Guangyou Zhou (周光有)

Ph.D., Assistant Professor

Chinese Information Processing Group,
National Laboratory of Pattern Recognition (NLPR),
Institute of Automation, Chinese Academy of Sciences

Office: Room 711, Intelligence Building
Address: 95 Zhongguancun East Road, Beijing, 100190, China
Phone: (86)-10-62612837
Email: gyzhou@nlpr.ia.ac.cn

Biography

Guangyou Zhou is an Assistant Professor in National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences. He received his Ph.D. degree in computer science from NLPR under the Supervion of Professor Jun Zhao. His research interests focus on natural language processing, information retrieval, Question Answering, and Social Media Analysis. He has published more than 10 papers in these fileds, and has widely published at highly ranked international conferences, such as ACL, IJCAI, CIKM, COLING. Now he has served as the reviewers of five international journals (e.g., ACM TKDD, ACM TALIP, etc.) and servious conferences (e.g., NAACL 2013, CIKM 2013, EMNLP 2013, WSDM 2014).

Research Interests

My research focuses on the natural language processing. Some topics of interest to me are:
  • Question Answering
  • Dependency Parsing
  • Cross-lingual Information Processing
  • Social Meida Analysis and Text Mining

Selected Publications

    Thesis

  • Guangyou Zhou. Research on Content Analysis and Behavior Modeling for Community Question Answering. Ph.D. Thesis. Institute of Automation, Chinese Academy of Sciences. 2012. [Full version will be available via email]
    2013

  • Guangyou Zhou and Jun Zhao. Toward Faster and Better Retrieval Models for Question Search. In Proceedings of CIKM 2013. (Full paper, accepted rate = 16.8%)

  • Guangyou Zhou, Fang Liu, Yang Liu, Shizhu He, and Jun Zhao. Statistical Machine Translation Improves Question Retrieval in Community Question Answering via Matrix Factorization. In Proceedings of ACL 2013. (Full paper)

  • Guangyou Zhou and Jun Zhao. Joint Inference for Heterogeneous Dependency Parsing. In Proceedings of ACL 2013. (Short paper)

  • Guangyou Zhou, Yang Liu, Fang Liu, Daojian Zeng, and Jun Zhao. Improving Question Retrieval in Community Question Answering Using World Knowledge. In Proceedings of IJCAI 2013. (Full paper, accepted rate = 28%)

    2012

  • Guangyou Zhou, Kang Liu, and Jun Zhao. Joint Relevance and Answer Quality Learning for Question Routing in Community QA. In Proceedings of CIKM 2012 . (Short paper, accepted rate (Full + short) = 27.7%)

  • Guangyou Zhou, Siwei Lai, Kang Liu, and Jun Zhao. Topic-Sensitive Probabilistic Model for Expert Finding in Question Answer Communities. In Proceedings of CIKM 2012. (Short paper, accepted rate (Full + short) = 27.7%)

  • Guangyou Zhou, Li Cai, Kang Liu, and Jun Zhao. Exploring the Existing Category Hierarchy to Automatically Label the Newly-arising Topics in cQA. In Proceedings of CIKM 2012. (the first author and the second author have equal contribution to this work) (Short paper, accepted rate (Full + short) = 27.7%)

  • Guangyou Zhou, Kang Liu, and Jun Zhao. Exploiting Bilingual Translation for Question Retrieval in Community-Based Question Answering. In Proceedings of COLING 2012. (Full paper, accepted rate = 25%)

    2011

  • Guangyou Zhou, Li Cai, Jun Zhao and Kang Liu. Phrase-Based Translation Model for Question Retrieval in Community Question Answer Archives. In Proceedings of ACL 2011. (Full paper, accepted rate = 18.3%)

  • Guangyou Zhou, Jun Zhao, Kang Liu, and Li Cai. Exploiting Web-Derived Selectional Preference to Improve Statistical Dependency Parsing. In Proceedings of ACL 2011. (Full paper, accepte rated = 18.3%)

  • Guangyou Zhou, Li Cai, Jun Zhao and Kang Liu. Improving Dependency Parsing with Fined-Grained Features. In Proceedings of IJCNLP 2011. (Full paper, accepted rate = 26%)

  • Li Cai, Guangyou Zhou, Jun Zhao and Kang Liu. Large-Scale Question Classification in cQA by Leveraging Wikipedia Semantic Knowledge. In Proceedings of CIKM 2011. (Full paper, accepted rate = 15%)

  • Li Cai, Guangyou Zhou, Jun Zhao and Kang Liu. Learning the Latent Topics for Question Retrieval in Community QA. In Proceedings of IJCNLP 2011. (Full paper, accepted rate = 26%)

Professional Activities

Useful Resources

  • NLP and related fields conferences:
    • Premier
      • ACL, SIGIR, AAAI, IJCAI, SIGKDD, WWW, ICML, NIPS
    • Leading
      • COLING, EMNLP, CIKM, ICDM, WSDM, NAACL
    • Others
      • IJCNLP, EACL, CoNLL, ECIR, AIRS
  • NLP and related fields journals:
Last Updated: June, 2013