RIKEN Center for Advanced Intelligence Project Tensor Learning Team
Team Leader: Qibin Zhao (D.Eng.)
Research Summary
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
Keywords
- 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.
Events
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
- Haonan Huang
- Intern
- Junhua Zeng
- Intern
- Jinliang Xiao
- Intern
- Jianting Cao
- Senior Visiting Scientist
- Andrzej Cichocki
- Senior Visiting Scientist
- Toshihisa Tanaka
- Visiting Scientist
- Tatsuya Yokota
- Visiting Scientist
- Xuyang Zhao
- Visiting Scientist
- Motoaki Kawanabe
- Visiting Scientist
- Keping Yu
- Visiting Scientist
- Reinmar Josef Kobler
- Visiting Scientist
- Jianfu Zhang
- 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
- Huidong Jiang
- Research Part-time Worker I
Careers
| Position | Deadline |
|---|---|
| Seeking a Postdoctoral Researcher (W23283) | Open until filled |
| Seeking a Part-time worker I or II (W22331) | 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