on artificial intelligence 29 (1), 2015	106	2015
Atm: Adversarial-neural topic model R Wang, D Zhou, Y He Information Processing & Management 56 (6), 102098, 2019	93	2019
Neural Topic Modeling with Bidirectional Adversarial Training R Wang, X Hu, D Zhou, Y He, Y Xiong, C Ye, H Xu ACL 2020, 2020	90	2020
A survey on opinion mining: From stance to product aspect R Wang, D Zhou, M Jiang, J Si, Y Yang IEEE Access 7, 41101-41124, 2019	90	2019
Position-aware deep multi-task learning for drug–drug interaction extraction D Zhou, L Miao, Y He Artificial intelligence in medicine 87, 1-8, 2018	85	2018
Event trigger identification for biomedical events extraction using domain knowledge D Zhou, D Zhong, Y He Bioinformatics 30 (11), 1587-1594, 2014	78	2014
Potential value of plasma amyloid-β, total tau, and neurofilament light for identification of early Alzheimer’s disease Y Shi, X Lu, L Zhang, H Shu, L Gu, Z Wang, L Gao, J Zhu, H Zhang, ... ACS chemical neuroscience 10 (8), 3479-3485, 2019	61	2019
Open Event Extraction from Online Text using a Generative Adversarial Network R Wang, D Zhou, Y He EMNLP-IJCNLP 2019, 2019	50	2019
Neural opinion dynamics model for the prediction of user-level stance dynamics L Zhu, Y He, D Zhou Information Processing & Management 57 (2), 102031, 2020	45	2020
Multivariate machine learning analyses in identification of major depressive disorder using resting-state functional connectivity: A multicentral study Y Shi, L Zhang, Z Wang, X Lu, T Wang, D Zhou, Z Zhang ACS Chemical Neuroscience 12 (15), 2878-2886, 2021	43	2021
A semi-supervised learning framework for biomedical event extraction based on hidden topics D Zhou, D Zhong Artificial intelligence in medicine 64 (1), 51-58, 2015	43	2015
Hidden topic–emotion transition model for multi-level social emotion detection D Tang, Z Zhang, Y He, C Lin, D Zhou Knowledge-Based Systems 164, 426-435, 2019	39	2019
A simple bayesian modelling approach to event extraction from twitter D Zhou, L Chen, Y He the annual meeting of the Association for Computational Linguistics (ACL), 0, 2014	39	2014
Topic-aware evidence reasoning and stance-aware aggregation for fact verification J Si, D Zhou, T Li, X Shi, Y He Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021	38	2021
Relevant emotion ranking from text constrained with emotion relationships D Zhou, Y Yang, Y He NAACL, 561-571, 2018	37	2018

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