◎Research Interests/研究领域
稀疏优化 • 稳健信号处理 • 神经网络• 深度学习
◎Experiences/教育与工作经历
2024.12~至今，中国石油大学(华东)，计算数学系，副教授
2022.03~2024.11，中国石油大学(华东)，计算数学系，讲师 2017.09~2021.10，香港城市大学，电机工程系，博士 2014.09~2017.07，中国石油大学(华东)，数学专业，硕士 2010.09~2014.07，中国石油大学(华东)，信息与计算科学专业，学士
◎Openings/研究生招生
I am expecting for students having interests in optimization, neural network, and their applications. Certain programming skills are required, such as Matlab and Python. 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：
《最优化原理》、《最优化方法》、《数据结构与算法》。
◎Research Funds/项目
[6]山东省自然科学基金青年基金项目，基于L0范数优化的稳健非负矩阵分解研究，主持，2025~2027。 [5]中国石油大学(华东)自主创新科研计划项目, 深度卷积神经网络的稳健优化方法及在缺陷检测中的应用, 参与, 2024~2026。 [4]基于非凸正则化理论的神经网络压缩关键问题研究，山东省高等学校青年创新团队项目，主持，2024~2026。 [3]基于可解释性神经网络的函数逼近方法研究，山东省自然科学基金面上项目，参与，2024~2026。 [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，国家自然科学基金青年基金项目，主持，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，主持，2022~2025。 ◎Publications/论文(*通讯作者)
[24]Jun-Ru Yang (本科生) , Zhang-Lei Shi*, Xiao-Peng Li, Wenxin Xiong, Yaru Fu, Xijun Liang. “Adaptive robust MIMO radar target localization via capped Frobenius norm”, Signal Processing, In press, pp. 110069, May 2025. (SCI二区, 中科院二区, IF: 3.4) [23]Enhao Chen, Hao Wang, Zhanglei Shi, Wei Zhang. “Channel pruning for convolutional neural networks using l0-norm constraints”, Neurocomputing, vol. 636, pp. 129925, Jul. 2025. (SCI一区, 中科院二区, IF: 5.5) [22]Chao Wang, Hui Guo, Xia Yan, Zhang-Lei Shi, Yang Yang. “Improved physics-informed neural networks for the reinterpreted discrete fracture model”, Journal of Computational Physics, vol. 520, pp. 113491, Jan. 2025. (SCI一区, 中科院二区Top, IF: 3.8) [21]Xiao-Peng Li, Zhang-Lei Shi, Chi-Sing Leung, Hing Cheung So. “Projected gradient descent method for cardinality-constrained portfolio optimization”, Journal of the Franklin Institute, vol. 361, no. 18, pp. 107267, Dec. 2024. (SCI一区, 中科院三区, IF: 3.7) [20]Wenxin Xiong, Yuming Chen, Jiajun He, Zhang-Lei Shi, Keyuan Hu, Hing Cheung So, Chi-Sing Leung. “A semidefinite programming approach for robust elliptic localization”, Journal of the Franklin Institute, vol. 361, no. 18, pp. 107237, Dec. 2024. (SCI一区, 中科院三区, IF: 3.7) [19]Zhang-Lei Shi, Wenxin Xiong, Xiao-Peng Li, Weiguo Li, Yaru Fu, and Hing Cheung So. “An l0-Norm Optimization-Based Algorithm for Robust and Efficient MIMO Localization”, IEEE Transactions on Aerospace and Electronic Systems, early access, Aug. 2024. (SCI一区, 中科院二区Top, IF: 5.1) [18]Xiao-Peng Li, Zhang-Lei Shi, Lei Huang, Anthony Man-Cho So, and Hing Cheung So, “ROCS: Robust one-bit compressed sensing with application to direction of arrival”, IEEE Transactions on Signal Processing, early access, Apr. 2024. (SCI一区, 中科院二区Top, IF: 4.6) [17]Hao Wang, Jinpeng Cao, Zhang-Lei Shi, Chi Sing Leung, Ruibin Feng, Wenming Cao, and Yuxin He, “Image classification on hypersphere loss,” IEEE Transactions on Industrial Informatics, early access, Jan. 2024. (SCI一区, 中科院一区Top, IF: 12.3) [16]Wenxin Xiong, Zhang-Lei Shi, Hing Cheung So, Junli Liang, and Zhi Wang, “CASTELO: Convex approximation based solution to elliptic localization with outliers,” Signal Processing, in press, Jan. 2024. (SCI二区, 中科院二区, IF: 4.4) [15]Bingjie Zhang, Jian Wang, Xiaoling Gong, Zhanglei Shi, Chao Zhang, Kai Zhang, El-Sayed M. El-Alfy, Sergey V. Ablameyko, “First-order sparse TSK nonstationary fuzzy neural network based on the Mean Shift algorithm and the Group Lasso regularization,” Mathematics, in press, Dec. 2023. (SCI一区, 中科院三区, IF: 2.4) [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二区, 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一区, 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,vol. 30, pp. 1012-1016, Aug. 2023. (SCI二区, 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一区, 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, vol. 53, no. 11, pp. 7199-7212, Nov. 2023. (SCI一区, 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一区, 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一区, 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一区, 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一区, 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一区, 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一区, 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 Neural Processing Letters Digital Signal Processing IEEE Access PLOS ONE International Conference on Neural Information Processing International Conference on Signal and Image Processing International Conference on Image, Video Processing and Artificial Intelligence ◎Research Aim/研究理念 SEE: Simple yet Effective and Efficient Algorithms in practice. |
