Deyu Zhou

According to our database, Deyu Zhou authored at least 117 papers between 1998 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Computational Experiments for Complex Social Systems: Integrated Design of Experiment System.

Xiao Xue, Xiangning Yu, Deyu Zhou, Xiao Wang, Chongke Bi, Shufang Wang, Fei-Yue Wang

IEEE CAA J. Autom. Sinica, May, 2024

Computational Experiments for Complex Social Systems - Part III: The Docking of Domain Models.

Xiao Xue, Xiangning Yu, Deyu Zhou, Chao Peng, Xiao Wang, Donghua Liu, Fei-Yue Wang

IEEE Trans. Comput. Soc. Syst., April, 2024

Computational Experiments for Complex Social Systems: Experiment Design and Generative Explanation.

Xiao Xue, Deyu Zhou, Xiangning Yu, Gang Wang, Juanjuan Li, Xia Xie, Lizhen Cui, Fei-Yue Wang

IEEE CAA J. Autom. Sinica, April, 2024

M2A: A model-agnostic and metadata-free adversarial framework for unsupervised opinion summarization.

Yanyue Zhang, Deyu Zhou, Zhenglin Wang, Yilong Lai

Comput. Speech Lang., March, 2024

Computational Experiments: A New Analysis Method for Cyber-Physical-Social Systems.

Xiao Xue, Yifan Shen, Xiangning Yu, Deyu Zhou, Xiao Wang, Gang Wang, Fei-Yue Wang

IEEE Trans. Syst. Man Cybern. Syst., February, 2024

Variational Gaussian topic model with invertible neural projections.

Rui Wang, Deyu Zhou, Yuxuan Xiong, Haiping Huang

Neural Comput. Appl., January, 2024

I²R: Intra and inter-modal representation learning for code search.

Xu Zhang, Yanzheng Xiang, Zejie Liu, Xiaoyu Hu, Deyu Zhou

Intell. Data Anal., 2024

HFD: Hierarchical feature decoupling for SQL generation from text.

Xu Zhang, Xiaoyu Hu, Zejie Liu, Yanzheng Xiang, Deyu Zhou

Intell. Data Anal., 2024

AdaCQR: Enhancing Query Reformulation for Conversational Search via Sparse and Dense Retrieval Alignment.

Yilong Lai, Jialong Wu, Congzhi Zhang, Haowen Sun, Deyu Zhou

CoRR, 2024

SEED: Accelerating Reasoning Tree Construction via Scheduled Speculative Decoding.

Zhenglin Wang, Jialong Wu, Yilong Lai, Congzhi Zhang, Deyu Zhou

CoRR, 2024

Large, Small or Both: A Novel Data Augmentation Framework Based on Language Models for Debiasing Opinion Summarization.

Yanyue Zhang, Pengfei Li, Yilong Lai, Deyu Zhou, Yulan He

CoRR, 2024

Fine-grainedly Synthesize Streaming Data Based On Large Language Models With Graph Structure Understanding For Data Sparsity.

Xin Zhang, Linhai Zhang, Deyu Zhou, Guoqiang Xu

CoRR, 2024

Causal Prompting: Debiasing Large Language Model Prompting based on Front-Door Adjustment.

Congzhi Zhang, Linhai Zhang, Deyu Zhou, Guoqiang Xu

CoRR, 2024

Computational Experiments Meet Large Language Model Based Agents: A Survey and Perspective.

Qun Ma, Xiao Xue, Deyu Zhou, Xiangning Yu, Donghua Liu, Xuwen Zhang, Zihan Zhao, Yifan Shen, Peilin Ji, Juanjuan Li, Gang Wang, Wanpeng Ma

CoRR, 2024

Beyond Traditional Metrics: The Power of Value Entropy in Multidimensional Evaluation of the Service Ecosystem.

Xiangning Yu, Xiao Xue, Deyu Zhou, Li Fang, Zhiyong Feng

Proceedings of the IEEE International Conference on Web Services, 2024

Denoising Rationalization for Multi-hop Fact Verification via Multi-granular Explainer.

Jiasheng Si, Yingjie Zhu, Wenpeng Lu, Deyu Zhou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Opinions Are Not Always Positive: Debiasing Opinion Summarization with Model-Specific and Model-Agnostic Methods.

Yanyue Zhang, Yilong Lai, Zhenglin Wang, Pengfei Li, Deyu Zhou, Yulan He

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

TECA: A Two-stage Approach with Controllable Attention Soft Prompt for Few-shot Nested Named Entity Recognition.

Yuanyuan Xu, Linhai Zhang, Deyu Zhou

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Reduce Redundancy Then Rerank: Enhancing Code Summarization with a Novel Pipeline Framework.

Xiaoyu Hu, Xu Zhang, Zexu Lin, Deyu Zhou

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

STAR: Constraint LoRA with Dynamic Active Learning for Data-Efficient Fine-Tuning of Large Language Models.

Linhai Zhang, Jialong Wu, Deyu Zhou, Guoqiang Xu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

CHECKWHY: Causal Fact Verification via Argument Structure.

Jiasheng Si, Yibo Zhao, Yingjie Zhu, Haiyang Zhu, Wenpeng Lu, Deyu Zhou

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

DINER: Debiasing Aspect-based Sentiment Analysis with Multi-variable Causal Inference.

Jialong Wu, Linhai Zhang, Deyu Zhou, Guoqiang Xu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Causal Walk: Debiasing Multi-Hop Fact Verification with Front-Door Adjustment.

Congzhi Zhang, Linhai Zhang, Deyu Zhou

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

From SOA to VOA: A Shift in Understanding the Operation and Evolution of Service Ecosystem.

Xiao Xue, Deyu Zhou, Fangyi Chen, Xiangning Yu, Zhiyong Feng, Yucong Duan, Lin Meng, Mu Zhang

IEEE Trans. Serv. Comput., 2023

Biomedical Argument Mining Based on Sequential Multi-Task Learning.

Jiasheng Si, Liu Sun, Deyu Zhou, Jie Ren, Lin Li

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Explainable Topic-Enhanced Argument Mining from Heterogeneous Sources.

Jiasheng Si, Yingjie Zhu, Xingyu Shi, Deyu Zhou, Yulan He

CoRR, 2023

Feature Representation Learning for NL2SQL Generation Based on Coupling and Decoupling.

Chenduo Hao, Xu Zhang, Chuanbao Gao, Deyu Zhou

CoRR, 2023

Consistent Multi-Granular Rationale Extraction for Explainable Multi-hop Fact Verification.

Jiasheng Si, Yingjie Zhu, Deyu Zhou

CoRR, 2023

Talking Head Generation with Probabilistic Audio-to-Visual Diffusion Priors.

Zhentao Yu, Zixin Yin, Deyu Zhou, Duomin Wang, Finn Wong, Baoyuan Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

EXPLAIN, EDIT, GENERATE: Rationale-Sensitive Counterfactual Data Augmentation for Multi-hop Fact Verification.

Yingjie Zhu, Jiasheng Si, Yibo Zhao, Haiyang Zhu, Deyu Zhou, Yulan He

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Sentiment Analysis on Streaming User Reviews via Dual-Channel Dynamic Graph Neural Network.

Xin Zhang, Linhai Zhang, Deyu Zhou

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Multi-Relational Probabilistic Event Representation Learning via Projected Gaussian Embedding.

Linhai Zhang, Congzhi Zhang, Deyu Zhou

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Disentangling Text Representation With Counter-Template For Unsupervised Opinion Summarization.

Yanyue Zhang, Deyu Zhou

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Focusing, Bridging and Prompting for Few-shot Nested Named Entity Recognition.

Yuanyuan Xu, Zeng Yang, Linhai Zhang, Deyu Zhou, Tiandeng Wu, Rong Zhou

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

G³R: A Graph-Guided Generate-and-Rerank Framework for Complex and Cross-domain Text-to-SQL Generation.

Yanzheng Xiang, Qian-Wen Zhang, Xu Zhang, Zejie Liu, Yunbo Cao, Deyu Zhou

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Neural Topic Modeling based on Cycle Adversarial Training and Contrastive Learning.

Boyu Wang, Linhai Zhang, Deyu Zhou, Yi Cao, Jiandong Ding

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Exploring Faithful Rationale for Multi-Hop Fact Verification via Salience-Aware Graph Learning.

Jiasheng Si, Yingjie Zhu, Deyu Zhou

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

SLE2: The Improved Social Learning Evolution Model of Cloud Manufacturing Service Ecosystem.

Deyu Zhou, Xiao Xue, Zhangbing Zhou

IEEE Trans. Ind. Informatics, 2022

Computational Experiments for Complex Social Systems - Part I: The Customization of Computational Model.

Xiao Xue, Fangyi Chen, Deyu Zhou, Xiao Wang, Min Lu, Fei-Yue Wang

IEEE Trans. Comput. Soc. Syst., 2022

Named Entity Aware Transfer Learning for Biomedical Factoid Question Answering.

Keqin Peng, Chuantao Yin, Wenge Rong, Chenghua Lin, Deyu Zhou, Zhang Xiong

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Research Roadmap of Service Ecosystems: A Crowd Intelligence Perspective.

Xiao Xue, Guanding Li, Deyu Zhou, Yepeng Zhang, Lu Zhang, Yang Zhao, Zhiyong Feng, Lizhen Cui, Zhangbing Zhou, Xiao Sun, Xudong Lu, Shizhan Chen

Int. J. Crowd Sci., 2022

Computational Experiments: Past, Present and Future.

Xiao Xue, Xiang-Ning Yu, Deyu Zhou, Xiao Wang, Zhang-Bin Zhou, Fei-Yue Wang

CoRR, 2022

Code Generation From Flowcharts with Texts: A Benchmark Dataset and An Approach.

Zejie Liu, Xiaoyu Hu, Deyu Zhou, Lin Li, Xu Zhang, Yanzheng Xiang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Temporal Knowledge Graph Completion with Approximated Gaussian Process Embedding.

Linhai Zhang, Deyu Zhou

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Complicate Then Simplify: A Novel Way to Explore Pre-trained Models for Text Classification.

Xu Zhang, Zejie Liu, Yanzheng Xiang, Deyu Zhou

Proceedings of the 29th International Conference on Computational Linguistics, 2022

SEE-Few: Seed, Expand and Entail for Few-shot Named Entity Recognition.

Zeng Yang, Linhai Zhang, Deyu Zhou

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Pre-training and Fine-tuning Neural Topic Model: A Simple yet Effective Approach to Incorporating External Knowledge.

Linhai Zhang, Xuemeng Hu, Boyu Wang, Deyu Zhou, Qian-Wen Zhang, Yunbo Cao

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

A Novel Framework Based on Medical Concept Driven Attention for Explainable Medical Code Prediction via External Knowledge.

Tao Wang, Linhai Zhang, Chenchen Ye, Junxi Liu, Deyu Zhou

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Image generation from text with entity information fusion.

Deyu Zhou, Kai Sun, Mingqi Hu, Yulan He

Knowl. Based Syst., 2021

Unsupervised latent event representation learning and storyline extraction from news articles based on neural networks.

Jiasheng Si, Linsen Guo, Deyu Zhou

Intell. Data Anal., 2021

Hierarchical state recurrent neural network for social emotion ranking.

Deyu Zhou, Meng Zhang, Yang Yang, Yulan He

Comput. Speech Lang., 2021

A Bayesian end-to-end model with estimated uncertainties for simple question answering over knowledge bases.

Linhai Zhang, Chao Lin, Deyu Zhou, Yulan He, Meng Zhang

Comput. Speech Lang., 2021

Health issue identification in social media based on multi-task hierarchical neural networks with topic attention.

Deyu Zhou, Jiale Yuan, Jiasheng Si

Artif. Intell. Medicine, 2021

A Divide-And-Conquer Approach for Multi-label Multi-hop Relation Detection in Knowledge Base Question Answering.

Deyu Zhou, Yanzheng Xiang, Linhai Zhang, Chenchen Ye, Qian-Wen Zhang, Yunbo Cao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Implicit Sentiment Analysis with Event-centered Text Representation.

Deyu Zhou, Jianan Wang, Linhai Zhang, Yulan He

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

A Multi-label Multi-hop Relation Detection Model based on Relation-aware Sequence Generation.

Linhai Zhang, Deyu Zhou, Chao Lin, Yulan He

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Beyond Text: Incorporating Metadata and Label Structure for Multi-Label Document Classification using Heterogeneous Graphs.

Chenchen Ye, Linhai Zhang, Yulan He, Deyu Zhou, Jie Wu

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection.

Lixing Zhu, Gabriele Pergola, Lin Gui, Deyu Zhou, Yulan He

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Topic-Aware Evidence Reasoning and Stance-Aware Aggregation for Fact Verification.

Jiasheng Si, Deyu Zhou, Tongzhe Li, Xingyu Shi, Yulan He

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

A Neural Group-wise Sentiment Analysis Model with Data Sparsity Awareness.

Deyu Zhou, Meng Zhang, Linhai Zhang, Yulan He

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

MERL: Multimodal Event Representation Learning in Heterogeneous Embedding Spaces.

Linhai Zhang, Deyu Zhou, Yulan He, Zeng Yang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

LSTM-Based End-to-End Framework for Biomedical Event Extraction.

Xinyi Yu, Wenge Rong, Jingshuang Liu, Deyu Zhou, Yuanxin Ouyang, Zhang Xiong

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

A Neural Generative Model for Joint Learning Topics and Topic-Specific Word Embeddings.

Lixing Zhu, Deyu Zhou, Yulan He

Trans. Assoc. Comput. Linguistics, 2020

Neural opinion dynamics model for the prediction of user-level stance dynamics.

Lixing Zhu, Yulan He, Deyu Zhou

Inf. Process. Manag., 2020

Optimising topic coherence with Weighted Po'lya Urn scheme.

Rui Wang, Deyu Zhou, Yulan He

Neurocomputing, 2020

Storyline extraction from news articles with dynamic dependency.

Linsen Guo, Deyu Zhou, Yulan He, Haiyang Xu

Intell. Data Anal., 2020

Value driven Analysis Framework of Service Ecosystem Evolution Mechanism.

Xiao Xue, Deyu Zhou, Yaodan Guo, Zhiyong Feng, Lejun Zhang, Lin Meng

CoRR, 2020

Neural Topic Modeling by Incorporating Document Relationship Graph.

Deyu Zhou, Xuemeng Hu, Rui Wang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Neural Topic Modeling with Cycle-Consistent Adversarial Training.

Xuemeng Hu, Rui Wang, Deyu Zhou, Yuxuan Xiong

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Emotion Classification by Jointly Learning to Lexiconize and Classify.

Deyu Zhou, Shuangzhi Wu, Qing Wang, Jun Xie, Zhaopeng Tu, Mu Li

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Neural Temporal Opinion Modelling for Opinion Prediction on Twitter.

Lixing Zhu, Yulan He, Deyu Zhou

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Neural Topic Modeling with Bidirectional Adversarial Training.

Rui Wang, Xuemeng Hu, Deyu Zhou, Yulan He, Yuxuan Xiong, Chenchen Ye, Haiyang Xu

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Hidden topic-emotion transition model for multi-level social emotion detection.

Donglei Tang, Zhikai Zhang, Yulan He, Chao Lin, Deyu Zhou

Knowl. Based Syst., 2019

ATM: Adversarial-neural Topic Model.

Rui Wang, Deyu Zhou, Yulan He

Inf. Process. Manag., 2019

Hierarchical viewpoint discovery from tweets using Bayesian modelling.

Lixing Zhu, Yulan He, Deyu Zhou

Expert Syst. Appl., 2019

A Survey on Opinion Mining: From Stance to Product Aspect.

Rui Wang, Deyu Zhou, Mingmin Jiang, Jiasheng Si, Yang Yang

IEEE Access, 2019

GraspSnooker: Automatic Chinese Commentary Generation for Snooker Videos.

Zhaoyue Sun, Jiaze Chen, Hao Zhou, Deyu Zhou, Lei Li, Mingmin Jiang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Interpretable Relevant Emotion Ranking with Event-Driven Attention.

Yang Yang, Deyu Zhou, Yulan He, Meng Zhang

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Open Event Extraction from Online Text using a Generative Adversarial Network.

Rui Wang, Deyu Zhou, Yulan He

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Variational Conditional GAN for Fine-grained Controllable Image Generation.

Mingqi Hu, Deyu Zhou, Yulan He

Proceedings of The 11th Asian Conference on Machine Learning, 2019

2018

Weakly Supervised POS Tagging without Disambiguation.

Deyu Zhou, Zhikai Zhang, Min-Ling Zhang, Yulan He

ACM Trans. Asian Low Resour. Lang. Inf. Process., 2018

Position-aware deep multi-task learning for drug-drug interaction extraction.

Deyu Zhou, Lei Miao, Yulan He

Artif. Intell. Medicine, 2018

Relevant Emotion Ranking from Text Constrained with Emotion Relationships.

Deyu Zhou, Yang Yang, Yulan He

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Neural Storyline Extraction Model for Storyline Generation from News Articles.

Deyu Zhou, Linsen Guo, Yulan He

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

An Interpretable Neural Network with Topical Information for Relevant Emotion Ranking.

Yang Yang, Deyu Zhou, Yulan He

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

Unsupervised event exploration from social text streams.

Deyu Zhou, Liangyu Chen, Xuan Zhang, Yulan He

Intell. Data Anal., 2017

Event extraction from Twitter using Non-Parametric Bayesian Mixture Model with Word Embeddings.

Deyu Zhou, Xuan Zhang, Yulan He

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2016

Unsupervised Storyline Extraction from News Articles.

Deyu Zhou, Haiyang Xu, Xin-Yu Dai, Yulan He

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Sparsity Conditional Energy Label Distribution Learning for Age Estimation.

Xu Yang, Xin Geng, Deyu Zhou

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Emotion Distribution Learning from Texts.

Deyu Zhou, Xuan Zhang, Yin Zhou, Quan Zhao, Xin Geng

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Jointly Event Extraction and Visualization on Twitter via Probabilistic Modelling.

Deyu Zhou, Tianmeng Gao, Yulan He

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

A semi-supervised learning framework for biomedical event extraction based on hidden topics.

Deyu Zhou, Dayou Zhong

Artif. Intell. Medicine, 2015

An Unsupervised Bayesian Modelling Approach for Storyline Detection on News Articles.

Deyu Zhou, Haiyang Xu, Yulan He

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

An Unsupervised Framework of Exploring Events on Twitter: Filtering, Extraction and Categorization.

Deyu Zhou, Liangyu Chen, Yulan He

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Biomedical Relation Extraction: From Binary to Complex.

Deyu Zhou, Dayou Zhong, Yulan He

Comput. Math. Methods Medicine, 2014

Event trigger identification for biomedical events extraction using domain knowledge.

Deyu Zhou, Dayou Zhong, Yulan He

Bioinform., 2014

A Simple Bayesian Modelling Approach to Event Extraction from Twitter.

Deyu Zhou, Liangyu Chen, Yulan He

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2012

Analyzing ChIP-seq Data based on Multiple Knowledge Sources for Histone Modification.

Dafeng Chen, Deyu Zhou, Yuliang Zhuang

J. Softw., 2012

2011

Self-training from labeled features for sentiment analysis.

Yulan He, Deyu Zhou

Inf. Process. Manag., 2011

Biomedical events extraction using the hidden vector state model.

Deyu Zhou, Yulan He

Artif. Intell. Medicine, 2011

Semantic Parsing for Biomedical Event Extraction.

Deyu Zhou, Yulan He

Proceedings of the Ninth International Conference on Computational Semantics, 2011

Learning Conditional Random Fields from Unaligned Data for Natural Language Understanding.

Deyu Zhou, Yulan He

Proceedings of the Advances in Information Retrieval, 2011

A novel framework of training hidden markov support vector machines from lightly-annotated data.

Deyu Zhou, Yulan He

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010

Exploring English Lexicon Knowledge for Chinese Sentiment Analysis.

Yulan He, Harith Alani, Deyu Zhou

Proceedings of the CIPS-SIGHAN Joint Conference on Chinese Language Processing, 2010

2009

Discriminative Training of the Hidden Vector State Model for Semantic Parsing.

Deyu Zhou, Yulan He

IEEE Trans. Knowl. Data Eng., 2009

2008

From Biomedical Literature to Knowledge: Mining Protein-Protein Interactions.

Deyu Zhou, Yulan He, Chee Keong Kwoh

Proceedings of the Computational Intelligence in Biomedicine and Bioinformatics, 2008

Extracting interactions between proteins from the literature.

Deyu Zhou, Yulan He

J. Biomed. Informatics, 2008

Extracting Protein-Protein Interactions from MEDLINE using the Hidden Vector State model.

Deyu Zhou, Yulan He, Chee Keong Kwoh

Int. J. Bioinform. Res. Appl., 2008

Ontology-Based Protein-Protein Interactions Extraction from Literature Using the Hidden Vector State Model.

Yulan He, Keiichi Nakata, Deyu Zhou

Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

A Hybrid Generative/Discriminative Framework to Train a Semantic Parser from an Un-annotated Corpus.

Deyu Zhou, Yulan He

Proceedings of the COLING 2008, 2008

Extracting Protein-Protein Interaction based on Discriminative Training of the Hidden Vector State Model.

Deyu Zhou, Yulan He

Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing, 2008

2007

Semi-supervised learning of the hidden vector state model for extracting protein-protein interactions.

Deyu Zhou, Yulan He, Chee Keong Kwoh

Artif. Intell. Medicine, 2007

Ant-MST: An Ant-Based Minimum Spanning Tree for Gene Expression Data Clustering.

Deyu Zhou, Yulan He, Chee Keong Kwoh, Hao Wang

Proceedings of the Pattern Recognition in Bioinformatics, 2007

Training the Hidden Vector State Model from Un-annotated Corpus.

Deyu Zhou, Yulan He, Chee Keong Kwoh

Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007

Semi-supervised Learning of the Hidden Vector State Model for Protein-Protein Interactions Extraction.

Deyu Zhou, Yulan He, Chee Keong Kwoh

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

2006

Extracting Protein-Protein Interactions from the Literature Using the Hidden Vector State Model.

Deyu Zhou, Yulan He, Chee Keong Kwoh

Proceedings of the Computational Science, 2006

1998

Packet-switched optical networks.

Ben Y. Yu, Paul Tollver, Robert J. Runser, Kung-Li Deng, Deyu Zhou, Ivan Glesk, Paul R. Prucnal

IEEE Micro, 1998