上海交通大学计算机系 副教授 & 博士生导师Associate Professor & Ph.D. Advisor
Department of Computer Science and Engineering
Shanghai Jiao Tong University
Email: wangrui12 (as you know) sjtu.edu.cn
Dr. Rui Wang is a computational linguist working as an associate professor and he leads the machine translation lab at Shanghai Jiao Tong University since 2021. Before that, he was a researcher (tenured in 2020) at Japan National Institute of Information and Communications Technology (NICT) from 2016 to 2020. His research interest is NLP, especially machine translation (MT). He has published more than 40 papers in top-tier NLP/ML/AI conferences and journals, such as ACL, EMNLP, ICLR, AAAI, IJCAI, TPAMI, TASLP, etc. He has also won several first places in top-tier MT/NLP shared tasks, such as WMT-2018, WMT-2019, WMT-2020, CoNLL-2019, etc. He served as the area chairs of ICLR-2021/2022, NAACL-2021, and CoNLL-2021. He gave cutting-edge tutorials at EACL-2021 and EMNLP-2021.
Machine Translation Lab @SJTU 上海交通大学机器翻译研究室
I am always fortunate to work with these brilliant researchers and Ph.D./master/undergraduate students. Please send your CV and research proposal (optional) to me if you want to join us.
Zhiwei He (Ph.D. Student, 2021-)
Pingchuan Ma (Master Student, 2021-)
Ruize Gao (Master Student, 2021-)
Hongkun Hao (Undergraduate Student, 2021; Master Student, 2022-)
Xiaoyi Bao (Undergraduate Student, 2021)
Area Chairs: ICLR-2021/2022, NAACL-2021, CoNLL-2021, CCL-2019, and CCL-2018
Organization Chairs: PACLIC-29 and YCCL-2012
PC Members: ACL, EMNLP, NAACL, ICLR, AAAI, IJCAI, etc.
Reviewers: CL, TACL, IEEE TASLP, etc.
2022-2025: PI of NSFC General Program: "Research on Multilingual Unsupervised Machine Translation" (6217020129)
2021-2023: PI of Shanghai Pujiang Program："Research on the Key Problem of Unsupervised Machine Translation" (21PJ1406800）
2021-2022: PI of CCF-Tencent Rhino-Bird Young Faculty Open Research Fund: "Research on Low-resource Machine Translation" (RAGR20210119)
2019-2020: PI of Japan national fund (JSPS) for early-career scientists: "Unsupervised Neural Machine Translation in Universal Scenarios" (19K20354)