| 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 | 80 | 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 | 45 | 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 | 26 | 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 | 19 | 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 | 12 | 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 | 6 | 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 | 3 | 2023 |
| 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 |
| 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 | 3 | 2022 |
| 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 | 2 | 2023 |
| 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 | 2 | 2022 |
| A multi-functional simulation platform for on-demand ride service operations S Feng, T Chen, Y Zhang, J Ke, Z Zheng, H Yang arXiv preprint arXiv:2303.12336, 2023 | 1 | 2023 |
| Spatial–Temporal Upfront Pricing Under a Mixed Pooling and Non-Pooling Market With Reinforcement Learning J Wang, S Feng, H Yang IEEE Transactions on Intelligent Transportation Systems, 2024 | | 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 | | 2024 |
| Multi-View Spatial–Temporal Graph Convolutional Network for Traffic Prediction S Wei, S Feng, H Yang IEEE Transactions on Intelligent Transportation Systems, 2024 | | 2024 |
| Dynamic Adjustment of Matching Radii under the Broadcasting Mode: A Novel Multitask Learning Strategy and Temporal Modeling Approach T Chen, Z Shen, S Feng, L Yang, J Ke arXiv preprint arXiv:2312.05576, 2023 | | 2023 |
Hai YangThe Hong Kong University of Science and Technology在 ust.hk 的电子邮件经过验证
