| Hyperspectral image restoration via total variation regularized low-rank tensor decomposition Y Wang, J Peng, Q Zhao, Y Leung, XL Zhao, D Meng IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017 | 423 | 2017 |
| Enhanced 3DTV regularization and its applications on HSI denoising and compressed sensing J Peng, Q Xie, Q Zhao, Y Wang, L Yee, D Meng IEEE Transactions on Image Processing 29, 7889-7903, 2020 | 148* | 2020 |
| Classical scoring functions for docking are unable to exploit large volumes of structural and interaction data H Li, J Peng, P Sidorov, Y Leung, KS Leung, MH Wong, G Lu, PJ Ballester Bioinformatics 35 (20), 3989-3995, 2019 | 80 | 2019 |
| Guaranteed tensor recovery fused low-rankness and smoothness H Wang, J Peng, W Qin, J Wang, D Meng IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (9), 10990 …, 2023 | 67 | 2023 |
| The impact of protein structure and sequence similarity on the accuracy of machine-learning scoring functions for binding affinity prediction H Li, J Peng, Y Leung, KS Leung, MH Wong, G Lu, PJ Ballester Biomolecules 8 (1), 12, 2018 | 62 | 2018 |
| Exact Decomposition of Joint Low Rankness and Local Smoothness Plus Sparse Matrices J Peng, Y Wang, H Zhang, J Wang, D Meng IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | 60 | 2022 |
| Fast Noise Removal in Hyperspectral Images via Representative Coefficient Total Variation J Peng, H Wang, X Cao, X Liu, X Rui, D Meng IEEE Transactions on Geoscience and Remote Sensing 60, 1-17, 2022 | 48 | 2022 |
| An efficient iterative cerebral perfusion CT reconstruction via low-rank tensor decomposition with spatial–temporal total variation regularization S Li, D Zeng, J Peng, Z Bian, H Zhang, Q Xie, Y Wang, Y Liao, S Zhang, ... IEEE transactions on medical imaging 38 (2), 360-370, 2018 | 44 | 2018 |
| Hyperspectral image denoising by asymmetric noise modeling S Xu, X Cao, J Peng, Q Ke, C Ma, D Meng IEEE Transactions on Geoscience and Remote Sensing 60, 1-14, 2022 | 24 | 2022 |
| Hyperspectral image denoising via texture-preserved total variation regularizer Y Chen, W Cao, L Pang, J Peng, X Cao IEEE Transactions on Geoscience and Remote Sensing, 2023 | 18 | 2023 |
| Tensor compressive sensing fused low-rankness and local-smoothness X Liu, J Hou, J Peng, H Wang, D Meng, J Wang Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 8879-8887, 2023 | 12 | 2023 |
| Preconditioning matters: Fast global convergence of non-convex matrix factorization via scaled gradient descent X Jia, H Wang, J Peng, X Feng, D Meng Advances in Neural Information Processing Systems 36, 2024 | 10 | 2024 |
| Hyperspectral anomaly detection via sparsity of core tensor under gradient domain W Shang, J Peng, Z Wu, Y Xu, M Jouni, M Dalla Mura, Z Wei IEEE Transactions on Geoscience and Remote Sensing, 2023 | 10 | 2023 |
| Contrast-medium anisotropy-aware tensor total variation model for robust cerebral perfusion CT reconstruction with low-dose scans Y Zhang, J Peng, D Zeng, Q Xie, S Li, Z Bian, Y Wang, Y Zhang, Q Zhao, ... IEEE transactions on computational imaging 6, 1375-1388, 2020 | 9 | 2020 |
| Learnable representative coefficient image denoiser for hyperspectral image J Peng, H Wang, X Cao, Q Zhao, J Yao, H Zhang, D Meng IEEE Transactions on Geoscience and Remote Sensing, 2024 | 8 | 2024 |
| Hyperspectral image denoising via nonlocal spectral sparse subspace representation H Wang, J Peng, X Cao, J Wang, Q Zhao, D Meng IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2023 | 8 | 2023 |
| CPCT-LRTDTV: Cerebral perfusion CT image restoration via a low rank tensor decomposition with total variation regularization J Peng, D Zeng, J Ma, Y Wang, D Meng Medical Imaging 2018: Physics of Medical Imaging 10573, 821-825, 2018 | 5 | 2018 |
| Low-rank tensor completion with 3-d spatiotemporal transform for traffic data imputation H Shu, H Wang, J Peng, D Meng IEEE Transactions on Intelligent Transportation Systems, 2024 | 3 | 2024 |
| Pan-Denoising: Guided Hyperspectral Image Denoising via Weighted Represent Coefficient Total Variation S Xu, Q Ke, J Peng, X Cao, Z Zhao IEEE Transactions on Geoscience and Remote Sensing, 2024 | 2 | 2024 |
| Guaranteed matrix recovery using weighted nuclear norm plus weighted total variation minimization X Liu, J Peng, J Hou, Y Wang, J Wang Signal Processing 227, 109706, 2025 | 1 | 2025 |
Deyu MengProfessor, Xi'an Jiaotong UniversityVerified email at mail.xjtu.edu.cn
