◎Research Interests/研究领域
sparse optimization • robust signal processing • neural network • deep learning
◎Experiences/教育与工作经历
2022.03~current, Lecturer, China University of Petroleum (East China), Qingdao, China
2017.09~2021.10, Ph.D., City University of Hong Kong, Hong Kong SAR, China 2014.09~2017.07, M.Sc., China University of Petroleum (East China), Qingdao, China 2010.09~2014.07, B.Sc., China University of Petroleum (East China), Qingdao, China
◎Openings/研究生招生
I am looking for master students in optimization, neural network, and their applications. Certain programming skills are required, such as Matlab and Pytorch. Currently, my focuses go to model compression and network pruning in deep learning as well as nonconvex sparse optimization in signal processing. If you are interested, please send me an email with a brief resume.
◎Teaching/主讲课程
1.主讲本科生课程：
《数据结构与算法》、《最优化原理》、《最优化方法》。
◎Research Funds/项目
[2]基于L0范数约束优化的高效深度神经网络剪枝算法研究，国家自然科学基金，30万元，2024~2026。 [1]基于L0范数的神经网络剪枝研究，中国石油大学(华东)自主创新科研计划项目，15万元，2022~2025。
◎Publications ( * corresponding author)/论文
[14]Keyuan Hu, Wenxin Xiong, Yuwei Wang, Zhang-Lei Shi, Ge Cheng, Hing Cheung So, and Zhi Wang, “Lagrange programming neural network for robust passive elliptic positioning,” Journal of the Franklin Institute, early access, Sep. 2023. (SCI Q1, 中科院三区, IF: 4.1)
[13]Xiao Peng Li,Zhaofeng Liu, Zhang-Lei Shi, and Hing Cheung So, “MUSIC with capped Frobenius norm: Efficient robust direction-of-arrival estimator,” IEEE Transactions on Aerospace and Electronic Systems, early access, Aug. 2023. (SCI Q1, 中科院二区Top, IF: 4.4) [12]Zhang-Lei Shi, Xiao Peng Li, Weiguo Li, Tongjiang Yan, Jian Wang, and Yaru Fu, “Robust low-rank matrix recovery as mixed integer programming via l0-norm optimization”, IEEE Signal Processing Letters, early access, Aug. 2023. (SCI Q2, 中科院二区, IF: 3.9) [11]Xiao Peng Li, Zhi-Yong Wang, Zhang-Lei Shi, Hing Cheung So, and Nicholas D. Sidiropoulos, “Robust tensor completion via capped Frobenius norm”, IEEE Transactions on Neural Networks and Learning Systems, early access, Jan. 2023. (SCI Q1, 中科院一区TOP, IF: 14.255) [10]Xiao Peng Li, Zhang-Lei Shi*, Qi Liu, and Hing Cheung So, “Fast robust matrix completion via entry-wise l0-norm minimization,” IEEE Transactions on Cybernetics, early access, Dec. 2022. (SCI Q1, 中科院一区TOP, IF: 19.118) [9]Zhang-Lei Shi, Xiao Peng Li, Chi-Sing Leung, and Hing Cheung So, “Cardinality constrained portfolio optimization via alternating direction method of multipliers,” IEEE Transactions on Neural Networks and Learning Systems, early access, Jul. 2022. (SCI Q1, 中科院一区TOP, IF: 14.255) [8]Xiao Peng Li, Zhang-Lei Shi*, Chi-Sing Leung*, and Hing Cheung So, “Sparse index tracking with k-sparsity or ε-deviation constraint via l0-norm minimization,” IEEE Transactions on Neural Networks and Learning Systems, early access, May 2022. (SCI Q1, 中科院一区TOP, IF: 10.451 [7]Zhanglei Shi, Hao Wang, and Chi-Sing Leung, “Constrained center loss for convolutional neural networks,” IEEE Transactions on Neural Networks and Learning Systems, vol. 34, no. 2, pp. 1080-1088, Feb. 2023. (SCI Q1, 中科院一区TOP, IF: 10.451) [6]Zhanglei Shi, Hao Wang, Chi-Sing Leung, and John Sum, “Constrained Center Loss for Image Classification,” in Proceedings of International Conference on Neural Information Processing, Bangkok, Thailand, Nov. 2020, pp. 70-78. (CCF-C) [5]Zhanglei Shi, Hao Wang, Chi-Sing Leung, and Hing Cheung So, “Robust MIMO radar target localization based on Lagrange programming neural network,” Signal Processing, vol. 174, pp. 107574, Sep. 2020. (SCI Q1, 中科院二区, IF: 4.086) [4]Zhanglei Shi, Hao Wang, Chi-Sing Leung, Hing Cheung So, Junli Liang, Kim-Fung Tsang, and Anthony Constantinides, “Robust ellipse fitting based on Lagrange programming neural network and locally competitive algorithm,” Neurocomputing, vol. 399, pp. 399-413, Jul. 2020. (SCI Q1, 中科院二区TOP, IF: 4.072) [3]Hao Wang, Zhanglei Shi, Hiu Tung Wong, Chi-Sing Leung, Hing Cheung So, and Ruibin Feng, “An l0-norm-based centers selection for failure tolerant RBF networks,” IEEE Access, vol. 7, pp. 151902-151914, Oct. 2019. (SCI Q1, 中科院二区, IF: 4.098) [2]施章磊, 李维国, “A+分级硬阈值追踪,” 山东大学学报(理学版), vol. 52, no. 8, pp. 58-64, 2017. [1]施章磊, 李维国, “矩阵广义逆硬阈值追踪算法与稀疏恢复问题,” 计算数学, vol. 39, no. 2, pp. 189-199, 2017.
◎Academia Services/学术活动
Journal/Conference Reviewer:
IEEE Transactions on Neural Networks and Learning Systems IEEE Transactions on Geoscience and Remote Sensing IEEE Open Journal of Signal Processing IEEE Access Neural Processing Letters International Conference on Neural Information Processing ◎Research Aim/研究理念 SEE: Simple yet Effective and Efficient Algorithms in practice. |
