Xin Liu (刘鑫)

I am a 1st-year Ph.D. student in Computer Science & Engineering at University of Michigan, supervised by Prof. Lu Wang. I am a member of the LAUNCH lab. My research interests lie in subfields of Natural Language Processing, such as Language Generation, Machine Translation, and Question Answering. Previously, I received my master and bachelor degree in Xiamen University, where I was advised by Prof. Jinsong Su.
Email: liuxincs{at}umich{dot}edu
Google Scholar, DBLP

News

[Oct 2022] Paper Getting the Most out of Simile Recognition is accepted as a findings paper of EMNLP2022.
[Aug 2022] Join the LAUNCH lab at University of Michigan as a Ph.D. student, advised by Prof. Lu Wang.
[Mar 2022] Be nominated as the Alibaba Group Outstanding Science Research Intern (13 nominations out of 1,000+ candidates).
[Dec 2021] Paper KGR^4: Retrieval, Retrospect, Refine and Rethink for Commonsense Generation is accepted by AAAI2022.
[May 2021] Our model KGR^4 achieves 1st place in CommonGen leaderboard.

[Aug 2022-] Ph.D. in Computer Science, University of Michigan. Advisor: Prof. Lu Wang.
[Aug 2019-Jun 2022] M.S. in Software Engineering, Xiamen University. Advisor: Prof. Jinsong Su.
[Aug 2015-Jun 2019] B.S. in Software Engineering, Xiamen University.

[Oct 2020-present] Research Intern in Alibaba Damo Academy. Advisor: Dr. Baosong Yang and Dr. Dayiheng Liu.
[Mar 2019-Feb 2020] Research Intern in NLP Department of Baidu. Advisor: Dr. Kai Liu.

Xiaoyue Wang, Linfeng Song, Xin Liu, Chulun Zhou, Jinsong Su. Getting the Most out of Simile Recognition. In Findings of the 2022 Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP 2022)
Xin Liu, Dayiheng Liu, Baosong Yang, Junwei Ding, Wenqing Yao, Weihua Luo, Haiying Zhang, Jinsong Su. KGR^4: Retrieval, Retrospect, Refine and Rethink for Commonsense Generation. In the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI 2022)
Xin Liu, Baosong Yang, Dayiheng Liu, Haibo Zhang, Weihua Luo, Min Zhang, Haiying Zhang, Jinsong Su. Bridging Subword Gaps in Pretrain-Finetune Paradigm for Natural Language Generation. In the 59th Annual Meeting of the Association for Computational Linguistics (ACL 2021)
Xin Liu*, Kai Liu*, Xiang Li*, Jinsong Su, Yubin Ge, Bin Wang, Jiebo Luo. An Iterative Multi-Source Mutual Knowledge Transfer Framework for Machine Reading Comprehension. In the Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI 2020)
Kai Liu*, Xin Liu*, An Yang, Jing Liu, Jinsong Su, Sujian Li, Qiaoqiao She. A Robust Adversarial Training Approach to Machine Reading Comprehension. In the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020)
Qian Lin, Huating Wen, Jing Yang, Xin Liu, Huan Lin, Hongji Wang, Jinsong Su. The construction of internal hierarchical structure corpus for Chinese words. Journal of Xiamen University (NATURAL SCIENCE EDITION)