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I’m a 3rd 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. I received my B.E. degree from Zhejiang University in 2019, supervised by Prof. Yang Yang. Here is my Curriculum Vitae (Oct 2021).

Research Interest

• Natural Language Processing
• Commonsense Knowledge: Acquisition and Reasoning

Publication

2022

• 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 NAACL. 2022.

2021

• 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]

Preprints:

• 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. 2021, arXiv: 2104.02137. [pdf] [code] [homepage]

*: Equal Contribution

Awards

• Hong Kong Ph.D. Fellowship (2019-2023)
• Special Scholarship for Undergraduate Students in Zhejiang University (2018)
• 1st Place and MATLAB Innovation Award in Contemporary Undergraduate Mathematical Contest in Modeling (2017)
• National Scholarship (ZJU, 2016)

Teaching

• 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.
• Conference External Reviewer: KDD‘20, 21, ACL‘21, EMNLP‘21

Miscs:

I take pictures on weekends. Check out some of them on flickr