近年来在IEEE TPAMI、TSP、SP、CVPR、ECCV等信号处理、计算机视觉领域的顶级期刊和会议上发表论文50余篇。*标记为通讯作者。

[2024]

1. Huai Yu, Hao Li, Wen Yang*, Lei Yu*, Gui-Song Xia, Detecting Line Segments in Motion-blurred Images with Events, IEEE Trans. on PAMI, 2024.

2. Lexuan Xu, Guang Hua, Haijian Zhang*, Lei Yu*, "Seeing" ENF from Neuromorphic Events: Modeling and Robust Estimation, IEEE Trans. on PAMI, 2024.

3. Chi Zhang, Xiang Zhang, Mingyuan Lin, Cheng Li, Chu He, Wen Yang, Gui-Song Xia, Lei Yu*, CrossZoom: Simultaneous Motion Deblurring and Event Super-Resolving, IEEE Trans. on PAMI, 2024.

4. Chao Ding, Mingyuan Lin, Haijian Zhang*, Jianzhuang Liu, Lei Yu*, Video Frame Interpolation with Stereo Event and Intensity Camera, IEEE Trans. on Multimedia, 2024.

5. Kang Chen (本科生), Lei Yu*, Motion Deblur by Learning Residual From Events, IEEE Trans. Multimedia, 2024.

6. Yangguang Wang, Chenxu Jiang, Xu Jia, Yufei Guo, Lei Yu*, Event-based Shutter Unrolling and Motion Deblurring in Dynamic Scenes, IEEE Signal Processing Letters, 2024.

7. Haiyang Jiang, Songhao Piao*, Huai Yu, Wei Li, Lei Yu*, Robust Visual Place Recognition for Severe Appearance Changes, IEEE RAL, 2024.

8. Pengyu Zhang, Xu Jia, Hao Ju, Lei Yu, Weihua He, Yaoyuan Wang, Ziyang Zhang, Dong Wang, Huchuan Lu, Event-assisted Blurriness Representation Learning for Blurry Image Unfolding, IEEE TIP, 2024.

[2023]
1. L Yu*, X Zhang, W Liao, W Yang, GS Xia, Learning to See Through with Events, IEEE Trans. on PAMI, 2023.
2. L Yu*, B Wang, X Zhang, H Zhang, W Yang, J Liu, GS Xia, Learning to Super-Resolve Blurry Images with Events, IEEE Trans. on PAMI, 2023.
3. H Wang, H Zhang, Lei Yu, X Yang, Facial Feature Embedded CycleGAN for VIS-NIR Translation, Multidimential Systems and Signal Processing, 2023.
4. Zhang Xiang, Yu Lei*, Yang Wen, Liu Jianzhuang, Xia Gui-Song, Generalizing Event-Based Motion Deblurring in Real-World Scenarios, ICCV, 2023.

[2022]
1. Liao Wei, Zhang Xiang, Yu Lei*, et. al, Synthetic    Aperture Imaging with Events and Frames, CVPR, 2022.[Code]
2. Zhang Xiang, Yu Lei*, Unifying motion deblurring and frame interpolation with events, CVPR, 2022.[Code]
3. Lin Shijie, Zhang Y., Yu Lei, et al, Autofocus for event cameras, CVPR, 2022. (大会口头报告) [Code]
4. Xiang Zhang, Lei Yu*, Gang Zheng, YC Eldar, Spking Sparse Recovery with Non-Convex Penalties, IEEE Trans. on Signal Processing, 2022.
5. Jinwang Wang, L Meng, W    Li, W Yang, L Yu, GS Xia, Learning to Extract Building Footprints from Off-Nadir Aerial Images, IEEE Trans. on TPAMI, 2022.
6. L Jiang, H Zhang, L Yu, Learning Structured Sparsity for Time-Frequency Reconstruction, ICASSP, 2022.
7. L Jiang, H Zhang, L Yu, G Hua, A Data-Driven High-Resolution Time-Frequency Distribution, IEEE SPL, 2022.
8. C Xu, J Wang, W Yang, H Yu, L Yu, GS Xia, Detecting tiny objects in aerial images: A normalized Wasserstein distance and a new    benchmark, ISPRS J P & RS, 2022.
9. F Xu, Y Shi, P Ebel, L Yu, GS Xia, W Yang, XX Zhu,GLF-CR: SAR-Enhanced Cloud Removal with Global-local Fusion, ISPRS J P & RS, 2022.
10. L Zeng, H Guo, W Yang, H Yu, L Yu, P Zhang, T Zou, Instance Switching-based Contrastive Learning for Fine-Grained Airplane Detection, IEEE TGRS, 2022.
11. C Xu, J Wang, W Yang, H Yu, L Yu, GS Xia, RFLA:Gaussian Receptive Field based Label Assignment for tiny Object Detection, ECCV 2022.
12. K Chen, H Yu, W Yang,L Yu, S Scherer, GS Xia, I2D-Loc: Camera Localization via Image to LiDAR Depth Flow, ISPRS J P & RS, 2022.
13. Q Wan, et. al, 2022 Roadmap on Neurophic Devices and Applications Research in China, Neuromorphic Computing and Engineering, 2023.

[2021]
1. Xu Fang, Yu Lei*, et. al, Motion Deblurring with Real Events, ICCV, 2021.
2. Xiang Zhang, Wei Liao, Lei Yu*, Wen Yang, Gui-song Xia, Event-based Synthetic Aperture Imaging with a Hybrid Network, CVPR, 2021. [Project Page] 最佳论文候选 32/7093=0.45%
3. H Li, H Yu, J Wang, W Yang*, L Yu*, S Scherer, ULSD: Unified line segment detection across pinhole, fisheye, and spherical cameras, ISPRS Journal of Photogrammetry and Remote Sensing, vol 178, p 187-202, 2021. [Project]

[2020]
1. Bishan Wang, Jingwei He, Lei Yu*, Wen Yang, Guisong Xia, Event Enhanced High Quality Image Recovery, ECCV, 2020. [Project, Blog]    

2. Jiawei Shen, Zhuoyan Li, Lei Yu*, Guisong Xia, Wen Yang, Implicit Euler ODE Networks for Single-Image Dehazing, CVPR Workshop, 2020. [Project]
3. S Lin, F Xu, X Wang, W Yang, L Yu, Efficient Spatial-Temporal Normalization of SAE Representation for Event Camera, IEEE Robotics and Automation Letters 5 (3), 4265-4272. [Project]
4. B Su, L Yu*, W Yang, Event-Based High Frame-Rate Video Reconstruction With A Novel Cycle-Event Network, ICIP 2020.    

5. Meng Jiang, Zhou Liu, Bishan Wang, Lei Yu*, Wen Yang, Robust Intensity Image Reconstruciton Based On Event Cameras, ICIP 2020.
6. Haijian Zhang, Wusheng Zhang, Lei Yu*, Guoan Bi, Distributed compressive sensing via LSTM-Aided sparse Bayesian learning, Signal Processing, 176, 107656, 2020.
7. 余磊*，廖伟，周游龙，杨文，夏桂松，基于事件相机的合成孔径成像，自动化学报，2020.
8. J He, L Yu*, W Yang, Image De-Raining Via RDL: When Reweighted Convolutional Sparse Coding Meets Deep Learning, ICASSP, 2020.
9. J Xu, M Jiang, L Yu*, W Yang, W Wang, Robust motion compensation for event cameras with smooth constraint, IEEE Trans. Computational Imaging, 6, 604-614, 2020.
10. L Wang, L Zhao, L Yu*, J Wang, G Bi, Structured Bayesian learning for recovery of clustered sparse signal, Signal Processing, 166, 107255, 2020.

[2019]
1. Wided Saadi, Driss Boutat,Gang Zheng, Lassaad Sbita, Lei Yu, Algorithm to compute nonlinear partial observer normal form    with multiple outputs, IEEE Transactions on Automatic Control, 65, 6, 2700-2707, 2019.
2. J Ren, L Yu*, C Lyu, G Zheng, JP Barbot, H Sun, Dynamical sparse signal recovery with fixed-time convergence, Signal Processing 162, 65-74.
3. G Yang, Q Ye, W He, L Zhou, X Chen, L Yu*,W Yang, S Chen, W Li, Live Demonstration: Real-time VI-SLAM with High-Resolution Event Camera, CVPR Workshop, 2019.
4. W Cheng, H Luo, W Yang, L Yu, S Chen, W Li, DET: A high-resolution DVS dataset for lane extraction, CVPR Workshop, 2019. [Project]
5. C Lyu,Z Liu, L Yu*, Block-sparsity recovery via recurrent neural network, Signal Processing 154, 129-135,2019.

[2018 and before]
1. S Huang, H Sun, H Zhang, L Yu,Line Spectral Estimation Based on Compressed Sensing with Deterministic Sub-Nyquist Sampling, Circuits, Systems, and Signal Processing 37 (4), 1777-1788.
2. Z Liu, L Yu*, H Sun, Image restoration via Bayesian dictionary learning with nonlocal structured beta process, Journal of Visual Communication and Image Representation 52, 159-169.
3. S Huang, H Zhang, H Sun, L Yu, L Chen, Frequency estimation of multiple sinusoids with three sub-Nyquist channels. Signal Processing 139,96-101.
4. L Yu*, G Zheng, JP Barbot. Dynamical sparse recovery with finite-time convergence. IEEE Transactions on Signal Processing 65 (23), 6146-6157, 2017.
5. S Hu, Z Liu, L Yu*, H Sun, Sparse Bayesian learning for image rectification with transform invariant low-rank textures. Signal Processing 137, 298-308, 2017.

More publication list can be referred from my Google Scholar.