Lei Feng

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Lei Feng (冯磊)

Assistant Professor (PhD Supervisor) @ Information Systems Technology and Design (ISTD) Pillar,
Director @ REliable Machine Intelligence (REMI) Lab,
Singapore University of Technology and Design (SUTD)

Visiting Scientist (part-time) @ RIEKN Center for Advanced Intelligence Project (RIKEN-AIP), Japan

Website: Official Profile, Google Scholar Profile
E-mail: feng_lei@sutd.edu.sg, lfengqaq@gmail.com (for review invitation)

Brief Biography

I am currently a tenure-track Assistant Professor (PhD Supervisor) at Information Systems Technology and Design Pillar and Director at Reliable Machine Intelligence Lab (i.e., my research group), Singapore University of Technology and Design. I am also affiliated with RIKEN Center for Advanced Intelligence Project, as a Visiting Scientist (part-time). I was a Professor at College of Computer Science, Chongqing University, China and Visiting Professor at College of Computing and Data Science, Nanyang Technological University, Singapore. My main research interests lie in machine learning, data mining, and artificial intelligence, with a particular emphasis on weakly supervised machine learning and trustworthy machine learning. Currently, I am also interested in foundation models with various fine-tuning strategies and would like to address various reliability issues (e.g., safety, robustness, privacy) faced by foundation models. My long-term goal is to build effective, reliable, and explainable machine learning systems, which can learn from various types of complex data with limited supervision information.

Top News

  • [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.

  • [Dec 2023] Invited to serve as a SPC for IJCAI'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.

  • [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).