| Model adaptation: Unsupervised domain adaptation without source data R Li, Q Jiao, W Cao, HS Wong, S Wu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 483 | 2020 |
| Simplified unsupervised image translation for semantic segmentation adaptation R Li, W Cao, Q Jiao, S Wu, HS Wong Pattern Recognition 105, 107343, 2020 | 62 | 2020 |
| 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 | 33 | 2019 |
| Generating target image-label pairs for unsupervised domain adaptation R Li, W Cao, S Wu, HS Wong IEEE Transactions on Image Processing 29, 7997-8011, 2020 | 26 | 2020 |
| Unsupervised discriminative feature learning via finding a clustering-friendly embedding space W Cao, Z Zhang, C Liu, R Li, Q Jiao, Z Yu, HS Wong Pattern Recognition 129, 108768, 2022 | 24 | 2022 |
| Self-supervised graph completion for incomplete multi-view clustering C Liu, S Wu, R Li, D Jiang, HS Wong IEEE Transactions on Knowledge and Data Engineering, 2023 | 20 | 2023 |
| Self-guided partial graph propagation for incomplete multiview clustering C Liu, R Li, S Wu, H Che, D Jiang, Z Yu, HS Wong IEEE Transactions on Neural Networks and Learning Systems, 2023 | 17 | 2023 |
| Improving domain-specific classification by collaborative learning with adaptation networks S Wu, J Zhong, W Cao, R Li, Z Yu, HS Wong Proceedings of the AAAI conference on artificial intelligence 33 (01), 5450-5457, 2019 | 16 | 2019 |
| DDAT: Dual domain adaptive translation for low-resolution face verification in the wild Q Jiao, R Li, W Cao, J Zhong, S Wu, HS Wong Pattern Recognition 120, 108107, 2021 | 12 | 2021 |
| Semi-supervised human detection via region proposal networks aided by verification S Wu, W Wu, S Lei, S Lin, R Li, Z Yu, HS Wong IEEE Transactions on Image Processing 29, 1562-1574, 2019 | 8 | 2019 |
| Efficient dynamic feature adaptation for cross language sentiment analysis with biased adversarial training R Li, C Liu, D Jiang Knowledge-Based Systems 279, 110957, 2023 | 2 | 2023 |
| Asymmetric mutual learning for multi-source unsupervised sentiment adaptation with dynamic feature network R Li, C Liu, D Jiang Proceedings of the 29th International Conference on Computational …, 2022 | 1 | 2022 |
| Self-supervised gan for image generation by correlating image channels S Qian, W Cao, R Li, S Wu, H Wong Advances in Multimedia Information Processing–PCM 2018: 19th Pacific-Rim …, 2018 | 1 | 2018 |
| Learning More from Mixed Emotions: A Label Refinement Method for Emotion Recognition in Conversations J Wen, G Tu, R Li, D Jiang, W Zhu Transactions of the Association for Computational Linguistics 11, 1485-1499, 2023 | | 2023 |
| Learning robust features alignment for cross-domain medical image analysis Z Zheng, R Li, C Liu Complex & Intelligent Systems, 1-15, 2023 | | 2023 |
| Unsupervised Ensemble Learning Via Network Generation Z Zhang, W Cao, C Liu, R Li, Q Jiao, Z Yu, CLP Chen, HS Wong 2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021 | | 2021 |
| Cross-domain Semantic Feature Learning via Adversarial Adaptation Networks R Li, W Cao, S Qian, HS Wong, S Wu 2018 24th International Conference on Pattern Recognition (ICPR), 37-42, 2018 | | 2018 |
| Efficient Direct Structured Subspace Clustering W Cao, R Li, S Qian, S Wu, HS Wong Neural Information Processing: 25th International Conference, ICONIP 2018 …, 2018 | | 2018 |
| Coupled Learning for Image Generation and Latent Representation Inference Using MMD S Qian, W Cao, R Li, S Wu, H Wong Advances in Multimedia Information Processing–PCM 2018: 19th Pacific-Rim …, 2018 | | 2018 |
Hau-San WongProfessor, Department of Computer Science, City University of Hong KongVerified email at cityu.edu.hk
