Jie Gao

According to our database, Jie Gao authored at least 25 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Enhancing Cross-Problem Vehicle Routing via Federated Learning.

Xiangchi Meng, Jianan Zhou, Jie Gao, Yifan Lu, Yaoxin Wu, Gonglin Yuan, Yaqing Hou

CoRR, April, 2026

LLMs for Human Mobility: Opportunities, Challenges, and Future Directions.

Jie Gao, Yaoxin Wu

CoRR, March, 2026

Reasoning in a Combinatorial and Constrained World: Benchmarking LLMs on Natural-Language Combinatorial Optimization.

Xia Jiang, Jing Chen, Cong Zhang, Jie Gao, Chengpeng Hu, Chenhao Zhang, Yaoxin Wu, Yingqian Zhang

CoRR, February, 2026

Rethinking Machine Learning Performance Metrics in Distributed Energy Resource Systems: A Concise Review.

Qiushi Li, Chengming Hu, Jun Yan, Jie Gao, Hepeng Li, Yuhong Liu, Xiao'ou Yang, Dafang Zhao

Proceedings of the 2026 ACM Sustainability Week, 2026

2025

Learning Personalized Utility Functions for Drivers in Ride-hailing Systems Using Ensemble Hypernetworks.

Weiming Mai, Jie Gao, Oded Cats

CoRR, June, 2025

Timing the Match: A Deep Reinforcement Learning Approach for Ride-Hailing and Ride-Pooling Services.

Yiman Bao, Jie Gao, Jinke He, Frans A. Oliehoek, Oded Cats

CoRR, March, 2025

Optimizing matching radius for ride-hailing systems with dual-replay-buffer deep reinforcement learning.

Jie Gao, Rong Cheng, Yaoxin Wu, Honghao Zhao, Weiming Mai, Oded Cats

Comput. Ind. Eng., 2025

UniteFormer: Unifying Node and Edge Modalities in Transformers for Vehicle Routing Problems.

Dian Meng, Zhiguang Cao, Jie Gao, Yaoxin Wu, Yaqing Hou

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Position Paper: Emergent Machina Sapiens Urge Rethinking Multi-Agent Paradigms in Critical Infrastructures.

Hepeng Li, Yuhong Liu, Jun Yan, Jie Gao, Xiao'ou Yang, Mohamed Naili

Proceedings of the International Joint Conference on Neural Networks, 2025

An Activity-and Agent-based Co-Simulation Framework for the Metropolitan Rotterdam The Hague Region.

Jingjun Li, Han Zhou, Maaike Snelder, Bart van Arem, Jie Gao

Proceedings of the 16th International Conference on Ambient Systems, 2025

2024

Dynamic Predictive Matching Framework for Crowd-Sourced Delivery Service.

Shixuan Hou, Jie Gao, Yili Tang, Bissan Ghaddar

Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

2023

Optimization Framework for Crowd-Sourced Delivery Services With the Consideration of Shippers' Acceptance Uncertainties.

Shixuan Hou, Jie Gao, Chun Wang

IEEE Trans. Intell. Transp. Syst., January, 2023

2022

A Price-Based Iterative Double Auction for Charger Sharing Markets.

Jie Gao, Terrence Wong, Chun Wang, Jia Yuan Yu

IEEE Trans. Intell. Transp. Syst., 2022

VOMA: A Privacy-Preserving Matching Mechanism Design for Community Ride-Sharing.

Jie Gao, Terrence Wong, Bassant Selim, Chun Wang

IEEE Trans. Intell. Transp. Syst., 2022

BM-DDPG: An Integrated Dispatching Framework for Ride-Hailing Systems.

Jie Gao, Xiaoming Li, Chun Wang, Xiao Huang

IEEE Trans. Intell. Transp. Syst., 2022

A Data-Driven Approach for Vehicle Relocation in Car-Sharing Services with Balanced Supply-Demand Ratios.

Xiaoming Li, Jie Gao, Chun Wang, Xiao Huang

Int. J. Intell. Transp. Syst. Res., 2022

Ride-Sharing Matching Under Travel Time Uncertainty Through Data-Driven Robust Optimization.

Xiaoming Li, Jie Gao, Chun Wang, Xiao Huang, Yimin Nie

IEEE Access, 2022

A Pricing Mechanism for Ride-Hailing Systems in the Presence of Driver Acceptance Uncertainty.

Jie Gao, Xiaoming Li, Chun Wang, Xiao Huang

IEEE Access, 2022

2021

Ride-Sharing Matching under Travel Time Uncertainty through A Data-Driven Robust Optimization Approach.

Xiaoming Li, Jie Gao, Chun Wang, Xiao Huang, Yimin Nie

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Driver guidance and rebalancing in ride-hailing systems through mixture density networks and stochastic programming.

Xiaoming Li, Jie Gao, Chun Wang, Xiao Huang, Yimin Nie

Proceedings of the IEEE International Smart Cities Conference, 2021

2020

Learning-based open driver guidance and rebalancing for reducing riders' wait time in ride-hailing platforms.

Jie Gao, Xiaoming Li, Chun Wang, Xiao Huang

Proceedings of the IEEE International Smart Cities Conference, 2020

2019

Coordinating patient preferences through automated negotiation: A multiagent systems model for diagnostic services scheduling.

Jie Gao, Terrence Wong, Chun Wang

Adv. Eng. Informatics, 2019

Scheduling Electric Vehicles to Chargers through Iterative Double Auction Mechanism.

Jie Gao, Jia Yuan Yu, Chun Wang, Terrence Wong

Proceedings of the 2019 IEEE International Smart Cities Conference, 2019

2018

A Market-Based Scheduling Mechanism Design for Cost Reduction in Home Health Care.

Jie Gao, Zhijie Xie, Chun Wang

J. Integr. Des. Process. Sci., 2018

Automated Negotiation Protocol for Collaborative Diagnostic Services Scheduling.

Jie Gao, Chun Wang

Proceedings of the 22nd IEEE International Conference on Computer Supported Cooperative Work in Design, 2018