Kai-Fung Chu

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

Rewiring Complex Networks to Achieve Cluster Synchronization Using Graph Convolution Networks With Reinforcement Learning.

[BibT_eX]

[DOI]

Mengbang Zou

IEEE Trans. Netw. Sci. Eng., 2024

Multi-Agent Reinforcement Learning-Based Passenger Spoofing Attack on Mobility-as-a-Service.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2024

State transition learning with limited data for safe control of switched nonlinear systems.

[BibT_eX]

[DOI]

Neural Networks, 2024

A Survey of Artificial Intelligence-Related Cybersecurity Risks and Countermeasures in Mobility-as-a-Service.

[BibT_eX]

[DOI]

IEEE Intell. Transp. Syst. Mag., 2024

A Survey of AI-Related Cyber Security Risks and Countermeasures in Mobility-as-a-Service.

[BibT_eX]

[DOI]

CoRR, 2024

Real-Time Dynamic Robot-Assisted Hand-Object Interaction via Motion Primitives.

[BibT_eX]

[DOI]

CoRR, 2024

Navigating Mixed Traffic: Current State and Future Challenges in Integrating Autonomous and Human-Driven Vehicles.

[BibT_eX]

[DOI]

Chenchen Fan

Fumiya Iida

Proceedings of the IEEE International Conference on Advanced Robotics and Its Social Impacts, 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 26th 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 26th 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]