Tianqing Fang

I’m a 4-th year Ph.D. student at the Department of Computer Science and Engineering in Hong Kong University of Science and Technology, supervised by Prof. Yangqiu Song, and is now a visiting research scholar at University of Southern California, working with Prof. Muhao Chen. I received my B.E. degree from Zhejiang University in 2019, supervised by Prof. Yang Yang. Here is my Curriculum Vitae (Oct 2022).

Research Interest

  • Natural Language Processing
  • Commonsense Knowledge: Acquisition and Reasoning
  • Semi/weakly-supervised Learning, Data Augmentation in NLP
  • Information Extraction



  • Tianqing Fang, Wenxuan Zhou, Fangyu Liu, Hongming Zhang, Yangqiu Song, and Muhao Chen.
    On-the-fly Denoising for Data Augmentation in Natural Language Understanding 2022.

  • Mutian He, Tianqing Fang, Weiqi Wang, and Yangqiu Song.
    Acquiring and Modelling Abstract Commonsense Knowledge via Conceptualization. 2022.
    [paper] [code]



  • Hongming Zhang*, Xin Liu*, Haojie Pan*, Haowen Ke, Jiefu Ou, Tianqing Fang, and Yangqiu Song.
    ASER: Towards Large-scale Commonsense Knowledge Acquisition via Higher-order Selectional Preference over Eventualities.
    Artificial Intelligence, 2022. [paper] [arxiv] [code] [homepage]



  • Tianqing Fang, Quyet V. Do, Hongming Zhang, Yangqiu Song, Ginny Y. Wong and Simon See.
    PseudoReasoner: Leveraging Pseudo Labels for Commonsense Knowledge Base Population.
    Findings of Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP), 2022. [pdf] [code].

  • Ying Su, Zihao Wang, Tianqing Fang, Hongming Zhang, Yangqiu Song and Tong Zhang.
    MICO: A Multi-alternative Contrastive Learning Framework for Commonsense Knowledge Representation.
    Findings of Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP), 2022. [pdf] [code].

  • Zhaowei Wang, Hongming Zhang, Tianqing Fang, Yangqiu Song, Ginny Y. Wong and Simon See.
    SubeventWriter: Iterative Sub-event Sequence Generation with Coherence Controller.
    Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022. [pdf] [code].

  • Ziqian Zeng, Weimin Ni, Tianqing Fang, Xiang Li, Xinran Zhao, and Yangqiu Song.
    Weakly Supervised Text Classification using Supervision Signals from a Language Model.
    Findings of Annual Conference of the North American Chapter of the Association for Computational Linguistics (Findings of NAACL), 2022. [pdf] [code].


  • Tianqing Fang*, Weiqi Wang*, Sehyun Choi, Shibo Hao, Hongming Zhang, Yangqiu Song, Bin He.
    Benchmarking Commonsense Knowledge Base Population with an Effective Evaluation Dataset.
    Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021 (Main Conference), [pdf] [code] [video]

  • Tianqing Fang, Haojie Pan, Hongming Zhang, Yangqiu Song, Kun Xu, Dong Yu.
    Do Boat and Ocean Suggest Beach? Dialogue Summarization with External Knowledge.
    Conference on Automated Knowledge Base Construction (AKBC), 2021. [pdf] [code]
  • Nedjma Ousidhoum, Xinran Zhao, Tianqing Fang, Yangqiu Song, and Dit-Yan Yeung.
    Probing Toxic Content in Large Pre-Trained Language Models.
    Annual Meeting of the Association for Computational Linguistics (ACL), 2021. [pdf] [code]
  • Tianqing Fang, Hongming Zhang, Weiqi Wang, Yangqiu Song, and Bin He.
    DISCOS: Bridging the Gap between Discourse Knowledge and Commonsense Knowledge.
    The Web Conference (WWW), 2021. [pdf] [code] [video]

*: Equal Contribution


  • HKUST RedBird Academic Excellence Award for Continuing PhD Students in 2021/22 (2022)
  • Hong Kong Ph.D. Fellowship (2019-2023)
  • Special Scholarship for Undergraduate Students in Zhejiang University (one of the top honor in ZJU) (2018)
  • 1st Place and MATLAB Innovation Award (1st/36K+) in Contemporary Undergraduate Mathematical Contest in Modeling (2017)
  • National Scholarship (top 3%, ZJU, 2016)


  • COMP5222/MATH5471: Statistical Learning Models for Text and Graph Data. (Fall 2021)
  • MSBD6000H: Natural Language Processing. (Spring 2021)
  • COMP4901K/MATH4824B: Machine Learning for Natural Language Processing. (Fall 2020)
  • COMP4332/RMBI4310: Big Data Mining. (Spring 2020)

Academic Service

  • Conference Reviewer: ACL Rolling Review, AAAI’23, ACL’23, COLING’22, EMNLP’22, IJCAI’23, KDD’23
  • Conference External Reviewer: KDD’20, 21, ACL’21, EMNLP’21


I take pictures on weekends. Check out the highlights on unsplash and more photos on flickr.