RIKEN Center for Advanced Intelligence Project Tensor Learning Team
Team Leader: Qibin Zhao (D.Eng.)
Research Summary

We study various tensor-based machine learning technologies, e.g., tensor decomposition, multilinear latent variable model, tensor regression and classification, tensor networks, deep tensor learning, and Bayesian tensor learning, with aim to facilitate the learning from high-order structured data or large-scale latent space. Our goal is to develop innovative, scalable and efficient tensor learning algorithms supported by theoretical principles. The novel applications in computer vision and brain data analysis will also be explored to provide new insights into tensor learning methods.
Research Subjects:
- Tensor Decomposition and Tensor Networks
- Bayesian Tensor Learning
- Deep Tensor Learning
Main Research Fields
- Informatics
Related Research Fields
- Engineering
- Mathematical & Physical Sciences
- Biological Sciences
- Intelligent informatics
- Perceptual information processing
- Life / Health / Medical informatics
Keywords
- Artificial intelligence
- Machine learning
- Deep learning
- Tensor networks
- Signal processing
Selected Publications
- 1.
Li, C., Khan, M. E., Sun, Z., Niu, G., Han, B., Xie, S., and Zhao, Q.:
"Beyond unfolding: Exact recovery of latent convex tensor decomposition under reshuffling"
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), pp.4602-4609, 2020 - 2.
Wang, A., Li, C., Jin, Z., and Zhao, Q.:
"Robust tensor decomposition via orientation invariant tubal nuclear norms"
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), pp.6102-6109, 2020 - 3.
Hou, M., Tang, J., Zhang, J., Kong, W., and Zhao, Q.:
"Deep multimodal multilinear fusion with high-order polynomial pooling"
Advances in Neural Information Processing Systems 32 (NeurIPS 2019), pp.12136-12145, 2019. - 4.
Liang, P., Liu, Z., Tsai, Y., Zhao, Q., Salakhutdinov, R., and Morency, L.:
"Learning Representations from Imperfect Time Series Data via Tensor Rank Regularization"
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), pp.1569–1576, 2019. - 5.
Li, C., He, W., Yuan, L., Sun, Z., and Zhao, Q.:
"Guaranteed Matrix Completion Under Multiple Linear Transformations"
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.11128-11137, 2019 - 6.
He, W., Yao, Q., Li, C., Yokoya, N., and Zhao, Q.:
"Non-Local Meets Global: An Integrated Paradigm for Hyperspectral Denoising"
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 6861-6870, 2019 - 7.
Yuan, L., Li, C., Mandic, D., Cao, J., and Zhao, Q.:
"Tensor ring decomposition with rank minimization on latent space: An efficient approach for tensor completion"
The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), pp.9151-9158, 2019. - 8.
Zhao, Q., Zhou, G., Zhang, L., Cichocki, A., and Amari, S.:
"Bayesian robust tensor factorization for incomplete multiway data"
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 27(4):736-748, 2016. - 9.
Zhao, Q., Zhang, L., and Cichocki, A.:
"Bayesian CP factorization of incomplete tensors with automatic rank determination"
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 37(9):1751-1763, 2015. - 10.
Zhao, Q., Caiafa, C. F., Mandic, D. P., Zhang, L., Ball, T., Schulze-Bonhage, A., and Cichocki, A.:
"Multilinear subspace regression: an orthogonal tensor decomposition approach"
Advances in Neural Information Processing Systems 24 (NIPS), pp. 1269-1277, 2011.
Events
Related Links
Lab Members
Principal investigator
- Qibin Zhao
- Team Leader
Core members
- Chao Li
- Postdoctoral Researcher
- Jianfu Zhang
- Postdoctoral Researcher
Careers
Position | Deadline |
---|---|
Seeking a Research Scientist or Postdoctoral Researcher (W21019) | Open until filled |
Seeking a Research Scientist or Postdoctoral Researcher (W20274) | Open until filled |
Contact Information
Nihonbashi 1-chome Mitsui Building, 15th floor,
1-4-1 Nihonbashi,
Chuo-ku, Tokyo
103-0027, Japan
Tel: +81-(0)3-6225-2539
Email: qibin.zhao [at] riken.jp