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Nguyen, Haocanh

Institute for Chemical Research (ICR) Senior Lecturer/ Junior Associate Professor

Nguyen, Haocanh
list
    Last Updated :2023/09/22

    Basic Information

    Affiliated programs (koza)

    • Graduate School of Pharmaceutical Sciences, 医薬創成情報科学専攻 医薬創成情報科学講座, 講師

    Academic Degree

    • 修士(知識科学)(北陸先端科学技術大学院大学)
    • 博士(知識科学)(北陸先端科学技術大学院大学)

    Language of Instruction

    • Japanese
    • English
    • Vietnamese

    ID,URL

    Website(s) (URL(s))

    researchmap URL

    list
      Last Updated :2023/09/22

      Research

      Research Topics, Overview of the research

      • Research Topics

        Machine Learning, Graph, Bioinformatics

      Research Areas

      • Informatics, Intelligent informatics

      Papers

      • Central-Smoothing Hypergraph Neural Networks for Predicting Drug–Drug Interactions
        Duc Anh Nguyen; Canh Hao Nguyen; Hiroshi Mamitsuka
        IEEE Transactions on Neural Networks and Learning Systems, 2023, Peer-reviewed
      • Machine Learning for Metabolic Identification
        Dai Hai Nguyen; Canh Hao Nguyen; Hiroshi Mamitsuka
        Creative Complex Systems, 2021, Peer-reviewed
      • SPARSE: a sparse hypergraph neural network for learning multiple types of latent combinations to accurately predict drug–drug interactions
        Duc Anh Nguyen; Canh Hao Nguyen; Peter Petschner; Hiroshi Mamitsuka
        Bioinformatics, 24 Jun. 2022, Peer-reviewed
      • Learning subtree pattern importance for Weisfeiler-Lehman based graph kernels
        Dai Hai Nguyen; Canh Hao Nguyen; Hiroshi Mamitsuka
        Machine Learning, 13 Jun. 2021, Peer-reviewed
      • Boosting prior knowledge in streaming variational Bayes
        Duc Anh Nguyen; Van Linh Ngo; Kim Anh Nguyen; Canh Hao Nguyen; Khoat Than
        Neurocomputing, Feb. 2021, Peer-reviewed
      • XGSEA: CROSS-species gene set enrichment analysis via domain adaptation
        Menglan Cai; Canh Hao Nguyen; Hiroshi Mamitsuka; Limin Li
        Briefings in Bioinformatics, 30 Jan. 2021, Peer-reviewed
      • Viruses of the eukaryotic plankton are predicted to increase carbon export efficiency in the global sunlit ocean
        Romain Blanc-Mathieu; Hiroto Kaneko; Hisashi Endo; Samuel Chaffron; Rodrigo Hernandez-Velazquez; Canh Hao Nguyen; Hiroshi Mamitsuka; Nicolas Henry; Colomban de Vargas; Matthew B. Sullivan; Curtis A. Suttle; Lionel Guidi; Hiroyuki Ogata
        iScience, 22 Jan. 2021, Peer-reviewed
      • Eukaryotic virus composition can predict the efficiency of carbon export in the global ocean
        Hiroto Kaneko; Romain Blanc-Mathieu; Hisashi Endo; Samuel Chaffron; Tom O. Delmont; Morgan Gaia; Nicolas Henry; Rodrigo Hernández-Velázquez; Canh Hao Nguyen; Hiroshi Mamitsuka; Patrick Forterre; Olivier Jaillon; Colomban de Vargas; Matthew B. Sullivan; Curtis A. Suttle; Lionel Guidi; Hiroyuki Ogata
        iScience, Jan. 2021
      • Structured Learning in Biological Domain
        Canh Hao Nguyen
        Journal of Systems Science and Systems Engineering, Aug. 2020, Peer-reviewed, Invited, Lead author, Corresponding author
      • Learning on Hypergraphs with Sparsity
        Hao Canh Nguyen; Hiroshi Mamitsuka
        IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020, Peer-reviewed
      • A survey on adverse drug reaction studies: data, tasks and machine learning methods.
        Duc Anh Nguyen; Canh Hao Nguyen; Hiroshi Mamitsuka
        Briefings in bioinformatics, 15 Dec. 2019, Peer-reviewed
      • Multiplicative Sparse Feature Decomposition for Efficient Multi-View Multi-Task Learning
        Lu Sun; Canh Hao Nguyen; Hiroshi Mamitsuka
        Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, Aug. 2019, Peer-reviewed
      • Fast and Robust Multi-View Multi-Task Learning via Group Sparsity
        Lu Sun; Canh Hao Nguyen; Hiroshi Mamitsuka
        Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), 2019, Peer-reviewed
      • ADAPTIVE: leArning DAta-dePendenT, concIse molecular VEctors for fast, accurate metabolite identification from tandem mass spectra
        Dai Hai Nguyen; Canh Hao Nguyen; Hiroshi Mamitsuka
        Bioinformatics, 2019, Peer-reviewed
      • Integrated Uncertainty in Knowledge Modelling and Decision Making
        Hirosato Seki; Canh Hao Nguyen; Van-Nam Huynh; Masahiro Inuiguchi
        Lecture Notes in Computer Science, 2019, Peer-reviewed
      • A p-Laplacian random walk: application to video games
        Nicolas Wicker; Canh Hao Nguyen; Hiroshi Mamitsuka
        Austrian Journal of Statistics, 2019, Peer-reviewed
      • SIMPLE: Sparse Interaction Model over Peaks of MoLEcules for Fast, Interpretable Metabolite Identification from Tandem Mass Spectra
        Dai Hai Nguyen; Canh Hao Nguyen; Hiroshi Mamitsuka
        Bioinformatics, (Proceedings of the 26th International Conference on Intelligent Systems for Molecular Biology (ISMB 2018), Jul. 2018, Peer-reviewed
      • Recent advances and prospects of computational methods for metabolite identification: a review with emphasis on machine learning approaches
        Dai Hai Nguyen; Canh Hao Nguyen; Hiroshi Mamitsuka
        Briefings in Bioinformatics, 2018, Peer-reviewed
      • NMRPro: an integrated web component for interactive processing and visualization of NMR spectra
        Ahmed Mohamed; Canh Hao Nguyen; Hiroshi Mamitsuka
        BIOINFORMATICS, Jul. 2016, Peer-reviewed
      • New Resistance Distances with Global Information on Large Graphs
        Canh Hao Nguyen; Hiroshi Mamitsuka
        JMLR Workshop and Conference Proceedings. Volume 51: Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, May 2016, Peer-reviewed
      • Current status and prospects of computational resources for natural product dereplication: a review
        Ahmed Mohamed; Canh Hao Nguyen; Hiroshi Mamitsuka
        BRIEFINGS IN BIOINFORMATICS, Mar. 2016, Peer-reviewed
      • Some Properties of a Dissimilarity Measure for Labeled Graphs
        Nicolas Wicker; Canh Hao Nguyen; Hiroshi Mamitsuka
        Publications Mathematiques de Besancon, 2016, Peer-reviewed
      • NetPathMiner: R/Bioconductor package for network path mining through gene expression
        Ahmed Mohamed; Timothy Hancock; Canh Hao Nguyen; Hiroshi Mamitsuka
        BIOINFORMATICS, Nov. 2014, Peer-reviewed
      • Selecting Graph Cut Solutions via Global Graph Similarity
        Canh Hao Nguyen; Nicolas Wicker; Hiroshi Mamitsuka
        IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, Jul. 2014, Peer-reviewed
      • A new dissimilarity measure for comparing labeled graphs
        Nicolas Wicker; Canh Hao Nguyen; Hiroshi Mamitsuka
        LINEAR ALGEBRA AND ITS APPLICATIONS, Mar. 2013, Peer-reviewed
      • A new dissimilarity measure for comparing labeled graphs
        Nicolas Wicker; Canh Hao Nguyen; Hiroshi Mamitsuka
        LINEAR ALGEBRA AND ITS APPLICATIONS, Mar. 2013, Peer-reviewed
      • Latent Feature Kernels for Link Prediction on Sparse Graphs
        Canh Hao Nguyen; Hiroshi Mamitsuka
        IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, Nov. 2012, Peer-reviewed
      • Discriminative Graph Embedding for Label Propagation
        Canh Hao Nguyen; Hiroshi Mamitsuka
        IEEE TRANSACTIONS ON NEURAL NETWORKS, Sep. 2011, Peer-reviewed
      • Kernels for Link Prediction with Latent Feature Models
        Canh Hao Nguyen; Hiroshi Mamitsuka
        MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, PT II, 2011, Peer-reviewed
      • An efficient kernel matrix evaluation measure
        Canh Hao Nguyen; Tu Bao Ho
        PATTERN RECOGNITION, Nov. 2008, Peer-reviewed
      • Simple but effective methods for combining kernels in computational biology
        Hiroaki Tanabe; Tu Bao Ho; Canh Hao Nguyen; Saori Kawasaki
        RIVF 2008 - 2008 IEEE International Conference on Research, Innovation and Vision for the Future in Computing and Communication Technologies, 2008, Peer-reviewed
      • Estimating quality of support vector machines learning under probabilistic and interval uncertainty: Algorithms and computational complexity
        Canh Hao Nguyen; Mi Bao Ho; Vladik Kreinovich
        INTERVAL / PROBABILISTIC UNCERTAINTY AND NON-CLASSICAL LOGICS, 2008, Peer-reviewed
      • Integration of learning methods, medical literature and expert inspection in medical data mining
        Tu Bao Ho; Saori Kawasaki; Katsuhiko Takabayashi; Canh Hao Nguyen
        IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, Oct. 2007, Peer-reviewed
      • Exploiting temporal relations in mining hepatitis data
        Tu-Bao Ho; Canh-Hao Nguyen; Saori Kawasaki; Si-Quang Le; Katsuhiko Takabayashi
        NEW GENERATION COMPUTING, 2007, Peer-reviewed
      • Kernel matrix evaluation
        C.H. Nguyen; T.B. Ho
        IJCAI International Joint Conference on Artificial Intelligence, 2007, Peer-reviewed
      • Temporal relations extraction in mining hepatitis data
        Tu Bao Ho; Canh Hao Nguyen; Saori Kawasaki; Katsuhiko Takabayashi
        ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PROCEEDINGS, 2007, Peer-reviewed
      • An imbalanced data rule learner
        CH Nguyen; TB Ho
        KNOWLEDGE DISCOVERY IN DATABASES: PKDD 2005, 2005, Peer-reviewed

      External funds: Kakenhi

      • Machine Learning on Large Graphs
        Grant-in-Aid for Scientific Research (C)
        Basic Section 61030:Intelligent informatics-related
        Kyoto University
        NGUYEN Canh・Hao
        From 01 Apr. 2018, To 31 Mar. 2023, Granted
        large graph;machine learning;graph neural networks;Convex clustering;graph Laplacian;hypergraph;sparsistency;Learning on graphs;distances on graphs;semi-supervised learning;graph embedding
      • Estimating data structure embedded in semi-structured data
        Grant-in-Aid for Scientific Research (B)
        Kyoto University
        Hiroshi Mamitsuka
        From 01 Apr. 2012, To 31 Mar. 2016, Project Closed
        知識発見とデータマイニング;グラフマイニング;機械学習;生体生命情報学;人工知能;ゲノム;プロテオーム
      • Machine Learning for Structure-Rich Data-Scarce Domains
        Grant-in-Aid for Scientific Research (C)
        Basic Section 61030:Intelligent informatics-related
        Kyoto University
        NGUYEN Canh・Hao
        From 01 Apr. 2022, To 31 Mar. 2025, Granted
        Machine learning;Structured data;Deep learning;Sparse learning
      list
        Last Updated :2023/09/22

        Education

        Teaching subject(s)

        • From 01 Apr. 2023, To 31 Mar. 2024
          Research Proposal Writing Practice B
          8403, Year-long, Graduate School of Pharmaceutical Sciences, 1
        • From 01 Apr. 2023, To 31 Mar. 2024
          Research Proposal Writing Practice A
          8402, Year-long, Graduate School of Pharmaceutical Sciences, 1
        • From 01 Apr. 2023, To 31 Mar. 2024
          Pharmaceutical Laboratory Coaching Practice A
          8301, Year-long, Graduate School of Pharmaceutical Sciences, 1
        • From 01 Apr. 2023, To 31 Mar. 2024
          Medicinal Frontier Science Research B
          8407, Year-long, Graduate School of Pharmaceutical Sciences, 4
        • From 01 Apr. 2023, To 31 Mar. 2024
          Medicinal Frontier Science Research A
          8406, Year-long, Graduate School of Pharmaceutical Sciences, 4
        • From 01 Apr. 2023, To 31 Mar. 2024
          Skill Development for Chemoinformatics
          5002, Year-long, Graduate School of Pharmaceutical Sciences, 4
        • From 01 Apr. 2023, To 31 Mar. 2024
          Seminar on Critical Reading of Scientific Papers B
          8405, Year-long, Graduate School of Pharmaceutical Sciences, 2
        • From 01 Apr. 2023, To 31 Mar. 2024
          Seminar on Critical Reading of Scientific Papers A
          8404, Year-long, Graduate School of Pharmaceutical Sciences, 2
        • From 01 Apr. 2023, To 31 Mar. 2024
          Introduction to Bioinformatics for Drug Discovery
          8104, Spring, Graduate School of Pharmaceutical Sciences, 2
        • From 01 Apr. 2023, To 31 Mar. 2024
          Introduction to Bioinformatics for Drug Discovery
          1114, Spring, Graduate School of Pharmaceutical Sciences, 2
        • From 01 Apr. 2022, To 31 Mar. 2023
          Pharmaceutical Laboratory Coaching Practice A
          8301, Year-long, Graduate School of Pharmaceutical Sciences, 1
        • From 01 Apr. 2022, To 31 Mar. 2023
          Skill Development for Chemoinformatics
          5002, Year-long, Graduate School of Pharmaceutical Sciences, 4
        • From 01 Apr. 2022, To 31 Mar. 2023
          Seminar on Critical Reading of Scientific Papers A
          8404, Year-long, Graduate School of Pharmaceutical Sciences, 2
        • From 01 Apr. 2022, To 31 Mar. 2023
          Introduction to Bioinformatics for Drug Discovery
          1114, Spring, Graduate School of Pharmaceutical Sciences, 2
        • From 01 Apr. 2022, To 31 Mar. 2023
          Research Proposal Writing Practice A
          8402, Year-long, Graduate School of Pharmaceutical Sciences, 1
        • From 01 Apr. 2022, To 31 Mar. 2023
          Introduction to Bioinformatics for Drug Discovery
          8104, Spring, Graduate School of Pharmaceutical Sciences, 2
        • From 01 Apr. 2022, To 31 Mar. 2023
          Medical Frontier Science Research A
          8406, Year-long, Graduate School of Pharmaceutical Sciences, 4
        • From Apr. 2014, To Mar. 2015
          Introduction to Bioinformatics
          Spring, 薬学研究科
        • From Apr. 2014, To Mar. 2015
          Skill Development for Chemoinformatics
          Year-long, 薬学研究科
        • From Apr. 2015, To Mar. 2016
          Skill Development for Chemoinformatics
          Year-long, 薬学研究科
        • From Apr. 2015, To Mar. 2016
          Introduction to Bioinformatics
          Spring, 薬学研究科
        • From Apr. 2016, To Mar. 2017
          Skill Development for Chemoinformatics
          Year-long, 薬学研究科
        • From Apr. 2016, To Mar. 2017
          Introduction to Bioinformatics
          Spring, 薬学研究科
        • From Apr. 2017, To Mar. 2018
          Introduction to Bioinformatics for Drug Discovery
          Spring, 薬学研究科
        • From Apr. 2017, To Mar. 2018
          Skill Development for Chemoinformatics
          Year-long, 薬学研究科
        • From Apr. 2018, To Mar. 2019
          Introduction to Bioinformatics for Drug Discovery
          Spring, 薬学研究科
        • From Apr. 2018, To Mar. 2019
          Skill Development for Chemoinformatics
          Year-long, 薬学研究科
        • From Apr. 2019, To Mar. 2020
          Introduction to Bioinformatics for Drug Discovery
          Spring, 薬学研究科
        • From Apr. 2019, To Mar. 2020
          Skill Development for Chemoinformatics
          Year-long, 薬学研究科
        • From Apr. 2020, To Mar. 2021
          Introduction to Bioinformatics for Drug Discovery
          Spring, 薬学研究科
        • From Apr. 2020, To Mar. 2021
          Skill Development for Chemoinformatics
          Year-long, 薬学研究科
        • From Apr. 2021, To Mar. 2022
          Introduction to Bioinformatics for Drug Discovery
          Spring, 薬学研究科
        • From Apr. 2021, To Mar. 2022
          Skill Development for Chemoinformatics
          Year-long, 薬学研究科
        list
          Last Updated :2023/09/22

          Administration

          Faculty management (title, position)

          • From 01 Apr. 2015, To 31 Mar. 2016
            化学研究所情報システム技術委員会 委員
          • From 01 Apr. 2016, To 31 Mar. 2017
            化学研究所情報システム技術委員会 委員
          • From 01 Apr. 2017, To 31 Mar. 2018
            化学研究所情報システム技術委員会 委員
          • From 01 Apr. 2018, To 31 Mar. 2019
            化学研究所情報システム技術委員会 委員
          • From 01 Apr. 2019, To 31 Mar. 2020
            化学研究所情報システム技術委員会 委員
          • From 01 Apr. 2020, To 31 Mar. 2021
            化学研究所情報システム技術委員会委員
          • From 01 Apr. 2021, To 31 Mar. 2022
            化学研究所情報システム技術委員会委員

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