Dai Hai Nguyen

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 14

Top Topics

Optimization Problems

Computational Biology

Interaction Model

Tandem Mass Spectra

Top Venues

Pattern Recognit.

Publications

Dai Hai Nguyen, Tetsuya Sakurai
Moreau-Yoshida variational transport: a general framework for solving regularized distributional optimization problems. Mach. Learn. 113 (9) (2024)
Dai Hai Nguyen, Tetsuya Sakurai, Hiroshi Mamitsuka
Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference. CoRR (2023)
Dai Hai Nguyen, Tetsuya Sakurai
Moreau-Yoshida Variational Transport: A General Framework For Solving Regularized Distributional Optimization Problems. CoRR (2023)
Dai Hai Nguyen, Tetsuya Sakurai
Mirror variational transport: a particle-based algorithm for distributional optimization on constrained domains. Mach. Learn. 112 (8) (2023)
Dai Hai Nguyen, Koji Tsuda
On a linear fused Gromov-Wasserstein distance for graph structured data. Pattern Recognit. 138 (2023)
Dai Hai Nguyen, Koji Tsuda
On a linear fused Gromov-Wasserstein distance for graph structured data. CoRR (2022)
Dai Hai Nguyen, Tetsuya Sakurai
A Particle-Based Algorithm for Distributional Optimization on \textit{Constrained Domains} via Variational Transport and Mirror Descent. CoRR (2022)
Dai Hai Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka
Learning subtree pattern importance for Weisfeiler-Lehman based graph kernels. Mach. Learn. 110 (7) (2021)
Dai Hai Nguyen, Koji Tsuda
A generative model for molecule generation based on chemical reaction trees. CoRR (2021)
Dai Hai Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka
Learning subtree pattern importance for Weisfeiler-Lehmanbased graph kernels. CoRR (2021)
Hang Nguyen Thi Nhat, Ngoc Thuy Trang Le, Nguyen Thi Phuong Phong, Dai Hai Nguyen, Minh-Tri Nguyen-Le
Potential Application of Gold Nanospheres as a Surface Plasmon Resonance Based Sensor for In-Situ Detection of Residual Fungicides. Sensors 20 (8) (2020)
Dai Hai Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka
Recent advances and prospects of computational methods for metabolite identification: a review with emphasis on machine learning approaches. Briefings Bioinform. 20 (6) (2019)
Dai Hai Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka
ADAPTIVE: leArning DAta-dePendenT, concIse molecular VEctors for fast, accurate metabolite identification from tandem mass spectra. Bioinform. 35 (14) (2019)
Dai Hai Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka
SIMPLE: Sparse Interaction Model over Peaks of moLEcules for fast, interpretable metabolite identification from tandem mass spectra. Bioinform. 34 (13) (2018)