| Meta r-cnn: Towards general solver for instance-level low-shot learning X Yan, Z Chen, A Xu, X Wang, X Liang, L Lin Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 560 | 2019 |
| Deep cocktail network: Multi-source unsupervised domain adaptation with category shift R Xu, Z Chen, W Zuo, J Yan, L Lin Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 487 | 2018 |
| Blending-target domain adaptation by adversarial meta-adaptation networks Z Chen, J Zhuang, X Liang, L Lin Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 109 | 2019 |
| Graph-evolving meta-learning for low-resource medical dialogue generation S Lin, P Zhou, X Liang, J Tang, R Zhao, Z Chen, L Lin Proceedings of the AAAI conference on artificial intelligence 35 (15), 13362 …, 2021 | 58 | 2021 |
| Cost-effective object detection: Active sample mining with switchable selection criteria K Wang, L Lin, X Yan, Z Chen, D Zhang, L Zhang IEEE transactions on neural networks and learning systems 30 (3), 834-850, 2018 | 41 | 2018 |
| Few-shot structured domain adaptation for virtual-to-real scene parsing J Zhang, Z Chen, J Huang, L Lin, D Zhang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 22 | 2019 |
| Domain adaptation for retinal vessel segmentation using asymmetrical maximum classifier discrepancy J Zhuang, Z Chen, J Zhang, D Zhang, Z Cai Proceedings of the ACM turing celebration conference-China, 1-6, 2019 | 18 | 2019 |
| Graph-convolved factorization machines for personalized recommendation Y Zheng, P Wei, Z Chen, Y Cao, L Lin IEEE Transactions on Knowledge and Data Engineering 35 (2), 1567-1580, 2021 | 17 | 2021 |
| Graph neural reasoning for 2-quantified boolean formula solvers Z Yang, F Wang, Z Chen, G Wei, T Rompf arXiv preprint arXiv:1904.12084, 2019 | 12 | 2019 |
| Open set domain adaptation by novel class discovery J Zhuang, Z Chen, P Wei, G Li, L Lin arXiv preprint arXiv:2203.03329, 2022 | 11 | 2022 |
| Law-diffusion: Complex scene generation by diffusion with layouts B Yang, Y Luo, Z Chen, G Wang, X Liang, L Lin Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 9 | 2023 |
| Deep co-space: Sample mining across feature transformation for semi-supervised learning Z Chen, K Wang, X Wang, P Peng, E Izquierdo, L Lin IEEE Transactions on Circuits and Systems for Video Technology 28 (10), 2667 …, 2017 | 9 | 2017 |
| Deep CockTail Networks Z Chen, P Wei, J Zhuang, G Li, L Lin International Journal of Computer Vision 129 (8), 2328-2351, 2021 | 8 | 2021 |
| Graph neural reasoning may fail in certifying boolean unsatisfiability Z Chen, Z Yang arXiv preprint arXiv:1909.11588, 2019 | 8 | 2019 |
| Towards causality-aware inferring: a sequential discriminative approach for medical diagnosis J Lin, K Wang, Z Chen, X Liang, L Lin IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 7 | 2023 |
| Discovering implicit classes achieves open set domain adaptation J Zhuang, Z Chen, P Wei, G Li, L Lin 2022 IEEE International Conference on Multimedia and Expo (ICME), 01-06, 2022 | 7 | 2022 |
| Multivariate-information adversarial ensemble for scalable joint distribution matching Z Chen, Z Yang, X Wang, X Liang, X Yan, G Li, L Lin International Conference on Machine Learning, 1112-1121, 2019 | 7 | 2019 |
| A retrospect to multi-prompt learning across vision and language Z Chen, X Huang, Q Guan, L Lin, W Luo Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 4 | 2023 |
| Kg4ex: An explainable knowledge graph-based approach for exercise recommendation Q Guan, F Xiao, X Cheng, L Fang, Z Chen, G Chen, W Luo Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 3 | 2023 |
| Cipl: Counterfactual interactive policy learning to eliminate popularity bias for online recommendation Y Zheng, J Qin, P Wei, Z Chen, L Lin IEEE Transactions on Neural Networks and Learning Systems, 2023 | 3 | 2023 |
