Zhuosheng Zhang

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

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

Publications      Shared Tasks      Awards     Personal


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

His research focuses on Question Answering and Dialogue Systems. In particular, he is interested in Machine Reading Comprehension (MRC) and Language Modeling (Survey). He has published more than 20 papers in top-tier NLP/ML/AI conferences and journals, including ACL, ICLR, AAAI, EMNLP, COLING, TPAMI, TKDE, TASLP, etc. He has won 1st place in various MRC shared tasks and leaderboards, such as SQuAD2.0, MuTual, RACE, SNLI, CCL-CMRC2017, etc. He was the recipient of the Academic Star Award of SJTU (2018), the National College Students of the Year Nomination Award (2016), and the CCF Elite Collegiate Award (2015).



  • Machine Reading Comprehension: The Role of Contextualized Language Models and Beyond
    Zhuosheng Zhang and Hai Zhao.
    The 30th International Joint Conference on Artificial Intelligence (IJCAI-21 Tutorial)

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