| Consensus graph learning for multi-view clustering Z Li, C Tang, X Liu, X Zheng, W Zhang, E Zhu IEEE Transactions on Multimedia 24, 2461-2472, 2021 | 228 | 2021 |
| Cross-view locality preserved diversity and consensus learning for multi-view unsupervised feature selection C Tang, X Zheng, X Liu, W Zhang, J Zhang, J Xiong, L Wang IEEE Transactions on Knowledge and Data Engineering 34 (10), 4705-4716, 2021 | 186 | 2021 |
| High-order correlation preserved incomplete multi-view subspace clustering Z Li, C Tang, X Zheng, X Liu, W Zhang, E Zhu IEEE Transactions on Image Processing 31, 2067-2080, 2022 | 129 | 2022 |
| Unsupervised feature selection via multiple graph fusion and feature weight learning C Tang, X Zheng, W Zhang, X Liu, X Zhu, E Zhu Science China Information Sciences 66 (5), 152101, 2023 | 117 | 2023 |
| DeFusionNET: Defocus blur detection via recurrently fusing and refining discriminative multi-scale deep features C Tang, X Liu, X Zheng, W Li, J Xiong, L Wang, AY Zomaya, A Longo IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (2), 955-968, 2020 | 80 | 2020 |
| Speckle noise reduction for optical coherence tomography images via non-local weighted group low-rank representation C Tang, L Cao, J Chen, X Zheng Laser Physics Letters 14 (5), 056002, 2017 | 37 | 2017 |
| Spatial and spectral structure preserved self-representation for unsupervised hyperspectral band selection C Tang, J Wang, X Zheng, X Liu, W Xie, X Li, X Zhu IEEE Transactions on Geoscience and Remote Sensing 61, 1-13, 2023 | 31 | 2023 |
| Gene selection for microarray data classification via subspace learning and manifold regularization C Tang, L Cao, X Zheng, M Wang Medical & biological engineering & computing 56, 1271-1284, 2018 | 31 | 2018 |
| Gene selection for microarray data classification via adaptive hypergraph embedded dictionary learning X Zheng, W Zhu, C Tang, M Wang Gene 706, 188-200, 2019 | 30 | 2019 |
| Multi-level confidence learning for trustworthy multimodal classification X Zheng, C Tang, Z Wan, C Hu, W Zhang Proceedings of the AAAI Conference on Artificial Intelligence 37 (9), 11381 …, 2023 | 27 | 2023 |
| Dual Laplacian regularized matrix completion for microRNA-disease associations prediction C Tang, H Zhou, X Zheng, Y Zhang, X Sha RNA biology 16 (5), 601-611, 2019 | 27 | 2019 |
| Multi-view subspace clustering via adaptive graph learning and late fusion alignment C Tang, K Sun, C Tang, X Zheng, X Liu, JJ Huang, W Zhang Neural Networks 165, 333-343, 2023 | 24 | 2023 |
| Graph regularized spatial–spectral subspace clustering for hyperspectral band selection J Wang, C Tang, X Zheng, X Liu, W Zhang, E Zhu Neural Networks 153, 292-302, 2022 | 24 | 2022 |
| Tensor-based multi-view block-diagonal structure diffusion for clustering incomplete multi-view data Z Li, C Tang, X Liu, X Zheng, W Zhang, E Zhu 2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021 | 23 | 2021 |
| MiRNA-Disease association prediction via non-negative matrix factorization based matrix completion X Zheng, C Zhang, C Wan Signal Processing 190, 108312, 2022 | 21 | 2022 |
| Fast approximated multiple kernel k-means J Wang, C Tang, X Zheng, X Liu, W Zhang, E Zhu, X Zhu IEEE Transactions on Knowledge and Data Engineering, 2023 | 20 | 2023 |
| Inclusivity induced adaptive graph learning for multi-view clustering X Zou, C Tang, X Zheng, K Sun, W Zhang, D Ding Knowledge-Based Systems 267, 110424, 2023 | 18 | 2023 |
| Multi-view clustering via matrix factorization assisted k-means X Zheng, C Tang, X Liu, E Zhu Neurocomputing 534, 45-54, 2023 | 17 | 2023 |
| Global and cross-modal feature aggregation for multi-omics data classification and application on drug response prediction X Zheng, M Wang, K Huang, E Zhu Information Fusion 102, 102077, 2024 | 14 | 2024 |
| Adaptive partial graph learning and fusion for incomplete multi‐view clustering X Zheng, X Liu, J Chen, E Zhu International Journal of Intelligent Systems 37 (1), 991-1009, 2022 | 14 | 2022 |
