Index Coding of Point Cloud-Based Road Map Data for Autonomous Driving. - Kai-Fung Chu; Elmer R. Magsino; Ivan Wang Hei Ho; Chi-Kin Chau (VTC Spring, 2017)

Travel Demand Prediction using Deep Multi-Scale Convolutional LSTM Network. - Kai-Fung Chu; Albert Y. S. Lam; Victor O. K. Li (ITSC, 2018)

Public Transport Waiting Time Estimation Using Semi-Supervised Graph Convolutional Networks. - Kai-Fung Chu; Albert Y. S. Lam; Becky P. Y. Loo; Victor O. K. Li (ITSC, 2019)

Dynamic Lane Reversal Routing and Scheduling for Connected and Autonomous Vehicles: Formulation and Distributed Algorithm. - Kai-Fung Chu; Albert Y. S. Lam; Victor O. K. Li (IEEE Trans. Intell. Transp. Syst., 2020)

Deep Multi-Scale Convolutional LSTM Network for Travel Demand and Origin-Destination Predictions. - Kai-Fung Chu; Albert Y. S. Lam; Victor O. K. Li (IEEE Trans. Intell. Transp. Syst., 2020)

Privacy-Preserving Self-Taught Federated Learning for Heterogeneous Data. - Kai-Fung Chu; Lintao Zhang (CoRR, 2021)

Disturbance-Aware Neuro-Optimal System Control Using Generative Adversarial Control Networks. - Kai-Fung Chu; Albert Y. S. Lam; Chenchen Fan; Victor O. K. Li (IEEE Trans. Neural Networks Learn. Syst., 2021)

Joint Rebalancing and Vehicle-to-Grid Coordination for Autonomous Vehicle Public Transportation System. - Kai-Fung Chu; Albert Y. S. Lam; Victor O. K. Li (IEEE Trans. Intell. Transp. Syst., 2022)

Traffic Signal Control Using End-to-End Off-Policy Deep Reinforcement Learning. - Kai-Fung Chu; Albert Y. S. Lam; Victor O. K. Li (IEEE Trans. Intell. Transp. Syst., 2022)

Federated Reinforcement Learning for Consumers Privacy Protection in Mobility-as-a-Service. - Kai-Fung Chu; Weisi Guo (ITSC, 2023)

Passenger Spoofing Attack for Artificial Intelligence-based Mobility-as-a-Service. - Kai-Fung Chu; Weisi Guo (ITSC, 2023)

Collaborative Routing and Charging/Discharging Scheduling of Electric Autonomous Vehicles in Coupled Power-Traffic Networks. - Kai-Fung Chu; Tianlun Chen; Albert Y. S. Lam; Yue Song (VTC2023-Spring, 2023)

Deep Encoder Cross Network for Estimated Time of Arrival. - Kai-Fung Chu; Albert Y. S. Lam; Ka Ho Tsoi; Zhiran Huang; Becky P. Y. Loo (IEEE Access, 2023)

Deep reinforcement learning of passenger behavior in multimodal journey planning with proportional fairness. - Kai-Fung Chu; Weisi Guo (Neural Comput. Appl., 2023)

Navigating Mixed Traffic: Current State and Future Challenges in Integrating Autonomous and Human-Driven Vehicles. - Kai-Fung Chu; Chenchen Fan; Fumiya Iida (ARSO, 2024)

Real-Time Dynamic Robot-Assisted Hand-Object Interaction via Motion Primitives. - Mingqi Yuan; Huijiang Wang; Kai-Fung Chu; Fumiya Iida; Bo Li 037; Wenjun Zeng 001 (CoRR, 2024)

A Survey of AI-Related Cyber Security Risks and Countermeasures in Mobility-as-a-Service. - Kai-Fung Chu; Haiyue Yuan; Jinsheng Yuan; Weisi Guo; Nazmiye Balta-Ozkan; Shujun Li (CoRR, 2024)

A Survey of Artificial Intelligence-Related Cybersecurity Risks and Countermeasures in Mobility-as-a-Service. - Kai-Fung Chu; Haiyue Yuan; Jinsheng Yuan; Weisi Guo; Nazmiye Balta-Ozkan; Shujun Li (IEEE Intell. Transp. Syst. Mag., 2024)

State transition learning with limited data for safe control of switched nonlinear systems. - Chenchen Fan; Kai-Fung Chu; Xiaomei Wang; Ka-Wai Kwok; Fumiya Iida (Neural Networks, 2024)

Multi-Agent Reinforcement Learning-Based Passenger Spoofing Attack on Mobility-as-a-Service. - Kai-Fung Chu; Weisi Guo (IEEE Trans. Dependable Secur. Comput., 2024)

Rewiring Complex Networks to Achieve Cluster Synchronization Using Graph Convolution Networks With Reinforcement Learning. - Mengbang Zou; Weisi Guo; Kai-Fung Chu (IEEE Trans. Netw. Sci. Eng., 2024)

Privacy-Preserving Federated Deep Reinforcement Learning for Mobility-as-a-Service. - Kai-Fung Chu; Weisi Guo (IEEE Trans. Intell. Transp. Syst., 2024)

Output Reachable Set-Based Leader-Following Consensus of Positive Agents Over Switching Networks. - Chenchen Fan; James Lam; Kai-Fung Chu; Xiujuan Lu; Ka-Wai Kwok (IEEE Trans. Cybern., 2024)

A multi-objective evolutionary algorithm with constraint-compliant initialization for energy transport and urban logistics in Electric Vehicle Routing. - Yue Xie; Kai-Fung Chu; Albert Y. S. Lam; Fumiya Iida (Appl. Soft Comput., 2025)

The Morphology-Control Trade-Off: Insights into Soft Robotic Efficiency. - Yue Xie; Kai-Fung Chu; Xing Wang 016; Fumiya Iida (CoRR, 2025)

Collaborative Routing and Charging/Discharging Scheduling of Electric Autonomous Vehicles in Coupled Power-Traffic Networks: A Multiobjective Approach. - Kai-Fung Chu; Tianlun Chen; Yue Xie; Albert Y. S. Lam; Yue Song; Fumiya Iida (IEEE Internet Things J., 2025)