事件相机，低维信号处理（包括图像处理、稀疏信号处理、压缩感知等），及其相关应用（图像/视觉增强、去噪、超分辨率，目标检测、识别，视觉定位、测量、2D/3D建模等等）
F. Xu, L. Yu, B. Wang, et. al, Motion deblur with real events, submitted.
Zhang, Xiang; Liao, Wei; Yu, Lei; Yang, Wen; Xia, Gui-Song (2021). Event-based Synthetic Aperture Imaging with a Hybrid Network, CVPR 2021. (人工智能顶会，Oral)
Jingwei He, Lei Yu, Zhou Liu, Wen Yang, Image super-resolution by learning weighted convolutional sparse coding, Signal, Image and Video Processing, 2021.
B. Wang, J. He, L. Yu*, G. Xia, W. Yang, Event Enhanced High-Quality Image Recovery, ECCV, 2020.(人工智能顶会，Oral)
B. Su, L. Yu* and W. Yang, “Event-Based High Frame-Rate Video Reconstruction With A Novel Cycle-Event Network,” ICIP, 2020, pp. 86-90.
M. Jiang, Z. Liu, B. Wang, L. Yu* and W. Yang, "Robust Intensity Image Reconstruction Based On Event Cameras," ICIP, 2020, pp. 968-972.
S. Lin, F. Xu, X. Wang, W. Yang, and L. Yu, "Efficient Spatial-Temporal Normalization of SAE Representation for Event Camera," in IEEE RAL, vol. 5, no. 3, pp. 4265-4272, 2020. (机器人顶刊)
J. Xu, M. Jiang, L. Yu*, W. Yang and W. Wang, "Robust Motion Compensation for Event Cameras With Smooth Constraint," in IEEE TCI, vol. 6, pp. 604-614, 2020. (计算成像顶刊)
W. Cheng, H. Luo, W. Yang, L. Yu*, S. Chen, W. Li; DET: A High-Resolution DVS Dataset for Lane Extraction, IEEE CVPRW, 2019
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, IEEE CVPRW, 2019
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, 45(x): 1−14.
Haijian Zhang, Wusheng Zhang, Lei Yu, Guoan Bi, Distributed compressive sensing via LSTM-Aided sparse Bayesian learning, Signal Processing, 2020.
Yu, L., Zheng, G., & Barbot, J.-P. (2017). Dynamical Sparse Recovery with Finite-time Convergence. Accepted to Transaction on Signal Processing, to appear. （信号处理顶级期刊，IF4.3）
Hu, S., Liu, Z., Yu, L., & Sun, H. (2017). Sparse Bayesian Learning for Image Rectification with Transform Invariant Low-Rank Textures. Signal Processing, （信号处理，IF3.11）.
Yu, L., Zheng, G., & Boutat, D. (2017). Adaptive Observer for Simultaneous State and Parameter Estimations for an Output Depending Normal Form. Asian Journal of Control.
Yu, L., Wei, C., Jia, J., & Sun, H. (2016). Compressive sensing for cluster structured sparse signals: variational Bayes approach. IET Signal Processing, 10(7), 770–779.
Yu, L., Wei, C., & Zheng, G. (2015). Adaptive Bayesian Estimation With Cluster Structured Sparsity. IEEE Signal Processing Letters, 22(61401315), 2309–2313. (信号处理IF2.528)
L. Yu, H. Sun, G. Zheng, and J. Pierre Barbot, “Model based Bayesian compressive sensing via Local Beta Process,” Signal Processing, vol. 108, no. 3, pp. 259–271, 2015.（信号处理，IF3.11）
孙洪, 张智林, 余磊, “从稀疏到结构化稀疏：贝叶斯方法,” 信号处理, vol. 28, no. 6, p. 759-773, 2012.
L. Yu, J.-P. P. Barbot, G. Zheng, and H. Sun, “Bayesian compressive sensing for cluster structured sparse signals,” Signal Processing, vol. 92, no. 1, pp. 259–269, 2012. （信号处理，IF3.11）
L. Yu, G. Zheng, D. Boutat, and J.-P. Barbot, “Observability and observer design for a class of switched systems,” IET Control Theory Appl., vol. 5, no. 9, pp. 1113–1119, 2011. (IF 2.536)
L. Yu, J.-P. Barbot, D. Boutat, and D. Benmerzouk, “Observability Forms for Switched Systems With Zeno Phenomenon or High Switching Frequency,” IEEE T. Autom. Contr., vol. 56, no. 2, pp. 436–441, 2011. (控制领域顶级期刊，IF 4.270)
L. Yu, J.-P. Barbot, G. Zheng, and H. Sun, “Compressive Sensing With Chaotic Sequence,” IEEE Signal. Proc. Let., vol. 17, no. 8, pp. 731–734, 2010. (信号处理IF2.528)
