RIKEN Center for Advanced Intelligence Project Tensor Learning Team
Team Director: Qibin Zhao (D.Eng.)
Research Summary
Modern machine learning technologies often demand vast amounts of data, large-scale models, and considerable computational resources, which also results in challenges related to the reliability and interpretability of well-trained models. Our team aims to develop efficient, robust, and interpretable machine learning models and algorithms, along with their theoretical analysis. We focus on several key directions including tensor methods for machine learning, robust and interpretable machine learning and quantum machine learning. Our research spans various areas such as self-supervised learning, unsupervised representation learning, multi-modal learning and deep generative models. We also seek collaborations in practical domains such as brain-computer interfaces, medical diagnosis, and etc.
Main Research Fields
- Informatics
Related Research Fields
- Intelligent informatics
- Perceptual information processing
Keywords
- Tensor factorization and tensor networks
- Tensor factorization and tensor networks
- Robust and interpretable machine learning
- Quantum machine learning
Selected Publications
- 1.
Wang, A., Qiu, Y., Bai, M., Jin, Z., Zhou, G., and Zhao, Q.:
"Generalized Tensor Decomposition for Understanding Multi-Output Regression under Combinatorial Shifts"
Neural Information Processing Systems (NeurIPS 2024) - 2.
Zeng, J., Li, C., Sun, Z., Zhao, Q., and Zhou, G.:
"tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs)"
International Conference on Machine Learning (ICML 2024) - 3.
Zhou, W., Bai, S., Yu, S., Zhao, Q., and Chen, B.:
"Jacobian Regularizer-based Neural Granger Causality"
International Conference on Machine Learning (ICML 2024) - 4.
Bai, M., Huang, W., Li, T., Wang, A., Gao, J., Caiafa, C.F., and Zhao, Q.:
"Diffusion Models Demand Contrastive Guidance for Adversarial Purification to Advance"
International Conference on Machine Learning (ICML 2024) - 5.
Huang, H., Zhou, G., Zheng, Y., Qiu, Y., Wang, A. and Zhao, Q.:
"Adversarially Robust Deep Multi-View Clustering: A Novel Attack and Defense Framework"
International Conference on Machine Learning (ICML 2024) - 6.
Zheng, Y., Zhao, X., Zeng, J., Li, C., Zhao, Q., Li, H., and Huang, T.:
"SVDinsTN: A tensor network paradigm for efficient structure search from regularized modeling perspective"
IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR 2024) - 7.
Lin, G., Li, C., Zhang, J., Tanaka, T., and Zhao, Q.:
"Adversarial training on purification (AToP): Advancing both robustness and generalization"
International Conference on Learning Representations (ICLR 2024) - 8.
Qiu, Y., Zhou, G., Wang, A., Huang, Z. and Zhao, Q.:
"Towards multi-mode outlier robust tensor ring decomposition"
AAAI Conference on Artificial Intelligence (AAAI 2024) - 9.
Tao, Z., Tanaka, T., and Zhao, Q.:
"Efficient nonparametric tensor decomposition for binary and count data"
AAAI Conference on Artificial Intelligence (AAAI 2024) - 10.
Tao, Z., Tanaka, T., and Zhao, Q.:
"Undirected Probabilistic Model for Tensor Decomposition"
Neural Information Processing Systems (NeurIPS 2023)
Events
- International workshop on Tensor Models for Machine Learning: Empowering Efficiency, lnterpretability, and Reliability (IEEE CAI conference)
- The second workshop on Quantum Tensor Networks in Machine Learning (NeurIPS 2021 conference)
- The first workshop on Quantum Tensor Networks in Machine Learning (NeurIPS 2020 conference)
- International Workshop on Tensor Network Representations in Machine Learning
Related Links
Lab Members
Principal investigator
- Qibin Zhao
- Team Director
Core members
- Chao Li
- Research Scientist
- Yuning Qiu
- Special Postdoctoral Researcher
- Andong Wang
- Postdoctoral Researcher
- Mingyuan Bai
- Postdoctoral Researcher
- Zerui Tao
- Postdoctoral Researcher
- Haonan Huang
- Postdoctoral Researcher
- Jianting Cao
- Senior Visiting Scientist
- Andrzej Cichocki
- Senior Visiting Scientist
- Toshihisa Tanaka
- Visiting Scientist
- Tatsuya Yokota
- Visiting Scientist
- Cesar Caiafa
- Visiting Scientist
- Tenghui Li
- International Program Associate
- Dongping Zhang
- International Program Associate
- Yunsong Deng
- Student Trainee
- Hangjie Yi
- Student Trainee
- Guang Lin
- Junior Research Associate
- Yaswitha Gujju
- Research Part-time Worker I
- Peilin Yang
- Research Part-time Worker I
- Yuchen Cong
- Research Part-time Worker II
Contact Information
Nihonbashi 1-chome Mitsui Building, 15th floor,
1-4-1 Nihonbashi,
Chuo-ku, Tokyo
103-0027, Japan
Email: qibin.zhao@riken.jp