Xusen Guo

I am currently a Ph.D. candidate in Intelligent Transportation (INTR) at The Hong Kong University of Science and Technology (Guangzhou), under the guidance of Prof. Yuxuan Liang and Prof. Hai Yang. During the first year of my doctoral studies, I was also mentored by Professor Prof. Meixin Zhu.

Prior to my Ph.D. studies, I worked in the industry. From 2020 to 2023, I served as a Perception Engineer at Waytous.com, where I was responsible for the development and deployment of roadside perception systems in mining areas. I also had a brief stint at Banma.ai, where I worked on the development of perception systems for autonomous vehicle parking features, including automatic parking and memory parking functions.

I completed my graduate studies at the School of Computer Science, Sun Yat-sen University, where I conducted research on autonomous vehicle perception systems under the supervision of Prof. Kai Huang at the Institute of Automation. My primary focus was on multi-sensor fusion algorithms. I completed my undergraduate degree at the School of Materials Science and Engineering, Sun Yat-sen University, with a focus on computer simulations of molecular sieve structures.

Currently, my primary research interests include LLM Agents, Multi-Agent Simulation, Urban Sensing, and Urban Simulation.

Email  /  Resume EN (CN)  /  Google Scholar  /  Github

profile photo

Publications

Language-Grounded Multi-Agent Planning for Personalized and Fair Participatory Urban Sensing
Xusen Guo, Mingxing Peng, Hongliang Lu, Hai Yang, Jun Ma, Yuxuan Liang
ACL, 2026, under review
AgentSense: LLMs Empower Generalizable and Explainable Web-Based Participatory Urban Sensing
Xusen Guo, Mingxing Peng, Xixuan Hao, Xingchen Zou, Qiongyan Wang, Sijie Ruan, Yuxuan Liang
WWW, 2026
Automating Traffic Model Enhancement with AI Research Agent
Xusen Guo, Xinxi Yang, Mingxing Peng, Hongliang Lu, Meixin Zhu, Hai Yang
Transportation Research Part C, 2025
Towards explainable traffic flow prediction with large language models
Xusen Guo, Qiming Zhang, Junyue Jiang, Mingxing Peng, Meixin Zhu, Hao Frank Yang
Communications in Transportation Research, 2024
3D object detection and tracking based on streaming data
Xusen Guo, Jianfeng Gu, Silu Guo, Zixiao Xu, Chengzhang Yang, Shanghua Liu, Long Cheng, Kai Huang
IEEE International Conference on Robotics and Automation (ICRA), 2020
LC-LLM: Explainable lane-change intention and trajectory predictions with Large Language Models
Mingxing Peng, Xusen Guo, Xianda Chen, Kehua Chen, Meixin Zhu, Long Chen and Fei-Yue Wang
Communications in Transportation Research, 2025
Diffusion models for intelligent transportation systems: A survey
Mingxing Peng, Kehua Chen, Xusen Guo, Qiming Zhang, Hui Zhong, Meixin Zhu, Hai Yang
IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2025
Coordinated Pandemic Control with Large Language Model Agents as Policymaking Assistants
Ziyi Shi, Xusen Guo, Hongliang Lu, Mingxing Peng, Haotian Wang, Zheng Zhu, Zhenning Li, Yuxuan Liang, Xinhu Zheng, and Hai Yang
arxiv, 2026
Enhancing Ride-Hailing Forecasting at DiDi with Multi-View Geospatial Representation Learning from the Web
Xixuan Hao, Guicheng Li, Daiqiang Wu, Xusen Guo, Yumeng Zhu, Zhichao Zou, Peng Zhen, Yao Yao, Yuxuan Liang
WWW, 2026
LD-Scene: LLM-guided diffusion for controllable generation of adversarial safety-critical driving scenarios
Mingxing Peng, Yuting Xie, Xusen Guo, Ruoyu Yao, Hai Yang, Jun Ma
Transportation Research Part C, 2026
nuPlan-R: A Closed-Loop Planning Benchmark for Autonomous Driving via Reactive Multi-Agent Simulation
Mingxing Peng, Ruoyu Yao, Xusen Guo, Jun Ma
IEEE Intelligent Vehicles Symposium (IV), 2026
Safety-critical traffic simulation with guided latent diffusion model
Mingxing Peng, Ruoyu Yao, Xusen Guo, Yuting Xie, Xianda Chen, Jun Ma
IEEE International Conference on Intelligent Transportation Systems (ITSC), 2025

Miscellanea

Academic Service

Reviewers: KDD, T-ITS, TVT, TIV, WebST, ICRA, IROS, ITSC, IC, TR-C

Teaching

TA, PDEV6800X--Introduction to Teaching and Learning in Higher Education (2025-26 Fall), HKUST(GZ)
TA, INTR5230--Data-driven Methods in Transportation (2024-25 Spring), HKUST(GZ)
TA, INTR5130--Traffic Control and Simulation (2024-25 Fall), HKUST(GZ)