Jingyi Zhao

Research Scientist at Shenzhen Research Institute of Big Data

Journal Papers

Published

Published

  1. Jingyi Zhao, Claudia Archetti, Tuan Anh Pham, Thibaut Vidal. Large Neighborhood and Hybrid Genetic Search for Inventory Routing Problems.
    *European Journal of Operational Research    , 2025. [Paper]

  2. Jingyi Zhao, Zirong Zeng, Yang Liu. Electric Vehicle Routing Problem Considering Traffic Conditions and Real-time Loads.
    *Transportation Research Part C: Emerging Technologies    , Vol. 176, 2025. [Paper]

  3. Kai Yang, Zhenzhen Zhang, Jingyi Zhao, Zhe Liang. A Neighborhood-based Mathematical Heuristic for the Vehicle Routing Problem with Delivery Options.
    *Transportation Research Part E: Logistics and Transportation Review    , Vol. 203, 104366, 2025. [Paper]

  4. Jingyi Zhao, Mark Poon, Vincent Y. F. Tan, Zhenzhen Zhang. A Hybrid Genetic Search and Dynamic Programming-based Split Algorithm for the Multi-trip Time-dependent Vehicle Routing Problem.
    *European Journal of Operational Research    , Vol. 317, No. 3, pp. 921-935, 2024. [Paper]

  5. Weiquan Wang, Jingyi Zhao. Partial Linear Recharging Strategy for the Electric Fleet Size and Mix Vehicle Routing Problem with Time Windows and Recharging Stations.
    *European Journal of Operational Research    , Vol. 308, No. 2, pp. 929-948, 2023. [Paper]

  6. Jingyi Zhao, Mark Poon, Zhenzhen Zhang, Ruixue Gu. Adaptive Large Neighborhood Search for the Time-dependent Profitable Dial-a-ride Problem.
    *Computers & Operations Research    , Vol. 147, 105938, 2022. [Paper]

Under Review

  1. Jingyi Zhao, Linxin Yang, Haohua Zhang, Qile He, Tian Ding. “From Sequential to Parallel: Reformulating Dynamic Programming as GPU Kernels for Large-Scale Stochastic Combinatorial Optimization”. Under Revision at ICLR 2026, 2025.

  2. Jianhua Xiao, Detian Kong, Zhiguang Cao, Jingyi Zhao. “Deep Reinforcement Learning for the Vehicle Routing Problem with Route Balancing”. *1st revision at Transportation Research Part E: Logistics and Transportation Review, 2024.

  3. Yaping Zhao, Xuewen Lei, Xinyue Zhang, Jingyi Zhao. “Machine Learning-Enhanced Rolling Horizon Optimization Algorithm for Dynamic Scheduling in AGV-Supported Rice Production”. *at Omega, 2024.

In Progress

  1. Jingyi Zhao, Youxuan Pan, Haoxiang Yang, Yang Liu*. “Large Neighborhood Search and Bitmask Dynamic Programming for Dynamic Mobile Charging Electric Vehicle Routing Problems in Medical Transportation”. 2024-2025.

  2. Jingyi Zhao, Kris Braekers, Youxuan Pan, Haoxiang Yang*. “A Mathematical Heuristic Method for Time-Dependent Vehicle Routing Problem Integrating Autonomous Electric Vehicles and Shared Distribution Locations”. 2024-2025.

  3. Jingyi Zhao, Haoxiang Yang. “Learning to Generate Lagrangian Cut for Two-stage Stochastic Mixed-integer Programs”. 2025.

  4. Jingyi Zhao, Xianzhi Wu, Daniele Vigo, Zhenzhen Zhang*. “Learning to search in the configuration of s stochastic vehicle routing problem with packing containers under demand uncertainty”. 2024-2026.

  5. Jingyi Zhao, Hongjun Chen, Bo Tang*. “Combinatorial Optimization and Machine Learning for Multi-stage Stochastic Inventory Routing”. 2024-2026.

  6. Jingyi Zhao, Xiaodong Luo, Juan Chen, Dong Zhang*. “Parallel Evaluation of Large-scale Pickup and Delivery Problem with Time Window”. 2024-2026.

  7. Jingyi Zhao*, Theo Guyard, Thibaut Vidal. “Large Neighborhood and Hybrid Genetic Search for 2-stage Stochastic Inventory Routing Problem”. 2024-2026.

  8. Hanrui Ye, Jingyi Zhao, Haoxiang Yang*. “Integrated Learning and Optimization of Bidding Strategies in Renewable Energy Electricity Markets”. 2024-2025.

  9. Bo Tang, Jingyi Zhao, Elias B. Khalil*, Jan Drgona. “Learning to Optimize for Mixed-Integer Nonlinear Programming”. 2024.

Conference Papers

  1. Jingyi Zhao, Linxin Yang, Haohua Zhang, Tian Ding. “GPU-based Split algorithm for Large-Scale CVRPSD”. *ScaleOPT: GPU-Accelerated and Scalable Optimization, NeurIPS 2025 Workshop, 2024.

  2. Runze Ni, Jingyi Zhao. “Enhancing Urban Intelligent Traffic Simulations of Human-driven Car-following Behavior Using Deep Learning Techniques”. *The 24th COTA International Conference of Transportation Professionals (CICTP 2024), 2024.

  3. Jingyi Zhao, Thibaut Vidal. “A Hybrid Genetic Algorithm for the Inventory Routing Problem”. *The Ninth International Workshop on Freight Transportation and Logistics (ODYSSEUS Conference 2024), 2024.