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RIKEN Center for Advanced Intelligence Project Tensor Learning Team

Team Leader: Qibin Zhao (D.Eng.)

Research Summary

Qibin  Zhao(D.Eng.)

The modern machine learning technology achieves remarkable success, but it requires a large amount of high-quality data, large learning models as well as high computational power for training, which also leads to the lack of reliability and interpretability of well-trained models. Our team aims to develop the innovative models and algorithms for efficient, robust, and interpretable machine learning. In particular, we develop various tensor-based methods, leveraging tensor factorization and tensor networks, for efficient and robust representation learning as well as fast computation. We also conduct research on their theoretical analysis and applications in computer vision and neuroscience fields.

Research Subjects:

  • Tensor factorization and tensor networks
  • Robust and interpretable machine learning
  • Real-world applications in computer vision and neuroscience

Main Research Fields

  • Informatics

Related Research Fields

  • Intelligent informatics
  • Perceptual information processing


  • Artificial intelligence
  • Machine learning
  • Deep learning
  • Representation learning and unsupervised learning
  • Tensor factorization and tensor networks

Selected Publications

  • 1. J. Zhang, Y. Hong, and Q. Zhao.:
    "Memorization weights for instance reweighting in adversarial training."
    In Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI), 2023.
  • 2. R. J. Kobler, J.-i. Hirayama, Q. Zhao, and M. Kawanabe.:
    "SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG."
    In Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS), 2022.
  • 3. C. Li, J. Zeng, Z. Tao, and Q. Zhao.:
    "Permutation search of tensor network structures via local sampling."
    In Proceedings of the 39th International Conference on Machine Learning (ICML), 2022.
  • 4. J. Tang, K. Li, M. Hou, X. Jin, W. Kong, Y. Ding, and Q. Zhao.:
    "MMT: Multi-way multi-modal transformer for multimodal learning."
    In Proceedings of the 31st International Joint Conference on Artificial Intelligence (IJCAI), 2022.
  • 5. T. Li, G. Zhou, Y. Qiu, and Q. Zhao.:
    "Understanding convolutional neural networks from theoretical perspective via volterra convolution."
    Journal of Machine Learning Research (JMLR), vol. 23, pp. 1-50, 2022.
  • 6. W. He, Q. Yao, C. Li, N. Yokoya, Q. Zhao, H. Zhang, and L. Zhang.:
    "Non-local meets global: An iterative paradigm for hyperspectral image restoration."
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 44, no. 4, pp. 2089-2107, 2022.
  • 7. T. Yokota, H. Hontani, Q. Zhao, and A. Cichocki.:
    "Manifold modeling in embedded space: An interpretable alternative to deep image prior."
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 33, no. 3, pp. 1022-1036, 2022.
  • 8. Y. Qiu, G. Zhou, Q. Zhao, and S. Xie.:
    "Noisy tensor completion via low-rank tensor ring."
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), pp. 1-15, 2022.
  • 9. H. Qiu, C. Li, Y. Weng, Z. Sun, X. He, and Q. Zhao.:
    "On the memory mechanism of tensor-power recurrent models."
    In Proceedings of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS), vol. 130, pp. 3682-3690. 2021.
  • 10. Y.-B. Zheng, T.-Z. Huang, X.-L. Zhao, Q. Zhao, and T.-X. Jiang.:
    "Fully-connected tensor network decomposition and its application to higher-order tensor completion."
    In Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI), vol. 35, no. 12, pp. 11071-11078, 2021.


Related Links

Lab Members

Principal investigator

Qibin Zhao
Team Leader

Core members

Chao Li
Research Scientist
Yuning Qiu
Special Postdoctoral Researcher
Andong Wang
Postdoctoral Researcher
Mingyuan Bai
Postdoctoral Researcher
Yicong He
Postdoctoral Researcher
Haonan Huang
Jinliang Xiao
Jianting Cao
Senior Visiting Scientist
Andrzej Cichocki
Senior Visiting Scientist
Toshihisa Tanaka
Visiting Scientist
Tatsuya Yokota
Visiting Scientist
Motoaki Kawanabe
Visiting Scientist
Reinmar Josef Kobler
Visiting Scientist
Jianfu Zhang
Visiting Scientist
Cesar Caiafa
Visiting Scientist
Tenghui Li
International Program Associate
Yichun Qiu
International Program Associate
Wanqi Zhou
International Program Associate
Hailin Wang
International Program Associate
Zerui Tao
Junior Research Associate
Guang Lin
Junior Research Associate
Linfeng Sui
Junior Research Associate
Duc Thien Nguyen
Junior Research Associate
Huidong Jiang
Research Part-time Worker I
Research Part-time Worker I


Position Deadline
Seeking Part-time workers I or II (W24037) Open until filled

Contact Information

Nihonbashi 1-chome Mitsui Building, 15th floor,
1-4-1 Nihonbashi,
Chuo-ku, Tokyo
103-0027, Japan

Email: qibin.zhao [at] riken.jp