Gangyan Xu's Homepage

Selected Publications

Preprint works

Wan, P., Chen, J., & Xu, G.*. (2026). Deep Reinforcement Learning for Solving the Fleet Size and Mix Vehicle Routing Problem. link
Wan, P., Chen, J., Xu, G.*, & Zhu, Z. (2026). Cooperate to Generalize: Deep Reinforcement Learning for Real-time Ad Hoc Team Routing. link
Zou, Y., Dong, W., & Xu, G.*. (2026). Learning-based Adaptive Airport Gate Assignment under Varying Conditions. link
Long, Y., Zhu, Z., Zhang, X., & Xu, G.*. (2026). Proactive Relief Vehicle Scheduling with Temporary Facility Location and Volunteer Vehicle Coordination. link
Liu, Y., Xie, B., Xu, S. X., & Xu, G.*. (2026). LLM-powered Deep Reinforcement Learning for Heterogeneous Autonomous Vehicles Management in Last-mile Transportation. link
Peng, Y., Xie, Z., Li, G., & Xu, G.*. (2026). Do Passengers Matter? Public Perceptions of Passenger‑Carrying versus Uncrewed Low‑Altitude Aircraft in China. link

2026

Qu, C., Xu, G.*, & Wan, P. (2026). Scalable Bi-level Reinforcement Learning for Multi-robot Coverage Path Planning in Unseen Environments with Obstacles. IEEE Internet of Things Journal.
Zhang, X., Long, Y., & Xu, G.* (2026). Data-driven Electric Vehicle Fleet Sizing for Airport Baggage Transport via a Two-Stage Shareability Network. European Journal of Operational Research, 1–12.

2025

Dong, W., Xu, G.*, Zhang, X., & Qiu, X. (2025). Smoothed dynamic scheduling of aircraft engines with off-site warehouse. Advanced Engineering Informatics, 66, 103451.
Liu, Y., Xie, B., Long, Y., Chen, J., & Xu, G.* (2025). Learning-based heterogeneous autonomous vehicles scheduling for on-demand last-mile transportation. IEEE Transactions on Automation Science and Engineering.
Wang, D., Xu, G.*, Qu, C., & Wu, Z. (2025). Game-theoretic reinforcement learning-based behavior-aware merging in mixed traffic. IEEE Transactions on Intelligent Transportation Systems, 27(1), 483–500.
Zhang, X., Wang, X., Dong, W., & Xu, G.* (2025). Adaptive large neighborhood search for autonomous electric vehicle scheduling in airport baggage transport service. Computers & Operations Research, 182, 107086.
Wang, D., Xu, G.*, & Wu, Z. (2025). RideMyWay: LLM-Guided Safe Reinforcement Learning for Personalized Autonomous Driving in Interactive Traffic. In 2026 IEEE International Conference on Intelligent Transportation Systems (ITSC 2026), Naples, Italy.
Jiang, J., Huang, J., Xiong, H., & Xu, G.* (2025). Zonotope-Guided Trajectory Planning for Aerial-Ground Collaborative Cable-driven Parallel Robot. In 13th International Conference on Robot Intelligence Technology and Applications (RITA 2025), London, United Kingdom.

2024

Chen, F., Wei, Y., Ji, H., & Xu, G.* (2024). A multiplex network based analytical framework for safety management standardization in construction engineering. Advanced Engineering Informatics, 59, 102278.
Chen, J., Wan, P., & Xu, G.* (2024). Cooperative learning-based joint UAV and human courier scheduling for emergency medical delivery service. IEEE Transactions on Intelligent Transportation Systems, 26(1), 935–949.
Chen, J., Zhang, H., Ma, W., & Xu, G.* (2024). Real-time scheduling for two-stage assembly flowshop with dynamic job arrivals by deep reinforcement learning. Advanced Engineering Informatics, 62, 102632.
Wan, P., Wang, S., Xu, G.*, Long, Y., & Hu, R. (2024). Hybrid heuristic-based multi-UAV route planning for time-dependent data collection. IEEE Internet of Things Journal, 11(13), 24134–24147.
Wan, P., Xu, G.*, Chen, J., & Zhou, Y. (2024). Deep reinforcement learning enabled multi-UAV scheduling for disaster data collection with time-varying value. IEEE Transactions on Intelligent Transportation Systems, 25(7), 6691–6702.
Wang, X., Xu, G.*, Zhou, Z., & Zou, Y. (2024). Sequential feature-augmented deep multilabel learning for compound fault diagnosis of rotating machinery with few labeled and imbalanced data. IEEE Transactions on Industrial Informatics, 20(12), 13947–13955.
Wang, D., Xu, G.*, & Wu, Z. (2024). To cooperate or not: Multi-agent reinforcement learning-based on-ramp merging strategies for autonomous vehicles. In 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE) (pp. 2415–2420). IEEE.

2023

Chen, J., Xu, G.*, & Zhou, Z. (2023). Data-driven learning-based model predictive control for energy-intensive systems. Advanced Engineering Informatics, 58, 102208.
Li, M., Huang, L., Xu, G.*, & Kong, B. (2023). A parallel particle swarm optimization framework based on a fork-join thread pool using a work-stealing mechanism. Applied Soft Computing, 145, 110537.
Long, Y., Xu, G.*, Zhao, J., Xie, B., & Fang, M. (2023). Dynamic truck–UAV collaboration and integrated route planning for resilient urban emergency response. IEEE Transactions on Engineering Management, 71, 9826–9838.
Xu, Y., Fang, M., Chen, L., Du, Y., Xu, G.*, & Zhang, C. (2023). Shared dynamics learning for large-scale traveling salesman problem. Advanced Engineering Informatics, 56, 102005.
Chen, J., Wan, P., Xu, G.*, & Shao, S. (2023). Collaborative medical delivery service with UAVs and human couriers. In 2023 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) (pp. 1340–1345). IEEE.
Dong, W., Qiu, X., & Xu, G.* (2023). Scheduled transport service design for cross-border logistics in airport cluster. In Leveraging Transdisciplinary Engineering in a Changing and Connected World (pp. 363–372). IOS Press.
Long, Y., Zhang, H., Wang, X., & Xu, G.* (2023). UAV-assisted emergency response: An interdisciplinary perspective. In Leveraging Transdisciplinary Engineering in a Changing and Connected World (pp. 771–780). IOS Press.

2022

Qiu, X., & Xu, G.* (2022). Consolidated transport service pricing in Supply Hub in Industrial Park (SHIP) with heterogeneous manufacturers. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 53(3), 1370–1383.
Xu, G., Long, Y., Wang, X., & Xie, B.* (2022). Truck-Drone Collaboration Strategies and Scheduling Optimization for Urban Emergency Responses. Journal of Safety and Environment (in Chinese).
Wang, S., Long, Y., Zhou, Y., & Xu, G.* (2022). Multi-UAV route planning for data collection from heterogeneous IoT devices. In 2022 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) (pp. 1556–1560). IEEE.

2021

Qiu, X., Xu, S. X., & Xu, G.* (2021). Pricing and scheduling of barge hinterland transportation service for inbound containers. Transportation Research Part E: Logistics and Transportation Review, 156, 102515.
Shu, P., Sun, Y., Xie, B., Xu, S. X., & Xu, G.* (2021). Data-driven shuttle service design for sustainable last mile transportation. Advanced Engineering Informatics, 49, 101344.
Xu, G., Zhang, R., Xu, S. X., Kou, X., & Qiu, X.* (2021). Personalized multimodal travel service design for sustainable intercity transport. Journal of Cleaner Production, 308, 127367.
Xu, Y., Fang, M., Chen, L.*, Xu, G.*, Du, Y., & Zhang, C. (2021). Reinforcement learning with multiple relational attention for solving vehicle routing problems. IEEE Transactions on Cybernetics, 52(10), 11107–11120.
Long, Y., Sun, Y., Xu, G.*, & Shu, P. (2021). Collaborative vehicle dispatching for resilient and fair emergency response. In The IEEE International Conference on Industrial Engineering and Engineering Management.
Zhu, A., Xu, G.*, Pauwels, P., de Vries, B., & Fang, M. (2021). Deep reinforcement learning for prefab assembly planning in robot-based prefabricated construction. In 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE) (pp. 1282–1288). IEEE.

Before 2021

Li, F., Chen, C., Xu, G.*, & Khoo, L.-P. (2020). Hierarchical eye-tracking data analytics for human fatigue detection at a traffic control center. IEEE Transactions on Human-Machine Systems, 50(5), 465–474.
Xie, B., Sun, Y., Huang, X., Yu, L., & Xu, G.* (2020). Travel characteristics analysis and passenger flow prediction of intercity shuttles in the Pearl River Delta on holidays. Sustainability, 12(18), 7249.
Xu, G., Chen, C.-H., Li, F.*, & Qiu, X. (2020). AIS data analytics for adaptive rotating shift in vessel traffic service. Industrial Management & Data Systems, 120(4), 749–767.
Zhao, Y., Xu, G.*, Du, Y., & Fang, M. (2020). Learning multi-agent communication with policy fingerprints for adaptive traffic signal control. In 2020 IEEE 16th International Conference on Automation Science and Engineering (CASE) (pp. 266–273). IEEE.
Shu, P., Sun, Y., Zhao, Y., & Xu, G.* (2020). Spatial-temporal taxi demand prediction using LSTM-CNN. In 2020 IEEE 16th International Conference on Automation Science and Engineering (CASE) (pp. 1226–1230). IEEE.
Li, M., Xu, G.*, Lin, P., & Huang, G. Q. (2019). Cloud-based mobile gateway operation system for industrial wearables. Robotics and Computer-Integrated Manufacturing, 58, 43–54.
Qiu, X., & Xu, G.* (2019). Optimizing rail transport service in a dry port system. IEEE Transactions on Engineering Management, 69(6), 2670–2683.
Shao, S., Xu, G.*, & Li, M. (2019). The design of an IoT-based route optimization system: A smart product-service system (SPSS) approach. Advanced Engineering Informatics, 42, 101006.
Shao, S., Xu, G.*, Li, M., & Huang, G. Q. (2019). Synchronizing e-commerce city logistics with sliding time windows. Transportation Research Part E: Logistics and Transportation Review, 123, 17–28.
Xu, G., Qiu, X.*, Fang, M., Kou, X., & Yu, Y. (2019). Data-driven operational risk analysis in E-Commerce logistics. Advanced Engineering Informatics, 40, 29–35.
Zhai, Y., Xu, G.*, & Huang, G. Q. (2019). Buffer space hedging enabled production time variation coordination in prefabricated construction. Computers & Industrial Engineering, 137, 106082.
Kou, X., Xu, G.*, & Yi, C. (2018). Belt-conveyor based efficient parallel storage system design and travel time model analysis. International Journal of Production Research, 56(23), 7142–7159.
Xu, G.*, Wang, J., Huang, G. Q., & Chen, C.-H. (2018). Data-driven resilient fleet management for cloud asset-enabled urban flood control. IEEE Transactions on Intelligent Transportation Systems, 19(6), 1827–1838.
Li, Z., Liu, G., Liu, L., Lai, X., & Xu, G.* (2017). IoT-based tracking and tracing platform for prepackaged food supply chain. Industrial Management & Data Systems, 117(9), 1906–1916.
Xu, G., Huang, G. Q.*, Fang, J., & Chen, J. (2017). Cloud-based smart asset management for urban flood control. Enterprise Information Systems, 11(5), 719–737.
Xu, G., Li, F., & Chen, C.-H.* (2017). Local AIS data analytics for efficient operation management in vessel traffic service. In 2017 13th IEEE Conference on Automation Science and Engineering (CASE) (pp. 1668–1672). IEEE.
Xu, G., Huang, G. Q.*, & Fang, J. (2015). Cloud asset for urban flood control. Advanced Engineering Informatics, 29(3), 355–365.
Xu, G., Zhong, R. Y., Yang, H., & Huang, G. Q.* (2015). Cloud asset-enabled prefabrication transportation service for public housing production in Hong Kong. In 2015 IEEE International Conference on Automation Science and Engineering (CASE) (pp. 1497–1502). IEEE.
Xu, G., Huang, G. Q.*, Fang, J., & Qiu, X. (2014). An integrated cloud platform for cooperative smart asset management in urban flood control. In Proceedings of the 2014 IEEE 18th International Conference on Computer Supported Cooperative Work in Design (CSCWD) (pp. 77–82). IEEE.
Xu, G., Fang, J., Qiu, X., & Huang, G. Q.* (2013). Service oriented platform for physical asset management of Supply Hub in Industrial Park (SHIP). In 43rd International Conference on Computers and Industrial Engineering 2013, CIE 2013 (pp. 1473–1479).
Xu, G., Wang, J., Wang, H.*, Liu, B., & Li, J. (2012). Scenario Generation and Scheduling of National Economy Mobilization Simulation and Training System. Journal of System Simulation (in Chinese).