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2020 – today
- 2024
[j42]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)- [j41]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) - [j40]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) - [j39]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) - [j38]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) - [j37]Rui Wang, Deyu Zhou, Yuxuan Xiong, Haiping Huang:
Variational Gaussian topic model with invertible neural projections. Neural Comput. Appl. 36(2): 961-975 (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 - [i30]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) - [i29]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) - [i28]Jialong Wu, Linhai Zhang, Deyu Zhou, Guoqiang Xu:
DINER: Debiasing Aspect-based Sentiment Analysis with Multi-variable Causal Inference. CoRR abs/2403.01166 (2024) - [i27]Congzhi Zhang, Linhai Zhang, Deyu Zhou:
Causal Walk: Debiasing Multi-Hop Fact Verification with Front-Door Adjustment. CoRR abs/2403.02698 (2024) - [i26]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) - [i25]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) - [i24]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) - [i23]Zhenglin Wang, Jialong Wu, Yilong Lai, Congzhi Zhang, Deyu Zhou:
SEED: Accelerating Reasoning Tree Construction via Scheduled Speculative Decoding. CoRR abs/2406.18200 (2024) - [i22]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) - [i21]Jiasheng Si, Yibo Zhao, Yingjie Zhu, Haiyang Zhu, Wenpeng Lu, Deyu Zhou:
CHECKWHY: Causal Fact Verification via Argument Structure. CoRR abs/2408.10918 (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]