Scholar
Dai Hai Nguyen
Google Scholar ID: a6oKC4EAAAAJ
Hokkaido University
Citations & Impact
Citations
304
H-index
10
i10-index
10
Publications
20
Co-authors
0
Publications
Resume
Academic Achievements
- Selected Publications:
- 1. Dai Hai Nguyen, Hiroshi Mamitsuka, Atsuyoshi Nakamura, 'Multiple Wasserstein gradient descent for multi-objective distributional optimization', UAI 2025
- 2. Dai Hai Nguyen, Tetsuya Sakurai, Hiroshi Mamitsuka, 'Wasserstein gradient flow over Variational parameter space for variational inference', AISTATS 2025
- 3. Dai Hai Nguyen, Tetsuya Sakurai, 'Moreau-Yoshida Variational Transport: a general framework for solving regularized distributional optimization problems', Machine Learning 2024
- 4. Dai Hai Nguyen, Tetsuya Sakurai, 'Mirror Variational Transport: A Particle-based Algorithm for Distributional Optimization on Constrained Domains', Machine Learning 2023
- 5. Dai Hai Nguyen, Koji Tsuda, 'On a linear fused Gromov-Wasserstein distance for graph structured data', Pattern Recognition 2023
- 6. Haishan Zhang, Dai Hai Nguyen, Koji Tsuda, 'Differentiable optimization layers enhance GNN-based mitosis detection', Scientific Reports 2023
- 7. Dai Hai Nguyen, Koji Tsuda, 'Generating reaction trees with cascaded variational autoencoders', The Journal of Chemical Physics 2022
- 8. Dai Hai Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka, 'Machine Learning for Metabolic Identification', Creative Complex Systems, Springer, Singapore, 2021
- 9. Dai Hai Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka, 'Learning Subtree Pattern Importance for Weisfeiler-Lehman based Graph Kernels', Machine Learning 2021
- 10. Dai Hai Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka, 'ADAPTIVE: leArning DAta-dePendenT, concise molecular VEctors for fast, accurate metabolite identification from tandem mass spectra', Bioinformatics
Research Experience
- Jan., 2025 - Present: Associate Professor at Hokkaido University; Apr., 2022 - Dec., 2024: Assistant Professor at the University of Tsukuba; Nov., 2020-Mar., 2022: Postdoctoral Researcher at the University of Tokyo; Oct., 2017-Sep., 2019: JSPS Research Fellow (DC2) at Kyoto University.
Education
- Oct., 2017-Sep., 2020, PhD. student @ Kyoto University, Japan; Sep., 2008-Aug., 2013, Undergraduate @ Hanoi University of Science and Technology, Vietnam.
Background
- Research Interests: machine learning, especially Convex Optimization, Kernel Methods, Optimal Transport, Information Geometry.