Kai-Fung Chu

IEEE Trans. Intell. Transp. Syst., February, 2024

2023

Deep reinforcement learning of passenger behavior in multimodal journey planning with proportional fairness.

[BibT_eX]

[DOI]

Neural Comput. Appl., September, 2023

Deep Encoder Cross Network for Estimated Time of Arrival.

[BibT_eX]

[DOI]

IEEE Access, 2023

Collaborative Routing and Charging/Discharging Scheduling of Electric Autonomous Vehicles in Coupled Power-Traffic Networks.

[BibT_eX]

[DOI]

Proceedings of the 97th IEEE Vehicular Technology Conference, 2023

Passenger Spoofing Attack for Artificial Intelligence-based Mobility-as-a-Service.

[BibT_eX]

[DOI]

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Federated Reinforcement Learning for Consumers Privacy Protection in Mobility-as-a-Service.

[BibT_eX]

[DOI]

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022

Traffic Signal Control Using End-to-End Off-Policy Deep Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

Joint Rebalancing and Vehicle-to-Grid Coordination for Autonomous Vehicle Public Transportation System.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

2021

Disturbance-Aware Neuro-Optimal System Control Using Generative Adversarial Control Networks.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

Privacy-Preserving Self-Taught Federated Learning for Heterogeneous Data.

[BibT_eX]

[DOI]

Lintao Zhang

CoRR, 2021

2020

Deep Multi-Scale Convolutional LSTM Network for Travel Demand and Origin-Destination Predictions.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2020

Dynamic Lane Reversal Routing and Scheduling for Connected and Autonomous Vehicles: Formulation and Distributed Algorithm.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2020

2019

Public Transport Waiting Time Estimation Using Semi-Supervised Graph Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018

Travel Demand Prediction using Deep Multi-Scale Convolutional LSTM Network.

[BibT_eX]

[DOI]