I am an assistant professor of Shenzhen University. Before that, I was a Senior Researcher in Corporate Development Group at Tencent Co. Ltd. I received the Ph.D. degree from City University of HongKong, HongKong, China, in 2019. I received the B.S. and M.S. degrees from Zhengzhou University, Henan, China, in 2012 and 2015, respectively.

[1]Ph.D. in Electrical Engineering, City University of Hong Kong, Sep. 2015 - Oct. 2019

[2]M.S. in Physical Electronics, Zhengzhou University, Sep. 2012 - Jun. 2015

[3]B.S. in Electronic Information Science and Technology, Zhengzhou University, Sep. 2008 - Jun. 2012

[1]Senior researcher, Tencent, Mar. 2019 - Mar. 2021.

[2]Researcher assistant, City University of Hong Kong, Oct. 2018 - Mar. 2019

[1]Excellent Class Teacher of Shenzhen University, Shenzhen University, 2024

[2]Outstanding Instructor of College Student Computer Design Competition, Guangdong, 2023

[3]Outstanding Young Teacher of Shenzhen University, Shenzhen University, 2022

[4]C-level Shenzhen high-level professional talents, Shenzhen University, 2019-2024

[5]Excellent staff of Tencent, Tencent, 2020

[6]UGC Scholarships from Hong Kong Government, City University of Hong Kong,2015-2018

[1]Deep learning

[2]Machine Learning

[3]Data Mining

[4]Optimization

[1]H. Wang, et al. “ Image Classification on Hypersphere Loss.” IEEE Transactions on Industrial Informatics (2024), accepted.

[2]Z.H. He,H. Wang, et al. “ Face Recognition Based on Center Bias Estimation and Adaptive Margin.” ACTA ELECTRONICA SINICA (2024), accepted.

[3]H. Wang, et al. “Two Analog Neural Models with the Controllability on Number of Assets for Sparse Portfolio Design.” Neurocomputing (2023), accepted.

[4]H. Wang, et al. “l0-norm based Short-term Sparse Portfolio Optimization Algorithm Based on Alternating Direction Method of Multipliers,”Signal Processing (2023): 108957. accepted.

[5]H. Wang, et al. “A Globally Stable LPNN Model for Sparse Approximation,” IEEE Transactions on Neural Networks and Learning Systems, (2023): vol. 34, no. 8, pp. 5218-5226, Indexed by SCI, JCR Ranking: Q1, IF: 10.451, DOI:10.1109/TNNLS.2021.3126730.

[6]H. Wang, et al. “A Lagrange Programming Neural Network Approach with an l0-Norm Sparsity Measurement for Sparse Recovery and Its Circuit Realization.”Mathematics (2022), 10(24): 4801. Indexed by SCI, JCR Ranking: Q1, IF: 2.4, DOI:https:doi.org10.3390math10244801.

[7]Z.L. Shi, H. Wang, et al. “Constrained Center Loss for Convolutional Neural Networks,” IEEE Transactions on Neural Networks and Learning Systems (2021), accepted. Indexed by SCI, JCR Ranking: Q1, IF: 11.683, DOI: 10.1109/TNNLS.2021.3104392.

[8]Z.L. Shi, H. Wang, et al. “Robust Ellipse Fitting based on Lagrange Programming Neural Network and Locally Competitive Algorithm,” Neurocomputing (2020): Volume 399, pp. 399-413. Indexed by SCI, JCR Ranking: Q1, IF: 4.072, DOI: 10.1016j.neucom.2020.02.100. arXiv: https:arxiv.orgabs/1806.00004.

[9]Z.L. Shi, H. Wang, et al. “Robust MIMO Radar Target Localization based on Lagrange Programming Neural Network,” Signal Processing (2020):107574. Indexed by SCI, JCR Ranking: Q1, IF: 4.086, DOI: 10.1016j.sigpro.2020.107574.arXiv: https:arxiv.orgabs/1805.12300.

[10]H. Wang, et al. “An L0-Norm-Based Centers Selection for Failure Tolerant RBF Networks,” IEEE Access (2019):Volume 7, pp. 151902-151914. Indexed by SCI, JCR Ranking: Q1, IF: 4.098, DOI: 10.1109/ACCESS.2019.2945807.

[11]H. Wang, et al. “ADMM-Based Algorithm for Training Fault Tolerant RBF Networks and Selecting Centers,” IEEE Transactions on Neural Networks and Learning Systems (2018): Volume 29, Issue 8, pp. 3870-3878. Indexed by SCI, JCR Ranking: Q1, IF: 11.683, DOI: 10.1109/TNNLS.2017.2731319.

[12]H. Wang, et al. “Lagrange Programming Neural Network Approaches for Robust Time-of-Arrival Localization,” Cognitive Computation (2018): Volume 10, Issue 1, pp. 23-34. Indexed by SCI, JCR Ranking: Q1, IF: 3.479, DOI: 10.1007/s12559-017-9495-z.

[13]H. Wang, et al. “An Analog Neural Network Approach for the Least Absolute Shrinkage and Selection Operator Problem,” Neural Computing and Applications (2018): Volume 29, Issue 9, pp. 389-400. Indexed by SCI, JCR Ranking: Q1, IF: 4.213, DOI: 10.1007/s12559-017-9495-z.

[14]L.F. Yu, H. Wang, et al. “ Traffic Data Recovery and Outlier Detection based on Non-Negative Matrix Factorization and Truncated-Quadratic Loss Function,”International Conference on Neural Information Processing (ICONIP), 2023, accepted.

[15]H. Wang, et al. “Lagrange Programming Neural Networks for Sparse Portfolio Design,” International Conference on Neural Information Processing (ICONIP), 2022, accepted.

[16]Z.L. Shi, H. Wang, et al. “Constrained Center Loss for Image Classification,”International Conference on Neural Information Processing (ICONIP), 2020, pp. 70-78. Indexed by

[17]H. Wang, et al. “MCP Based Noise Resistant Algorithm for Training RBF Networks and Selecting Centers,” International Conference on Neural Information Processing (ICONIP), 2018, pp. 668-679. Indexed by EI, DOI: 10.1007978-3-030-04179-3 59. EI, DOI: 10.1007978-3-030-63823-8 9.

[18]H. Wang, et al. “A Lagrange Programming Neural Network Approach for Robust Ellipse Fitting,”International Conference on Neural Information Processing (ICONIP), 2017, pp. 686-696. Indexed by EI, DOI: 10.1007/978-3-319-70090-8 69.

[19]H. Wang, et al. “A Robust TOA Source Localization Algorithm Based on LPNN,”International Conference on Neural Information Processing (ICONIP), 2016, pp. 367-375. Indexed by EI, DOI: 10.1007/978-3-319-46687-3 41.

[1]Project supported by NSFC (Grant No. 62206178), Grant Holder, 300K RMB, 2023-2025

[2]Shenzhen Stability Support Project, Grant Holder, 150K RMB, 2024-2025

[3]Scientific Research Staring Foundation for talent in Shenzhen, Grant Holder, 2.70M RMB, 2019-2024

[4]Young Research Staring Foundation by Shenzhen University, Grant Holder, 50K RMB, 2022