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siyuan feng
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Joint predictions of multi-modal ride-hailing demands: A deep multi-task multi-graph learning-based approach
J Ke, S Feng, Z Zhu, H Yang, J Ye
Transportation Research Part C: Emerging Technologies 127, 103063, 2021
952021
A multi-task matrix factorized graph neural network for co-prediction of zone-based and OD-based ride-hailing demand
S Feng, J Ke, H Yang, J Ye
IEEE Transactions on Intelligent Transportation Systems 23 (6), 5704-5716, 2021
612021
Coordinating ride-sourcing and public transport services with a reinforcement learning approach
S Feng, P Duan, J Ke, H Yang
Transportation Research Part C: Emerging Technologies 138, 103611, 2022
382022
Calibration and validation of matching functions for ride-sourcing markets
S Wei, S Feng, J Ke, H Yang
Communications in Transportation Research 2, 100058, 2022
262022
Prediction of knee pain improvement over two years for knee osteoarthritis using a dynamic nomogram based on MRI-derived radiomics: a proof-of-concept study
T Lin, S Peng, S Lu, S Fu, D Zeng, J Li, T Chen, T Fan, C Lang, S Feng, ...
Osteoarthritis and Cartilage 31 (2), 267-278, 2023
202023
A macro–micro spatio-temporal neural network for traffic prediction
S Feng, S Wei, J Zhang, Y Li, J Ke, G Chen, Y Zheng, H Yang
Transportation research part C: emerging technologies 156, 104331, 2023
152023
Spectral dual-channel encoding for image dehazing
Z Zhu, D Zhang, Z Wang, S Feng, P Duan
IEEE Transactions on Circuits and Systems for Video Technology 33 (11), 6236 …, 2023
112023
Multi-View Spatial–Temporal Graph Convolutional Network for Traffic Prediction
S Wei, S Feng, H Yang
IEEE Transactions on Intelligent Transportation Systems, 2024
62024
Approximating a ride-sourcing system with block matching
S Feng, J Ke, F Xiao, H Yang
Transportation Research Part C: Emerging Technologies 145, 103920, 2022
62022
A Cross-City Federated Transfer Learning Framework: A Case Study on Urban Region Profiling
G Chen, Y Su, X Zhang, A Hu, G Chen, S Feng, J Xiang, J Zhang, ...
arXiv preprint arXiv:2206.00007, 2022
62022
A multi-functional simulation platform for on-demand ride service operations
S Feng, T Chen, Y Zhang, J Ke, Z Zheng, H Yang
Communications in Transportation Research 4, 100141, 2024
32024
Airport delay prediction with temporal fusion transformers
K Liu, K Ding, X Cheng, G Xu, X Hu, T Liu, S Feng, B Cai, J Chen, H Lin, ...
Proceedings of the 17th ACM SIGSPATIAL International Workshop on …, 2024
32024
Deep Reinforcement Learning for Real-Time Ground Delay Program Revision and Corresponding Flight Delay Assignments
K Liu, F Hu, H Lin, X Cheng, J Chen, J Song, S Feng, G Su, C Zhu
arXiv preprint arXiv:2405.08298, 2024
32024
Region-aware hierarchical graph contrastive learning for ride-hailing driver profiling
K Chen, J Han, S Feng, M Zhu, H Yang
Transportation Research Part C: Emerging Technologies 156, 104325, 2023
32023
Flight Path Optimization with Optimal Control Method
G Su, X Cheng, S Feng, K Liu, J Song, J Chen, C Zhu, H Lin
arXiv preprint arXiv:2405.08306, 2024
22024
Semantic-fused multi-granularity cross-city traffic prediction
K Chen, Y Liang, J Han, S Feng, M Zhu, H Yang
Transportation Research Part C: Emerging Technologies 162, 104604, 2024
22024
Cross-City Traffic Prediction via Semantic-Fused Hierarchical Graph Transfer Learning
K Chen, J Han, S Feng, H Yang
arXiv preprint arXiv:2302.11774, 2023
22023
Smart Navigation System for Parking Assignment at Large Events: Incorporating Heterogeneous Driver Characteristics
X Cheng, G Su, S Feng, K Liu, C Zhu, H Lin, J Song, J Chen
arXiv preprint arXiv:2406.05135, 2024
12024
BMG-Q: Localized Bipartite Match Graph Attention Q-Learning for Ride-Pooling Order Dispatch
Y Hu, S Feng, S Li
arXiv preprint arXiv:2501.13448, 2025
2025
Dynamic matching radius decision model for on-demand ride services: A deep multi-task learning approach
T Chen, Z Shen, S Feng, L Yang, J Ke
Transportation Research Part E: Logistics and Transportation Review 193, 103822, 2025
2025
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