Research Scientist (indefinite-term), Center for Advanced Intelligence Project (AIP), RIKEN, Japan
Vahvistettu sähköpostiosoite verkkotunnuksessa
Non-local meets global: An iterative paradigm for hyperspectral image restoration
W He, Q Yao, C Li, N Yokoya, Q Zhao, H Zhang, L Zhang
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (4), 2089-2107, 2020
Tensor ring decomposition with rank minimization on latent space: An efficient approach for tensor completion
L Yuan, C Li, D Mandic, J Cao, Q Zhao
Proceedings of the AAAI conference on artificial intelligence 33 (01), 9151-9158, 2019
Anomaly detection of spectrum in wireless communication via deep auto-encoders
Q Feng, Y Zhang, C Li, Z Dou, J Wang
The Journal of Supercomputing 73, 3161-3178, 2017
Hyperspectral super-resolution via coupled tensor ring factorization
W He, Y Chen, N Yokoya, C Li, Q Zhao
Pattern Recognition 122, 108280, 2022
Tensor-ring nuclear norm minimization and application for visual: Data completion
J Yu, C Li, Q Zhao, G Zhao
ICASSP 2019-2019 IEEE international conference on acoustics, speech and …, 2019
Self-supervised nonlinear transform-based tensor nuclear norm for multi-dimensional image recovery
YS Luo, XL Zhao, TX Jiang, Y Chang, MK Ng, C Li
IEEE Transactions on Image Processing 31, 3793-3808, 2022
Low tensor-ring rank completion by parallel matrix factorization
J Yu, G Zhou, C Li, Q Zhao, S Xie
IEEE transactions on neural networks and learning systems 32 (7), 3020-3033, 2020
Evolutionary topology search for tensor network decomposition
C Li, Z Sun
International Conference on Machine Learning, 5947-5957, 2020
Randomized tensor ring decomposition and its application to large-scale data reconstruction
L Yuan, C Li, J Cao, Q Zhao
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
Monitoring depth of anesthesia based on hybrid features and recurrent neural network
R Li, Q Wu, J Liu, Q Wu, C Li, Q Zhao
Frontiers in neuroscience 14, 26, 2020
Robust tensor decomposition via orientation invariant tubal nuclear norms
A Wang, QB Zhao, Z Jin, C Li, GX Zhou
Science China Technological Sciences 65 (6), 1300-1317, 2022
Rank minimization on tensor ring: an efficient approach for tensor decomposition and completion
L Yuan, C Li, J Cao, Q Zhao
Machine Learning 109, 603-622, 2020
Canonical polyadic decomposition with auxiliary information for brain–computer interface
J Li, C Li, A Cichocki
IEEE journal of biomedical and health informatics 21 (1), 263-271, 2015
Multi-tensor completion with common structures
C Li, Q Zhao, J Li, A Cichocki, L Guo
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
Guaranteed matrix completion under multiple linear transformations
C Li, W He, L Yuan, Z Sun, Q Zhao
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Permutation search of tensor network structures via local sampling
C Li, J Zeng, Z Tao, Q Zhao
International Conference on Machine Learning, 13106-13124, 2022
TPFN: Applying outer product along time to multimodal sentiment analysis fusion on incomplete data
B Li, C Li, F Duan, N Zheng, Q Zhao
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
A generative adversarial framework for positive-unlabeled classification
M Hou, Q Zhao, C Li, B Chaib-draa
arXiv preprint arXiv:1711.08054, 2017
Multi-level contrastive learning for self-supervised vision transformers
S Mo, Z Sun, C Li
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
Siamese prototypical contrastive learning
S Mo, Z Sun, C Li
arXiv preprint arXiv:2208.08819, 2022
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Artikkelit 1–20