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Faculty Profile
Kehai Chen, Assistant Professor, School of Computer Science, Harbin Institute of Technology (Shenzhen)
In 2018, he graduated from the School of Computer Science, Harbin Institute of Technology and obtained a Ph.D. From 2018 to 2021, he will be engaged in postdoctoral research at the National Institute of Information and Communications Research in Japan, and his main research direction will be natural language processing and machine translation. He has published more than 40 papers in international conferences and journals such as ACL, ICLR, EMNLP, AAAI, TPAMI, TASLP, and TFS.
He has served as the senior program committee member of the top artificial intelligence conferences AAAI-2021 and AAAI-2022, the co-chair of the top international natural language processing conferences ACL-2022 and AACL-IJCNLP-2022 in the field of machine translation, and the co-chair of the AACL-IJCNLP-2023 seminar.
Won the "Excellent Doctoral Dissertation" Award of the Chinese Information Society of China in 2020 (a total of 5 people in the country)
Won the second prize of Beijing Science and Technology Progress Award in 2021 (3/10)
Selected into the National Youth Talent Program in 2022
In 2022, he will be selected for the special position B of the "Pengcheng Peacock Project"
Personal homepage: https://chenkehai.github.io
Enrollment plan
Recruit 2024-level doctoral students (including joint guidance), 2024-level exempt master's students, and recruit postdoctoral students all year round.
Research directions include natural language processing, large models, and multimodality.
admission requirements
Have enthusiasm and interest in scientific research, and be willing to engage in academic research work;
Work hard and have team spirit;
Experience in natural language processing and artificial intelligence research is preferred;
If you apply for exempting master students or direct Ph. The latest Ph.D. enrollment instructions of Harbin Institute of Technology Graduate School: http://yzb.hit.edu.cn/2023/0609/c8824a313710/pagem.htm
How to apply
Interested students, please send your CV, transcripts, research background and materials that can demonstrate your personal ability to the email: [email protected]
(Subject of email: [Master/PhD Application-Name-Enrollment Year and Month])
