| Multi-graph fusion for multi-view spectral clustering Z Kang, G Shi, S Huang, W Chen, X Pu, JT Zhou, Z Xu Knowledge-Based Systems 189, 105102, 2020 | 284 | 2020 |
| Self-supervised discriminative feature learning for deep multi-view clustering J Xu, Y Ren, H Tang, Z Yang, L Pan, Y Yang, X Pu, SY Philip, L He IEEE Transactions on Knowledge and Data Engineering 35 (7), 7470-7482, 2022 | 148 | 2022 |
| Multi-VAE: Learning disentangled view-common and view-peculiar visual representations for multi-view clustering J Xu, Y Ren, H Tang, X Pu, X Zhu, M Zeng, L He Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 142 | 2021 |
| Deep clustering: A comprehensive survey Y Ren, J Pu, Z Yang, J Xu, G Li, X Pu, SY Philip, L He IEEE transactions on neural networks and learning systems, 2024 | 135 | 2024 |
| Attributable risk of hospital admissions for overall and specific mental disorders due to particulate matter pollution: a time-series study in Chengdu, China H Qiu, X Zhu, L Wang, J Pan, X Pu, X Zeng, L Zhang, Z Peng, L Zhou Environmental research 170, 230-237, 2019 | 114 | 2019 |
| Facial expression recognition from image sequences using twofold random forest classifier X Pu, K Fan, X Chen, L Ji, Z Zhou Neurocomputing 168, 1173-1180, 2015 | 88 | 2015 |
| The burden of overall and cause-specific respiratory morbidity due to ambient air pollution in Sichuan Basin, China: a multi-city time-series analysis H Qiu, H Yu, L Wang, X Zhu, M Chen, L Zhou, R Deng, Y Zhang, X Pu, ... Environmental research 167, 428-436, 2018 | 76 | 2018 |
| Binary fingerprint image thinning using template-based PCNNs L Ji, Z Yi, L Shang, X Pu IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 37 …, 2007 | 67 | 2007 |
| Training-based gradient LBP feature models for multiresolution texture classification L Ji, Y Ren, G Liu, X Pu IEEE Transactions on Cybernetics 48 (9), 2683-2696, 2017 | 53 | 2017 |
| Probability-based Mask R-CNN for pulmonary embolism detection K Long, L Tang, X Pu, Y Ren, M Zheng, L Gao, C Song, S Han, M Zhou, ... Neurocomputing 422, 345-353, 2021 | 46 | 2021 |
| Dual self-paced multi-view clustering Z Huang, Y Ren, X Pu, L Pan, D Yao, G Yu Neural Networks 140, 184-192, 2021 | 43 | 2021 |
| TEMDNet: A novel deep denoising network for transient electromagnetic signal with signal-to-image transformation K Chen, X Pu, Y Ren, H Qiu, F Lin, S Zhang IEEE Transactions on Geoscience and Remote Sensing 60, 1-18, 2020 | 40 | 2020 |
| Efficient speaker recognition based on multi-class twin support vector machines and GMMs H Cong, C Yang, X Pu 2008 IEEE conference on robotics, automation and mechatronics, 348-352, 2008 | 38 | 2008 |
| EEGDnet: Fusing non-local and local self-similarity for EEG signal denoising with transformer X Pu, P Yi, K Chen, Z Ma, D Zhao, Y Ren Computers in Biology and Medicine 151, 106248, 2022 | 34 | 2022 |
| Self-supervised graph attention networks for deep weighted multi-view clustering Z Huang, Y Ren, X Pu, S Huang, Z Xu, L He Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 7936-7943, 2023 | 33 | 2023 |
| A novel approach for effective multi-view clustering with information-theoretic perspective C Cui, Y Ren, J Pu, J Li, X Pu, T Wu, Y Shi, L He Advances in Neural Information Processing Systems 36, 2024 | 32 | 2024 |
| Deep multi-view subspace clustering with anchor graph C Cui, Y Ren, J Pu, X Pu, L He arXiv preprint arXiv:2305.06939, 2023 | 31 | 2023 |
| Median local ternary patterns optimized with rotation-invariant uniform-three mapping for noisy texture classification L Ji, Y Ren, X Pu, G Liu Pattern Recognition 79, 387-401, 2018 | 30 | 2018 |
| Dual label-guided graph refinement for multi-view graph clustering Y Ling, J Chen, Y Ren, X Pu, J Xu, X Zhu, L He Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 8791-8798, 2023 | 29 | 2023 |
| Non-linear fusion for self-paced multi-view clustering Z Huang, Y Ren, X Pu, L He Proceedings of the 29th ACM International Conference on Multimedia, 3211-3219, 2021 | 28 | 2021 |