Dr Kai-Fung Chu

Journals

1. Yanjun Zhou, Fan Ye, Kai-Fung Chu, and Fumiya Iida, “Scalable Mobile Swarm Network for Reservoir Computing Using Gaussian Kernel Density Estimation,” Neural Networks, vol. 195, Mar. 2026. [#PRC] [#MAS]
2. Yue Xie, Kai-Fung Chu, Albert Y.S. Lam, and Fumiya Iida, “A Multi-Objective Evolutionary Algorithm with Constraint-Compliant Initialization for Energy Transport and Urban Logistics in Electric Vehicle Routing,” Applied Soft Computing, vol. 183, Nov. 2025. [#ITS]
3. Kai-Fung Chu, Fan Ye, Arsen Abdulali, and Fumiya Iida, “Enhancing Traffic Dynamics-Induced Machine Learning Through Heterogeneous Driving Policies,” npj Unconventional Computing, vol. 2, no. 18, Jul. 2025. [#PRC] [#ITS]
4. Kai-Fung Chu, Tianlun Chen, Yue Xie, Albert Y.S. Lam, Yue Song, and Fumiya Iida, “Collaborative Routing and Charging/Discharging Scheduling of Electric Autonomous Vehicles in Coupled Power-Traffic Networks: A Multi-Objective Approach,” IEEE Internet of Things Journal, vol. 12, no. 11, Jun. 2025. [#ITS] [#MAS]
5. Fan Ye, Arsen Abdulali, Kai-Fung Chu, Xiaoping Zhang, and Fumiya Iida, “Reservoir Controllers Design Through Robot-Reservoir Timescale Alignment,” Communications Engineering, vol. 4, no. 81, Apr. 2025. [#PRC] [#RL&C]
6. Kai-Fung Chu, Haiyue Yuan, Jinsheng Yuan, Weisi Guo, Nazmiye Ozkan, and Shujun Li, “A Survey of AI-Related Cyber Security Risks and Countermeasures in Mobility-as-a-Service”, IEEE Intelligent Transportation Systems Magazine, vol. 16, no. 6, pp. 37-55, Nov.-Dec. 2024. [#ITS]
7. Chenchen Fan, Kai-Fung Chu, Xiaomei Wang, Ka-Wai Kwok, and Fumiya Iida, “State Transition Learning with Limited Data for Safe Control of Switched Nonlinear Systems,” Neural Networks, vol. 180, Dec. 2024. [#RL&C]
8. Kai-Fung Chu and Weisi Guo, “Multi-agent Reinforcement Learning-based Passenger Spoofing Attack on Mobility-as-a-Service,” IEEE Transactions on Dependable and Secure Computing, vol. 21, no. 6, pp. 5565-5581, Nov.-Dec. 2024. [#ITS] [#MAS]
9. Yang Chen, Saba Al-Rubaye, Antonios Tsourdos, Kai-Fung Chu, Zhuangkun Wei, Lawrence Baker, and Colin Gillingham, “Federated Deep Reinforcement Learning based Intelligent Surface Configuration in 6G Secure Airport Networks,” IEEE Transactions on Intelligent Transportation Systems, Oct. 2024. [#ITS]
10. Mengbang Zou, Weisi Guo, and Kai-Fung Chu, “Rewiring Complex Networks to Achieve Cluster Synchronization using Graph Convolution Networks with Reinforcement Learning,” IEEE Transactions on Network Science and Engineering, vol. 11, no. 5, pp. 4293-4304, Sept.-Oct. 2024. [#MAS] [#RL&C]
11. Chenchen Fan, James Lam, Kai-Fung Chu, Xiujuan Lu, and Ka-Wai Kwok, “Output Reachable Set-based Leader-following Consensus of Positive Agents over Switching Networks,” IEEE Transactions on Cybernetics vol. 54, no. 7, pp. 3918-3930, Jul. 2024. [#MAS] [#RL&C]
12. Kai-Fung Chu and Weisi Guo, “Privacy-Preserving Federated Deep Reinforcement Learning for Mobility-as-a-Service,” IEEE Transactions on Intelligent Transportation Systems, vol. 25, no. 2, pp. 1882-1896, Feb. 2024. [#ITS] [#MAS]
13. Kai-Fung Chu and Weisi Guo, “Deep Reinforcement Learning of Passenger Behavior in Multimodal Journey Planning with Proportional Fairness,” Neural Computing and Applications, vol. 35, pp. 20221-20240, Sep. 2023. [#ITS] [#MAS]
14. Kai-Fung Chu, Albert Y.S. Lam, Ka Ho Tsoi, Zhiran Huang, and Becky P.Y. Loo, “Deep Encoder Cross Network for Estimated Time of Arrival,” IEEE Access, vol. 11, pp. 76095–76107, Jul. 2023. [#ITS]
15. Kai-Fung Chu, Albert Y.S. Lam, and Victor O.K. Li, “Traffic Signal Control Using End-to-End Off-policy Deep Reinforcement Learning,” IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 7, pp. 7184-7195, Jul. 2022. [#RL&C] [#ITS]
16. Kai-Fung Chu, Albert Y.S. Lam, and Victor O.K. Li, “Joint Rebalancing and Vehicle-to-Grid Coordination for Autonomous Vehicle Public Transportation System,” IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 7, pp. 7156-7169, Jul. 2022. [#ITS] [#MAS]
17. Kai-Fung Chu, Albert Y.S. Lam, Chenchen Fan, and Victor O.K. Li, “Disturbance-Aware Neuro-Optimal System Control Using Generative Adversarial Control Networks,” IEEE Transactions on Neural Networks and Learning Systems, vol. 32, no. 10, pp. 4565-4576, Oct. 2021. [#RL&C]
18. Kai-Fung Chu, Albert Y.S. Lam, and Victor O.K. Li, “Deep Multi-Scale Convolutional LSTM Network for Travel Demand and Origin-Destination Predictions,” IEEE Transactions on Intelligent Transportation Systems, vol. 21, no. 8, pp. 3219-3232, Aug. 2020. [#ITS]
19. Kai-Fung Chu, Albert Y.S. Lam, and Victor O.K. Li, “Dynamic Lane Reversal Routing and Scheduling for Connected Autonomous Vehicles: Formulation and Distributed Algorithm,” IEEE Transactions on Intelligent Transportation Systems, vol. 21, no. 6, pp. 2557-2570, Jun. 2020. [#ITS] [#MAS]

Conference Proceedings

1. Kai-Fung Chu, Fan Ye, Chenchen Fan, and Fumiya Iida, “Reservoir Computing-Based Control of Traffic Emergent Behaviour,” The IEEE International Conference on Intelligent Transportation Systems, Naples, Italy, Sep. 2026. [#PRC] [#ITS]
2. Kai-Fung Chu, “Towards Multi-Layer Intelligent Future Roads for Mixed Autonomy,” Future Roads Conference, Cambridge, UK, Jul. 2026. [#ITS]
3. Yi Zhang, Omar Faris, Chapa Sirithunge, Kai-Fung Chu, Fumiya Iida, and Fulvio Forni, “Distributed Virtual Model Control for Scalable Human-Robot Collaboration in Shared Workspace,” International Conference on Robotics and Automation, Vienna, Austria, Jun. 2026. [#RL&C] [#MAS]
4. Kai-Fung Chu, Fan Ye, Xiang Wang, Kohei Nakajima, and Fumiya Iida, “Elementary Characteristics and Energy Transport in Physical Reservoir Computing,” 5th International Conference on Embodied Intelligence, Dec. 2025. [#PRC]
5. Mingqi Yuan, Huijiang Wang, Kai-Fung Chu, Fumiya Iida, Bo Li, and Wenjun Zeng, “Hierarchical Procedural Framework for Low-latency Robot-Assisted Hand-Object Interaction,” IEEE International Conference on Systems, Man, and Cybernetics, Vienna, Austria, Oct. 2025. [#RL&C]
6. Fan Ye, Timothy Bonner, Arsen Abdulali, Kai-Fung Chu, and Fumiya Iida, “Reservoir Computing for Torque-Restricted Pendulum Control”, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Hangzhou, China, Oct. 2025. [#PRC] [#RL&C]
7. Kai-Fung Chu, Yue Xie, Albert Y.S. Lam, and Fumiya Iida, “Mixed-Autonomy Traffic and Wireless Charging Problem for Autonomous Electric Vehicles Using Reinforcement Learning”, Proceedings of the 9th EAI International Conference on Smart Grid and Innovative Frontiers in Telecommunications, Hong Kong, China, Dec. 2024. [#ITS]
8. Xiaoping Zhang, Xiangpeng Meng, Kai-Fung Chu, and Li Wang, “A Bottom-up Human Pose Estimation Correction Method Based on Object Detection,” Proceedings of the IEEE 13th Data Driven Control and Learning Systems Conference, Kaifeng, China, May 2024. [#ITS]
9. Kai-Fung Chu, Fan Ye, and Fumiya Iida, “Embodied Intelligence in Transportation Systems: Road Network Computing,” Proceedings of the 3rd International Conference on Embodied Intelligence, Cambridge, United Kingdom, 2024. [#ITS]
10. Kai-Fung Chu Chenchen Fan, and Fumiya Iida, “Navigating Mixed Traffic: Current State and Future Challenges in Integrating Autonomous and Human-Driven Vehicles,” Proceedings of the 2024 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO), Hong Kong, China, May 2024. [#ITS]
11. Kai-Fung Chu and Weisi Guo, “Passenger Spoofing Attack for Artificial Intelligence-based Mobility-as-a-Service,” Proceedings of the 2023 IEEE 26th International Conference on Intelligent Transportation Systems (IEEE ITSC 2023), Bilbao, Bizkaia, Spain, September 2023. [#ITS] [#MAS]
12. Kai-Fung Chu and Weisi Guo, “Federated Reinforcement Learning for Consumers Privacy Protection in Mobility-as-a-Service,” Proceedings of the 2023 IEEE 26th International Conference on Intelligent Transportation Systems (IEEE ITSC 2023), Bilbao, Bizkaia, Spain, September 2023. [#ITS] [#MAS]
13. Kai-Fung Chu, Tianlun Chen, Albert Y.S. Lam, and Yue Song, " Collaborative Routing and Charging/Discharging Scheduling of Electric Autonomous Vehicles in Coupled Power-Traffic Networks," Proceedings of the 2023 IEEE 97th Vehicular Technology Conference, Florence, Italy, June 2023. [#ITS] [#MAS]
14. Tianlun Chen, Kai-Fung Chu, Albert Y.S. Lam, David J. Hill, Victor O.K. Li, "Electric Autonomous Vehicle Charging and Parking Coordination for Vehicle-to-Grid Voltage Regulation with Renewable Energy," Proceedings of the 2020 IEEE PES General Meeting, Montreal, Quebec, Canada, August 2020. [#ITS] [#MAS]
15. Kai-Fung Chu, Albert Y.S. Lam, Becky P.Y. Loo, and Victor O.K. Li, “Public Transport Waiting Time Estimation Using Semi-Supervised Graph Convolutional Networks,” Proceedings of the 22nd IEEE International Conference on Intelligent Transportation Systems (IEEE ITSC 2019), Auckland, New Zealand, October 2019. [#ITS]
16. Kai-Fung Chu, Albert Y.S. Lam, and Victor O.K. Li, “Travel Demand Prediction using Deep Multi-Scale Convolutional LSTM Network,” Proceedings of the 21st IEEE International Conference on Intelligent Transportation Systems (IEEE ITSC 2018), Maui, HI, USA, November 2018. [#ITS]
17. Kai-Fung Chu, Albert Y.S. Lam, and Victor O.K. Li, “Dynamic Lane Reversal Routing and Scheduling for Connected Autonomous Vehicles,” Proceedings of the 3rd IEEE International Smart Cities Conference (IEEE ISC2 2017), Wuxi, China, September 2017. [#ITS] [#MAS]
18. Kai-Fung Chu, Elmer R Magsino, Ivan Wang-Hei Ho, and Chi-Kin Chau, "Index Coding of Point Cloud-based Road Map Data for Autonomous Driving," Proceedings of the 85th IEEE Vehicular Technology Conference (IEEE VTC 2017 Spring), Sydney, Australia, June 2017. [#ITS]

Selected Publications

1. Kai-Fung Chu, Fan Ye, Arsen Abdulali, and Fumiya Iida, “Enhancing Traffic Dynamics-Induced Machine Learning Through Heterogeneous Driving Policies,” npj Unconventional Computing, vol. 2, no. 18, Jul. 2025. [#PRC] [#ITS]
2. Kai-Fung Chu, Albert Y.S. Lam, and Victor O.K. Li, “Deep Multi-Scale Convolutional LSTM Network for Travel Demand and Origin-Destination Predictions,” IEEE Transactions on Intelligent Transportation Systems, vol. 21, no. 8, pp. 3219-3232, August 2020. [#ITS]
3. Kai-Fung Chu, Albert Y.S. Lam, Chenchen Fan, and Victor O.K. Li, “Disturbance-Aware Neuro-Optimal System Control Using Generative Adversarial Control Networks,” IEEE Transactions on Neural Networks and Learning Systems, vol. 32, no. 10, pp. 4565-4576, Oct. 2021. [#RL&C]
4. Kai-Fung Chu and Weisi Guo, “Privacy-Preserving Federated Deep Reinforcement Learning for Mobility-as-a-Service,” IEEE Transactions on Intelligent Transportation Systems, vol. 25, no. 2, pp. 1882-1896, Feb. 2024. [#ITS] [#MAS]
5. Kai-Fung Chu, Albert Y.S. Lam, and Victor O.K. Li, “Traffic Signal Control Using End-to-End Off-policy Deep Reinforcement Learning,” IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 7, pp. 7184-7195, Jul. 2022. [#ITS] [#RL&C]