| 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 | 301* | 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 | 168 | 2019 |
| Hyperspectral super-resolution via coupled tensor ring factorization W He, Y Chen, N Yokoya, C Li, Q Zhao Pattern Recognition 122, 108280, 2022 | 91 | 2022 |
| 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 | 89 | 2017 |
| 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 | 46 | 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 | 41 | 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 | 41 | 2020 |
| Evolutionary topology search for tensor network decomposition C Li, Z Sun International Conference on Machine Learning, 5947-5957, 2020 | 39 | 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 | 31 | 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 | 30 | 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 | 28 | 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 | 24 | 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 | 19* | 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 | 17 | 2015 |
| 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 | 14 | 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 | 13 | 2020 |
| 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 | 13 | 2019 |
| 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 | 10 | 2023 |
| A generative adversarial framework for positive-unlabeled classification M Hou, Q Zhao, C Li, B Chaib-draa arXiv preprint arXiv:1711.08054, 2017 | 10 | 2017 |
| Siamese prototypical contrastive learning S Mo, Z Sun, C Li arXiv preprint arXiv:2208.08819, 2022 | 9 | 2022 |
Qibin ZhaoRIKEN AIP在 postman.riken.jp 的电子邮件经过验证
