| Deep multi-scale convolutional LSTM network for travel demand and origin-destination predictions KF Chu, AYS Lam, VOK Li IEEE Transactions on Intelligent Transportation Systems 21 (8), 3219-3232, 2019 | 148 | 2019 |
| Traffic signal control using end-to-end off-policy deep reinforcement learning KF Chu, AYS Lam, VOK Li IEEE Transactions on Intelligent Transportation Systems 23 (7), 7184-7195, 2021 | 46 | 2021 |
| Dynamic lane reversal routing and scheduling for connected and autonomous vehicles: Formulation and distributed algorithm KF Chu, AYS Lam, VOK Li IEEE Transactions on Intelligent Transportation Systems 21 (6), 2557-2570, 2019 | 41 | 2019 |
| Joint rebalancing and vehicle-to-grid coordination for autonomous vehicle public transportation system KF Chu, AYS Lam, VOK Li IEEE Transactions on Intelligent Transportation Systems 23 (7), 7156-7169, 2021 | 38 | 2021 |
| Dynamic lane reversal routing and scheduling for connected autonomous vehicles KF Chu, AYS Lam, VOK Li 2017 International Smart Cities Conference (ISC2), 1-6, 2017 | 36 | 2017 |
| Travel demand prediction using deep multi-scale convolutional LSTM network KF Chu, AYS Lam, VOK Li 2018 21st International Conference on Intelligent Transportation Systems …, 2018 | 34 | 2018 |
| Index coding of point cloud-based road map data for autonomous driving KF Chu, ER Magsino, IWH Ho, CK Chau 2017 IEEE 85th Vehicular Technology Conference (VTC Spring), 1-7, 2017 | 28 | 2017 |
| Disturbance-aware neuro-optimal system control using generative adversarial control networks KF Chu, AYS Lam, C Fan, VOK Li IEEE Transactions on Neural Networks and Learning Systems 32 (10), 4565-4576, 2020 | 15 | 2020 |
| Public transport waiting time estimation using semi-supervised graph convolutional networks KF Chu, AYS Lam, BPY Loo, VOK Li 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2259-2264, 2019 | 13 | 2019 |
| Privacy-preserving self-taught federated learning for heterogeneous data KF Chu, L Zhang arXiv preprint arXiv:2102.05883, 2021 | 11 | 2021 |
| Deep reinforcement learning of passenger behavior in multimodal journey planning with proportional fairness KF Chu, W Guo Neural Computing and Applications 35 (27), 20221-20240, 2023 | 9 | 2023 |
| Privacy-preserving federated deep reinforcement learning for mobility-as-a-service KF Chu, W Guo IEEE Transactions on Intelligent Transportation Systems, 2023 | 7 | 2023 |
| Electric autonomous vehicle charging and parking coordination for vehicle-to-grid voltage regulation with renewable energy T Chen, KF Chu, AYS Lam, DJ Hill, VOK Li 2020 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2020 | 7 | 2020 |
| Passenger Spoofing Attack for Artificial Intelligence-based Mobility-as-a-Service KF Chu, W Guo IEEE 26th International Conference on Intelligent Transportation Systems, 2023 | 5 | 2023 |
| Multi-agent Reinforcement Learning-based Passenger Spoofing Attack on Mobility-as-a-Service KF Chu, W Guo IEEE Transactions on Dependable and Secure Computing, 2024 | 4 | 2024 |
| Federated Reinforcement Learning for Consumers Privacy Protection in Mobility-as-a-Service KF Chu, W Guo 2023 IEEE 26th International Conference on Intelligent Transportation Systems, 2023 | 4 | 2023 |
| Deep Encoder Cross Network for Estimated Time of Arrival KF Chu, AYS Lam, KH Tsoi, Z Huang, BPY Loo IEEE Access, 2023 | 4 | 2023 |
| Collaborative Routing and Charging/Discharging Scheduling of Electric Autonomous Vehicles in Coupled Power-Traffic Networks KF Chu, T Chen, AYS Lam, Y Song 2023 IEEE 97th Vehicular Technology Conference, 2023 | 3 | 2023 |
| Output Reachable Set-based Leader-following Consensus of Positive Agents over Switching Networks C Fan, J Lam, KF Chu, X Lu, KW Kwok IEEE Transactions on Cybernetics, 2023 | 3 | 2023 |
| Travel Demand Prediction Using Deep Multi-Scale Convolutional LSTM Network, in: 2018 21st International Conference on Intelligent Transportation Systems (ITSC) KF Chu, AY Lam, VO Li IEEE Xplore Hawaii, USA, 2018 | 2 | 2018 |
Albert YS LamThe University of Hong KongVerified email at eee.hku.hk