| Contrastive clustering Y Li, P Hu, Z Liu, D Peng, JT Zhou, X Peng Proceedings of the AAAI conference on artificial intelligence 35 (10), 8547-8555, 2021 | 602 | 2021 |
| Structured autoencoders for subspace clustering X Peng, J Feng, S Xiao, WY Yau, JT Zhou, S Yang IEEE Transactions on Image Processing 27 (10), 5076-5086, 2018 | 342 | 2018 |
| Completer: Incomplete multi-view clustering via contrastive prediction Y Lin, Y Gou, Z Liu, B Li, J Lv, X Peng Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 328 | 2021 |
| COMIC: Multi-view clustering without parameter selection X Peng, Z Huang, J Lv, H Zhu, JT Zhou International conference on machine learning, 5092-5101, 2019 | 320 | 2019 |
| Anomalynet: An anomaly detection network for video surveillance JT Zhou, J Du, H Zhu, X Peng, Y Liu, RSM Goh IEEE Transactions on Information Forensics and Security 14 (10), 2537-2550, 2019 | 315 | 2019 |
| Deep Subspace Clustering with Sparsity Prior X Peng, S Xiao, J Feng, WY Yau, Z Yi The 25th International Joint Conference on Artificial Intelligence (IJCAI …, 2016 | 284 | 2016 |
| Nanoparticles for super-resolution microscopy and single-molecule tracking D Jin, P Xi, B Wang, L Zhang, J Enderlein, AM van Oijen Nature methods 15 (6), 415-423, 2018 | 272 | 2018 |
| Jointly optimize data augmentation and network training: Adversarial data augmentation in human pose estimation X Peng, Z Tang, F Yang, RS Feris, D Metaxas Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 269 | 2018 |
| Constructing the L2-graph for robust subspace learning and subspace clustering X Peng, Z Yu, Z Yi, H Tang IEEE transactions on cybernetics 47 (4), 1053-1066, 2016 | 268 | 2016 |
| Partition level multiview subspace clustering Z Kang, X Zhao, C Peng, H Zhu, JT Zhou, X Peng, W Chen, Z Xu Neural Networks 122, 279-288, 2020 | 237 | 2020 |
| Smil: Multimodal learning with severely missing modality M Ma, J Ren, L Zhao, S Tulyakov, C Wu, X Peng Proceedings of the AAAI Conference on Artificial Intelligence 35 (3), 2302-2310, 2021 | 225 | 2021 |
| 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 | 224 | 2022 |
| Mobility-aware caching for content-centric wireless networks: Modeling and methodology R Wang, X Peng, J Zhang, KB Letaief IEEE Communications Magazine 54 (8), 77-83, 2016 | 223 | 2016 |
| Video anomaly detection with sparse coding inspired deep neural networks W Luo, W Liu, D Lian, J Tang, L Duan, X Peng, S Gao IEEE transactions on pattern analysis and machine intelligence 43 (3), 1070-1084, 2019 | 217 | 2019 |
| 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 | 204 | 2022 |
| Denoising MR spectroscopic imaging data with low-rank approximations HM Nguyen, X Peng, MN Do, ZP Liang IEEE Transactions on Biomedical Engineering 60 (1), 78-89, 2012 | 203 | 2012 |
| You only look yourself: Unsupervised and untrained single image dehazing neural network B Li, Y Gou, S Gu, JZ Liu, JT Zhou, X Peng International Journal of Computer Vision 129, 1754-1767, 2021 | 191 | 2021 |
| Connections between nuclear-norm and frobenius-norm-based representations X Peng, C Lu, Z Yi, H Tang IEEE transactions on neural networks and learning systems 29 (1), 218-224, 2016 | 190 | 2016 |
| Scalable sparse subspace clustering X Peng, L Zhang, Z Yi Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 179 | 2013 |
| Maximum-entropy adversarial data augmentation for improved generalization and robustness L Zhao, T Liu, X Peng, D Metaxas Advances in Neural Information Processing Systems 33, 14435-14447, 2020 | 176 | 2020 |
