
		Rui Wang Associate Professor Department of Computer Science and Engineering Shanghai Jiao Tong University Email: wangrui12 (as you know) sjtu.edu.cn

Rui Wang

Associate Professor
Department of Computer Science and Engineering
Shanghai Jiao Tong University

Email: wangrui12 (as you know) sjtu.edu.cn

Biography

I am a computational linguist working at Shanghai Jiao Tong University since 2021. Previously, I worked at the Japanese National Institute of Information and Communications Technology from 2016 to 2020. I was a joint Ph.D. student at Shanghai Jiao Tong University and the French National Centre for Scientific Research from 2012 to 2016.

Language intelligence is a form of intelligence in which humans (and machines) learn about the outside world by reading natural language, producing highly abstract linguistic thinking, and then understanding, improving, and creating about the outside world. We aim to explore and extend the boundaries of language intelligence in the following areas:
1. The mechanism and application of language modeling.
2. Language Intelligence for Science: primarily linguistic, law, psychology, cognitive science, etc.
3. Machine Translation: I worked on it for over ten years and will never give it up.

Language Intelligence and Computational Linguistic Lab (MT Lab)

I am always fortunate to work with these brilliant young researchers. (Previously Machine Translation Lab from 2017-2022)
目前实验室主要由NLP背景的同学为主，我们亦欢迎有心理学、法学、语言学、认知科学等交叉学科背景的同学加入实验室。

@SJTU

Ph.D. Students:

Hu Xu (2024-)
Wenhong Zhu (2024-)
Qingyuan Tian (2024-)
Yiming Wang (2023-)
Xingyu Chen (2022-)
Zhiwei He (2021-)

Master Students:

2023-: Ziyin Zhang, Xiaofeng Wang, and Lizhen Xu
2022-: Hongkun Hao, Yiming Ai, Tianxiang Hu, Wenhong Zhu(-->Ph.D Student, SJTU), Tian Xia
2021-: Ruize Gao (-->Alibaba DAMO Academy)

Undergraduate Students:

-2024: Chenxi Yang (-->Master Student, SJTU)
-2023: Ziyin Zhang and Xiaofeng Wang (-->Master Student, SJTU)
-2022: Yushen Chen, Hongkun Hao, Yiming Ai, and Tianxiang Hu (-->Master Student, SJTU)
-2021: Xiaoyi Bao (-->Microsoft), Ruiyi Wang (-->Master Student, LTI, CMU)

@NICT

Interns:

Zhuosheng Zhang (Matser Student, SJTU, 2019-2020)
Haipeng Sun (Ph.D. Student, HIT, 2018-2020)
Zhisong Zhang (Matser Student, SJTU, 2017-2018)
Kehai Chen (Ph.D. Student, HIT, 2017-2018)

Community

Academic Services

Program Chair: MT Summit 2023 (Research Track)
Senior Area Chairs: ACL-2024
Area Chairs: ICML (2023-), NeurIPS (2022-), ICLR (2021-), EMNLP (2022), NAACL (2021), CoNLL (2021-2022), CCL (2018-2019)
Associate Editor: ACL Rolling Review (2024-), IEICE Transactions on Information and Systems (2022-2024)
Standing Reviewers: CL (2020-) and TACL (2020-)

Shared Tasks

WMT-2023: 1st places in Word-Level AutoCompletion[Paper]
WMT-2022: 1st places in Livonian<->English[Paper]
IWSLT-2022: 1st in the Simultaneous Speech Translation task [Results][Paper]
WMT-2020: 1st in three tasks (English->Chinese, Polish->English, and German-Upper Sorbian) [Results][Paper]
CoNLL-2019: 1st in the DM sub-task and the 2nd overall [Results][Paper]
WMT-2019: 1st in the only unsupervised MT task (German-Czech) [Results] [Paper]
WAT-2018: 1st places in Myanmar (Burmese) <- English [Results][Paper]
WMT-2018: 1st places in four tasks (English<->Estonian and English<->Finnish) [Results][Paper]

Teaching

Lecture

CS3966: Natural Language Processing and Large Language Model (for the John Class), 2024-
CS3602: Natural Language Processing (for the CS and AI major), 2021-
CS438: Information Extraction, 2021-2023
CS247: Data Mining, 2021-2022

Tutorial

Advances and Challenges in Unsupervised Neural Machine Translation.
    Rui Wang and Hai Zhao
    16th conference of the European Chapter of the Association for Computational Linguistics (EACL-Tutorial), 2021
Syntax in End-to-End Natural Language Processing
    Hai Zhao, Rui Wang, and Kehai Chen
    The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP-Tutorial), 2021
Domain Adaptation for Neural Machine Translation
    Chenhui Chu and Rui Wang
    The 16th China Conference on Machine Translation (CCMT-Tutorial), 2019
    --You also refer to our survey paper in [COLING-2018]

Recent Selected Publication [Google Scholar]

Note: If you have a technical question about a research paper, it is best to try to get in contact with all of the authors so the most appropriate person can respond as quickly as possible.

Improving Open-Ended Text Generation via Adaptive Decoding
    Wenhong Zhu, Hongkun Hao, Zhiwei He, Yiming Ai, Rui Wang*
     ICML-2024
MELA: Multilingual Evaluation of Linguistic Acceptability
    Ziyin Zhang, Yikang Liu, Weifang Huang, Junyu Mao, Rui Wang*, Hai Hu*
     ACL-2024
Is Cognition and Action Consistent or Not: Investigating Large Language Model's Personality
    Yiming Ai, Zhiwei He, Ziyin Zhang, Wenhong Zhu, Hongkun Hao, Kai Yu, Lingjun Chen, Rui Wang*
    ArXiv, 2024
Meta-reasoning: Semantics-symbol deconstruction for large language models
    Yiming Wang, Zhuosheng Zhang, Pei Zhang*, Baosong Yang, Rui Wang*
    ACL-2024
Exploring Human-Like Translation Strategy with Large Language Models
    Zhiwei He, Tian Liang, Wenxiang Jiao, Zhuosheng Zhang, Yujiu Yang, Rui Wang*, Zhaopeng Tu*, Shuming Shi, Xing Wang
    TACL-2024