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Guodong Zhou

Guodong Zhou

D-Index & Metrics

Computer Science

D-Index
56
Citations
12340
World Ranking
4084
National Ranking
542

Overview

Guodong Zhou is affiliated with Soochow University in China and specializes primarily in the field of Computer Science, with a particular focus on Artificial Intelligence. Their scholarly output spans numerous subfields including Computer Vision and Pattern Recognition, Molecular Biology, Algebra and Number Theory, and Experimental and Cognitive Psychology.

Their research contributions cover a range of topics, notably Topic Modeling, Natural Language Processing Techniques, Sentiment Analysis and Opinion Mining, Advanced Text Analysis Techniques, Text Readability and Simplification, Text and Document Classification Technologies, and Advanced Topics in Algebra.

Guodong Zhou has published extensively across several venues, with the most publications appearing in arXiv (Cornell University). Additional frequent publication venues include ACM Transactions on Asian and Low-Resource Language Information Processing, Journal of Computer Science and Technology, Frontiers of Computer Science, and SSRN Electronic Journal.

Their recent papers include:

  • Multi-modal Graph Fusion for Named Entity Recognition with Targeted Visual Guidance, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • Joint Multi-modal Aspect-Sentiment Analysis with Auxiliary Cross-modal Relation Detection, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • Multi-modal Multi-label Emotion Recognition with Heterogeneous Hierarchical Message Passing, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • Sentiment Classification in Customer Service Dialogue with Topic-Aware Multi-Task Learning, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Opinion Target Extraction Using a Shallow Semantic Parsing Framework, 2021, Proceedings of the AAAI Conference on Artificial Intelligence

Frequent co-authors associated with Guodong Zhou include:

  • Shoushan Li
  • Zhongqing Wang
  • Longhua Qian
  • Qiaoming Zhu
  • Jinghang Gu

Best Publications

  • Named Entity Recognition using an HMM-based Chunk Tagger

    GuoDong Zhou;Jian Su

  • Exploring Various Knowledge in Relation Extraction

    GuoDong Zhou;Jian Su;Jie Zhang;Min Zhang

  • A Composite Kernel to Extract Relations between Entities with Both Flat and Structured Features

    Min Zhang;Jie Zhang;Jian Su;GuoDong Zhou

  • Recognizing names in biomedical texts: a machine learning approach

    Guodong Zhou;Jie Zhang;Jian Su;Dan Shen

  • Tree Kernel-Based Relation Extraction with Context-Sensitive Structured Parse Tree Information

    GuoDong Zhou;Min Zhang;DongHong Ji;QiaoMing Zhu

  • Flexible Organic/Inorganic Hybrid Near-Infrared Photoplethysmogram Sensor for Cardiovascular Monitoring.

    Huihua Xu;Jing Liu;Jie Zhang;Guodong Zhou

  • Multi-Criteria-based Active Learning for Named Entity Recognition

    Dan Shen;Jie Zhang;Jian Su;Guodong Zhou

  • Using Cross-Entity Inference to Improve Event Extraction

    Yu Hong;Jianfeng Zhang;Bin Ma;Jianmin Yao

  • Hidden Structure Ordering Along Backbone of Fused-Ring Electron Acceptors Enhanced by Ternary Bulk Heterojunction

    Jiangquan Mai;Yiqun Xiao;Guodong Zhou;Jiayu Wang

  • Coreference Resolution Using Competition Learning Approach

    Xiaofeng Yang;Guodong Zhou;Jian Su;Chew Lim Tan

  • Semi-supervised learning for imbalanced sentiment classification

    Shoushan Li;Zhongqing Wang;Guodong Zhou;Sophia Yat Mei Lee

  • Modeling both Context- and Speaker-Sensitive Dependence for Emotion Detection in Multi-speaker Conversations

    Dong Zhang;Liangqing Wu;Changlong Sun;Shoushan Li

  • Effective Adaptation of Hidden Markov Model-based Named Entity Recognizer for Biomedical Domain

    Dan Shen;Jie Zhang;Guodong Zhou;Jian Su

  • Exploiting Constituent Dependencies for Tree Kernel-Based Semantic Relation Extraction

    Longhua Qian;Guodong Zhou;Fang Kong;Qiaoming Zhu

  • Multi-modal Graph Fusion for Named Entity Recognition with Targeted Visual Guidance.

    Dong Zhang;Suzhong Wei;Shoushan Li;Hanqian Wu

  • Sentiment Classification and Polarity Shifting

    Shoushan Li;Sophia Y. M. Lee;Ying Chen;Chu-Ren Huang

  • Employing Personal/Impersonal Views in Supervised and Semi-Supervised Sentiment Classification

    Shoushan Li;Chu-Ren Huang;Guodong Zhou;Sophia Yat Mei Lee

  • Enhancing HMM-based biomedical named entity recognition by studying special phenomena

    Jie Zhang;Dan Shen;Guodong Zhou;Jian Su

  • Modeling Source Syntax for Neural Machine Translation.

    Junhui Li;Deyi Xiong;Zhaopeng Tu;Muhua Zhu

  • Recognition of protein/gene names from text using an ensemble of classifiers

    GuoDong Zhou;Dan Shen;Dan Shen;Jie Zhang;Jie Zhang;Jian Su

  • Ag-Doped Halide Perovskite Nanocrystals for Tunable Band Structure and Efficient Charge Transport

    Shu Zhou;Yaping Ma;Guodong Zhou;Xin Xu

Frequent Co-Authors

Jian Su
Jian Su Institute for Infocomm Research
Chew Lim Tan
Chew Lim Tan National University of Singapore
Ni Zhao
Ni Zhao Chinese University of Hong Kong
Chu-Ren Huang
Chu-Ren Huang Hong Kong Polytechnic University
Ching-Ping Wong
Ching-Ping Wong Georgia Institute of Technology
Hai Zhao
Hai Zhao Shanghai Jiao Tong University
Hon Ki Tsang
Hon Ki Tsang Chinese University of Hong Kong
Jianbin Xu
Jianbin Xu Chinese University of Hong Kong
Xinhui Lu
Xinhui Lu Chinese University of Hong Kong
Zhaopeng Tu
Zhaopeng Tu Tencent (China)

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