Dai Hai Nguyen

18 papers A 2Journal 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
Accelerated Multiple Wasserstein Gradient Flows for Multi-objective Distributional Optimization.
CoRR
Dai Hai Nguyen, Duc Dung Nguyen, Atsuyoshi Nakamura, Hiroshi Mamitsuka
2025 A conf
Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization.
UAI
Dai Hai Nguyen, Hiroshi Mamitsuka, Atsuyoshi Nakamura
2025 J jnl
Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization.
CoRR
Dai Hai Nguyen, Hiroshi Mamitsuka, Atsuyoshi Nakamura
2025 A conf
Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference.
AISTATS
Dai Hai Nguyen, Tetsuya Sakurai, Hiroshi Mamitsuka
2024 J jnl
Moreau-Yoshida variational transport: a general framework for solving regularized distributional optimization problems.
Mach. Learn.
Dai Hai Nguyen, Tetsuya Sakurai
2023 J jnl
Mirror variational transport: a particle-based algorithm for distributional optimization on constrained domains.
Mach. Learn.
Dai Hai Nguyen, Tetsuya Sakurai
2023 J jnl
Moreau-Yoshida Variational Transport: A General Framework For Solving Regularized Distributional Optimization Problems.
CoRR
Dai Hai Nguyen, Tetsuya Sakurai
2023 J jnl
On a linear fused Gromov-Wasserstein distance for graph structured data.
Pattern Recognit.
Dai Hai Nguyen, Koji Tsuda
2023 J jnl
Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference.
CoRR
Dai Hai Nguyen, Tetsuya Sakurai, Hiroshi Mamitsuka
2022 J jnl
A Particle-Based Algorithm for Distributional Optimization on \textit{Constrained Domains} via Variational Transport and Mirror Descent.
CoRR
Dai Hai Nguyen, Tetsuya Sakurai
2022 J jnl
On a linear fused Gromov-Wasserstein distance for graph structured data.
CoRR
Dai Hai Nguyen, Koji Tsuda
2021 J jnl
A generative model for molecule generation based on chemical reaction trees.
CoRR
Dai Hai Nguyen, Koji Tsuda
2021 J jnl
Learning subtree pattern importance for Weisfeiler-Lehman based graph kernels.
Mach. Learn.
Dai Hai Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka
2021 J jnl
Learning subtree pattern importance for Weisfeiler-Lehmanbased graph kernels.
CoRR
Dai Hai Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka
2020 J jnl
Potential Application of Gold Nanospheres as a Surface Plasmon Resonance Based Sensor for In-Situ Detection of Residual Fungicides.
Sensors
Hang Nguyen Thi Nhat, Ngoc Thuy Trang Le, Nguyen Thi Phuong Phong, Dai Hai Nguyen, Minh-Tri Nguyen-Le
2019 J jnl
ADAPTIVE: leArning DAta-dePendenT, concIse molecular VEctors for fast, accurate metabolite identification from tandem mass spectra.
Bioinform.
Dai Hai Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka
2019 J jnl
Recent advances and prospects of computational methods for metabolite identification: a review with emphasis on machine learning approaches.
Briefings Bioinform.
Dai Hai Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka
2018 J jnl
SIMPLE: Sparse Interaction Model over Peaks of moLEcules for fast, interpretable metabolite identification from tandem mass spectra.
Bioinform.
Dai Hai Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka