Publications
Journal Papers
M. Zhang, E. Wei, R. Berry, and J. Huang, Age-Dependent Differential Privacy, To appear in IEEE Transactions on Information Theory (TIT), undefined.
M. Zhang, E. Wei, and R. Berry, Faithful Edge Federated Learning: Scalability and Privacy, IEEE Journal on Selected Areas in Communications (JSAC), 2022.
M. Zhang, A. Arafa, E. Wei, and R. Berry, Optimal and Quantized Mechanism Design for Fresh Data Acquisition, IEEE Journal on Selected Areas in Communications (JSAC), 2021.
M. Zhang, A. Arafa, J. Huang, and H. V. Poor, Pricing Fresh Data, To appear in IEEE Journal on Selected Areas in Communications (JSAC), 2021.
M. Zhang, J. Huang, and R. Zhang, Wireless Power Transfer with Information Asymmetry: A Public Goods Perspective, IEEE Transactions on Mobile Computing (TMC), 2021.
M. Zhang and J. Huang, Efficient Network Sharing with Asymmetric Constraint Information, IEEE Journal on Selected Areas in Communications (JSAC), 2019.
M. Zhang, L. Gao, J. Huang, and M. Honig, Hybrid Pricing for Mobile Collaborative Internet Access, IEEE/ACM Transactions on Networking (ToN), 2019.
M. Zhang, and Y. Liu, Secure Beamforming for Untrusted MISO Cognitive Radio Networks, IEEE Transactions on Wireless Communications (TWC), 2018.
M. Zhang, Y. Liu, and R. Zhang, Artificial Noise Aided Secrecy Information and Power Transfer in OFDMA Systems, IEEE Transactions on Wireless Communications (TWC), 2016.ESI Highly Cited Paper
M. Zhang, and Y. Liu, Energy harvesting for physical-layer security in OFDMA networks, IEEE Transactions on Information Forensics and Security (TIFS), 2016.ESI Highly Cited Paper
Conference Papers
M. Zhou, M. Zhang*, H. Yang, and R. Yates, Age-minimal CPU Scheduling, IEEE International Conference on Computer Communications (INFOCOM), 2024.
M. Zhang, E. Wei, R. Berry, and J. Huang, Age-Dependent Differential privacy, ACM Sigmetrics, 2022.
J. He, Q. Ma, M. Zhang, and J. Huang, Optimal Fresh Data Sampling and Trading, WiOpt, 2021.Best Paper Award
M. Zhang, E. Wei, and R. Berry, Faithful Edge Federated Learning: Scalability and Privacy, NetEcon, 2021.
M. Zhang, A. Arafa, E. Wei, and R. Berry, Optimal Mechanism Design for Fresh Data Acquisition, IEEE International Symposium on Information Theory (ISIT), 12-20 July 2021.
M. Zhang, B. Swenson, J. Huang, and H. V. Poor, Truthful Mobile Crowd Sensing with Interdependent Valuations, ACM MobiHoc, 2020.Acceptance rate 15%
M. Zhang, A. Arafa, J. Huang, and H. V. Poor, How to Price Fresh Data, International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt), 2019.
M. Zhang and J. Huang, Mechanism Design for Network Utility Maximization with Private Constraint Information, IEEE International Conference on Computer Communications (INFOCOM), 2019.Best In-Session Presentation Award