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 | 93 | 2021 |
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 | 63 | 2021 |
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 | 38 | 2022 |
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 | 26 | 2022 |
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 | 24 | 2023 |
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 | 16 | 2023 |
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 | 13 | 2023 |
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 | 7 | 2022 |
Multi-view spatial–temporal graph convolutional network for traffic prediction S Wei, S Feng, H Yang IEEE Transactions on Intelligent Transportation Systems, 2024 | 6 | 2024 |
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 | 6 | 2022 |
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 | 3 | 2024 |
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 | 3 | 2024 |
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 | 3 | 2024 |
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 | 3 | 2024 |
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 | 3 | 2023 |
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 | 2 | 2024 |
Cross-city traffic prediction via semantic-fused hierarchical graph transfer learning K Chen, J Han, S Feng, H Yang arXiv e-prints, arXiv: 2302.11774, 2023 | 2 | 2023 |
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 | 1 | 2024 |
Learning the on-demand adaptable matching range with a reinforcement learning Y Liu, S Feng, Y Bao, H Yang Transportation Research Part C: Emerging Technologies 172, 105018, 2025 | | 2025 |
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 |