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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
1152019
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
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
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
312018
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
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
242021
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
242021
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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