|Xiliang Luo, Associate Professor|
Tel: (021) 60213024
Research Areas: Wireless Communications, Signal Processing, Machine Learning
Current Topics: Edge Computing, Fog Computing, Smart Traffic Control, AI for Mobile Networks, Behavior Recognition with Wireless Signals, Graph Signal Processing, Distributed Machine Learning
Xiliang Luo received his Bachelor of Science degree in Physics from the Peking University, Beijing, China, in 2001, and his Master of Science and Doctor of Philosophy degrees in Electrical Engineering from the University of Minnesota at Minneapolis in 2003 and 2006, respectively. Upon graduation, he joined Qualcomm and worked on the developments and standardization of the LTE technologies. In addition to more than 100 technical contributions to the 3GPP, he led the designs of Qualcomm’s next generation LTE modem for heterogeneous networks from initial concept to final completion. He joined ShanghaiTech in 2014 and has been focusing on the innovations in data and information processing. His current research interests lie in wireless communications, edge and fog computing, and smart traffic control, on which he has published more than 80 research papers in top journals and conferences and has been awarded more than 70 US patents. In 2017, he received the Excellent Paper Award from the ICUFN. He served as a track chair or a TPC member in numerous international conferences. He is currently serving as a co-director of the Shanghai Institute of Fog-computing Technology (SHIFT) and a member of the 5th Youth Committee of the China Institute of Communications (CIC).
T. Liu, Z. Zhu, J. Gu, and X. Luo, “Learn to Offload in Mobile Edge Computing”, in Proceedings of 2019 IEEE Global Communications Conference (Globecom), December 2019.
X. Luo, F. Yang, and H. Zhu, “Massive MIMO Self-Calibration: Optimal Interconnection for Full Calibration”, IEEE Transactions on Vehicular Technology, vol. 68, no. 11, September 2019.
Z. Zhu, T. Liu, Y. Yang, and X. Luo, “BLOT: Bandit Learning-based Offloading of Tasks in Fog-Enabled Networks”, IEEE Transactions on Parallel and Distributed Systems, Jul. 2019.
N. Chen, Y. Yang, T. Zhang, M. Zhou, X. Luo, and J. K. Zao, “Fog as a Service Technology”, IEEE Communications Magazine, vol. 56, no. 11, Nov. 2018.
Y. Yang, K. Wang, G. Zhang, X. Chen, X. Luo, and M. Zhou, “MEETS: Maximal Energy Efficient Task Scheduling in Homogeneous Fog Networks”, IEEE Internet of Things Journal, vol. 5, no. 5, Oct. 2018.
F. Yang, P. Cai, H. Qian, and X. Luo, “Pilot Contamination in Massive MIMO Induced by Timing and Frequency Errors”, IEEE Transactions on Wireless Communications, vol. 17, no. 7, Jul. 2018.
Y. Yang, S. Zhao, W. Zhang, Y. Chen, X. Luo, and J. Wang, “DEBTS: Delay Energy Balanced Task Scheduling in Homogeneous Fog Networks”, IEEE Internet of Things Journal, vol. 5, no. 3, Jun. 2018.
Z. Zhu, S. Jin, Y. Yang, H. Hu, and X. Luo, “Time Reusing in D2D-Enabled Cooperative Networks”, IEEE Transactions on Wireless Communications, vol. 17, no. 5, May. 2018.
X. Luo, P. Cai, X. Zhang, D. Hu, and C. Shen, “A Scalable Framework for CSI Feedback in FDD Massive MIMO via DL Path Aligning”, in IEEE Transactions on Signal Processing, vol. 65, no. 18, Sep. 2017.
X. Luo, “Delay-Oriented QoS-Aware User Association and Resource Allocation in Heterogeneous Cellular Networks”, IEEE Transactions on Wireless Communications, vol. 16, no. 3, Mar. 2017.
X. Luo, “Multi-User Massive MIMO Performance with Calibration Errors”, IEEE Transactions on Wireless Communications, vol. 15, no. 7, Jul. 2016.