| 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 | 339 | 2018 |
| 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 | 332 | 2019 |
| 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 | 79 | 2019 |
| 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 | 29 | 2018 |
| 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 | 28 | 2021 |
| 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 | 16 | 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 | 12 | 2019 |
| 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 | 10 | 2019 |
| 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 |
| 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 |
| Deep CockTail Networks Z Chen, P Wei, J Zhuang, G Li, L Lin International Journal of Computer Vision 129 (8), 2328-2351, 2021 | 6 | 2021 |
| Graph-convolved factorization machines for personalized recommendation Y Zheng, P Wei, Z Chen, Y Cao, L Lin IEEE Transactions on Knowledge and Data Engineering, 2021 | 6 | 2021 |
| Open Set Domain Adaptation By Novel Class Discovery J Zhuang, Z Chen, P Wei, G Li, L Lin arXiv preprint arXiv:2203.03329, 2022 | 5 | 2022 |
| Graph neural reasoning may fail in certifying boolean unsatisfiability Z Chen, Z Yang arXiv preprint arXiv:1909.11588, 2019 | 5 | 2019 |
| Towards Causality-Aware Inferring: A Sequential Discriminative Approach for Medical Automatic Diagnosis J Lin, K Wang, Z Chen, X Liang, L Lin arXiv preprint arXiv:2003.06534, 2020 | 2 | 2020 |
| 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 | 1 | 2022 |
| Towards causality-aware inferring: a sequential discriminative approach for medical diagnosis J Lin, K Wang, Z Chen, X Liang, L Lin arXiv preprint arXiv:2003.06534, 2020 | 1 | 2020 |
| Towards a reliable and robust dialogue system for medical automatic diagnosis J Lin, L Xu, Z Chen, L Lin | 1 | 2020 |
| FRAME revisited: an interpretation view based on particle evolution X Cai, Y Wu, G Li, Z Chen, L Lin Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3256-3263, 2019 | 1 | 2019 |
| Multi-Source Domain Adaptation by Deep CockTail Networks Z Chen, L Lin Domain Adaptation in Computer Vision with Deep Learning, 213-233, 2020 | | 2020 |
