职称：

Job Title:

教授

Professor

学历（学位）

Degree

博士研究生

Doctor

联系邮箱：

Email:

zhouqf@dgut.edu.cn

enqfzhou@ieee.org

Dr. Zhou Qingfeng is a professor. He obtained his bachelor's degree from the University of Science and Technology of China in 2000, his master's degree from Clemson University in the United States in 2003, and his Ph.D. in Communication from the Hong Kong Polytechnic University in 2010. In 2011, he worked as a research assistant at the Hong Kong University of Science and Technology, focusing on network coding. In 2012, he conducted postdoctoral research on interference alignment at the City University of Hong Kong. In October 2012, he joined Hefei University of Technology and was appointed as a specially-recruited professor under the "Huangshan Young Scholars" program. In 2017, he joined Dongguan University of Technology and was appointed as a specially-recruited professor under the "Leading Talent B-level" program.

主要研究方向及内容

Main Research area and subject

Software-related fields：Signal processing, digital image processing, Internet of Things (IoT), artificial intelligence, and key technologies of 5G/6G, etc.

Hardware-related fields：Mainly focus on the development of smart wearable devices and intelligent sensors, etc.

Scientific Research Achievements

In terms of scientific research platforms, as the project leader, he successfully secured the establishment of a school-level research institution at Dongguan University of Technology in 2021 and a municipal key laboratory in Dongguan in 2022.

Regarding scientific research projects, he has presided over several significant projects, including two National Natural Science Foundation of China (NSFC) General Projects (with funding of 800,000 yuan and 650,000 yuan respectively), one Guangdong-Dongguan Joint Fund Regional Cultivation Project (with funding of 300,000 yuan), one major Guangdong provincial science and technology project (with funding of 3 million yuan), one key project in key fields of Guangdong provincial universities (with funding of 125,000 yuan), and one horizontal project (with funding of 600,000 yuan). To date, he has published over 30 papers, including more than 10 SCI international journal papers in IEEE JSAC/TWC/TCOM/CL, etc. He holds over 10 authorized patents and has published one monograph (published by Posts & Telecom Press).

His current main research interests include the Internet of Things (IoT), smart hardware (wearable devices), and big data applications.

During his tenure at Hefei University of Technology, he served as a doctoral supervisor. Currently, he is a master's supervisor at Dongguan University of Technology and has jointly supervised a total of 14 master's students and 3 doctoral students.

部分发表的学术论文和著作

Selected published academic papers and monographs

1. Q. F. Zhou and Q. T. Zhang, "On Blind Interference Alignment over Homogeneous Block Fading Channels," IEEE Communications Letters, vol. 16, no. 9, pp. 1432-1435, September 2012

2. Q. F. Zhou, Q. T. Zhang and F. C. M. Lau, "Diophantine Approach to Blind Interference Alignment of Homogeneous K-User 2x1 MISO Broadcast Channels," IEEE Journal on Selected Areas in Communications, vol. 31, no. 10, pp. 2141-2153, October 2013

3. S. Zhang, Q. F. Zhou, C. Kai and W. Zhang, "Full Diversity Physical-Layer Network Coding in Two-Way Relay Channels With Multiple Antennas," IEEE Transactions on Wireless Communications, vol. 13, no. 8, pp. 4273-4282, Aug. 2014

4. Q. F. Zhou, W. H. Mow, S. Zhang* and D. Toumpakaris, "Two-Way Decode-and-Forward for Low-Complexity Wireless Relaying: Selective Forwarding Versus One-Bit Soft Forwarding," IEEE Transactions on Wireless Communications, vol. 15, no. 3, pp. 1866-1880, March 2016

5. Q. F. Zhou, A. Huang, M. Peng, F. Qu* and L. Fan, "On the Mode Switching of Reconfigurable-Antenna-Based Blind Interference Alignment," IEEE Transactions on Vehicular Technology, vol. 66, no. 8, pp. 6958-6968, Aug. 2017

6. Q. F. Zhou, L. Zhao, M. Peng, X. Liu and L. Fan, "TDMA-Based Cooperative NC MAC Scheme for Two-Way Relaying Networks," IEEE Access, vol. 6, pp. 7123-7133, 2018

7. C. Liu, Q. Zhou*, X. Wang and K. Chen, "MIMO Signal Multiplexing and Detection Based on Compressive Sensing and Deep Learning," IEEE Access, vol. 7, pp. 127362-127372, 2019

8. X. Wang, Q. Zhou*, C. Qu, G. Chen and J. Xia, "Location Updating Scheme of Sink Node Based on Topology Balance and Reinforcement Learning in WSN," IEEE Access, vol. 7, pp. 100066-100080, 2019

9. X. Wang, Q. Zhou* and J. Tong, "V-Matrix-Based Scalable Data Aggregation Scheme in WSN," IEEE Access, vol. 7, pp. 56081-56094, 2019

10. L. Wang, M. Peng* and Q. Zhou, "Pre-Impact Fall Detection Based on Multi-Source CNN Ensemble," IEEE Sensors Journal, vol. 20, no. 10, pp. 5442-5451, 15 May15, 2020

11. X. Wang, Q. Zhou*, Y. Gu and J. Tong, "Compressive Sensing-Based Data Aggregation Approaches for Dynamic WSNs," IEEE Communications Letters, vol. 23, no. 6, pp. 1073-1076, June 2019

12. J. Wu, X. Liu, C. Qu, C. -T. Cheng and Q. Zhou*, "Balanced-Switching-Oriented Blind Interference-Alignment Scheme for 2-User MISO Interference Channel," IEEE Communications Letters, vol. 24, no. 10, pp. 2324-2328, Oct. 2020

13. X. Liu, Q. Zhou*, C. -T. Cheng, J. Wu, X. Wang and L. Fan, "An ω-Free Gyro-Free Accelerometer Pair Algorithm for 2D Trajectory Reconstruction," IEEE Transactions on Vehicular Technology, vol. 69, no. 12, pp. 16173-16177, Dec. 2020

14. Qu C, Liu X, Wu J, Yin L, Li H, Cheng C-T, Zhou Q F*, Retransmission Methods to Improve Voltage Control of Distributed Generation System, IEEE Comm. Lett, 2021

15. 《无线网络编码》， 周清峰，主编，人民邮电出版社，2014