Kai-Fung Chu
Orcid: 0000-0003-4138-0268
According to our database1,
Kai-Fung Chu
authored at least 23 papers
between 2017 and 2024.
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Bibliography
2024
Output Reachable Set-Based Leader-Following Consensus of Positive Agents Over Switching Networks.
IEEE Trans. Cybern., July, 2024
IEEE Trans. Intell. Transp. Syst., February, 2024
Rewiring Complex Networks to Achieve Cluster Synchronization Using Graph Convolution Networks With Reinforcement Learning.
IEEE Trans. Netw. Sci. Eng., 2024
Multi-Agent Reinforcement Learning-Based Passenger Spoofing Attack on Mobility-as-a-Service.
IEEE Trans. Dependable Secur. Comput., 2024
State transition learning with limited data for safe control of switched nonlinear systems.
Neural Networks, 2024
A Survey of Artificial Intelligence-Related Cybersecurity Risks and Countermeasures in Mobility-as-a-Service.
IEEE Intell. Transp. Syst. Mag., 2024
A Survey of AI-Related Cyber Security Risks and Countermeasures in Mobility-as-a-Service.
CoRR, 2024
CoRR, 2024
Navigating Mixed Traffic: Current State and Future Challenges in Integrating Autonomous and Human-Driven Vehicles.
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.
Neural Comput. Appl., September, 2023
Collaborative Routing and Charging/Discharging Scheduling of Electric Autonomous Vehicles in Coupled Power-Traffic Networks.
Proceedings of the 97th IEEE Vehicular Technology Conference, 2023
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Federated Reinforcement Learning for Consumers Privacy Protection in Mobility-as-a-Service.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
2022
IEEE Trans. Intell. Transp. Syst., 2022
Joint Rebalancing and Vehicle-to-Grid Coordination for Autonomous Vehicle Public Transportation System.
IEEE Trans. Intell. Transp. Syst., 2022
2021
Disturbance-Aware Neuro-Optimal System Control Using Generative Adversarial Control Networks.
IEEE Trans. Neural Networks Learn. Syst., 2021
2020
Deep Multi-Scale Convolutional LSTM Network for Travel Demand and Origin-Destination Predictions.
IEEE Trans. Intell. Transp. Syst., 2020
Dynamic Lane Reversal Routing and Scheduling for Connected and Autonomous Vehicles: Formulation and Distributed Algorithm.
IEEE Trans. Intell. Transp. Syst., 2020
2019
Public Transport Waiting Time Estimation Using Semi-Supervised Graph Convolutional Networks.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
2018
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018
2017
Proceedings of the 85th IEEE Vehicular Technology Conference, 2017