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 Author Detail
ORCiD


Research Interests

-Information theory and communication systems
-Optical wireless communications


Selected Publications

* indicates corresponding author.
# indicates co-first author.

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, April 2024.

Ru-Han Chen, Jing Zhou, Yonggang Zhu, and Kai Zhang*, "On RIS-aided SIMO Gaussian channels: Towards a single-RF MIMO transceiver architecture," in revision, March 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.

Jing Zhou and Wenyi Zhang, "New achievability results for the bandlimited optical intensity channel," (invited paper) 10th IEEE/ICCC International Conference on Communications in China (ICCC21), Xiamen, China, July 2021.

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.

Jing Zhou, Daoben Li, and Xuesong Wang, "Generalized faster-than-Nyquist signaling," in Proc. 2012 IEEE International Symposium on Information Theory (ISIT'12), Cambridge, MA, USA, July 2012, pp. 1483-1487.

Full List of Publications

Peer Reviewer


Journals:
-China Communications
-EURASIP Journal on Wireless Communications and Networking
-IEEE Access
-IEEE Communications Letters
-IEEE Open Journal of the Communications Society
-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:
-Mathematical Basis of Big Data (13220503, undergraduate course): Spring 2024
-Artificial Intelligence (graduate course for international students): Fall 2023
-Literature Retrivial and Thesis Writing (13180522, undergraduate course): Fall 2022, 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)