Deyu Zhou
Deyu Zhou
Professor, School of computer science and engineering, SEU
Verified email at - Homepage
Cited by
Cited by
Self-training from labeled features for sentiment analysis
Y He, D Zhou
Information Processing & Management 47 (4), 606-616, 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
Extracting interactions between proteins from the literature
D Zhou, Y He
Journal of biomedical informatics 41 (2), 393-407, 2008
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
Biomedical relation extraction: from binary to complex
D Zhou, D Zhong, Y He
Computational and mathematical methods in medicine 2014 (1), 298473, 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
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
Atm: Adversarial-neural topic model
R Wang, D Zhou, Y He
Information Processing & Management 56 (6), 102098, 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
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
Event trigger identification for biomedical events extraction using domain knowledge
D Zhou, D Zhong, Y He
Bioinformatics 30 (11), 1587-1594, 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
Open Event Extraction from Online Text using a Generative Adversarial Network
R Wang, D Zhou, Y He
EMNLP-IJCNLP 2019, 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
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
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
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
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
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
Discriminative training of the hidden vector state model for semantic parsing
D Zhou, Y He
IEEE Transactions on Knowledge and Data Engineering 21 (1), 66-77, 2008
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