Projects per year
Personal profile
Research interests
Civil Engineering - Intelligent transportation systems
Electronic & Computer Engineering - Smart grids
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Related documents
Education/Academic qualification
PhD in Electrical and Computer Engineering, PhD, Ohio State University
2017
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Collaborations and top research areas from the last five years
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Development of a Dynamic Itinerary Planning and Traffic Prediction System for Tourist Coaches
LO, H. K. (CoPI), LI, S. (PI) & SHANG, Y. (CoI)
Smart Traffic Fund, LimX Dynamics, Hong Kong Tourism Association Limited, Hong Kong Society for Transportation Studies
15/06/24 → 14/06/26
Project: Research
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Transport decarbonization and congestion management with a credit charge-cum-reward scheme
1/01/24 → 31/12/26
Project: Research
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Regulating For-Hire Autonomous Vehicles towards an Equitable Mobility Future
LI, S. (PI)
1/01/23 → 30/06/26
Project: Research
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Smart Pipes for Sustainable Buildings
LI, S. (PI), FERRAS, D. (Team member) & LOUATI, M. (CoI)
Innovation and Technology Commission, One Measurement Group Limited
15/06/24 → 14/12/25
Project: Research
Research output
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Discriminatory order assignment and payment-setting of on-demand food-delivery platforms: A multi-action and multi-agent reinforcement learning framework
Zhao, Z. & Li, S., Apr 2026, In: Transportation Research Part E: Logistics and Transportation Review. 208, 31 p., 104653.Research output: Contribution to journal › Journal Article › peer-review
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BMG-Q: Localized Bipartite Match Graph Attention Q-Learning for Ride-Pooling Order Dispatch
Hu, Y., Feng, S. & Li, S., 14 Aug 2025, (E-pub ahead of print) In: IEEE Transactions on Intelligent Transportation Systems.Research output: Contribution to journal › Journal Article › peer-review
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Coordinating ride-pooling with public transit using Reward-Guided Conservative Q-Learning: An offline training and online fine-tuning reinforcement learning framework
Hu, Y., Dong, T. & Li, S., May 2025, In: Transportation Research Part C: Emerging Technologies. 174, 105051.Research output: Contribution to journal › Journal Article › peer-review
2 Citations (Scopus) -
Enhancing cyber-resilience in integrated energy system scheduling with demand response using deep reinforcement learning
Li, Y., Ma, W., Li, Y., Li, S., Chen, Z. & Shahidehpour, M., 1 Feb 2025, In: Applied Energy. 379, 124831.Research output: Contribution to journal › Journal Article › peer-review
51 Citations (Scopus) -
Explainable spatiotemporal multi-task learning for electric vehicle charging demand prediction
Shang, Y., Li, D., Li, Y. & Li, S., 15 Apr 2025, In: Applied Energy. 384, 125460.Research output: Contribution to journal › Journal Article › peer-review
45 Citations (Scopus)
Activities
- 1 Editorial work
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Transportmetrica A: Transport Science (Journal)
LI, S. (Other Editorial Role)
1 Jan 2024Activity: Publication peer-review and editorial work › Editorial work