Rethinking maximum mean discrepancy for visual domain adaptation W Wang, H Li, Z Ding, F Nie, J Chen, X Dong, Z Wang IEEE Transactions on Neural Networks and Learning Systems 34 (1), 264-277, 2021 | 129* | 2021 |
Promptrestorer: A prompting image restoration method with degradation perception C Wang, J Pan, W Wang, J Dong, M Wang, Y Ju, J Chen Advances in Neural Information Processing Systems 36, 8898-8912, 2023 | 49 | 2023 |
Selfpromer: Self-prompt dehazing transformers with depth-consistency C Wang, J Pan, W Lin, J Dong, W Wang, XM Wu Proceedings of the AAAI Conference on Artificial Intelligence 38 (6), 5327-5335, 2024 | 38 | 2024 |
Reducing bi-level feature redundancy for unsupervised domain adaptation M Wang, S Wang, W Wang, L Shen, X Zhang, L Lan, Z Luo Pattern Recognition 137, 109319, 2023 | 35* | 2023 |
Confidence regularized label propagation based domain adaptation W Wang, B Li, M Wang, F Nie, Z Wang, H Li IEEE Transactions on Circuits and Systems for Video Technology 32 (6), 3319-3333, 2021 | 28 | 2021 |
Self-training enhanced: Network embedding and overlapping community detection with adversarial learning J Chen, Z Gong, J Mo, W Wang, C Wang, X Dong, W Liu, K Wu IEEE Transactions on Neural Networks and Learning Systems 33 (11), 6737-6748, 2021 | 28 | 2021 |
Joint adaptive dual graph and feature selection for domain adaptation J Sun, Z Wang, W Wang, H Li, F Sun, Z Ding IEEE Transactions on Circuits and Systems for Video Technology 32 (3), 1453-1466, 2021 | 27 | 2021 |
Interbn: Channel fusion for adversarial unsupervised domain adaptation M Wang, W Wang, B Li, X Zhang, L Lan, H Tan, T Liang, W Yu, Z Luo Proceedings of the 29th ACM international conference on multimedia, 3691-3700, 2021 | 26 | 2021 |
Informative pairs mining based adaptive metric learning for adversarial domain adaptation M Wang, P Li, L Shen, Y Wang, S Wang, W Wang, X Zhang, J Chen, ... Neural Networks 151, 238-249, 2022 | 24 | 2022 |
Correlation Matching Transformation Transformers for UHD Image Restoration C Wang, J Pan, W Wang, G Fu, S Liang, M Wang, XM Wu, J Liu Proceedings of the AAAI Conference on Artificial Intelligence 38 (6), 5336-5344, 2024 | 22 | 2024 |
Inter-Class and Inter-Domain Semantic Augmentation for Domain Generalization M Wang, Y Liu, J Yuan, S Wang, Z Wang, W Wang* IEEE Transactions on Image Processing, 2024 | 21 | 2024 |
Domain adaptation with geometrical preservation and distribution alignment J Sun, Z Wang, W Wang, H Li, F Sun Neurocomputing 454, 152-167, 2021 | 19 | 2021 |
Sparsely-labeled source assisted domain adaptation W Wang, S Chen, Y Xiang, J Sun, H Li, Z Wang, F Sun, Z Ding, B Li Pattern Recognition 112, 107803, 2021 | 18 | 2021 |
VisionGraph: Leveraging Large Multimodal Models for Graph Theory Problems in Visual Context Y Li, B Hu, H Shi, W Wang, L Wang, M Zhang ICML24, 2024 | 16 | 2024 |
Transfer robust sparse coding based on graph and joint distribution adaption for image representation P Zhao, W Wang, Y Lu, H Liu, S Yao Knowledge-Based Systems 147, 1-11, 2018 | 14 | 2018 |
A Closer Look at Classifier in Adversarial Domain Generalization Y Wang, J Chen, M Wang, H Li, W Wang*, H Su, Z Lai, W Wang, Z Chen Proceedings of the 31st ACM International Conference on Multimedia, 280-289, 2023 | 12 | 2023 |
A unified joint maximum mean discrepancy for domain adaptation W Wang, B Li, S Yang, J Sun, Z Ding, J Chen, X Dong, Z Wang, H Li arXiv preprint arXiv:2101.09979, 2021 | 12 | 2021 |
Cost affinity learning network for stereo matching S Chen, B Li, W Wang, H Zhang, H Li, Z Wang ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 11 | 2021 |
MOCOLNet: A Momentum Contrastive Learning Network for Multimodal Aspect-Level Sentiment Analysis J Mu, F Nie, W Wang*, J Xu, J Zhang, H Liu IEEE Transactions on Knowledge and Data Engineering, 2023 | 10 | 2023 |
Boosting unsupervised domain adaptation: A Fourier approach M Wang, S Wang, Y Wang, W Wang, T Liang, J Chen, Z Luo Knowledge-Based Systems 264, 110325, 2023 | 10 | 2023 |