Siyuan Feng
Orcid: 0000-0002-3194-1124Affiliations:
- Hong Kong Polytechnic University, Hong Kong, SAR, China
According to our database1,
Siyuan Feng authored at least 17 papers
between 2020 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
D<sup>3</sup>-Subsidy: Online and Sequential Driver Subsidy Decision-Making for Large-Scale Ride-Hailing Market.
CoRR, May, 2026
2025
T2BR: A Hierarchical Repositioning Approach for Autonomous Mobility on Demand Systems.
IEEE Trans. Intell. Transp. Syst., December, 2025
BMG-Q: Localized Bipartite Match Graph Attention Q-Learning for Ride-Pooling Order Dispatch.
IEEE Trans. Intell. Transp. Syst., October, 2025
Spatiotemporal Generalization Graph Neural Network-Based Prediction Models by Considering Morphological Diversity in Traffic Networks.
IEEE Trans. Intell. Transp. Syst., July, 2025
2024
Spatial-Temporal Upfront Pricing Under a Mixed Pooling and Non-Pooling Market With Reinforcement Learning.
IEEE Trans. Intell. Transp. Syst., November, 2024
IEEE Trans. Intell. Transp. Syst., August, 2024
Smart Navigation System for Parking Assignment at Large Events: Incorporating Heterogeneous Driver Characteristics.
CoRR, 2024
Deep Reinforcement Learning for Real-Time Ground Delay Program Revision and Corresponding Flight Delay Assignments.
CoRR, 2024
2023
IEEE Trans. Circuits Syst. Video Technol., November, 2023
Dynamic Adjustment of Matching Radii under the Broadcasting Mode: A Novel Multitask Learning Strategy and Temporal Modeling Approach.
CoRR, 2023
CoRR, 2023
Cross-City Traffic Prediction via Semantic-Fused Hierarchical Graph Transfer Learning.
CoRR, 2023
2022
A Multi-Task Matrix Factorized Graph Neural Network for Co-Prediction of Zone-Based and OD-Based Ride-Hailing Demand.
IEEE Trans. Intell. Transp. Syst., 2022
A Cross-City Federated Transfer Learning Framework: A Case Study on Urban Region Profiling.
CoRR, 2022
2020
Joint predictions of multi-modal ride-hailing demands: a deep multi-task multigraph learning-based approach.
CoRR, 2020