Faculty
Professor Zaiyue Yang is a tenured professor at the School of Automation and Intelligent Manufacturing, Southern University of Science and Technology (SUSTech). He is a recipient of the Zhejiang Provincial Distinguished Young Scholar Award, has been selected for the Stanford-Elsevier World's Top 2% Scientists List, and recognized as a Top 0.5% Highly Cited Researcher worldwide by ScholarGPS in 2024. He received his Bachelor’s and Master’s degrees in Automation from the University of Science and Technology of China (USTC) in 2001 and 2004, respectively, and his Ph.D. in Mechanical Engineering from The University of Hong Kong in 2008. From 2008 to 2010, he conducted postdoctoral research at The Hong Kong Polytechnic University. Between 2010 and 2017, he served as Associate Professor and later Full Professor at the College of Control Science and Engineering, Zhejiang University. His research interests include system optimization and control, smart grids, and signal processing and analysis. He has led over 20 research projects, including three funded by the National Natural Science Foundation of China (NSFC), as well as key projects under the National Key R&D Program, Zhejiang Provincial Natural Science Foundation, Guangdong International Collaboration Program, and Shenzhen Key Research Programs. Professor Yang has published over 100 academic papers, with more than 6,630 citations and an H-index of 38 (Google Scholar). He is recognized as a Shenzhen High-level Leading Talent, a Senior Member of IEEE, and serves as an Associate Editor for IEEE Transactions on Industrial Informatics and a committee member of the IEEE IES Technical Committee on Smart Grids. Graduates have pursued careers at leading universities, research institutes, and high-tech companies. Some have become Ph.D. or Master’s supervisors at Peking University, Zhejiang University, Zhejiang University of Technology, while others have joined research institutes such as the China Electric Power Research Institute and Beihang University Hangzhou Research Institute. Many have also joined well-known companies including Alibaba, Huawei, and Baidu.
Research Areas:
System Optimization and Control: Multi-UAV localization, UAV formation control, multi-robot collaboration, adaptive control
Smart Grids: Electric vehicles, electricity markets, renewable energy, demand response
Signal Processing and Analysis: Motion capture, motion modeling and analysis, statistical signal processing, sensor networks
Experiences：
◆ 2023.2~ ，Professor, School of Automation and Intelligent Manufacturing, Southern University of Science and Technology
◆ 2017.8~2023.2，Professor, Dept. of Mechanical and Energy Engineering, Southern University of Science and Technology
◆ 2010.2~2017.8，Associate Professor/Professor, College of Control Science and Engineering, Zhejiang University
◆ 2008.10~2010.4，postdoc, Dept. of Applied Mathematics, Hong Kong Polytechnic University
Education:
◆ 2008.9，PhD, The University of Hong Kong
◆ 2004.6，Master, University of Science and Technology of China
◆ 2001.6，Bachelor, University of Science and Technology of China
Awards & Honors:
◆Selected for the 2024 Stanford-Elsevier World's Top 2% Scientists List
◆Recognized as a Top 0.5% Highly Cited Researcher worldwide by ScholarGPS in 2024
◆2015, Outstanding Young Research award of Zhejiang Provincial Natural Science Foundation
◆2013, “151” Talent of Zhejiang Province
Papers：
1. Z. He, Y. Tian, H. Miao, C. Yao and Z. Yang, Electric Vehicle Routing Problem with Capacitated Charging Stations and Dynamic Electricity Prices, IEEE Internet of Things Journal, vol. 12, no. 13, pp. 23763 - 23772, 2025;
2. R. Chen, J. Cheng, Z. Liang, S. Ding, and Z. Yang, Vehicle Motion Planning in Complex Environment via Decomposition and Convexification, IEEE Internet of Things Journal, vol. 11, no.7, pp. 12087.12101, 2024;
3. C. Yao, S. Chen and Z. Yang, Joint Routing and Charging Problem of Electric Vehicles with Incentive-aware Customers Considering Spatio-temporal Charging Prices, IEEE Trans. Intelligent Transportation Systems, vol. 24, no. 11, pp. 12215-12226, 2023;
4. S. Chen, H. Miao, Z. Guo, L. Yang, C. Yao and Z. Yang, A Truthful Combinatorial Reverse Auction Mechanism for Crowd-shipping, IEEE Internet of Things Journal, vol. 10, no. 20, pp. 18225-18236, 2023;
5. H. Ma, Z. Yang and H. Liu, Fine-grained Unsupervised Temporal Action Segmentation and Distributed Representation for Skeleton-based Human Motion Analysis, IEEE Trans. Cybernetics, vol. 52, no. 12, pp. 13411-13424, 2022;
6. R. Chen and Z. Yang, A Cooperative Merging Strategy for Connected and Automated Vehicles Based on Game Theory with Transferable Utility, IEEE Trans. Intelligent Transportation Systems, vol. 23, no. 10, pp. 19213-19223, 2022;
7. C. Yao, S. Chen and Z. Yang, Online Distributed Routing Problem of Electric Vehicles, IEEE Trans. Intelligent Transportation Systems, vol. 23, no. 9, 16330-16341, 2022;
8. C. Yao, S. Chen and Z. Yang, Joint Routing and Charging Problem of Multiple Electric Vehicles: A Fast Optimization Algorithm, IEEE Trans. Intelligent Transportation Systems, vol. 23, no. 9,8184-8193, 2022;
9. J. Sun, T. Chen, G. Giannakis, Q. Yang, and Z. Yang, Lazily aggregated quantized gradient innovation for communication-efficient federated learning, IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 44, no. 4, 2031-2044, 2022;
10. Z. Guo, P. Pinson, S. Chen, Q. Yang and Z. Yang, An Asynchronous Online Negotiation Mechanism for Real-Time Peer-to-Peer Electricity Markets, IEEE Trans. Power Systems, vol. 37, no. 3, 1868-1880, 2022;
11. T.M. Alabi, L. Lu and Z. Yang, Data-driven optimal scheduling of multi-energy system virtual power plant (MEVPP) incorporating carbon capture system (CCS), electric vehicle flexibility, and clean energy marketer (CEM) strategy, Applied Energy, vol. 314, 118997, 2022;
12. W. Liu, S. Chen, Y. Hou and Z. Yang, Trilevel Mixed Integer Optimization for Day-ahead Spinning Reserve Management of Electric Vehicle Aggregator with Uncertainty, IEEE Trans. Smart Grid, vol. 13, no. 1, 613-625, 2022;
13. Z. Guo, P. Pinson, S. Chen, Q. Yang and Z. Yang, Online Optimization for Real-Time Peer-to-Peer Electricity Market Mechanisms, IEEE Trans. Smart Grid, vol. 12, no. 5, 4151-4163, 2021;
14. W. Liu, S. Chen, Y. Hou and Z. Yang, Optimal Reserve Management of Electric Vehicle Aggregator: Discrete Bilevel Optimization Model and Exact Algorithm, IEEE Trans. Smart Grid, vol. 12, no. 5, 4003-4015, 2021;
15. Z. Guo, P. Pinson, S. Chen, Q. Yang and Z. Yang, Chance-Constrained Peer-to-Peer Joint Energy and Reserve Market Considering Renewable Generation Uncertainty, IEEE Trans. Smart Grid, vol. 12, no. 1, 798-809, 2021;