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

I am an assistiant professor in Department of Computer Science at Aalborg University. I have published more than 100 papers in prestigious journals and conferences, including 17 first-author papers, 18 last-author papers, 7 ESI “Highly Cited Papers”, and two ESI “Hot Papers”. I have an h-index of 28 and 3800+ citations according to Google scholar. I 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. I 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). I served as the PHD Thesis Competition Chair for IEEE SmartGridComm 2024 and 2025. I current serve as an associate editor 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.

Research Interests

My research focuses on smart, safe, and sustainable machine learning for decision-making in cyber-physical systems (CPSs). 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]  

[Student]  

Talks

[Tutorials]  

[Invited Talks]  

Last Updated: Jun. 3rd, 2026