Scholar
Jingyi Zhao
Google Scholar ID: UHHYdoYAAAAJ
Shenzhen Research Institute of Big Data
Citations & Impact
Citations
97
H-index
3
i10-index
3
Publications
11
Co-authors
6
list available
Contact
Publications
Resume (English only)
Academic Achievements
- - Publications:
- - Adaptive large neighborhood search for the time-dependent profitable dial-a-ride problem, Computers & Operations Research, 2022
- - 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, 2023
- - A hybrid genetic search and dynamic programming-based split algorithm for the multi-trip time-dependent vehicle routing problem, European Journal of Operational Research, 2024
- - Electric vehicle routing problem considering traffic conditions and real-time loads, Transportation Research Part C: Emerging Technologies, 2025
- - 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)
- - LARGE NEIGHBORHOOD AND HYBRID GENETIC SEARCH FOR INVENTORY ROUTING PROBLEMS, The Ninth International Workshop on Freight Transportation and Logistics (ODYSSEUS Conference 2024)
- - Awards:
- - Silver medal in ACM-ICPC Asia Regional Contest (2016, Qingdao)
- - Golden Medal in ACM-ICPC Asia Regional Contest (2017, Qingdao)
- - Golden Medal in ACM-ICPC Asia Regional Contest (2017, Nanning)
- - Best Paper Award at the CTS Conference in 2023
Research Experience
- - Postdoctoral Research Assistant at École Polytechnique de Montréal after completing the doctorate in 2023, working on a variant of the inventory routing problem, Advisor: Prof. Thibaut Vidal
- - Reviewer for the European Journal of Operational Research (EJOR) and Computers & Operations Research (COR)
Education
- - Ph.D.: Department of Industrial Systems Engineering and Management at the National University of Singapore, Advisors: Prof. Vincent Y.F. Tan and Prof. Yeow Meng Chee, Graduated in 2023
- - Bachelor's Degree: School of Computer Science at Northwestern Polytechnical University
Background
- - Research Interests: Application of algorithm design in logistics and transportation planning
- - Professional Field: Combinatorial optimization, particularly vehicle and inventory routing issues
- - Introduction: Will join the Shenzhen Research Institute of Big Data as a research scientist in June 2024. Main research focus is on combinatorial optimization, especially in vehicle and inventory routing problems.
Miscellany
- - Personal Interests: Not provided
