Yushuai Li(李玉帅)

Tenure-Track Assistant Professor

Department of Computer Science,
Aalborg University,
Selma Lagerlöfs Vej 300 DK-9220, Aalborg Øst, Denmark

Office: 3.2.38
E-mail: yushuaili@ieee.org / yusli@cs.aau.dk
 Google Scholar     DBLP

About Me

Dr. Yushuai Li is an assistiant professor in Department of Computer Science at Aalborg University. His main research interests include distributed optimization and control, machine learning, digital twin, and their ap plications in integrated energy and transportation systems. He has published more than 100 papers in prestigious journals and conferences. Two of them are “Hot Papers and seven of them are "Highly Cited Papers". He has an h-index of 28 and 3800+ citations according to Google scholar. He received the Best Paper Awards from Journal of Modern Power Systems and Clean Energy (MPCE) in 2021 and 2024, and ICCSIE in 2023, IEEE EI2 in 2024. He received the Excellent Young Expert Award from MPCE (2023), the CAA Second Prize of National Natural Science (2022), and the CAA First Prize of National Natural Science (2023). He serves as Associate Editors for IEEE Transactions on Industrial Informatics, IEEE Transactions on Automation Science and Engineering, MPCE, IEEE Systems, Man, and Cybernetics Magazine, IET Cyber-Physical Systems: Theory & Applications, and cyber-physical energy systems. He served as the PHD Thesis Competition Chair for IEEE SmartGridComm 2024 and 2025.

Research Interests

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

Awards and Honours

Selected Publications

Full publications on Google Scholar and DBLP, and * denotes the corresponding author.

  1. (CORE A*) Hengyu Liu, Tianyi Li, Zhihong Cui, Yushuai Li, Zhangkai Wu, Torben Bach Pedersen, Kristian Torp, Christian S. Jensen. Reliable AI Needs to Externalize Implicit Knowledge: A Human-AI Collaboration Perspective. International Conference on Machine Learning (ICML) , 2026.
  2. (CORE A*) Zhen Song, Hao Li, Tianyi Li, Yu Gu, Yushuai Li, Yanfeng Zhang, Christian S. Jensen, Lizhen Cui, Ge Yu. FastGNAS: Accelerating and Scaling Graph Neural Architecture Search on Multi-GPUs via Ring-Based Model Migration. International Conference on Management of Data (SIGMOD) , 2026.
  3. (CORE A) Chenxu Wang, Jiaxing Wei, Tianyi Li, Hongzhen Xiang, Junzhou Zhao, Pinghui Wang, Tao Qin, Yushuai Li, Christian S. Jensen. RTCM: A Distributed Snapshot-Based Framework for Real-Time Co-movement Mining, International Conference on Extending Database Technology (EDBT) , 2026.
  4. (CORE A*) Hengyu Liu, Tianyi Li, Yuqiang He, Kristian Torp, Yushuai Li, and Christian S. Jensen. MH-GIN: Multi-scale heterogeneous graph-based imputation network for AIS data. International Conference on Very Large Databases (PVLDB) , 2026.
  5. (CORE A*) Wentao Xu, Zhongming Yao, Weihao Li, Zhenghang Song, Yumeng Song, Tianyi Li, and Yushuai Li. TCRL: Temporal-Coupled Adversarial Training for Robust Constrained Reinforcement Learning in Worst-Case Scenarios. International Conference on Autonomous Agents and Multiagent Systems (AAMAS) , 2026.
  6. (CORE A*) Guoze Xue, Lu Chen, Ziquan Fang, Yushuai Li, Tianyi Li, and Torben Bach Pedersen. LAMP: A dual-mode framework for database workload memory prediction. International Conference on Data Engineering (ICDE) , 2026.
  7. (JCR Q1, CORE A) Yuanyuan Yao, Yuhan Shi, Lu Chen, Ziquan Fang, Yunjun Gao, Leong Hou U, Yushuai Li, and Tianyi, Li. MOON: A modality conversion-based efffcient multivariate time series anomaly detection. IEEE Transactions on Knowledge and Data Engineering , 38(1): 457-474, 2026.
  8. (JCR Q1) Wenqi Bai, Shiliang Zhang, Xiaohui Zhang, Xuehui Ma, Songnan Yang, Yushuai Li, and Tingwen Huang. Exploring the generalizability of geomagnetic navigation: A deep reinforcement learning approach with policy distillation. IEEE Transactions on Instrumentation and Measurement , 74: 1–16, 2025.
  9. (CORE A*) Yushuai Li, Hengyu Liu, Torben Bach Pedersen, Yuqiang He, Kim Guldstrand Larsen, Lu Chen, Christian S. Jensen, Jiachen Xu, and Tianyi Li. RobustZero: Enhancing Muzero reinforcement learning robustness to state perturbations. International Conference on Machine Learning (ICML) , 2025.
  10. Yushuai Li, Tianyi Li, Jiachen Xu, Sabita Maharjan, Torben Bach Pedersen, Tingwen Huang, and Yan Zhang. Federated digital twin-empowered online control and optimization for cyber-physical systems. IEEE Transactions on Industrial Cyber-Physical Systems , 3: 485–496, 2025.
  11. (JCR Q1) Yushuai Li, Peiyuan Guan, Tianyi Li, Kim Guldstrand Larsen, Marco Aiello, Torben Bach Pedersen, Tingwen Huang, and Yan Zhang. Digital twin for secure peer-to-peer trading in cyber-physical energy systems. IEEE Transactions on Network Science and Engineering , 12(2): 669–683, 2025.
  12. (JCR Q1) Wei Gao, Rui Fan, Qiuhua Huang, Yushuai Li, and David Wenzhong Gao. A meta-strategy framework with deep reinforcement learning for damping interarea oscillation via high-voltage dc transmission. IEEE Transactions on Industrial Informatics , 2025.
  13. (CORE A*) Zhen Song, Yu Gu, Tianyi Li, Yushuai Li, Qing Sun, Yanfeng Zhang, Christian S Jensen, and Ge Yu. SWASH: A ffexible communication framework with sliding window-based cache sharing for scalable DGNN training. International Conference on Management of Data (SIGMOD) , 2025.
  14. (CORE A*) Zhongming Yao, Tianyi Li, Junchang Xin, Yushuai Li, Chenxu Wang, Zhiqiong Wang, Divesh Srivastava, and Christian S. Jensen. VGQ: Enabling veriffable graph queries on blockchain systems. International Conference on Data Engineering (ICDE) , 2025.
  15. (JCR Q1) Min Zhang, Frank Eliassen, Amir Taherkordi, Hans-Arno Jacobsen, Yushuai Li, and Yan Zhang. Self-determination theory and deep reinforcement learning for personalized energy trading in smart grid. IEEE Transactions on Systems, Man, and Cybernetics: Systems , 55(6):4216–4229, 2025.
  16. (CORE A*) Danlei Hu, Yilin Li, Lu Chen, Ziquan Fang, Yushuai Lii, Yunjun Gao, and Tianyi Li. SimRN: Trajectory similarity learning in road networks based on distributed deep reinforcement learning. International Conference on Very Large Databases (PVLDB) , 2025.
  17. (JCR Q1, ESI Highly Cited Paper) Yujia Huang, Qiuye Sun, Zhe Chen, David Wenzhong Gao, Torben Bach Pedersen, Kim Guldstrand Larsen, and Yushuai Li. Dynamic modeling and analysis for electricity-gas systems with electric-driven compressors. IEEE Transactions on Smart Grid , 16(3): 2144–2155, 2025.
  18. (CORE A*) Yumeng Song, Yu Gu, Tianyi Li, Yushuai Li, Christian S Jensen, and Ge Yu. Quantifying point contributions: A lightweight framework for efffcient and effective query-driven trajectory simpliffcation. International Conference on Very Large Databases (PVLDB) , 2025.
  19. (Best Theoretical Paper) Jiachen Xu, Yushuai Li*, Torben Bach Pedersen, Yuqiang He, Kim Guld-strand Larsen, and Tianyi Li. Digital twin-empowered voltage control for power systems. IEEE Conference on Energy Internet and Energy System Integration (EI2) , 2024.
  20. (CORE A*) Zhen Song, Yu Gu, Qing Sun, Tianyi Li, Yanfeng Zhang, Yushuai Li, Christian S Jensen, and Ge Yu. Dynahb: A communication-avoiding asynchronous distributed framework with hybrid batches for dynamic gnn training. International Conference on Very Large Databases (PVLDB) , 2024.
  21. (JCR Q1) Ning Zhang, Juan Yan, Cungang Hu, Qiuye Sun, Lingxiao Yang, David Wenzhong Gao, Josep M. Guerrero, and Yushuai Li. Price-matching-based regional energy market with hierarchical reinforcement learning algorithm. IEEE Transactions on Industrial Informatics , 20(9):11103–11114, 2024.
  22. (JCR Q1, ESI Highly Cited Paper) Fei Teng, Zixiao Ban, Tieshan Li, Qiuye Sun, and Yushuai Li * . A privacy-preserving distributed economic dispatch method for integrated port microgrid and computing power network. IEEE Transactions on Industrial Informatics , 20(8):10103–10112, 2024.
  23. (JCR Q1, Best Paper) Xiaoyu Zhang, Yushuai Li * , Tianyi Li, Yonghao Gui, Qiuye Sun, and David Wenzhong Gao. Digital twin empowered pv power prediction. Journal of Modern Power Systems and Clean Energy , 12(5):1472–1483, 2024.
  24. (Best Paper) Yushuai Li, Tianyi Li, Yonghao Gui, David Wenzhong Gao, and Yan Zhang. Controllable structure planning for energy internet. International Conference on Cyber-Energy Systems and Intelligent Energy (ICCSIE) , pages 1–6, 2023.
  25. (JCR Q1) Lingxiao Yang, Qiuye Sun, Ning Zhang, and Yushuai Li * . Indirect multi-energy transactions of energy internet with deep reinforcement learning approach. IEEE Transactions on Power Systems , 37(5):4067–4077, 2022.
  26. (JCR Q1, ESI Highly Cited Paper) Bonan Huang, Yushuai Li * , Fengnan Zhan, Qiuye Sun, and Huaguang Zhang. A distributed robust economic dispatch strategy for integrated energy system considering cyber-attacks. IEEE Transactions on Industrial Informatics, 18(2):880–890, 2022.
  27. (JCR Q1, ESI Highly Cited Paper) Ning Zhang, Qiuye Sun, Lingxiao Yang, and Yushuai Li. Event-triggered distributed hybrid control scheme for the integrated energy system. IEEE Transactions on Industrial Informatics , 18(2):835–846, 2022.
  28. (Best Paper, JCR Q1) Yushuai Li, Wei Gao, Shuo Huang, Rui Wang, Weihang Yan, Vahan Gevorgian, and David Wenzhong Gao. Data-driven optimal control strategy for virtual synchronous generator via deep reinforcement learning approach. Journal of Modern Power Systems and Clean Energy , 9(4):919–929, 2021.
  29. (JCR Q1) Yushuai Li, David Wenzhong Gao, Wei Gao, Huaguang Zhang, and Jianguo Zhou. Double-mode energy management for multi-energy system via distributed dynamic event-triggered Newton-Raphson algorithm. IEEE Transactions on Smart Grid , 11(6):5339–5356, 2020.
  30. (JCR Q1, ESI Highly Cited Paper) Yushuai Li, Huaguang Zhang, Xiaodong Liang, and Bonan Huang. Event-triggered-based distributed cooperative energy management for multienergy systems. IEEE Transactions on Industrial Informatics , 15(4):2008–2022, 2019.

Selected Patents

Project Experience

[Principal Investigator (PI)]  

[Project Participant]  

Services

[Associate Editor]  

[Session/Track/Workshop Chair]  

[Journal Reviewer (selection)]  

[PC Member (selection)]  

[Professional Memberships]  

[Management and Organizational Contributions]  

Teaching

[Pedagogical Training]  

[Lecturing]  

Talks

[Tutorials]  

[Invited Talks]  

Last Updated: Jun. 3rd, 2026