LightingNet: An integrated learning method for low-light image enhancement S Yang, D Zhou, J Cao, Y Guo IEEE Transactions on Computational Imaging 9, 29-42, 2023 | 110 | 2023 |
Rethinking low-light enhancement via transformer-GAN S Yang, D Zhou, J Cao, Y Guo IEEE Signal Processing Letters 29, 1082-1086, 2022 | 90 | 2022 |
Multi-scale network toward real-world image denoising L Zhou, D Zhou, H Yang, S Yang International Journal of Machine Learning and Cybernetics 14 (4), 1205-1216, 2023 | 8 | 2023 |
Single image low-light enhancement via a dual-path generative adversarial network S Yang, D Zhou Circuits, Systems, and Signal Processing 42 (7), 4221-4237, 2023 | 5 | 2023 |
Efficient low-light image enhancement with model parameters scaled down to 0.02 M S Yang, D Zhou International Journal of Machine Learning and Cybernetics 15 (4), 1575-1589, 2024 | 3 | 2024 |
Two-subnet network for real-world image denoising L Zhou, D Zhou, H Yang, S Yang Multimedia Tools and Applications 83 (5), 14757-14773, 2024 | 3 | 2024 |
NURBS-OT: An Advanced Model for Generative Curve Modeling S Yang, J Wang, K Wang Journal of Mechanical Design 147 (3), 2025 | | 2025 |
Enhancing Isogeometric Analysis With NURBS-Based Synthesis S Yang, K Wang, J Wang International Design Engineering Technical Conferences and Computers and …, 2024 | | 2024 |