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2020 – today
- 2023
[j33]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)- [j32]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) - [i17]Jiasheng Si, Yingjie Zhu, Deyu Zhou:
Consistent Multi-Granular Rationale Extraction for Explainable Multi-hop Fact Verification. CoRR abs/2305.09400 (2023) - 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
[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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