Haonan Huang bio photo

Haonan Huang

Postdoctoral Researcher, RIKEN AIP, Tokyo, Japan

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Research

    Selected Publications

    Summary of my publications (by Aug., 2026): I have published 22 papers including 14 peer-reviewed journal papers (9 SCI JCR-Q1 papers), 8 peer-reviewed conference papers (including 4 toptier AI conference papers: 2 ICML, 1 NeurIPS and 1 CVPR). These papers have received over 300 citations (Source: Google Scholar). My h-index is 11 and i10-index is 14.

  1. A. Wang, Y. Qiu, H. Huang, Z. Jin, G. Zhou and Q. Zhao, "Towards a Geometric Understanding of Tensor Learning via the t-Product", The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025. [Paper]

  2. Y. Qiu, A. Wang, C. Li, H. Huang, G. Zhou and Q. Zhao, "STEPS: Sequential Probability Tensor Estimation for Text-to-Image Hard Prompt Search", IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2025. [Paper] [Code for Python]

  3. Y. Zheng, G. Zhou, H. Huang, X. Luo, Z. Huang and Q. Zhao, "Unifying Complete and Incomplete Multi-View Clustering through An Information-Theoretic Generative Model", Neural Networks, 2024. [Paper] [Code for Python]

  4. H. Huang, G. Zhou, Y. Zheng, Y. Qiu, A. Wang and Q. Zhao, "Adversarially Robust Deep Multi-View Clustering: A Novel Attack and Defense Framework", International Conference on Machine Learning (ICML), 2024. [Paper] [Code for Python]

  5. H. Huang, G. Zhou, Y. Zheng, Z. Yang and Q. Zhao, "Exclusivity and Consistency induced NMF for Multi-view Representation Learning", Knowledge-Based Systems (KBS), 2023. [Paper] [Code for Matlab]

  6. H. Huang, G. Zhou, Q. Zhao, L. He and S. Xie, "Comprehensive Multi-view Representation Learning via Deep Autoencoder-like Nonnegative Matrix Factorization", IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023. [Paper] [Code for Matlab] (Expanded version of our ICASSP'22)

  7. J. Yu, H. Huang, Q. Duan, Y. Wang and T. Zou, "Incomplete Multiview Clustering via Low-Rank Tensor Ring Completion", International Journal of Intelligent Systems (IJIS), 2023. [Paper]

  8. H. Huang, G. Zhou, N. Liang, Q. Zhao and S. Xie, "Diverse Deep Matrix Factorization with Hypergraph Regularization for Multi-view Data Representation", IEEE/CAA Journal of Automatica Sinica (IEEE JAS), 2022. [Paper] [Code for Matlab]

  9. Y. Yu, G. Zhou, H. Huang, S. Xie and Q. Zhao, "A semi-supervised label-driven auto-weighted strategy for multi-view data classification", Knowledge-Based Systems (KBS), 2022. [Paper] [Code for Matlab]


    10. Services

    Conferences

    Reviewer for NeurIPS, ICML, ICLR, CVPR, ACML, and ICASSP; Program Committee Member for IJCAI, AAAI, and ECAI; Area Chair for ICLR and ICLR Workshop DeLTa; International Volunteer for WINE.

    Journals

    Reviewer for IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Systems, Man, and Cybernetics: Systems, IEEE Transactions on Signal Processing, IEEE Transactions on Circuits and Systems for Video Technology, Pattern Recognition, Neural Network, Knowledge-Based Systems, The Journal of Supercomputing, International Journal of Machine Learning and Cybernetics, Neural Processing Letters, Knowledge and Information Systems, Information Fusion, Neurocomputing, Information Sciences, and International Journal of Approximate Reasoning.

    Talks

    • [2024.09.10] AI Workshop University of Sydney
    • [2024.09.10] Tensor Learning Team Seminar (online), RIKEN AIP
    • [2024.05.27] Tensor Analysis and Machine Intelligence Lab Seminar, Guangdong University of Technology

    Grants

    • [2026 - 2028] JSPS, KAKENHI, Early-Career Scientists