4 papers got accepted at ICML 2026
Many students got new papers published at ICML 2026 which is the top-tier AI venue: Viet-Hoang Tran, Vinh Khanh Bui, Tan Lai Ngoc, Nam Nguyen, […]
Many students got new papers published at ICML 2026 which is the top-tier AI venue: Viet-Hoang Tran, Vinh Khanh Bui, Tan Lai Ngoc, Nam Nguyen, […]
Quyen Tran, Ngoc-Hai Nguyen, Quan Dao, Hoang Phan, Linh Ngo Van, Khoat Than, Dinh Phung, Dimitris N. Metaxas, Trung Le. “An Optimal Transport-driven Approach for […]
Tung Tran, Danilo Vasconcellos Vargas, Khoat Than. “LCA: Local Classifier Alignment for Continual Learning”. The Fourteenth International Conference on Learning Representations, 2026.
A successful year with many top-tier publications, projects, and collaborations. Big congratulations to the new 27 members, who have passed a highly selective process.
Professor Can Le (from University of California, Davis, USA) will visit our Lab to discuss future collaboration and give a seminar about “Optimization-based methods for […]
We are proud to share that eight of our Lab’s alumni have been awarded fully funded Ph.D. scholarships, including six in the United States. This […]
The Best Thesis Award of this year from the School of Information and Communication Technology, Hanoi University of Science and Technology, has been conferred upon […]
Many students got new papers published at ICML 2025 which is the top-tier AI venue: Lan-Cuong Nguyen, Quan Nguyen-Tri, Bang Tran Khanh, Dung D. Le, […]
Two new papers to appear at international journals which have top-tier quality: Khoat Than, Dat Phan, and Giang Vu. “Gentle Local Robustness implies Generalization.” Machine Learning, 2025. […]
Many students got new papers published at international conferences which have top-tier quality: Lichuan Xiang, Quan Nguyen-Tri, Lan-Cuong Nguyen, Hoang Pham, Khoat Than, Long Tran-Thanh, […]
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