Chengming Wang
PhD Student in Computer Science, focusing on Intelligent Transportation Systems
Xi'an Jiaotong-Liverpool University
Email: Chengming.Wang23@student.xjtlu.edu.cn / chengmingwang95@gmail.com
About Me
Chengming Wang (王诚明) is a PhD student in Computer Science at Xi’an Jiaotong-Liverpool University (XJTLU), specializing in Intelligent Transportation Systems (ITS), supervised by Dongyao Jia, Wei Wang, Meng Fang, and Dong Ngoduy.
He obtained his B.Sc. in Mathematics and Statistics from Nanjing University in 2017, followed by an M.Sc. in Big Data Technology from The Hong Kong University of Science and Technology (HKUST) in 2018.
Prior to commencing his PhD in 2024, he worked on large-scale AI-driven systems at JD.com, Meituan, and Kuaishou, where he led collaborative teams in designing and deploying AI solutions for complex real-world problems, with applications in supply chain optimization and online advertising systems.
Research Interests
- AI for Intelligent Transportation Systems
- Modeling and Analysis of Driver Behavior
- Mixed Traffic Modeling and Simulation
- Connected and Autonomous Technologies
- Traffic Flow Prediction
News
- 2026: First-author paper published in Transportation Research Part C: Extending car-following models to multi-lane traffic through Anticipation-Aware dynamic graph networks.
- 2025: First-author paper published in Communications in Transportation Research: A knowledge-informed deep learning paradigm for generalizable and stability-optimized car-following models.
- 2025: First-author paper published in Transportation Research Part C: Segment-then-refine: A general calibration framework incorporating intra-driver heterogeneity into car-following models.
- 2024: First-author paper published at IEEE ITSC 2024: A Novel Feature-Sharing Auto-Regressive Neural Network for Enhanced Car-Following Model Calibration.