| Deepopf: A deep neural network approach for security-constrained dc optimal power flow X Pan, T Zhao, M Chen, S Zhang IEEE Transactions on Power Systems (arXiv version in Oct. 2019) 36 (3), 1725 …, 2020 | 143 | 2020 |
| DeepOPF: Deep Neural Network for DC Optimal Power Flow X Pan, T Zhao, M Chen IEEE SmartGridComm 2019 (arXiv version posted in May 2019), 2019 | 105 | 2019 |
| DeepOPF: A feasibility-optimized deep neural network approach for AC optimal power flow problems X Pan, M Chen, T Zhao, SH Low IEEE Systems Journal 17 (1), 673-683, 2022 | 94 | 2022 |
| Deepopf-v: Solving ac-opf problems efficiently W Huang, X Pan, M Chen, SH Low IEEE Transactions on Power Systems 37 (1), 800-803, 2021 | 58 | 2021 |
| DeepOPF+: A deep neural network approach for DC optimal power flow for ensuring feasibility T Zhao, X Pan, M Chen, A Venzke, SH Low 2020 IEEE International Conference on Communications, Control, and Computing …, 2020 | 36 | 2020 |
| An optimized rate control for low-delay H. 265/HEVC Z Chen, X Pan IEEE Transactions on Image Processing 28 (9), 4541-4552, 2019 | 34 | 2019 |
| CNN-based rate-distortion modeling for H. 265/HEVC B Xu, X Pan, Y Zhou, Y Li, D Yang, Z Chen 2017 IEEE Visual Communications and Image Processing (VCIP), 1-4, 2017 | 33 | 2017 |
| Multi-layer quantization control for quality-constrained H. 265/HEVC X Pan, Z Chen IEEE Transactions on Image Processing 26 (7), 3437-3448, 2016 | 15 | 2016 |
| Ensuring DNN Solution Feasibility for Optimization Problems with Linear Constraints T Zhao, X Pan, M Chen, S Low The Eleventh International Conference on Learning Representations, 2022 | 14* | 2022 |
| CNN-optimized image compression with uncertainty based resource allocation Z Chen, Y Li, F Liu, Z Liu, X Pan, W Sun, Y Wang, Y Zhou, H Zhu, S Liu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 11 | 2018 |
| A game theory based CTU-level bit allocation scheme for HEVC region of interest coding Z Liu, X Pan, Y Li, Z Chen IEEE Transactions on Image Processing 30, 794-805, 2020 | 10 | 2020 |
| DeepOPF-AL: Augmented Learning for Solving AC-OPF Problems with a Multi-Valued Load-Solution Mapping X Pan, W Huang, M Chen, SH Low Proceedings of the 14th ACM International Conference on Future Energy …, 2023 | 6 | 2023 |
| Two-pass rate control for constant quality in high efficiency video coding G Cao, X Pan, Y Zhou, Y Li, Z Chen 2018 IEEE Visual Communications and Image Processing (VCIP), 1-4, 2018 | 5 | 2018 |
| Stackelberg game based rate allocation for HEVC region of interest coding Z Liu, X Pan, Y Li, Z Chen 2018 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2018 | 2 | 2018 |
| Corner-to-Center long-range context model for efficient learned image compression Y Sui, D Ding, X Pan, X Xu, S Liu, B Yuan, Z Chen Journal of Visual Communication and Image Representation 98, 103990, 2024 | 1 | 2024 |
| Transferable Learned Image Compression-Resistant Adversarial Perturbations Y Sui, Z Li, D Ding, X Pan, X Xu, S Liu, Z Chen arXiv preprint arXiv:2401.03115, 2024 | | 2024 |
| Low-complexity Transform Network Architecture for JPEG AI Image Codec X Pan, D Ding, L Wang, X Xu, S Liu 2023 IEEE International Conference on Visual Communications and Image …, 2023 | | 2023 |
| Optimizing Demand Response in Distribution Network with Grid Operational Constraints T Zhao, M Zhou, Y Mo, JM Wang, J Luo, X Pan, M Chen Proceedings of the 14th ACM International Conference on Future Energy …, 2023 | | 2023 |
| Deep Neural Networks for Optimal Power Flow in Electric Power Systems: Design, Analysis, and Experiments X Pan The Chinese University of Hong Kong (Hong Kong), 2022 | | 2022 |
| Deep Learning-based Optimal Power Flow Solution with Applications to Operating Electrical Power Systems C Minghua, W HUANG, PAN Xiang | | 2021 |
Minghua ChenIEEE Fellow; ACM Distinguished Scientist; City University of Hong KongVerified email at cityu.edu.hk
