RIKEN Center for Advanced Intelligence Project Tensor Learning Team

Team Leader: Qibin Zhao (D.Eng.)

Japanese Page

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

International Workshop on Tensor Network Representations in Machine Learning

Lab Members

Principal investigator

Qibin Zhao: Team Leader

Core members

Chao Li: Research Scientist
Jianfu Zhang: Postdoctoral Researcher
Andong Wang: Postdoctoral Researcher
Reinmar Josef Kobler: Postdoctoral Researcher
Vidyadhar Upadhya: Postdoctoral Researcher
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
Zerui Tao: Junior Research Associate
Linfeng Sui: Research Part-time Worker I
Huidong Jiang: Research Part-time Worker II
Jinyu Gu: Research Part-time Worker II

Careers

Position	Deadline
Seeking a Part-time worker I or II (W22090)	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

Visiting the AIP

Email: qibin.zhao [at] riken.jp