YOU, Jintao
POSITION/TITLE
SRIBD Research Scientist
RESEARCH FIELD
Logistics Scheduling, Optimization algorithm design, Container Drayage Problem
youjintao@sribd.cn
EDUCATION BACKGROUND
Huawei Technology, Postdoctoral Fellow
National University of Singapore, Research Fellow
Tsinghua University, PhD
BIOGRAPHY
Dr. You Jintao is currently a research scientist in the Shenzhen Research Institute of Big Data. Prior to joining the Shenzhen Research Institute of Big Data, he worked as a researcher at the National University of Singapore and Huawei Technologies Limited. His research papers have been published in renowned logistics and transportation journals such as Transportation Research Part B and Part E. He has led one Zhixin Project and one Guangdong Provincial Youth Joint Project, and has participated in three National Natural Science Foundation projects, one Singapore A*STAR project, and one Singapore Maritime and Port Authority project. Among these, the cloud resource bandwidth scheduling project he participated in at Huawei Cloud Algorithm Innovation Lab was shortlisted for the INFORMS 2023 Franz Edelman Finalist Award.
ACADEMIC PUBLICATIONS
You, J., Miao, L., Zhang, C., & Xue, Z. (2020). A generic model for the local container drayage problem using the emerging truck platooning operation mode. Transportation Research Part B: Methodological, 133, 181-209.
You, J., Wang, Y., & Xue, Z. (2023). An exact algorithm for the multi-trip container drayage problem with truck platooning. Transportation Research Part E: Logistics and Transportation Review, 175, 103138.
Xue, Z., Lin, H., & You, J.* (2021). Local container drayage problem with truck platooning mode. Transportation Research Part E: Logistics and Transportation Review, 147, 102211.
You, J., Zhang, C., Xue, Z., Miao, L., & Ye, B. (2021). A bi-objective model for robust local container drayage problem. RAIRO-Operations Research, 55, S625-S646.
Yuan, X., Zhao, P., Hu, H., You, J., Yang, C., Peng, W., ... & Teo, K. M. (2024). Huawei Cloud Adopts Operations Research for Live Streaming Services to Save Network Bandwidth Cost: The GSCO System. INFORMS Journal on Applied Analytics, 54(1), 37-53.
OTHER OPTIONAL ENTRIES
INFORMS 2023 Franz Edelman Finalist Award
