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Dai Hai Nguyen
Dai Hai Nguyen
Verified email at cs.tsukuba.ac.jp - Homepage
Title
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Cited by
Year
Recent advances and prospects of computational methods for metabolite identification: a review with emphasis on machine learning approaches
DH Nguyen, CH Nguyen, H Mamitsuka
Briefings in bioinformatics 20 (6), 2028-2043, 2019
852019
Deep neural networks for recognizing online handwritten mathematical symbols
H Dai Nguyen, AD Le, M Nakagawa
2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR), 121-125, 2015
432015
SIMPLE: Sparse Interaction Model over Peaks of moLEcules for fast, interpretable metabolite identification from tandem mass spectra
DH Nguyen, CH Nguyen, H Mamitsuka
Bioinformatics 34 (13), i323-i332, 2018
392018
Recognition of online handwritten math symbols using deep neural networks
H Dai Nguyen, AD Le, M Nakagawa
IEICE TRANSACTIONS on Information and Systems 99 (12), 3110-3118, 2016
302016
ADAPTIVE: leArning DAta-dePendenT, concIse molecular VEctors for fast, accurate metabolite identification from tandem mass spectra
DH Nguyen, CH Nguyen, H Mamitsuka
Bioinformatics 35 (14), i164-i172, 2019
252019
Semi-supervised learning of hierarchical representations of molecules using neural message passing
H Nguyen, S Maeda, K Oono
arXiv preprint arXiv:1711.10168, 2017
202017
Stroke order normalization for improving recognition of online handwritten mathematical expressions
AD Le, HD Nguyen, B Indurkhya, M Nakagawa
International Journal on Document Analysis and Recognition (IJDAR) 22, 29-39, 2019
132019
Modified xy cut for re-ordering strokes of online handwritten mathematical expressions
AD Le, H Dai Nguyen, M Nakagawa
2016 12th IAPR Workshop on Document Analysis Systems (DAS), 233-238, 2016
112016
On a linear fused Gromov-Wasserstein distance for graph structured data
DH Nguyen, K Tsuda
Pattern Recognition 138, 109351, 2023
102023
Combination of LSTM and CNN for recognizing mathematical symbols
H Dai, ANH Le Duc, M Nakagawa
Proceedings of the 17th information-based induction sciences workshop, 2014
102014
Learning subtree pattern importance for Weisfeiler-Lehman based graph kernels
DH Nguyen, CH Nguyen, H Mamitsuka
Machine Learning 110 (7), 1585-1607, 2021
92021
Generating reaction trees with cascaded variational autoencoders
DH Nguyen, K Tsuda
The Journal of Chemical Physics 156 (4), 2022
72022
Multi-column CNNs for skeleton based human gesture recognition
DH Nguyen, TN Ly, TH Truong, DD Nguyen
2017 9th International Conference on Knowledge and Systems Engineering (KSE …, 2017
42017
Differentiable optimization layers enhance GNN-based mitosis detection
H Zhang, DH Nguyen, K Tsuda
Scientific Reports 13 (1), 14306, 2023
12023
Mirror variational transport: a particle-based algorithm for distributional optimization on constrained domains
DH Nguyen, T Sakurai
Machine Learning 112 (8), 2845-2869, 2023
12023
A particle-based algorithm for distributional optimization on\textit {Constrained Domains} via variational transport and mirror descent
DH Nguyen, T Sakurai
arXiv preprint arXiv:2208.00587, 2022
12022
A generative model for molecule generation based on chemical reaction trees
H Dai Nguyen, K Tsuda
arXiv e-prints, arXiv: 2106.03394, 2021
12021
Moreau-Yoshida variational transport: a general framework for solving regularized distributional optimization problems
DH Nguyen, T Sakurai
Machine Learning, 1-28, 2024
2024
Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference
DH Nguyen, T Sakurai, H Mamitsuka
arXiv preprint arXiv:2310.16705, 2023
2023
Machine Learning for Metabolic Identification
DH Nguyen, CH Nguyen, H Mamitsuka
Creative Complex Systems, 329-350, 2021
2021
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