ABOUT ME

I'm an Assistant Professor with the Faculty of Mechanical & Electrical Engineering, Kunming University of Science and Technology (KUST), Kunming, China. I received the B.S. and M.S. degrees from School of Automation, Beijing Institute of Technology, Beijing, China, and the Ph.D. degree in Computing and Information Sciences from B. Thomas Golisano College of Computing and Information Sciences, Rochester Institute of Technology, Rochester, NY, USA. Before I joined KUST, I held the position of Research Fellow with the Faculty of Engineering, Bar Ilan University, Israel and the School of Computer Science and Engineering, Nanyang Technological University, Singapore, respectively. 

RESEARCH INTERESTS

• Internet of Things, mobile cloud, vehicular networks and beyond 5G.

• Cross-layer network optimization, game theory and incentive mechanism design.

• Model-free learning and deep reinforcement learning.

• Blockchains, cryptography and distributed consensus.

RESEARCH PROJECTS

• PI,  基于多智能体机器学习视角的物联网资源分配方法研究, NSFC grant, 2024.01-2027.12，

• PI，基于无线传感器网络的人体动作识别捕捉方法及应用技术研究 (WiTracker, First Session), Sponsored by ChingMu Co. Ltd, 2023.09-2024.09

NEWS

• July 4, 2024, a paper accepted by IEEE Transactions on Wireless Communications.

SELECTED PUBLICATIONS

* Corresponding Author

[J5] S. Feng, X. Lu, D. Niyato, Y. Wu, X. Shen and Wenbo Wang*, “System-Level Security Solution for Hybrid D2D Communication in Heterogeneous D2D-Underlaid Cellular Network.” accepted by IEEE Transactions on Wireless Communications, 2024.

[J4] Wenbo Wang* and Amir Leshem, "Non-Convex Generalized Nash Games for Energy Efficient Power Allocation and Beamforming in mmWave Networks," in IEEE Transactions on Signal Processing (TSP), vol. 70, pp. 3193-3205, 2022. [IEEEXplore] [arxiv.org]

[J3] Wenbo Wang*, Amir Leshem, Dusit Niyato and Zhu Han, "Decentralized Learning for Channel Allocation in IoT Networks over Unlicensed Bandwidth as a Contextual Multi-player Multi-armed Bandit Game," in IEEE Transactions on Wireless Communications (TWC), vol 21, no. 5, pp. 2162-3178, May 2022.  [IEEEXplore] [author version] [Source Code]

[J2] Kevin Shen Hoong Ong, Wenbo Wang*, Dusit Niyato and Thomas Friedrichs, "Deep Reinforcement Learning Based Predictive Maintenance Model for Effective Resource Management in Industrial IoT," in IEEE Internet of Things Journal (IoTJ), vol. 8, no. 7, pp 5173-5188, 1 April, 2022.  [IEEEXplore]

[J1] Wenbo Wang, D-T. Hoang, P. Hu, Z. Xiong, D. Niyato, P. Wang, Y. Wen and D-I, Kim*, "A survey on consensus mechanisms and mining strategy management in blockchain networks," in IEEE Access, vol. 7, pp. 22328-22370, 2019. [IEEEXplore] [axriv.org]

Check the full list of my publications