About Liang Zhang Liang Zhang Ph.D. Student, Electrical and Computer Engineering communication networks Liang Zhang is a Ph.D. student in the Networking Research Lab (NETLAB), at King Abdullah University of Science and Technology (KAUST) under the supervision of Professor Basem Shihada. Liang received a master's degree in Electrical Engineering from King Abdullah University of Science and Technology (KAUST) and a bachelor's degree in Physics from the University of Science and Technology, Beijing (USTB), China. Thesis title: Machine learning for next generation IoT Systems. In progress since Sept. 2018. Research Interests Liang's research interests include IoT, UAV, reinforcement learning Events Presented Events Apr 3 - Apr 9, 2022 Learning-Based Approaches for Next-Generation Intelligent Networks Liang Zhang, Ph.D. Student, Electrical and Computer Engineering Apr 5, 14:00 - 16:00 KAUST communication network problems communication networks In this thesis, we investigate how learning-based approaches are implemented to solve the communication network problems and how communication network dependencies impact the training of learning-based approaches.
Learning-Based Approaches for Next-Generation Intelligent Networks Liang Zhang, Ph.D. Student, Electrical and Computer Engineering Apr 5, 14:00 - 16:00 KAUST communication network problems communication networks In this thesis, we investigate how learning-based approaches are implemented to solve the communication network problems and how communication network dependencies impact the training of learning-based approaches.
Engage ORCID ShareClipboard Related Sites Electrical and Computer Engineering (ECE) Networking Research Lab (NETLAB) Computer Science (CS) Related Content Events 1 Related Links Zhang, Liang, et al. "Energy-Efficient Trajectory Optimization for UAV-Assisted IoT Networks." IEEE Transactions on Mobile Computing (2021). Zhang, Liang, et al. "ICAQ: Adaptive QoS System for 5G and Beyond Applications." 2020 IEEE 20th International Conference on Communication Technology (ICCT). IEEE, 2020. Xie, Yuxing, et al. "Improving adhesion strength between layers of an implantable parylene-C electrode." Sensors and Actuators A: Physical 260 (2017): 117-123. Google Scholar