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.  I have been listed in Stanford University's 2024 World's Top 2% Scientists list. 

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, 数字孪生驱动下基于高维时空关联数据的智能产线运维系统研究, 2025.01-2025.12.

• PI,  工业物联网赋能的生产线故障预测性维护决策系统的研究—基于数据驱动的机器学习视角, 2025.01-2029.12.

• 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 30, 2025, a student paper "An End-to-End UAV Obstacle Avoidance Approach Fusing Wavelet Convolution and KAN Networks" was awarded the Poster Paper Award by the 44th Chinese Control Conference, Chongqing, China.

• June 21, 2025, a student paper "WiFi Signal-Based Human Activity Recognition Using Bidirectional Mamba Models" was accepted by 2025 IEEE 11th World Forum on Internet of Things (WF-IoT). 

• Feburary 6, 2025, a student paper "A rule fitting and filtering-based heuristic approach for the Multi-Stage assembly scheduling problem with multiple constraints" was accepted by Computers & Industrial Engineering.

SELECTED PUBLICATIONS

* Corresponding Author

[J5] Yanlei Yin, Lihua Wang, Dinh Thai Hoang, Wenbo Wang*, and Dusit Niyato, “Sparse Attention-driven Quality Prediction for Production Process Optimization in Digital Twins”, in IEEE Internet of Things Journal (IoTJ), vol. 11, no. 23, pp. 38569 - 38584, 2024. [IEEEXplore] 

[J4] Y. Zhao, J. Yang, Wenbo Wang*, H. Yang and D. Niyato, “TranDRL: A Transformer-driven deep reinforcement learning enabled prescriptive maintenance framework”, in IEEE Internet of Things Journal (IoTJ), vol. 11, no. 21, pp. 35432 - 35444, 2024, arXiv:2309.16935, 2024. [IEEEXplore]

[J3] 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.” in IEEE Transactions on Wireless Communications (TWC), vol. 23, no. 10, pp. 15054 - 15069, 2024. [IEEEXplore]

[J2] 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]

[J1] 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]

Check the full list of my publications