Short Bio

Dr. Yushuai Li is an assistant professor in Department of Computer Science at Aalborg University. He has published more than 100 papers in prestigious journals and conferences. Two of them are “Hot Papers and eight of them are "Highly Cited Papers". He has an h-index of 27 and 3200+ citations according to Google scholar. He received the Best Paper Awards from Journal of Modern Power Systems and Clean Energy (MPCE), 2023 International Conference on Cyber-energy Systems and Intelligent Energies (ICCSIE), and 2024 IEEE Conference on Energy Internet and Energy System Integration (EI2). He received the Excellent Young Expert Award from MPCE (2023), the CAA Second Prize of National Natural Science (2022), the CAA First Prize of National Natural Science (2023). He served as the Student Video / PHD Thesis Competition Chair for IEEE SmartGridComm 2024, Section Chair for SPIES 2022 and IEEE EI2 2022, and Track Chair for ISIE 2024. He is currently the associate editors of IEEE Transactions on Industrial Informatics, IEEE Transactions on Automation Science and Engineering, IEEE Systems, Man, and Cybernetics Magazine, and Journal of Modern Power Systems and Clean Energy.

Research Interests

My primary research is cooperative and digital operation for integrated energy and transportation systems. Specifically, my current research interests are as follows:

• Reinforcement learning
• Deep learning
• Digital twin
• Energy Internet (integrated energy and transportation systems)
• Autonomous driving

Summary of Awards and Scientific Contributions

• The Best Theoretical Paper Award (Corresponding author), The 8th IEEE Conference on Energy Internet and Energy System Integration (EI2), 2024
• The Best Paper Award (First author), 2023 International Conference on Cyber-energy Systems and Intelligent Energies (ICCSIE), 2023
• The Excellent Young Expert Award, Journal of Modern Power Systems and Clean Energy (MPCE), 2023
• The CAA First Prize of National Natural Science, 2023
• The Star Reviewer Award, IEEE Transactions on Energy Conversion, 2023
• The Excellent Reviewer Award, MPCE, 2023
• The CAA Second Prize of National Natural Science, 2022
• The Excellent Reviewer Award, MPCE, 2022
• The Best Paper Award (First author), MPCE, 2021
• 3200+ citations and H-index 27 according to Google Scholar
• 2 ESI “Hot papers” and 8 ESI “Highly cited papers”

Selected Publications

google scholar entry

100+ publications.

1. Y. Huang, Q. Sun, Z. Chen, D.W. Gao, T.B. Pedersen, K.G. Larsen, and Y. Li, “Dynamic Modeling and Analysis for Electricity-Gas Systems with Electric-driven Compressors,” IEEE Transactions on Smart Grid, doi: 10.1109/TSG.2025.3527221, 2025.
2. F. Teng, X. Zhang, T. Li, Q. Shan, C. L. P. Chen, and Y. Li, “Distributed Resilient Energy Management for Seaport Microgrid Against Stealthy Attacks With Limited Security Defense Resource,” IEEE Transactions on Cybernetics, doi: 10.1109/TCYB.2024.3514693, 2025.
3. Z. Song, Y. Gu, T. Li, Y. Li, Q. Sun, Y. Zhang, C. S. Jensen, and G. Yu, “SWASH: A Flexible Communication Framework with Sliding Window-Based Cache Sharing for Scalable DGNN Training,” The ACM SIGMOD International Conference on Management of Data (SIGMOD), 2025. (Accepted, to appear; CORE A*)
4. Y. Song, Y. Gu, T. Li, Y. Li, C. S. Jensen, and G. Yu, “Quantifying Point Contributions: A Lightweight Framework for Efficient and Effective Query-Driven Trajectory Simplification,” The International Conference on Very Large Databases (PVLDB), 2025. (Accepted, to appear; CORE A*)
5. Z. Song, Y. Gu, Q. Sun, T. Li, Y. Zhang, Y. Li, C.S. Jensen, and G. Yu, “DynaHB: A Communication-Avoiding Asynchronous Distributed Framework with Hybrid Batches for Dynamic GNN Training,” The International Conference on Very Large Data Bases (PVLDB), 2024. (CORE A*)
6. Y. Lin, Z. Zhou, Y. Liu, H. Lv, H. Wen, T. Li, Y. Li, C.S. Jensen, S. Guo, Y. Lin, and H. Wan, “UniTE: A Survey and Unified Pipeline for Pre-Training Spatiotemporal Trajectory Embeddings,” IEEE Transactions on Knowledge and Data Engineering, doi: 10.1109/TKDE.2024.3523996, 2024.
7. J. Xu, Y. Li* T. B. Pedersen, Y. He, K. G. Larsen, T. Li, “Digital Twin-Empowered Voltage Control for Power Systems,” The 8th IEEE Conference on Energy Internet and Energy System Integration (IEEE EI2), 2024. (Best Theoretical Paper)
8. Y. Li, P. Guan, T. Li, K. G. Larsen, M. Aiello, T. B. Pedersen, T. Huang, and Yan, Zhang, “Digital Twin for Secure Peer-to-Peer Trading in Cyber-Physical Energy Systems,” IEEE Transactions on Network Science and Engineering, doi: 10.1109/TNSE.2024.3507956, 2024.
9. Y. Li, J. Xu, T. Li, E. Mocanu, C. S. Jensen, D. W. Gao, Y. Zhang, “Digital Twin Empowered Autonomous Driving for E-mobility,” IEEE Electrification Magazine, vol. 12, no. 3, pp. 68-77, 2024.
10. T. Li, Y. Li* , Y. Song, Z. Yao, W. Gao and D. Wenzhong Gao, “Networked Digital Twins for Autonomous Vehicles: A New Perspective,” IEEE Transactions on Intelligent Vehicles, doi: 10.1109/TIV.2024.3492804, 2024.
11. F. Teng, X. Zhang, T. Li, Q. Shan, C. L. P. Chen, and Y. Li, "Distributed Resilient Energy Management for Seaport Microgrid Against Stealthy Attacks With Limited Security Defense Resource," IEEE Transactions on Cybernetics, doi: 10.1109/TCYB.2024.3514693, 2024.
12. F. Teng, L. Wang, T. Li, Q. Zhang, and Y. Li, “Distributed Noise-Resilient Secondary Control for AC Shipboard Microgrid Under Disturbances,” IEEE Transactions on Transportation Electrification, doi: 10.1109/TTE.2024.3483939, 2024.
13. X. Ma, S. Zhang, Y. Li, F. Qian, Z. Sun and T. Huang, “Adaptive Robust Tracking Control with Active Learning for Linear Systems with Ellipsoidal Bounded Uncertainties,” IEEE Transactions on Automatic Control, vol. 69, no. 11, pp. 8096-8103, 2024.
14. F. Teng, Z. Ban, T. Li, Q. Sun and Y. Li* , “A Privacy-Preserving Distributed Economic Dispatch Method for Integrated Port Microgrid and Computing Power Network,” IEEE Transactions on Industrial Informatics, vol. 20, no. 8, pp. 10103-10112, 2024. (ESI “Highly cited papers” )
15. R. Ren, Y. Li* , Q. Sun, X. Xie, L. Liu and D. W. Gao, “Digital Twin Assisted Economic Dispatch for Energy Internet with Information Entropy,” IEEE Transactions on Automation Science and Engineering, doi: 10.1109/TASE.2024.3386358, 2024.
16. S. Liu, Y. Li* , and T. Li, et al., “FedAGL: A Communication-Efficient Federated Vehicular Network,” IEEE Transactions on Intelligent Vehicles, vol. 9, no. 2, pp. 3704-3720, 2024.
17. Y. Li and Y. Zhang, “Digital twin for industrial internet,” Fundamental Research, vol 4, no. 1, pp. 21-24, 2024.
18. R. Xi, H. Zhang, H. Huang and Y. Li, “Adaptive Command Filtered Control for a Class of Random Nonlinear Systems Under Model-Based Event-Triggered Control Design,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 54, no. 8, pp. 5074-5084, 2024.
19. N. Zhang, J. Yan, C. Hu, Q. Sun, L. Yang, D.W. Gao, J. M. Guerrero, and Y. Li, “Price-Matching-Based Regional Energy Market With Hierarchical Reinforcement Learning Algorithm,” IEEE Transactions on Industrial Informatics, vol. 20, no. 9, pp. 11103-11114, 2024.
20. W. Liao, R. Zhu, T. Ishizaki, and Y. Li, et al., “Can Gas Consumption Data Improve the Performance of Electricity Theft Detection?,” IEEE Transactions on Industrial Informatics, vol. 20, no. 6, pp. 8453-8465, 2024.
21. Zhou J, Guo Y, Yang L, J. Shi, Y. Zhang, Y. Li, Q. Guo, H. Sun, “A review on frequency management for low-inertia power systems: From inertia and fast frequency response perspectives,” Electric Power Systems Research, vol. 228, pp. 110095, 2024.
22. X. Wang, Y. Zhou, B. Luo, Y. Li and T. Huang, “Event-Triggered Neuro-Adaptive Fixed-Time Control for Nonlinear Switched and Constrained Systems: An Initial Condition-Independent Method,” IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 71, no. 5, pp. 2229-2239, 2024.
23. Z. Liu, B. Huang, and Y. Li, et al, “Pricing Game and Blockchain for Electricity Data Trading in Low-Carbon Smart Energy Systems,” IEEE Transactions on Industrial Informatics, vol. 20, no. 4, pp. 6446-6456, 2024. (ESI “Highly cited papers” )
24. J. Wu, T. Dai, P. Guan, S. Liu, F. Gou, A. Taherkordi, and Y. Li, et al, “FedAPT: Joint Adaptive Parameter Freezing and Resource Allocation for Communication-Efficient Federated Vehicular Networks,” IEEE Internet of Things Journal, vol. 11, no. 11, pp. 19520-19536, 1 June1, 2024.
25. F. Teng, Y. Zhang, T. Yang, T. Li, Y. Xiao and Y. Li, "Distributed Optimal Energy Management for We-Energy Considering Operation Security,” IEEE Transactions on Network Science and Engineering, vol. 11, no. 1, pp. 225-235, Jan.-Feb. 2024. (ESI “Highly cited papers” )
26. Z. Ming, H. Zhang, Y. Li and Y. Liang, “Mixed H2/H∞ control for nonlinear closed-loop stackelberg games With application to power systems,” IEEE Transactions on Automation Science and Engineering, vol. 21, no. 1, pp. 69-77, Jan. 2024. (ESI “Highly cited papers” )
27. X. Zhang, Y. Li*, and T. Li, et al., “Digital Twin Empowered PV Power Prediction,” Journal of Modern Power Systems and Clean Energy, vol. 12, no. 5, pp. 1472-1483, 2024.
28. Y. Li, B. Huang, J. Dai, D. W. Gao, Q. Sun and H. Zhang, “Distributed Resilient Initialization-Free Jacobi Descent Algorithm for Constrained Optimization Against DoS Attacks,” IEEE Transactions on Automation Science and Engineering, vol. 21, no. 3, pp. 3332-3343, 2024.
29. R. Ren, Y. Li*, Q. Sun, S. Zhang, D. W. Gao and S. Maharjan, “Switched Surplus-Based Distributed Security Dispatch for Smart Grid With Persistent Packet Loss,” IEEE Internet of Things Journal, doi: 10.1109/JIOT.2023.3311758, 2023.
30. Y. Li, T. Li, and Y. Gui, et al., “Controllable Structure Planning for Energy Internet,” 2022 First International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE) . IEEE, 2023. (Best Paper Award)
31. Y. Li, R, Ren, B. Huang, et al., “Distributed hybrid-triggering-based secure dispatch approach for smart grid against DoS attacks,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 53, no. 6, pp. 3574-3587, 2023.
32. Y. uang. Q. Sun, and Y. Li, et al., “Damping technique empowered robust energy flow calculation for integrated energy systems,” Applied Energy, vol. 343, pp. 121168, 2023.
33. D. Wang, R. Fan, and Y. Li, et al., “Digital twin based multi-objective energy management strategy for energy internet,” International Journal of Electrical Power & Energy Systems, vol. 154, pp. 109368, 2023.
34. R. Wang, W. Li, Q. Sun, and Y. Li, et al., “Fully distributed dynamic edge-event-triggered current sharing control strategy for multi-bus dc microgrids with power coupling,” IEEE Transactions on Industrial Informatics, vol. 19, no. 4, pp. 5667-5678, 2023.
35. Y. Huang, Q. Sun, and Y. Li, et al., “Adaptive-discretization based dynamic optimal energy flow for the heat-electricity integrated energy systems with hybrid ac/dc power sources,” IEEE Transactions on Automation Science and Engineering, vol. 20, no. 3, pp. 1864-1875, 2023.
36. Y. Huang, Q. Sun, and Y. Li, et al., “A multi-rate dynamic energy flow analysis method for integrated electricity-gas-heat system with different time-scale,” IEEE Transactions on Power Delivery, vol. 38, no. 1, pp. 231-243, 2023.
37. Y. Li, T. Li, and H. Zhang, et. al, “Distributed resilient double-gradient-descent based energy management strategy for multi-energy system under dos attacks,” IEEE Transactions on Network Science and Engineering, vol. 9, no. 4, pp. 2301-2316, 2022. [Paper]

38. Y. Li, J. Wang, and R. Wang, et al., “A switched Newton–Raphson-based distributed energy management algorithm for multienergy system under persistent DoS attacks,” IEEE Transactions on Automation Science and Engineering, vol. 19, no. 4, pp. 2985-2997, 2022.
39. B. Huang, Y. Li*, F. Zhan, Q. Sun and H. Zhang, “A distributed robust economic dispatch strategy for integrated energy system considering cyber-attacks,” IEEE Transactions on Industrial Informatics, vol. 18, no. 2, pp. 880-890, 2022. (ESI “Highly cited papers” )
40. L. Yang, Q. Sun, N. Zhang and Y. Li*, “Indirect multi-energy transactions of energy internet with deep reinforcement learning approach,” IEEE Transactions on Power Systems, vol. 37, no. 5, pp. 4067-4077, 2022.
41. R. Ren, Y. Li*, and Q. Sun, et al., “Distributed neurodynamic-based economic dispatch strategy for we-energy,” Neurocomputing,vol. 511, pp. 91-104, 2022.
42. N. Zhang, Q. Sun, L. Yang and Y. Li, “Event-triggered distributed hybrid control scheme for integrated energy system,” IEEE Transactions on Industrial Informatics, vol. 18, no. 2, pp. 835-846, 2022. (ESI “Highly cited papers” )
43. Y. Li, D. W. Gao, and W. Gao, et al., “A distributed double-Newton descent algorithm for cooperative energy management of multiple energy bodies in energy internet,” IEEE Transactions on Industrial Informatics, vol. 17, no. 9, pp. 5993-6003, 2021.
44. R. Wang, Q. Sun, W. Hu, and Y. Li, et al, “SoC-based droop coefficients stability region analysis of the battery for stand-alone supply systems with constant power loads,” IEEE Transactions on Power Electronics, vol. 36, no. 7, pp. 7866-7879, 2021. (ESI “Highly cited papers” )
45. Y. Li, W. Gao, and W. Yan, et al., “Data-driven optimal control strategy for virtual synchronous generator via deep reinforcement learning approach,” Journal of Modern Power Systems and Clean Energy, vol. 9, no. 4, pp. 919-929, 2021. (Best Paper Award)
46. Y. Li, H. Zhang, and B. Huang, et al., “A distributed Newton-Raphson-based coordination algorithm for multi-agent optimization with discrete-time communication,” Neural Computing & Applications, vol. 32, pp. 4649–4663, 2020.
47. Y. Li, D. W. Gao, H. Zhang, et al., “Double-mode energy management for multi-energy system via distributed dynamic event-triggered Newton-Raphson algorithm,” IEEE Transactions on Smart Grid, vol. 11, no. 6, pp. 5339-5356, 2020.
48. J. Zhou, Y. Xu, H. Sun, and Y. Li, et al., “Distributed power management for networked ac/dc microgrids with unbalanced microgrids,” IEEE Transactions on Industrial Informatics, vol. 16, no. 3, pp. 1655-1667, 2020.
49. Y. Li, H. Zhang, and X. Liang, et al., “Event-triggered based distributed cooperative energy management for multienergy systems,” IEEE Transactions on Industrial Informatics, vol. 15, no. 14, pp. 2008-2022, 2019. (ESI “Highly cited papers” )
50. Q. Sun, R. Fan, and Y. Li. et al., “A distributed double-consensus algorithm for residential we-energy,” IEEE Transactions on Industrial Informatics, vol. 15, no. 8, pp. 4830-4842, 2019.
51. B. Huang, L. Liu, H. Zhang, Y. Li, et al., “Distributed optimal economic dispatch for microgrids considering communication delays,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 49, no. 8, pp. 1634-1642, 2019.
52. Y. Li, B. Huang, and H. Zhang, “Synchronization analysis for coupled static neural networks with stochastic disturbance and interval time-varying delay,” Neural Computing & Applications, vol. 30, no. 4, pp. 1123–1132. 2018.
53. Y. Li, H. Zhang, and J. Han, et al., “Distributed multi-agent optimization via event-triggered based continuous-time Newton-Raphson algorithm,” Neurocomputing, vol. 275, no. 31, pp. 1416-1425, 2018.
54. H. Zhang, Y. Li, and D. Gao, et al., “Distributed optimal energy management for energy internet,” IEEE Transactions on Industrial Informatics, vo. 13, no. 6, pp. 3081-3097, 2017.

Selected Patents

• H. Zhang, Q. Sun, B. Jiang, J. Yang, X. Liu, D. Ma, Z. Liu,Z. Wang,Z. He,F. Teng,J. Gu, X. Li, J. Liang,Y. Li, and J. Cui, “A battery storage device for distributed hybrid powered smart grid system and control method thereof,” European Patent, No. EP2645522B1, 2015-01-26.
• Y. Li, et al., “Adaptive control device and method for virtual synchronous generator under network attack,” Chinese Patent, No. 202210466755.5, 2022-04-30.
• Y. Li, et al., “A distributed energy information system energy management device and method,” China Patent, Chinese Patent,No. 202210466754.0, 2022-07-27.

Project Experience

[Project Investigator (PI)]  

• EU H2020 (Marie Skłodowska-Curie Individual Fellowships), SPOCEI: Smart Planning, Operation and Control for Energy Internet, 01/2022-01/2024. Link to

[Project Participant]  

• The Association of Danish Industry, Digital Energy Hub, 2022-2025.
• The U.S. National Science Foundation, Distributed Control, Optimization and State Estimation of Networked Microgrids with Enhanced Stability, No.1711951, 01/2018-01/2020.
• The National Natural Science Foundation of China, Distributed Energy-Saving Optimization Method for Energy Internet with Multi-Energy Coupling Features, No. 61603085, 01/2017-12/2019.
• The National Natural Science Foundation of China: Cyber-Physical Fault Diagnosis Method for Distributed Multi-Energy System, No.61773109, 01/2018-12/2021.

[Project Application]  

• PI, Villum Experiment, Digimics: Collaborative Digital Twins Modeling to Understand the Inherent Dynamics of Energy Systems, 2024.
• Co-PI (Leader of Task 3.2), EU HORIZON-IA HORIZON Innovation Actions, TWIN4B2G: Digital Twin for Building-to-Grid Services, 2024.

Professional Services

[Membership/Secretary]  

• IEEE Senior Member, IEEE IES Member, IEEE PES Member, and IEEE Young Professionals
• Deputy Secretary-General, Energy Internet Professional Committee of CAA, 2020-2022

[Student Video / PHD Thesis Competition Chair]  

• The 15th IEEE International Conference on Smart Grid Communications (SmartGridComm 2024)

[Session/Track/Workshop Chair]  

• The 4th IEEE Conference on Energy Internet and Energy System Integration, 2020
• The 4th International Conference on Smart Power & Internet Energy Systems, Topic: Modeling and ontrol of distributed energy sources, 2022
• The 15th IEEE SmartGridComm, Topic: Digital Twin for Smart Grid, 2024
• The 33th Industrial Symposium on Industrial Electronics (ISIE) , Topic: Signal and Image Processing and Computational Intelligence, 2024
• The 15th IEEE SmartGridComm, Topic: Cyber-Physical Security for Distributed Energy Resources, 2024
• The 8th IEEE Conference on Energy Internet and Energy System Integration, Topic: Distributed Optimization and Machine Learing for Energy Internet, 2024

[Associated Editor]  

• IEEE Transactions on Industrial Informatics, 2024-now
• IEEE Transactions on Automation Science and Engineering, 2024-now
• IEEE Systems, Man, and Cybernetics Magazine, 2024-now
• Journal of Modern Power Systems and Clean Energy, 2024-now

[Selected Journal Reviewers]  

• MPCE, TASE, TII, TSG, TEC, TNSE, TIV, TIE, TITS, etc.

[PC Member]  

• AAAI 2023-2024, ICDE 2024, ACM e-energy 2024, EI2 2024, CSIS-IAC 2023, SPIES 2022, CCDC 2021.

Teaching

[Lecturing]  

• Lecturer, Data Mining, AAU, Spring, 2025.
• Guest Lecturer, Deep Reinforcement Learning for Demand Response and Energy Management, University of Oslo, fall 2023 & 2024.
• Lecturer, Energy Internet and Smart Energy, master level, Spring 2021.

[Supervisors]  

• Ph.D. Candidate

Jiachen Xu, Research topic “Digital Twin Empowered Predictive and Flexible Power Trading for building Energy Systems,” 2024-2027 (expected)

[Faculty lecture/Tutorials/Invited talk]  

• Faculty lecture: “Distributed Optimal Economic Dispatch Problem for Power System and Energy Internet,” University of Denver, Fall 2019.
• Tutorials: “Machine Learning and Distributed Optimization for Cyber-Physical Energy Systems,” the 22nd IEEE International Conference on Industrial Informatics, August 17-20, Beijing, China, 2024.
• Tutorials: “Machine Learning and Optimization for Smart Grid,” The 11th International Conference on Innovative Smart Grid Technologies, Singapore, November, 2022.
• Invited talk: “Fast energy management for Energy Internet,” The 4th IEEE Conference on Energy Internet and Energy System Integration, Wuhan, China, November, 2020.
• Invited talk: “Fast energy management for Energy Internet,” LUCS-PACE workshop, Munich, Germany, March, 2022.
• Invited talk: “Distributed optimization for Energy Internet,” CAA Youth e-Summit (CAA YeS), China, March, 2022.
• Invited talk: “Distributed optimization for Energy Internet,” PriTEM workshop, Oslo, Norway, March 22-23, 2023.