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NGUYEN DAI HAI

ALUMNI 2025年5月現在、筑波大学が主たる所属機関ではありません

Nguyen, Dai Hai

北海道大学 , 大学院情報科学研究科 , 准教授
Hokkaido University , Graduate School of Information Science and Technology , Associate Professor

オープンアクセス版の論文は「つくばリポジトリ」で読むことができます。
  1. 1. Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference Dai Hai Nguyen; Tetsuya Sakurai; Hiroshi Mamitsuka
      Proceedings of The 28th International Conference on Artificial Intelligence and Statistics 258: 1756 (2025)
  2. 2. Moreau-Yoshida variational transport: a general framework for solving regularized distributional optimization problems Dai Hai Nguyen; Tetsuya Sakurai
      Machine Learning (2024) Semantic Scholar
  3. 3. Differentiable optimization layers enhance GNN-based mitosis detection Zhang, Haishan; Nguyen, Dai Hai; Tsuda, Koji
      SCIENTIFIC REPORTS 13: (2023)
  4. 4. Mirror Variational Transport: A Particle-based Algorithm for Distributional Optimization on Constrained Domains Dai Hai Nguyen; Tetsuya Sakurai
      Machine Learning (2023)
  5. 5. On A Linear Fused Gromov-Wasserstein Distance For Graph Structured Data Dai Hai Nguyen; Koji Tsuda
      Pattern Recognition 138: 109351 (2023) Semantic Scholar
  6. 6. Generating reaction trees with cascaded variational autoencoders Dai Hai Nguyen; Koji Tsuda
      The Journal of Chemical Physics 156: (2022) Semantic Scholar
  7. 7. Learning subtree pattern importance for Weisfeiler-Lehman based graph kernels Nguyen, Dai Hai; Nguyen, Canh Hao; Mamitsuka, Hiroshi
      Machine Learning 110: 1585 (2021) Semantic Scholar
  8. 8. Machine Learning for Metabolic Identification Nguyen, Dai Hai; Nguyen, Canh Hao; Mamitsuka, Hiroshi
      (2021) Semantic Scholar
  9. 9. ADAPTIVE: leArning DAta-dePendenT, concIse molecular VEctors for fast, accurate metabolite identification from tandem mass spectra Nguyen, Dai Hai; Nguyen, Canh Hao; Mamitsuka, Hiroshi
      Bioinformatics 35: 164 (2019) Semantic Scholar
  10. 10. Stroke order normalization for improving recognition of online handwritten mathematical expressions Le, Anh Duc; Nguyen, Hai Dai; Indurkhya, Bipin; Nakagawa, Masaki
      International Journal on Document Analysis and Recognition (IJDAR) 22: 29 (2019) Semantic Scholar
  11. 11. SIMPLE: Sparse Interaction Model over Peaks of moLEcules for fast, interpretable metabolite identification from tandem mass spectra Nguyen, Dai Hai; Nguyen, Canh Hao; Mamitsuka, Hiroshi
      Bioinformatics 34: 323 (2018) Semantic Scholar
  12. 12. Recent advances and prospects of computational methods for metabolite identification: a review with emphasis on machine learning approaches Nguyen, Dai Hai; Nguyen, Canh Hao; Mamitsuka, Hiroshi
      Briefings in bioinformatics 20: 2028 (2018) Semantic Scholar
  13. 13. Recognition of online handwritten math symbols using deep neural networks Hai Dai Nguyen; Anh Duc Le; Masaki Nakagawa
      EICE TRANSACTIONS on Information and Systems 99: 3110 (2016)
  14. 14. Modified xy cut for re-ordering strokes of online handwritten mathematical expressions Anh Duc Le; Hai Dai Nguyen; Bipin Indurkhya; Masaki Nakagawa
      12th IAPR Workshop on Document Analysis Systems (DAS) 233 (2016)
  15. 15. Deep neural networks for recognizing online handwritten mathematical symbols Hai Dai Nguyen; Anh Duc Le; Masaki Nakagawa
      IAPR Asian Conference on Pattern Recognition (ACPR) 121 (2015)
  1. 1. A Particle-Based Algorithm for Distributional Optimization on Constrained Domains via Variational Transport and Mirror Descent Dai Hai Nguyen; Tetsuya Sakurai (担当:共著)
    arXiv preprint arXiv:2208.00587 2022年8月
  2. 2. A generative model for molecule generation based on chemical reaction trees Dai Hai Nguyen; Koji Tsuda
    arXiv preprint arXiv:2106.03394 2021年6月
  3. 3. Creative Complex Systems Nguyen, Dai Hai; Nguyen, Canh Hao; Mamitsuka, Hiroshi
    Springer, Singapore 2021年
  4. 4. Semi-supervised learning of hierarchical representations of molecules using neural message passing Dai Hai Nguyen, Kenta Oono, Shinichi Maeda
    arXiv preprint arXiv:1711.10168 2017年11月
  1. 1. Learning Subtree Pattern Importance for Weisfeiler- Lehman based Graph Kernels Nguyen, Dai Hai; Nguyen, Canh Hao; Mamitsuka, Hiroshi
    ECML PKDD 2021 : European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2021年3月26日
  2. 2. ADAPTIVE: leArning DAta-dePendenT, concIse molecular VEctors for fast, accurate metabolite identification from tandem mass spectra Nguyen, Dai Hai; Nguyen, Canh Hao; Mamitsuka, Hiroshi
    27th International Conference on Intelligent Systems for Molecular Biology (ISMB/ECCB 2019) 2019年7月21日
  3. 3. SIMPLE: Sparse Interaction Model over Peaks of moLEcules for fast, interpretable metabolite identification from tandem mass spectra Nguyen, Dai Hai; Nguyen, Canh Hao; Mamitsuka, Hiroshi
    26th International Conference on Intelligent Systems for Molecular Biology (ISMB 2018) 2018年7月6日
  4. 4. Semi-supervised learning of hierarchical representations of molecules using neural message passing
    Machine Learning for Molecules and Materials in NIPS 2017 2017年
  5. 5. Deep neural networks for recognizing online handwritten mathematical symbols Nguyen, Dai Hai
    The 3rd IAPR Asian Conference on Pattern Recognition (ACPR2015) 2015年11月3日
  6. 6. Mirror Variational Transport: A Particle-based Algorithm for Distributional Optimization on Constrained Domain Nguyen, Dai Hai
    ECML PKDD 2023 : European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 招待有り

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