Hengzhi Wang’s Homepage
About me
Bio: Hengzhi Wang (王恒之) is currently an assistant professor at the College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China. He received a B.S. degree in software engineering from Jilin University, Changchun, China, in 2017 and a Ph.D. degree in computer science from Jilin University, Changchun, China, in 2023. He was also a visiting Ph.D. student supervised by Prof. Jiangchuan Liu at the School of Computing Science, Simon Fraser University, British Columbia, Canada.
Office: Room 620-2, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China
Email: whz@szu.edu.cn
Research Interests
Federated Learning
Spatial Crowdsourcing
Professional Services
- Web chair, IEEE Satellite 2023, Shenzhen, China
Reviewer
- IEEE INFOCOM 2024
- IEEE Transactions on Mobile Computing
- IEEE Transactions on Dependable and Secure Computing
- IEEE Transactions on Big Data
- IEEE Network Magazine
Publication
- Hengzhi Wang, Haoran Chen, Minghe Ma, and Laizhong Cui*. Dealing with Noisy Data in Federated Learning: An Incentive Mechanism with Flexible Pricing. ACM TheWebConf, 2025, Accepted. （CCF A）
- Hengzhi Wang, Minghe Ma, Laizhong Cui*, and Jiangchuan Liu. Towards Integrated Spatial Crowdsourcing: Online Privacy-Preserving Selection. IEEE Transactions on Dependable and Secure Computing, 2025, Early Access. （CCF A）
- Hengzhi Wang, Laizhong Cui*, En Wang, and Jiangchuan Liu. A Differentially Private Approach for Budgeted Combinatorial Multi-armed Bandits. IEEE Transactions on Dependable and Secure Computing, 2024, Early Access. （CCF A）
- Hengzhi Wang, Laizhong Cui*, Lei Zhang, Linfeng Shen, and Long Chen. Combinatorial Incentive Mechanism for Bundling Spatial Crowdsourcing with Unknown Utilities. IEEE INFOCOM, 2024. （CCF A）
- Hengzhi Wang, En Wang, Yongjian Yang, Bo Yang, and Jiangchuan Liu. A Truthful Pricing-based Defending Strategy against Adversarial Attacks in Budgeted Combinatorial Multi-armed Bandits. IEEE Transactions on Knowledge and Data Engineering, 2024, Early Access. （CCF A）
- Hengzhi Wang, En Wang, Yongjian Yang, Jie Wu, and Falko Dressler. Privacy-Preserving Online Task Assignment in Spatial Crowdsourcing: A Graph-based Approach. IEEE INFOCOM, 2022: 570-579. （CCF A）
- Hengzhi Wang, Yongjian Yang, En Wang, Wenbin Liu, Yuanbo Xu, and Jie Wu. Truthful User Recruitment for Cooperative Crowdsensing Task: A Combinatorial Multi-Armed Bandit Approach. IEEE Transactions on Mobile Computing, 2023, 22(7): 4314-4331. （CCF A）
- Hengzhi Wang, Yongjian Yang, En Wang, Xiulong Liu, Jingxiao Wei, and Jie Wu. Bilateral Privacy-Preserving Worker Selection in Spatial Crowdsourcing. IEEE Transactions on Dependable and Secure Computing, 2023, 20(3): 2533-2546. （CCF A）
- En Wang, Hengzhi Wang*, Yongjian Yang, and Wenbin Liu. Truthful Incentive Mechanism for Online User Selection in Mobile Crowdsensing. IEEE Transactions on Mobile Computing, 2021, 21(12): 4642-4655. （CCF A）
- Hengzhi Wang, Yongjian Yang, En Wang, Liang Wang, Qiang Li, and Zhiyong Yu. Incentive Mechanism for Mobile Devices in Dynamic Crowd Sensing System. IEEE Transactions on Human-Machine Systems, 2020, 51(4): 365-375. （CCF B）
- Hengzhi Wang, Yongjian Yang, En Wang, Wenbin Liu, Yuanbo Xu, and Jie Wu. Combinatorial Multi-Armed Bandit Based User Recruitment in Mobile Crowdsensing. IEEE SECON 2020: 1-9. （CCF B）