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ORCIDDai Hai Nguyen
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2020 – today
- 2024
[j8]Dai Hai Nguyen, Tetsuya Sakurai:
Moreau-Yoshida variational transport: a general framework for solving regularized distributional optimization problems. Mach. Learn. 113(9): 6697-6724 (2024)- 2023
- [j7]Dai Hai Nguyen
, Tetsuya Sakurai:
Mirror variational transport: a particle-based algorithm for distributional optimization on constrained domains. Mach. Learn. 112(8): 2845-2869 (2023) - [j6]Dai Hai Nguyen, Koji Tsuda:
On a linear fused Gromov-Wasserstein distance for graph structured data. Pattern Recognit. 138: 109351 (2023) - [i6]Dai Hai Nguyen, Tetsuya Sakurai:
Moreau-Yoshida Variational Transport: A General Framework For Solving Regularized Distributional Optimization Problems. CoRR abs/2307.16358 (2023) - [i5]Dai Hai Nguyen, Tetsuya Sakurai, Hiroshi Mamitsuka:
Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference. CoRR abs/2310.16705 (2023) - 2022
- [i4]Dai Hai Nguyen, Koji Tsuda:
On a linear fused Gromov-Wasserstein distance for graph structured data. CoRR abs/2203.04711 (2022) - [i3]Dai Hai Nguyen, Tetsuya Sakurai:
A Particle-Based Algorithm for Distributional Optimization on \textit{Constrained Domains} via Variational Transport and Mirror Descent. CoRR abs/2208.00587 (2022) - 2021
- [j5]Dai Hai Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka:
Learning subtree pattern importance for Weisfeiler-Lehman based graph kernels. Mach. Learn. 110(7): 1585-1607 (2021) - [i2]Dai Hai Nguyen, Koji Tsuda:
A generative model for molecule generation based on chemical reaction trees. CoRR abs/2106.03394 (2021) - [i1]Dai Hai Nguyen, Canh Hao Nguyen, Hiroshi Mamitsuka:
Learning subtree pattern importance for Weisfeiler-Lehmanbased graph kernels. CoRR abs/2106.04739 (2021) - 2020
- [j4]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): 2229 (2020)
2010 – 2019
- 2019
- [j3]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): 2028-2043 (2019) - [j2]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): i164-i172 (2019) - 2018
- [j1]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): i323-i332 (2018)
Coauthor Index
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