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Lei Feng (冯磊)
Professor @ School of Computer Science and Engineering, Southeast University, China
[Google Scholar Profile]
[官方主页]
E-mail: fenglei@seu.edu.cn, lfengqaq@gmail.com (for review invitation)
Openings: Multiple vacancies for PhD and Master students are available, with expected enrollment in Sep 2025 or 2026.
I am also looking for highly motivated postdoctoral research fellows.
Please drop me an email if you are interested.
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Brief Biography
I am a Full Professor at School of Computer Science and Engineering, Southeast University, China. I am also affiliated with RIKEN Center for Advanced Intelligence Project, as a Visiting Scientist (part-time). I earned my PhD degree from Nanyang Technological University, Singapore. My main research interests lie in machine learning, data mining, and statistics, with a particular emphasis on addressing various security/reliability/robustness/privacy issues faced by multimodal large language models and AI agents.
Top News
[Feb 2025] Invited to serve as an Area Chair for NeurIPS'25.
[Dec 2024] Invited to serve as an Action Editor for Neural Networks.
[Dec 2024] Invited to serve as an Area Chair for ICML'25.
[Dec 2024] Invited to serve as an Area Chair for IJCAI'25.
[Nov 2024] Invited to serve as an Action Editor for TMLR.
[Aug 2024] Invited to serve as an Area Chair for ICLR'24.
[Jun 2024] Invited to serve as an Area Chair for NeurIPS'24 Datasets and Benchmarks Track.
[Mar 2024] Invited to serve as an Area Chair for NeurIPS'24.
See more news here.
Education
Ph.D. in Computer Science. Nanyang Technological University, Singapore (Aug 2017 - Dec 2020)
Submitted thesis in Aug 2020, left NTU in Dec 2020, defended thesis in Jan 2021, received degree in Feb 2021.
NTU SCSE Outstanding PhD Thesis Award Runner-Up (in the situation of early graduation). Supervised by Prof. Bo An.
B.E. in Computer Science. Southwest University, Chongqing, China (Sep 2013 - Jul 2017)
Outstanding Graduate of Southwest University.
Honors & Awards
[2024] WAIC 2024 Youth Outstanding Paper Nomination Award.
[2024] Asia-Pacific Leaders Under 30 in 2024.
[2022] Forbes 30 Under 30 Asia.
[2022] Champion in the Learning and Mining with Noisy Labels Challenge at IJCAI-ECAI 2022.
[2022] Chongqing Youth Pioneer in Science and Technology Innovation.
[2022] ICLR 2022 Outstanding Paper Award Honorable Mention.
[2021] Forbes 30 Under 30 China.
[2021] NTU SCSE Outstanding PhD Thesis Award Runner-up (in the situation of early graduation).
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