Jiawei Wang

About

Jiawei Wang is an incoming tenure-track Assistant Professor in Intelligent Transportation at the Systems Hub, HKUST (Guangzhou), where he will join in May 2026. He is currently a Postdoctoral Researcher at the Graduate School of Interdisciplinary Information Studies, The University of Tokyo, and a Visiting Scholar at the Center for Spatial Information Science, The University of Tokyo.

He received his Ph.D. in Civil Engineering from McGill University, Canada. Prior to that, he obtained his B.Eng. in Transportation Engineering and M.Eng. in Traffic Information Engineering and Control from Sun Yat-sen University, China.

His research lies at the intersection of artificial intelligence and transportation systems, with a particular interest in building an integrated scientific route from traffic generation, to traffic understanding, and further to traffic control. He develops data-driven and behaviorally grounded methods for mobility generation, generative traffic simulation, and public transportation optimization.

News

Selected updates
[2026-05]

Joining HKUST(GZ) as a tenure-track Assistant Professor in Intelligent Transportation.

[2026-01]

Two papers accepted to ICLR 2026: ELLMob and TrajFlow.

[2024-12]

Our paper on LLM agents for personal mobility generation was presented at NeurIPS 2024.

Research

Full publication list

Mobility Generation and Understanding with Foundation Models

Large language models for human mobility generation, event-aware behavior modeling, and urban analysis.

Large language models as urban residents: An LLM agent framework for personal mobility generation

NeurIPS 2024

Jiawei Wang, Renhe Jiang, Chuang Yang, Zengqing Wu, Shibasaki Ryosuke, Koshizuka Noboru, Xiao Chuan

Behaviorally grounded LLM agents for simulating personal mobility in cities.

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ELLMob: Event-Driven Human Mobility Generation with Self-Aligned LLM Framework

ICLR 2026

Yusong Wang, Chuang Yang, Jiawei Wang, Xiaohang Xu, Jiayi Xu, Dongyuan Li, Chuan Xiao, Renhe Jiang

An event-aware self-aligned LLM framework for human mobility generation under dynamic urban contexts.

PDF Code

Generative Modeling for Traffic Simulation

Generative AI methods for traffic simulation, trajectory synthesis, and transportation system modeling.

TrajFlow: Nation-wide Pseudo GPS Trajectory Generation with Flow Matching Models

ICLR 2026

Peiran Li, Jiawei Wang* , Haoran Zhang, Xiaodan Shi, Noboru Koshizuka, Chihiro Shimizu, Renhe Jiang

A flow matching framework for large-scale pseudo GPS trajectory generation at national scale.

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Reinforcement Learning for Public Transportation Control

Learning-based control for bus operations, transit reliability, and coordinated mobility systems.

Dynamic holding control to avoid bus bunching: A multi-agent deep reinforcement learning framework

Transportation Research Part C 2020

Jiawei Wang, Lijun Sun

A multi-agent deep RL framework for adaptive bus holding control.

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Reducing bus bunching with asynchronous multi-agent reinforcement learning

IJCAI 2021

Jiawei Wang, Lijun Sun

Asynchronous multi-agent reinforcement learning for robust bus bunching mitigation.

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Robust dynamic bus control: A distributional multi-agent reinforcement learning approach

IEEE TITS 2022

Jiawei Wang, Lijun Sun

Distributional multi-agent RL for robust transit control under uncertainty.

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Multi-objective multi-agent deep reinforcement learning to reduce bus bunching for multi-line services with a shared corridor

Transportation Research Part C 2023

Jiawei Wang, Lijun Sun

Multi-objective RL for coordinated control in multi-line bus systems.

PDF Code

Experience

Incoming Assistant Professor

May 2026 – Future

HKUST (Guangzhou)

Building a research program on Generative Intelligent Transportation.

Postdoctoral Researcher

2023 – Present

Graduate School of Interdisciplinary Information Studies, The University of Tokyo

Research on mobility generation.

Visiting Scholar

2023 – Present

Center for Spatial Information Science, The University of Tokyo

Research on urban mobility intelligence and spatial data-driven transport modeling.

Ph.D. in Civil Engineering

2019 – 2023

McGill University

Transportation systems, reinforcement learning, and mobility operations.

M.Eng. in Traffic Information Engineering and Control

2016 – 2019

Sun Yat-sen University

Transportation data analysis and intelligent transportation systems.

B.Eng. in Transportation Engineering

2012 – 2016

Sun Yat-sen University

Foundations in transportation engineering and systems analysis.