Zhong Liang, PhD, associate professor, master supervisor
He is engaged in the theoretical research on image enhancement and pattern recognition, resource collaborative management, and edge computing network task management, etc. In terms of application, he focuses on underwater image enhancement and pattern recognition, ultrasonic image processing, and the development of wearable intelligent monitoring devices, and has achieved many research results and published more than 30 academic papers, including well-known domestic and foreign journals such as IEEE Internet of Things Journal, IEEE Transactions on Vehicle Technology, and China Communications. He has been in charge of and completed “Research on Cross layer Interference Management of D2D Network in the Middle and Bottom Layer of Large scale MIMO Cellular System” (Youth Program of the National Natural Science Foundation of China), and “Research on Load Balancing of Space based UAV Cluster Edge Computing Network” (General Program of the National Natural Science Foundation of China). He has also participated in many scientific research projects, such as “Collaborative Control and Optimal Design of Multi-dimensional Cluster Intelligent Network Based on Cloud Architecture” (General Program of the National Natural Science Foundation of China). He serves as a reviewer for internationally renowned academic journals such as IEEE Internet of Things Journal, and IEEE Transactions on Industrial Informatics, Vice Chair of the Program Committee of IEEE BdCloud 2023, Local Management Chair of IEEE EUC 2022, and a TPC member of IEEE INFOCOM AidTSP 2023.
Contact Information:
Email: zhongliang@cug.edu.cn; zhongliang@whu.edu.cn
Office: Room 527 of No. 2 Teaching Building
Main Experience:
2019/12-present: Associate professor at the School of Mechanical Engineering and Electronic Information, China University of Geosciences (Wuhan)
2016/10-2019/12: Lecturer at the School of Mechanical Engineering and Electronic Information, China University of Geosciences (Wuhan)
2013/10-2016/10: Postdoctoral at Wuhan University, supervisor: Zhou Hong
2007/09-2013/06: PhD in Information and Communication Engineering at Huazhong University of Science and Technology; supervisor: Zhu Guangxi
2003/09-2007/06: Bachelor in Communication Engineering at Huazhong University of Science and Technology
Main research fields:
1) Deep reinforcement learning, deep learning algorithms;
2) Application of game theory and convex optimization;
3) Pattern recognition, image enhancement, wearable smart devices;
4) Large model-based application development, etc.
Scientific Research Programs as the PI or Participant:
1. General Program of the National Natural Science Foundation of China, “Research on Load Balancing of Space based UAV Cluster Edge Computing Network”, 2024/01/01-2027/12/31, under study, PI
2. Youth Program of the National Natural Science Foundation of China, “Research on the cross-layer interference management of bottom D2D network in large scale MIMO cellular system”, 2017/01-2019/12, concluded, PI
3. National Natural Science Foundation of China, 62073301, “Collaborative control and optimal design of multi-dimensional cluster intelligence networks based on cloud architecture”, under study, participant
4. Youth Program of the National Natural Science Foundation of China, 61703374, “Collaborative control of heterogeneous multi-intelligent body networks based on human-machine collaboration”, 2018/01-2020/12, RMB 230,000Yuan, concluded, participant
5. “Research service on load signals and error effects of low-voltage current transformers for metering under typical operating conditions”, under study, participant
6. Distribution network data monitoring and testing, under study, PI
7. Research on on-site training and operation of live AC transformer calibration, under study, participant
8. Deep learning based image enhancement algorithms, under study, PI
9. Development of a wearable real-time oximetry monitoring device, under study, PI
Publications in the past five years:
[1] L. Zhong, M. Ge, S. Zhang and Y. Liu, "Rate Aware Fuzzy Clustering and Stable Sensor Association for Load Balancing in WSNs," in IEEE Internet of Things Journal, doi: 10.1109/JIOT.2021.3098352.
[2] Liang Zhong(#); Mingxuan Li; Yang Cao; Tao Jiang(*); Stable User Association and Resource Allocation Based on Stackelberg Game in Backhaul-Constrained HetNets, IEEE Transactions on Vehicular Technology, 2019-8-28 , 68(10): 10239-10251. SCIE.
[3] Liang Zhong(#); Xueqian Zheng; Jie Lin; Yang Cao; ShengGen Ju(*); Adaptive Delay Optimization of Multicast-Enabled Coded Caching in Device-to-Device Networks, China communications, 2020, 17(1): 42-48. SCIE.
[4] Liang Zhong(#); Xueqian Zheng; Yong Liu; Mengting Wang; Yang Cao(*); Cache Hit Ratio Maximization in Device-to-Device Communications Overlaying Cellular Networks, China communications, 2020, 17(2): 232-238. SCIE.
[5] Mingxuan Li(#); Jie Lin; Liang Zhong(*); Mengting Wang; Wei Lu; Cooperative Relay Based on Exploiting Hybrid ARQ, China Communications, 2019-9, 16(9): 187-200. SCIE.
[6] Wei Lu(#)(*); Yongliang Wang; Xiaoqiao Wen; Shixin peng; Liang Zhong; Downlink Channel Estimation in Massive Multiple-Input Multiple-Output with Correlated Sparsity by Overcomplete Dictionary and Bayesian Inference, Electronics, 2019-5 , 8(5): 0-473. SCIE.
[7] Wei Lu(#)(*); Yongliang Wang; Xiaoqiao Wen; Xiaoqiang Hua; Shixin Peng; Liang Zhong; Compressive Downlink Channel Estimation for FDD Massive MIMO Using Weighted l(p) Minimization, IEEE Access, 2019 , 7: 86964-86978. SCIE, EI.
[8] Qiang Hou (#), Can Jie, Yafeng Yao, Liang Zhong. A fast all digital phase-locked loop design with high resolution TDC, Journal of Harbin Institute of Technology, 2018, (11): 83-88. EI, other.
[9] Yafeng Yao (#); Lingzhi Zou; Wei Wang; Liang Zhong; Low-consumption and LUT-omitted CORDIC algorithm, Journal of Harbin Institute of Technology, 2017, (11): 109-114. EI, other.
[10] Yafeng Yao (#); Lingzhi Zou; Qiang Hou; Liang Zhong; Design of a High-Precision CORDIC Algorithm with Compressed Look-up Table, Journal of South China University of Technology(Natural Science Edition), 2018, (10): 58-62+71. EI, other.
[11] Ming Feng Ge(#); Liang Zhong; Xiao Wen Zhao; Tao Han; Zhi Wei Liu; Model-free formation tracking control of networked robotic systems with input disturbances, 2017 13th IEEE Conference on Automation Science and Engineering (CASE), 2017/8/20-2017/8/23. EI.
[12] Wei Lu; Yongliang Wang; Qiaoqiang Hua; Xiaoqiao Wen; Shixin Peng; Liang Zhong; Weighted lp Minimization for Compressive Channel Estimation in FDD Massive MIMO, 2018 IEEE 4th International Conference on Computer and Communications, 2018/12/7-2018/12/10. EI.
[13] Wei Lu; Yongliang Wang; Qiaoqiang Hua; Wei Zhang; Shixin Peng; Liang Zhong; Uplink-aided Downlink Channel Estimation in FDD Massive MIMO by Variational Bayesian Inference, 2018 the 4th International Conference on Communication and Information Processing, 2018/11/2-2018/11/4. EI.
Monographs & Patents
Zhong Liang, Research on Interference Alignment Theory and Its Iterative Algorithms, Sichuan University Press, 186,000 words, 2019/12.
Zhong Liang, A wireless relay method in cognitive networks that does not rely on non-causal information [P]. Hubei Province: CN110099386B, 2020/12/29.
Courses for Undergraduate:
Embedded System Design; C/C++Language Programming; Android app development
Awards:
Top 10% of Undergraduate Teaching Quality Assessment in;
Second Prize in the 2023 CUG Teaching Competition for Young Teachers;
First Prize in the 2023 School Teaching Competition for Young Teachers
Supervised Graduate Students:
Grade 2019: Chen Guang (Chongqing Mobile)
Grade 2020: Zhang Shizhong (Agricultural Bank of China, Xi’an Branch)
Grade 2021: Zeng Yulu, Li Youyuan
Grade 2022: Yu Peng
Grade 2022: Liu Shiwen, Zhu Jiaohui
