LI, Hang
POSITION/TITLE
SRIBD Research Scientist
RESEARCH FIELD
Wireless communications, IoT, AI and applications
hangdavidli@sribd.cn
EDUCATION BACKGROUND
Ph.D., Electrical Engineering, Texas A&M University, 2016
M.S., Communication and Information Engineering, Beihang University, 2011
B.S., Electronic Information Engineering, Beihang University, 2008
BIOGRAPHY
Hang Li received the Ph.D. degree from Texas A&M University, College Station, TX, USA, in 2016. He was a postdoctoral research associate with Texas A&M University (Sept. 2016-Aug. 2017) and University of California-Davis (Sept. 2017-Mar. 2018). After being a visiting research scholar (Apr. 2018 – June 2019) at Shenzhen Research Institute of Big Data, Shenzhen, China, he has been a research scientist since June 2019. His current research interests include wireless networks, Internet of things, stochastic optimization, and applications of machine learning.
He has conducted peer-reviews for many conferences (like WCNC, INFOCOM, GLOBECOM, etc.) and journals (like IEEE Internet of Things Journal, IEEE JSAC, IEEE TWC, etc.). He also is recognized as Overseas High-Caliber Personnel (Level C) by Human Resources and Social Security Administration of Shenzhen Municipality in 2020. He has more than 50 publications in top conferences and journals.
ACADEMIC PUBLICATIONS
1. Jiaxin Liu, Xiongyan Tang, Guangxu Zhu, Xinzhou Cheng, Liqiang Zhao, and Hang Li, ``Multi-feature traffic prediction based on signaling information for cellular networks,” IEEE Trans. Vehicular Technology, vol. 73, no. 2, pp. 2280-2291, Feb. 2024.
2. Shuai Ma, Weining Qiao, Youlong Wu, Hang Li, Guangming Shi, Dahua Gao, Yuanming Shi, Shiyin Li, and Naofal Al-Dhahir, ``Task-oriented explainable semantic communications,'' IEEE Trans. Wireless Commun., vol. 22, no. 12, pp. 9248-9262, Dec. 2023.
3. Xuemei Wang, Jiachen Wang, Hang Li, Xiaoyang Li, Chao Shen, and Guangxu Zhu, ``UKFWiTr: a single-link indoor tracking method based on WiFi CSI,'' IEEE Wireless Communications and Networking Conference (WCNC), Glasgow, UK, Mar. 26-29, 2023.
4. 陆彦辉，柳寒，李航，朱光旭，“基于多鉴别器生成对抗网络的时间序列生成模型”，通信学报，第43卷，第10期，第167-176页，2022年10月.
5. Man Chu, Hang Li, Xuewen Liao, and Shuguang Cui, “Reinforcement learning based multi-access control and battery prediction with energy harvesting in IoT systems,” IEEE Internet of Things J., vol. 6, no. 2, pp. 2009-2020, Apr. 2019.
