Jing Zhou (周晶)
Lecturer
Department of Computer Science and Engineering
Shaoxing University
Shaoxing, Zhejiang, 312000, China
Email: jzhou(at)usx(dot)edu(dot)cn; jzee(at)ustc(dot)edu(dot)cn
Jing Zhou received the Bachelor's degree in Communication Engineering and the Master's degree in Military Communications from Air Force Engineering University, Xi'an, China, in 2004 and 2008, respectively, and received the Ph.D. degree from Beijing University of Posts and Telecommunications in 2013. He had served in the PLA Air Force as an engineer for several years. He was with Department of Electronic Engineering and Information Science,
University of Science and Technology of China (USTC),
in the group of Professor Wenyi Zhang, as a Post-Doctoral Research Associate. He is currently with the faculty of Computer Science and Engineering, Shaoxing University, Shaoxing, China.
Biography in Chinese
Google Scholar Profile
Web of Science Researcher Profile
IEEE Xplore Author Profile
ORCiD
Research Interests
-Information theory and communication systems
-Optical wireless communications
Selected Publications
* indicates corresponding author.
# indicates co-first author.
Suhua Zhou, Tianqi Li, Zhaoxi Fang, Jing Zhou*, and Wenyi Zhang, "Geometric constellation shaping for wireless optical intensity channels," submitted, Aug. 2024.
Jia-Ning Guo, Ru-Han Chen*, Jian Zhang, Longguang Li, Xu Yang, and Jing Zhou,"Geometrically-shaped constellation for visible light communications at short blocklength," submitted, July 2024.
Ru-Han Chen, Jing Zhou, Yonggang Zhu, and Kai Zhang*, "When to simply use passive RIS as beamformer: An information-theoretic analysis and a novel single-RF MIMO transceiver architecture," IEEE Transactions on Wireless Communications, vol. 23, no. 11, pp. 17157-17173 , November 2024.
Xiaozhen Liu, Jing Zhou*, and Wenyi Zhang, "Information theoretic limits of improved ACO-OFDM receivers in optical intensity channels with time dispersion," IEEE Open Journal of the Communications Society, vol. 5, pp. 489-502, 2024.
Longguang Li*, Ru-Han Chen, and Jing Zhou, "Distribution decomposition and sum-capacity results of two-user optical intensity multiple access channels," IEEE Transactions on Information Theory, vol. 69, no. 9, pp.5532-5549, September 2023.
Xiaozhen Liu#, Jing Zhou#, Nuo Huang, and Wenyi Zhang*, "Improved receivers for optical wireless OFDM: An information theoretic perspective," IEEE Transactions on Communications, vol. 70, no. 7, pp. 4439-4453, July 2022.
Shuqin Pang, Jing Zhou, and Wenyi Zhang*, "Capacity loss under spectral leakage constraint for weakly nonlinear transmitter," IEEE Transactions on Wireless Communications, vol. 21, no. 9, pp. 7609-7623, September 2022.
Ru-Han Chen, Longguang Li*, Jian Zhang, Wenyi Zhang, and Jing Zhou, "On the capacity of MISO optical intensity channels with per-antenna power constraints," IEEE Transactions on Information Theory, vol. 68, no. 6, pp. 3920-3941, June 2022.
Rui Deng#, Jing Zhou#, and Wenyi Zhang*, "Bandlimited communication with one-bit quantization and oversampling: Transceiver design and performance evaluation," IEEE Transactions on Communications, vol. 69, no. 2, pp. 845-862, Febrary 2021.
Jing Zhou and Wenyi Zhang*, "Bounds on the capacity region of the optical intensity multiple access channel," IEEE Transactions on Communications, vol. 67, no. 11, pp. 7629-7641, November 2019.
Yizhu Wang, Jing Zhou, and Wenyi Zhang, "Capacity bounds for bandlimited Gaussian channels with peak-to-average-power-ratio constraint," in Proc. 2018 IEEE Information Theory Workshop (ITW'18), Guangzhou, China, Nov. 2018.
Jing Zhou* and Wenyi Zhang, "A comparative study of unipolar OFDM schemes in Gaussian optical intensity channel," IEEE Transactions on Communications, vol.66, no.4, pp. 1549-1564, April 2018.
Shuangyang Li, Baoming Bai*, Jing Zhou, Peiyao Chen, and Zhongyang Yu, "Reduced-complexity equalization for faster-than-Nyquist signaling: New methods based on Ungerboeck observation model," IEEE Transactions on Communications, vol. 66, no. 3, pp. 1190-1204, March 2018.
Jing Zhou and Wenyi Zhang, "On the capacity of bandlimited optical intensity channels with Gaussian noise," IEEE Transactions on Communications, vol. 65, no. 6, pp. 2481-2493, June 2017.
Full List of Publications
Peer Reviewer
Journals:
-China Communications
-EURASIP Journal on Wireless Communications and Networking
-IEEE Access
-IEEE Communications Letters
-IEEE Journal on Selected Areas in Communications
-IEEE Open Journal of the Communications Society
-IEEE Photonics Journal
-IEEE Transactions on Communications (Exemplary Reviewer, 2020)
-IEEE Transactions on Green Communications and Networking
-IEEE Transactions on Wireless Communications
-IEEE Wireless Communications
-IET Communications
-Journal of University of Science and Technology of China (Chinese)
-Philosophical Transactions of the Royal Society A
Conferences (partial list):
-IEEE International Symposium on Information Theory (ISIT)
-IEEE Information Theory Workshop (ITW)
-IEEE International Conference on Communications (ICC)
-IEEE Global Communications Conference (GLOBECOM)
-IEEE Wireless Communications and Networking Conference (WCNC)
-International Symposium on Wireless Communication Systems (ISWCS)
Master Students
Zhixin Wang
Teaching
Shaoxing University:
-Wireless Communication and Networking (13220601, undergraduate course): Fall 2024
-Literature Retrivial and Thesis Writing (13180522, undergraduate course): Fall 2022, Fall 2023, Fall 2024
-Mathematical Basis of Big Data (13220503, undergraduate course): Spring 2024, Spring 2025
-Artificial Intelligence (graduate course for international students): Fall 2023
-Computer Networks (13180607, undergraduate course): Spring 2023
-Technology and Application of Artificial Intelligence (13180008, undergraduate course): Spring 2022, Spring 2023
-Operating Systems (13180511, undergraduate course): Fall 2022
-Fundamentals of Artificial Intelligence (13180519, undergraduate course, co-taught with Prof. Hua Peng): Spring 2022
USTC:
-Network Information Theory (INY6303, doctoral course): Spring 2018,
Guest lecturer for "Gaussian Channels" (two lectures)