Hou Pong CHAN, Ken陳浩邦
Visiting Lecturer (UM Macao Fellow)

Academic Qualifications | Research | Honors/Awards | Publications | Contact Details

Academic Qualification

  • Ph.D. in Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong (2020)
  • B.Eng. in Information Engineering, The Chinese University of Hong Kong, Hong Kong (2014)

Research

Research Interests

  • Text summarization, natural language processing, reinforcement learning, and machine learning.

Honors/Awards

  • The Best Teaching Assistant Award, Department of CSE, CUHK, 2017 and 2018
  • Postgraduate Scholarship, Macau SAR Government, 2015
  • Innovation and Technology Project Competition, Merit Award, HKEIA, 2014
  • Dean’s List, New Asia College, CUHK, 2014
  • Dean’s List, Faculty of Engineering, CUHK, 2013 and 2014
  • Hong Kong SAR Government Scholarship, 2011

Publications

  1. A Unified Dual-view Model for Review Summarization and Sentiment Classification with Inconsistency Loss
    Hou Pong Chan*, Wang Chen*, and Irwin King. * indicates equal contributions
    Proceedings of the 43th Conference of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020.
  2. Exclusive Hierarchical Decoding for Deep Keyphrase Generation
    Wang Chen, Hou Pong Chan, Piji Li, and Irwin King.
    Proceedings of the 58th Conference of the Association for Computational Linguistics (ACL), 2020.
  3. Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards
    Hou Pong Chan, Wang Chen, Lu Wang, and Irwin King.
    Proceedings of the 57th Conference of the Association for Computational Linguistics (ACL), 2019.
  4. Topic-Aware Neural Keyphrase Generation for Social Media Language
    Yue Wang, Jing Li, Hou Pong Chan, Irwin King, Michael R. Lyu, and Shuming Shi.
    Proceedings of the 57th Conference of the Association for Computational Linguistics (ACL), 2019.
  5. An Integrated Approach for Keyphrase Generation via Exploring the Power of Retrieval and Extraction
    Wang Chen, Hou Pong Chan, Piji Li, Lidong Bing, and Irwin King.
    Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2019.
  6. Thread Popularity Prediction and Tracking with a Permutation-invariant Model
    Hou Pong Chan and Irwin King.
    Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2018.
  7. Leveraging Social Connections to Improve Peer Assessment in MOOCs
    Hou Pong Chan and Irwin King.
    Proceedings of the 26th International Conference on World Wide Web Companion, Digital Learning Track (WWW), 2017.

Contact Details

Faculty of Science and Technology
University of Macau, E11
Avenida da Universidade, Taipa,
Macau, China

Room: E11-4008
Telephone: (853) 8822-8755
Fax: (853) 8822-2426
Email: hpchan