| Contrastive Clustering Y Li, P Hu, Z Liu, D Peng, JT Zhou, X Peng Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021 | 700 | 2021 |
| Deep supervised cross-modal retrieval L Zhen*, P Hu*, X Wang, D Peng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 484 | 2019 |
| All-in-one image restoration for unknown corruption B Li, X Liu, P Hu, Z Wu, J Lv, X Peng Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 302 | 2022 |
| Robust multi-view clustering with incomplete information M Yang, Y Li, P Hu, J Bai, J Lv, X Peng IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (1), 1055-1069, 2022 | 244 | 2022 |
| Learning with twin noisy labels for visible-infrared person re-identification M Yang, Z Huang, P Hu, T Li, J Lv, X Peng Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 190 | 2022 |
| Partially view-aligned representation learning with noise-robust contrastive loss M Yang, Y Li, Z Huang, Z Liu, P Hu, X Peng Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 166 | 2021 |
| Scalable deep multimodal learning for cross-modal retrieval P Hu*, L Zhen*, D Peng, P Liu Proceedings of the 42nd international ACM SIGIR conference on research and …, 2019 | 151 | 2019 |
| Unsupervised contrastive cross-modal hashing P Hu, H Zhu, J Lin, D Peng, YP Zhao, X Peng IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (3), 3877-3889, 2022 | 142 | 2022 |
| Partially view-aligned clustering Z Huang, P Hu, JT Zhou, J Lv, X Peng Advances in Neural Information Processing Systems 33, 2892-2902, 2020 | 120 | 2020 |
| Learning cross-modal retrieval with noisy labels P Hu, X Peng, H Zhu, L Zhen, J Lin Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 112 | 2021 |
| Multi-view linear discriminant analysis network P Hu, D Peng, Y Sang, Y Xiang IEEE Transactions on Image Processing 28 (11), 5352-5365, 2019 | 97 | 2019 |
| Hierarchical consensus hashing for cross-modal retrieval Y Sun, Z Ren, P Hu, D Peng, X Wang IEEE Transactions on Multimedia 26, 824-836, 2023 | 88 | 2023 |
| Deep multimodal transfer learning for cross-modal retrieval L Zhen*, P Hu*, X Peng, RSM Goh, JT Zhou IEEE Transactions on Neural Networks and Learning Systems, 2020 | 79 | 2020 |
| Deep evidential learning with noisy correspondence for cross-modal retrieval Y Qin, D Peng, X Peng, X Wang, P Hu Proceedings of the 30th ACM International Conference on Multimedia, 4948-4956, 2022 | 78 | 2022 |
| Multimodal adversarial network for cross-modal retrieval P Hu, D Peng, X Wang, Y Xiang Knowledge-Based Systems 180, 38-50, 2019 | 67 | 2019 |
| OPQ: Compressing Deep Neural Networks with One-shot Pruning-Quantization P Hu, X Peng, H Zhu, MMS Aly, J Lin Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021 | 64 | 2021 |
| Drsl: Deep relational similarity learning for cross-modal retrieval X Wang*, P Hu*, L Zhen, D Peng Information Sciences 546, 298-311, 2021 | 61 | 2021 |
| Cross-modal retrieval with partially mismatched pairs P Hu, Z Huang, D Peng, X Wang, X Peng IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (8), 9595-9610, 2023 | 57 | 2023 |
| Incomplete multi-view clustering via prototype-based imputation H Li, Y Li, M Yang, P Hu, D Peng, X Peng arXiv preprint arXiv:2301.11045, 2023 | 41 | 2023 |
| Noisy-correspondence learning for text-to-image person re-identification Y Qin, Y Chen, D Peng, X Peng, JT Zhou, P Hu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 39 | 2024 |
