ul { line-height: 45px; } [ Ye Hu @ University of Miami ]



Journal Publications:

  • Y. Zhu, M. Chen, S. Wang, Y. Hu, Y. Liu, C. Yin “Collaborative Reinforcement Learning Based Unmanned Aerial Vehicle (UAV) Trajectory Design for 3D UAV Tracking”, IEEE Transaction on Mobile Computing, to appear, 2024. (Available: ArXiv)
  • Y. Cang, M. Chen, Y. Pan, Z. Yang, Y. Hu, H. Sun, and M. Chen “Joint User Scheduling and Computing Resource Allocation Optimization in Asynchronous Mobile Edge Computing Networks”, IEEE Transaction on Communications, to appear, 2024. (Available: ArXiv)
  • Y. Ding, Z. Yang, Q.Pham, Y. Hu, Z. Zhang, M. Shikh-Bahaei “Distributed Machine Learning for UAV Swarms: Computing, Sensing, and Semantics”, IEEE Internet of Things Journal, vol. 11, no. 5, pp. 7447-7473, March, 2023. (Available: ArXiv)
  • Y. Hu, X. Wang, W. Saad, “Distributed and Distribution-Robust Meta Reinforcement Learning (D2-RMRL) for Data Pre-storing and Routing in Cube Satellite Networks”, Journal of Selected Topics in Signal Processing, vol. 17, no. 1, pp. 128-141, Jan. 2023. (Available: ArXiv)
  • Y. Wang, Y. Hu, Z. Yang, W. Saad, K. K. Wong, and V. Friderikos, “Learning from Images: Proactive Caching with Parallel Convolutional Neural Networks”, IEEE Transactions on Mobile Computing, pp. 1-16, Sep, 2022. (Available: ArXiv)
  • Y. Cang, M. Chen, J. Zhao, Z. Yang, Y. Hu, C. Huang, and K. Wong, “Joint Deployment and Resource Management for VLC-enabled RISs-assisted UAV Networks”, IEEE Transactions on Wireless Communications, vol. 22, no. 2, pp. 746-760, Feb. 2023. (Available: ArXiv)
  • Z, Yang; Y. Hu, Z. Zhang, W. Xu, “, "Reconfigurable Intelligent Surface Based Orbital Angular Momentum: Architecture, Opportunities, and Challenges", IEEE Wireless Communications Magazine, vol. 28, no. 6, pp. 132-137, Dec., 2021. (Available: Researchgate)
  • H. Tong, Z. Yang, S. Wang, Y. Hu, O. Semiari, W. Saad, and C.Yin, "Federated Learning for Audio Semantic Communication", Frontiers in Communications and Networks, 2021. (Available: Frontiers)
  • Y. Hu, M. Chen, W. Saad, H. V. Poor, and S. Cui, "Distributed Multi-agent Meta Learning for Trajectory Design in Wireless Drone Networks", Journal on Selected Areas in Communications (JSAC) Special Issue on UAV Communications in 5G and Beyond Networks, , vol. 39, no. 10, pp. 3177-3192, Oct., 2021. (Available: ArXiv)
  • Y. Hu, M. Chen, and W. Saad, "Joint Access and Backhaul Resource Management in Satellite-Drone Networks: A Competitive Market Approach", IEEE Transactions on Wireless Communications, vol. 19, no. 6, pp. 3908-3923, Jun., 2020. (Available: ArXiv)
  • Y. Hu, A. Sanjab, and W. Saad, "Dynamic Psychological Game Theory for Secure Internet of Battlefield Things (IoBT) Systems", IEEE Internet of Things Journal, vol. 6, no. 2, pp. (Available: ArXiv)

Conference Publications:

  • Z. Zhao, Z. Yang, Y. Hu, L. Lin, and Z. Zhang, "Dynamic Graph Neural Networks for Joint Terahertz based Sensing and Communication Optimization in Vehicular Networks", in Proc. of the IEEE Wireless Communications and Networking Conference (WCNC) , Dubai, United Arab Emirates, Apr. 2024.
  • Z. Zhao, Z. Yang, Y. Hu, L. Lin, and Z. Zhang, "Semantic Information Extraction for Text Data with Probability Graph", in Proc. of the IEEE International Conference on Communications in China (ICCC Workshops), Tokyo, Japan, Jun. 2024.
  • Y. Wang, Y. Hu, H. Du, T. Luo, and D. Niyato, “Distributed Reinforcement Learning for Covert Semantic Communications over Wireless Networks”, in Proc. of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Island of Rhodes, Greek, Jun. 2023.
  • H. Tong, Z. Yang, S. Wang, Y. Hu, W. Saad, and C. Yin, ”Federated Learning based Audio Semantic Communication over Wireless Networks”, in Proc. of the IEEE Global Communications Conference (GLOBECOM), Communication QoS, Reliability and Modeling Symposium, Madrid, Spain, Dec. 2021.
  • J. Fang, Z. Yang, N. Anjum, Y. Hu, H. Asgari and M. Shikh-Bahaei, “Secure Intelligent Reflect- ing Surface Assisted UAV Communication Networks”, in Proc. of IEEE International Conference on Communications (ICC) Workshop, Montreal, Canada, Jun. 2021.
  • L. Lu, Y. Hu, Y. Zhang, J. Jia, J, Nie, and M. Shikh-Bahaei, “Machine Learning for Predictive Deployment of UAVs with Rate Splitting Multiple Access”, in Proc. of Global Communications Conference (GLOBECOM) Workshop, Taipei, Taiwan, Dec. 2020.
  • Y. Hu, M. Chen, W. Saad, H. V. Poor, and S. Cui, “Meta-reinforcement Learning for Trajectory Design in Wireless UAV Networks”, in Proc. of Global Communications Conference (GLOBE- COM), Taipei, Taiwan, Dec. 2020.
  • Y. Hu, M. Chen, and W. Saad, “Competitive Market for Joint Access and Backhaul Resource Allocation in Satellite-Drone Networks”, in Proc. of 10th IFIP International Conference on New Technologies, Mobility and Security (NTMS), Mobility & Wireless Networks Track, Canary Islands, Spain, June 2019.
  • Y. Hu, N. Abuzainab, and W. Saad, “Dynamic Psychological Game for Adversarial Internet of Battlefield Things Systems”, in Proc. of the IEEE International Conference on Communications (ICC), Communication and Information Systems Security Symposium, Kansas City, MO, USA, May 2018.
  • Y. Hu, R. MacKenzie and M. Hao, “Expected Q-learning for Self-Organizing Resource Allocation in LTE-U with Downlink-Uplink Decoupling”, in Proc. of European Wireless, Dresden, Germany, 2017.
  • M. Chen, Y. Hu and C. Yin, “Tri-Sectoringand Power Allocation of Macro Base Stations in Heterogeneous Cellular Networkswith Matern Hard-Core Processes”, in Proc. of IEEE Vehicular Technology Conference (VTC), Nanjing, China, May 2016.