| Cross-domain adaptive clustering for semi-supervised domain adaptation J Li, G Li, Y Shi, Y Yu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 120 | 2021 |
| Mutual learning of complementary networks via residual correction for improving semi-supervised classification S Wu, J Li, C Liu, Z Yu, HS Wong Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 36 | 2019 |
| Enhancing TripleGAN for semi-supervised conditional instance synthesis and classification S Wu, G Deng, J Li, R Li, Z Yu, HS Wong Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 35 | 2019 |
| Neighborhood collective estimation for noisy label identification and correction J Li, G Li, F Liu, Y Yu European Conference on Computer Vision, 128-145, 2022 | 29 | 2022 |
| Semi-supervised deep coupled ensemble learning with classification landmark exploration J Li, S Wu, C Liu, Z Yu, HS Wong IEEE Transactions on Image Processing 29, 538-550, 2019 | 28 | 2019 |
| Divide and adapt: Active domain adaptation via customized learning D Huang, J Li, W Chen, J Huang, Z Chai, G Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 20 | 2023 |
| Relation classification via keyword-attentive sentence mechanism and synthetic stimulation loss L Li, J Wang, J Li, Q Ma, J Wei IEEE/ACM Transactions on Audio, Speech, and Language Processing 27 (9), 1392 …, 2019 | 17 | 2019 |
| Adaptive betweenness clustering for semi-supervised domain adaptation J Li, G Li, Y Yu IEEE Transactions on Image Processing, 2023 | 8 | 2023 |
| Alignsam: Aligning segment anything model to open context via reinforcement learning D Huang, X Xiong, J Ma, J Li, Z Jie, L Ma, G Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 6 | 2024 |
| Inter-domain mixup for semi-supervised domain adaptation J Li, G Li, Y Yu Pattern Recognition 146, 110023, 2024 | 5 | 2024 |
| Learning background prompts to discover implicit knowledge for open vocabulary object detection J Li, J Zhang, J Li, G Li, S Liu, L Lin, G Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 4 | 2024 |
| FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels J Li, G Li, H Cheng, Z Liao, Y Yu Proceedings of the AAAI Conference on Artificial Intelligence 38 (4), 3118-3126, 2024 | 2 | 2024 |
Yizhou YuThe University of Hong Kong, IEEE FellowVerified email at acm.org
