Kai-Fung Chu
Title
Cited by
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
202019
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
162017
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
142017
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
112018
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
82019
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, 2020
22020
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
22020
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
22019
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, 2021
2021
Traffic Signal Control Using End-to-End Off-Policy Deep Reinforcement Learning
KF Chu, AYS Lam, VOK Li
IEEE Transactions on Intelligent Transportation Systems, 2021
2021
Privacy-Preserving Self-Taught Federated Learning for Heterogeneous Data
KF Chu, L Zhang
arXiv preprint arXiv:2102.05883, 2021
2021
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Articles 1–11