Zhuosheng Zhang

Ph.D. Student
Department of Computer Science and Engineering
Shanghai Jiao Tong University

Email: zhangzs@sjtu.edu.cn
Office: SEIEE Building 3-220

Publications      Shared Tasks      Service     Awards     Personal


I am a Ph.D. student in the Department of Computer Science and Engineering at Shanghai Jiao Tong University, advised by Prof. Hai Zhao. Before that, I was an internship research fellow at NICT from 2019-2020, working with Prof. Rui Wang, Kehai Chen, Masao Utiyama, and Eiichiro Sumita. I received M.S. degree from Shanghai Jiao Tong University in 2020, and B.S. degree from Wuhan University in 2016.

My primary research interests are natural language processing and machine learning, with the long-term goal of building intelligent machine learning systems with the human-level language comprehension ability to assist humans in an effective, interpretable, and robust way (Survey). In pursuit of this goal, I develop principled methodologies of powering the deep neural networks with massive linguistic, commonsense, and multimodal knowledge, in support of real-world application scenarios such as question answering and multi-turn dialogue.

I have published more than 20 papers in top-tier NLP/ML/AI conferences and journals, including ACL, ICLR, AAAI, EMNLP, COLING, TPAMI, TKDE, and TASLP. I won 1st place in MRC leaderboards, such as SQuAD2.0, MuTual, RACE, ShARC, CCL-CMRC2017, etc.



  • IJCAI-21 Tutorial: Machine Reading Comprehension: The Role of Contextualized Language Models and Beyond
    Zhuosheng Zhang and Hai Zhao.

Invited Talk



Selected Publications

Discover the Full list | google scholar | semantic scholar | dblp.
(#: equal contribution)
[Preprints] [2021] [2020]
[2019] [2018]

Shared Tasks

[January 2021] ShARC Leaderboard on Conversational Question Answering
[September 2020] Mutual Leaderboard on Dialogue Reasoning Challenge
[July 2019] SQuAD2.0 Leaderboard on Machine Reading Comprehension
[March 2019] RACE Leaderboard on Machine Reading Comprehension
[April 2019] SNLI Leaderboard on Language Inference [March 2019] GLUE Leaderboard on Language Understanding [August 2017] Chinese Machine Reading Comprehension (CCL-CMRC 2017)

Professional Service