李岳楠
- 教师拼音名称:Yuenan Li
- 性别:男
- 职称:副教授
- 所属院系:电气自动化与信息工程学院
- 1ecc607060d37f29620b3092482b7cb47f35cc54725bea5d50cf72ab600761b1529fd32753c53b22afdcfc57fee05aeaf1347c428215fb5b63ff17f7203c4dda6e172203d24b92d23abce1a29dda7e0d985461685eecd7a2a3eef87f25387feecc3265f5d94392d4d4ac60937f4f9394e4f24ccadd1fd0ca14c12a56e45fd417
-
· Z. Shi, Y. Li*, and F. Zhang, Reflection Removal via Recurrent Learning Guided By Physics Prior and Focal Perceptual Loss, IEEE Trans. on Circuits and Systems for Video Technology, 2024.
-
· Y. Li, X. Tian, Q. Zhu, and M. Wu, Inferring Electrocardiography From Optical Sensing Using Lightweight Neural Network, IEEE Trans. on Artificial Intelligence, 2024.
-
· Y. Li*, W. Zhang, Robust Image Fingerprinting Algorithm Based on Local and Global Content Dependencies, IEEE Signal Processing Letters, 31, pp. 336-340, 2024
-
· Y. Li*, J. Wu, and Z. Shi, Lightweight Neural Network for Enhancing Imaging Performance of Under-Display Camera, IEEE Trans. on Circuits and Systems for Video Technology, 34(1), pp.71-84, 2024.
-
· Y. Li*, Q. Yan, K. Zhang, H. Xu, Image Reflection Removal via Contextual Feature Fusion Pyramid and Task-driven Regularization, IEEE Trans. on Circuits and Systems for Video Technology, 2022, 32(2), 553-565
-
· K. Zhang, Y. Li*,Single Image Dehazing via Semi-Supervised Domain Translation and Architecture Search, IEEE Signal Processing Letters, 2021, 28. 2127-2131.
-
· Y. Li*, Y. Liu, Q. Yan, K. Zhang, Deep Dehazing Network With Latent Ensembling Architecture and Adversarial Learning, IEEE Trans. on Image Processing, 2021, 30, 1354-1368
-
· Y. Li*, D. Wang, L. Tang, Robust and Secure Image Fingerprinting Learned by Neural Network, IEEE Trans. on Circuits and Systems for Video Technology, 2020, 30, 362-375.
-
· X. Tian, Q. Zhu, Y. Li, M. Wu, Cross-Domain Joint Dictionary Learning for ECG Reconstruction from PPG, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, 936-940
-
· Y. Li*, J. Wang, Robust Content Fingerprinting Algorithm Based on Invariant and Hierarchical Generative Model, Elsevier: Digital Signal Processing, 2019, 85, 41-53