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Kai-Fung Chu
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Cited by
Year
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
1172019
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
342017
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
322018
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
312019
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
272021
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
262017
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
252021
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
132020
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
122019
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
72020
Privacy-preserving self-taught federated learning for heterogeneous data
KF Chu, L Zhang
arXiv preprint arXiv:2102.05883, 2021
62021
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
52023
Passenger Spoofing Attack for Artificial Intelligence-based Mobility-as-a-Service
KF Chu, W Guo
IEEE 26th International Conference on Intelligent Transportation Systems, 2023
22023
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
22023
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
22018
Privacy-Preserving Federated Deep Reinforcement Learning for Mobility-as-a-Service
KF Chu, W Guo
IEEE Transactions on Intelligent Transportation Systems, 2023
12023
Deep Encoder Cross Network for Estimated Time of Arrival
KF Chu, AYS Lam, KH Tsoi, Z Huang, BPY Loo
IEEE Access, 2023
12023
Artificial intelligence empowered autonomous vehicles on-demand system for smart cities
K Chu
HKU Theses Online (HKUTO), 2020
12020
A Bottom-up Human Pose Estimation Correction Method Based on Object Detection
X Zhang, X Meng, KF Chu, L Wang
IEEE 13th Data Driven Control and Learning Systems Conference, 2024
2024
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
2024
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