ICML 2025 Just Announces Its New Board Members

[Joanne]

The International Conference on Machine Learning (ICML) has just unveiled its 2025 Board line-up.

Five distinguished researchers have been elected. A brief introduction to each board member follows.

1 Zhouchen Lin

Professor, Peking University; Associate Dean, School of Intelligence

• Fellow of IAPR / IEEE / CSIG / AAIA; recipient of China’s National Distinguished Young Scholar grant.
• Research: machine learning, computer vision, numerical optimisation.
• 350+ papers, 40 000+ Google Scholar citations (h-index 86); 60+ US & Chinese patents.
• Senior/Area Chair for CVPR, ICCV, ICML, NeurIPS, ICLR, AAAI, IJCAI; former Associate Editor for IEEE TPAMI and IJCV.
• B.Sc. (Nankai), M.Sc. (Beijing Univ.), M.Sc. (Hong Kong PolyU), Ph.D. (2000).

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2 Junchi Yan

Professor, School of Artificial Intelligence, Shanghai Jiao Tong University

• IAPR Fellow; PI on China’s Mega-Grant projects and NSFC Excellent Young project.
• Ten years in industry (IBM Research, Amazon).
• Research: machine learning theory & applications; AI for science.
• Area Chair for CVPR, ICML, NeurIPS, ICLR; Associate Editor for IEEE TPAMI.
• Awards include provincial 1st-class Natural Science Prize and IEEE CS “AI 10-to-Watch”.
• B.Eng. (Beijing University of Science and Technology), M.Sc. & Ph.D. (SJTU).

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3 Gautam Kamath

Assistant Professor, Cheriton School of Computer Science, University of Waterloo; CIFAR AI Chair

• Core faculty, Vector Institute.
• Research: trustworthy statistics & ML—privacy, robustness.
• Dual B.Sc. in CS and ECE (Cornell 2012); Ph.D. in CS (MIT 2018).

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4 Masashi Sugiyama

Director, RIKEN-AIP; Professor, University of Tokyo

• Former Program Chair: ACML 2010, NeurIPS 2015, AISTATS 2019, ACML 2020.
• Research spans statistical machine learning and data analysis; author of the textbook “Introduction to Statistical Machine Learning.”
• B.Sc., M.Sc., Ph.D. (Tokyo Institute of Technology, 2001).

5 Andreas Krause

Professor of Computer Science, ETH Zurich; Chair, ETH AI Center
Andreas was already in ICML board.

• Leads the Learning & Adaptive Systems group.
• Academic Co-Director, Swiss Data Science Center; co-founder of ETH spin-off LatticeFlow.
• Former Assistant Professor of Computer Science at Caltech.
• Education: Diplom in Computer Science & Mathematics, Technical University of Munich (2004); Ph.D. in Computer Science, Carnegie Mellon University (2008).
• Honours: Fellow of the ACM, IEEE and ELLIS; Kavli Frontiers of Science Fellow (U.S. National Academy of Sciences).
• Awards: ACM SIGKDD Test-of-Time Award (2019); ICML Test-of-Time Award (2020).
• Service: Program Co-Chair, ICML 2018; General Chair, ICML 2023; Member, UN High-Level Advisory Body on AI (2023 – 2024).

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About ICML

ICML is one of the “big three” AI conferences (alongside NeurIPS and ICLR), dedicated to advancing the field of machine learning. The 2025 edition, just concluded at the Vancouver Convention Centre, received 12 107 valid submissions—a 28 % increase over 2024—and accepted 3 260 papers, yielding an acceptance rate of 26.9 %.

As one of the fastest-growing venues in AI, ICML brings together academics, industry researchers, entrepreneurs, engineers, and students from around the world.

Congratulations to the new board members to serve on the ICML Board!

If we missed any new board member here, please help us add.

[cqsyf]

Chinese (or with Chinese education background) researchers and scholars are definitely dominating the AI/ML research I think.