| Recurrent squeeze-and-excitation context aggregation net for single image deraining X Li*, J Wu*, Z Lin, H Liu, H Zha Proceedings of the European Conference on Computer Vision (ECCV), 254-269, 2018 | 868 | 2018 |
| Expectation-maximization attention networks for semantic segmentation X Li, Z Zhong, J Wu, Y Yang, Z Lin, H Liu Proceedings of the International Conference on Computer Vision (ICCV), 2019 | 639 | 2019 |
| Essential tensor learning for multi-view spectral clustering J Wu, Z Lin, H Zha IEEE Transactions on Image Processing 28 (12), 5910-5922, 2019 | 295 | 2019 |
| Deep comprehensive correlation mining for image clustering J Wu, K Long, F Wang, C Qian, C Li, Z Lin, H Zha Proceedings of the International Conference on Computer Vision (ICCV), 2019 | 205 | 2019 |
| Dynamic modality interaction modeling for image-text retrieval L Qu, M Liu, J Wu, Z Gao, L Nie Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 133 | 2021 |
| Graph contrastive clustering H Zhong*, J Wu*, C Chen, J Huang, M Deng, L Nie, Z Lin, XS Hua Proceedings of the International Conference on Computer Vision (ICCV), 2021 | 107 | 2021 |
| Dualgnn: Dual graph neural network for multimedia recommendation Q Wang, Y Wei, J Yin, J Wu, X Song, L Nie IEEE Transactions on Multimedia 25, 1074-1084, 2021 | 97 | 2021 |
| Unified graph and low-rank rensor learning for multi-view clustering J Wu, X Xie, L Nie, Z Lin, H Zha Proceedings of the AAAI Conference on Artificial Intelligence, 2020 | 95 | 2020 |
| Stacked hybrid-attention and group collaborative learning for unbiased scene graph generation X Dong, T Gan, X Song, J Wu, Y Cheng, L Nie Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 82 | 2022 |
| SOGNet: Scene overlap graph network for panoptic segmentation Y Yang, H Li, X Li, Q Zhao, J Wu, Z Lin Proceedings of the AAAI Conference on Artificial Intelligence, 2020 | 73 | 2020 |
| Differentiable linearized ADMM X Xie*, J Wu*, Z Zhong, G Liu, Z Lin International Conference on Machine Learning, 6902-6911, 2019 | 68 | 2019 |
| Agree to disagree: Adaptive ensemble knowledge distillation in gradient space S Du, S You, X Li, J Wu, F Wang, C Qian, C Zhang Advances in Neural Information Processing Systems 33, 12345-12355, 2020 | 67 | 2020 |
| Local correlation consistency for knowledge distillation X Li, J Wu, H Fang, Y Liao, F Wang, C Qian Proceedings of the European Conference on Computer Vision (ECCV), 2020 | 49 | 2020 |
| Joint latent subspace learning and regression for cross-modal retrieval J Wu, Z Lin, H Zha Proceedings of the 40th International ACM SIGIR Conference on Research and …, 2017 | 41 | 2017 |
| High quality segmentation for ultra high-resolution images T Shen, Y Zhang, L Qi, J Kuen, X Xie, J Wu, Z Lin, J Jia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 36 | 2022 |
| Self-supervised correlation learning for cross-modal retrieval Y Liu, J Wu, L Qu, T Gan, J Yin, L Nie IEEE Transactions on Multimedia, 2022 | 34 | 2022 |
| Fashion compatibility modeling through a multi-modal try-on-guided scheme X Dong, J Wu, X Song, H Dai, L Nie Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 32 | 2020 |
| Locality-constrained linear coding based bi-layer model for multi-view facial expression recognition J Wu, Z Lin, W Zheng, H Zha Neurocomputing 239, 143-152, 2017 | 32 | 2017 |
| Multiple models fusion for emotion recognition in the wild J Wu, Z Lin, H Zha Proceedings of the 2015 ACM on International Conference on Multimodal …, 2015 | 24 | 2015 |
| Discover micro-influencers for brands via better understanding S Wang, T Gan, Y Liu, L Zhang, JL Wu, L Nie IEEE Transactions on Multimedia 24, 2595-2605, 2021 | 19 | 2021 |
Zhouchen LinProfessor, Peking University; Fellow of IEEE, IAPR, CSIG & AAIA; ex-VP of Samsung Research在 pku.edu.cn 的电子邮件经过验证
