| Semi-supervised dimension reduction based on hypergraph embedding for hyperspectral images W Du, W Qiang, M Lv, Q Hou, L Zhen, L Jing International journal of remote sensing 39 (6), 1696-1712, 2018 | 26 | 2018 |
| MetAug: Contrastive Learning via Meta Feature Augmentation J Li*, W Qiang*, C Zheng, B Su, H Xiong International Conference on Machine Learning, 12964--12978, 2022 | 22 | 2022 |
| Robust local preserving and global aligning network for adversarial domain adaptation W Qiang, J Li, C Zheng, B Su, H Xiong IEEE Transactions on Knowledge and Data Engineering 35 (3), 3014-3029, 2021 | 21 | 2021 |
| Interventional contrastive learning with meta semantic regularizer W Qiang, J Li, C Zheng, B Su, H Xiong International Conference on Machine Learning, 18018-18030, 2022 | 18 | 2022 |
| Meta attention-generation network for cross-granularity few-shot learning W Qiang, J Li, B Su, J Fu, H Xiong, JR Wen International Journal of Computer Vision 131 (5), 1211-1233, 2023 | 13 | 2023 |
| Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from A Conditional Causal Perspective J Li*, Y Zhang*, W Qiang, L Si, C Jiao, X Hu, C Zheng, F Sun AAAI Conference on Artificial Intelligence (AAAI), 2023 | 10 | 2023 |
| Bootstrapping Informative Graph Augmentation via A Meta Learning Approach H Gao, J Li, W Qiang, L Si, C Zheng, F Sun International Joint Conference on Artificial Intelligence (IJCAI) 2022, 2022 | 10 | 2022 |
| Robust weighted linear loss twin multi-class support vector regression for large-scale classification W Qiang, J Zhang, L Zhen, L Jing Signal Processing 170, 107449, 2020 | 10 | 2020 |
| Auxiliary task guided mean and covariance alignment network for adversarial domain adaptation W Qiang, J Li, C Zheng, B Su Knowledge-Based Systems 223, 107066, 2021 | 9 | 2021 |
| RHMC: Modeling consistent information from deep multiple views via Regularized and Hybrid Multiview Coding J Li*, W Qiang*, C Zheng, B Su Knowledge-Based Systems 241, 108201, 2022 | 8 | 2022 |
| MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning J Li*, W Qiang*, Y Zhang, W Mo, C Zheng, B Su, H Xiong Neural Information Processing Systems (NeurIPS), 2022 | 8 | 2022 |
| Supporting vision-language model inference with causality-pruning knowledge prompt J Li, W Mo, W Qiang, B Su, C Zheng arXiv preprint arXiv:2205.11100, 2022 | 7 | 2022 |
| Robust Causal Graph Representation Learning against Confounding Effects H Gao*, J Li*, W Qiang, L Si, B Xu, C Zheng, F Sun AAAI Conference on Artificial Intelligence (AAAI), 2023 | 6 | 2023 |
| Feature extraction framework based on contrastive learning with adaptive positive and negative samples H Zhang, S Zhao, W Qiang, Y Chen, L Jing Neural Networks 156, 244-257, 2022 | 5 | 2022 |
| Modeling Multiple Views via Implicitly Preserving Global Consistency and Local Complementarity J Li*, W Qiang*, C Zheng, B Su, F Razzak, JR Wen, H Xiong IEEE Transactions on Knowledge and Data Engineering, 2022 | 5 | 2022 |
| Unified feature extraction framework based on contrastive learning H Zhang, W Qiang, J Zhang, Y Chen, L Jing Knowledge-Based Systems 258, 110028, 2022 | 4 | 2022 |
| Locality cross-view regression for feature extraction J Zhang, H Zhang, W Qiang, N Deng, L Jing Engineering Applications of Artificial Intelligence 105, 104414, 2021 | 4 | 2021 |
| A Polarimetric scattering characteristics-guided adversarial learning approach for unsupervised PolSAR image classification H Dong, L Si, W Qiang, W Miao, C Zheng, Y Wu, L Zhang Remote Sensing 15 (7), 1782, 2023 | 3 | 2023 |
| TSVM-M3: twin support vector machine based on multi-order moment matching for large-scale multi-class classification W Qiang, H Zhang, J Zhang, L Jing Applied Soft Computing 128, 109506, 2022 | 3 | 2022 |
| A novel interval-valued fuzzy multiple twin support vector machine H Ju, W Qiang, L Jing Iranian Journal of Fuzzy Systems 18 (2), 93-107, 2021 | 3 | 2021 |
Changwen Zheng中国科学院软件研究所Verified email at iscas.ac.cn
