Curriculum vitae

Jiaxi (Jay) Liu 刘家熙

Ph.D. Candidate in Civil & Environmental Engineering
University of Wisconsin–Madison
jliu2487@wisc.edu

Research interests

My research focuses on cooperative perception, vehicle-road-cloud integration, language-model-assisted autonomous driving, and safety-critical scenario generation.

Research experience

Research Assistant

Fall 2024 – Present

CATS Lab, University of Wisconsin–Madison

Research on cooperative perception, vehicle-road-cloud integration systems, and LLM-assisted autonomous driving.

Education

University of Wisconsin–Madison

In progress

Ph.D. · Civil and Environmental Engineering

Tsinghua University

M.S. · Mechanical Engineering

Tsinghua University

2017–2022

B.Eng. · Vehicle Engineering

Also earned a second bachelor’s degree in Economics.

Teaching

CEE 571: Urban Transportation Planning

Fall 2026

Teaching Assistant and Guest Lecturer · University of Wisconsin–Madison

Transportation Planning Software: an interactive lecture companion with five browser demos set in one hypothetical city, covering the four-step travel demand model, walking access to transit, and zone size.

CEE 678: Advanced Traffic Modeling and Computer Simulation

Spring 2026

Teaching Assistant · University of Wisconsin–Madison

CEE 579: Seminar-Transportation Engineering

Fall 2025

Teaching Assistant · University of Wisconsin–Madison

Publications & preprints

Preprint2026

SAGE: A hybrid vision-language and geometry framework for work-zone pathway prediction under temporary traffic control

Jiaxi Liu, Keshu Wu, Weizhe Tang, Bofeng Cao, Sikai Chen, Xiaopeng Li, Steven T. Parker, Bin Ran

arXiv

arXiv PDF (preprint)Project

Preprint2026

Physics-Informed Koopman Learning for Data-Efficient System Identification of Automated Vehicle Dynamics

Hangyu Li, Yiming Meng, Zhaohui Liang, Yunqing Xiao, Yuxuan Chen, Bofeng Cao, Shixiao Liang, Jiaxi Liu, Haotian Shi, Xiaopeng Li

arXiv

arXiv PDF (preprint)Code

Preprint2026

How corner is a corner case? Percentile control for highway scenario generation

Jiaxi Liu, Hang Zhou, Hangyu Li, Yifan Wang, Keke Long, Chengyuan Ma, Bin Ran, Xiaopeng Li

arXiv · Under review at Transportation Research Part C: Emerging Technologies

arXiv PDF (preprint)Project Code

Journal article2026

Risk Occupancy: A New and Efficient Paradigm Through Vehicle-Road-Cloud Collaboration

Jiaxing Chen, Wei Zhong, Bolin Gao, Yifei Liu, Hengduo Zou, Jiaxi Liu, Yanbo Lu, Jin Huang, Zhihua Zhong

IEEE Transactions on Intelligent Transportation Systems, 27, 10631-10641

DOI arXiv PDF (preprint)

Journal article2026

Real-time lane-level abnormal traffic detection on freeways using sparse telematics data

Shixiao Liang, Chengyuan Ma, Pei Li, Haotian Shi, Jiaxi Liu, Hang Zhou, Keke Long, Bofeng Cao, Todd Szymkowski, Xiaowei Shi, Xiaopeng Li

Accident Analysis & Prevention, 234, 108607

DOI arXiv PDF (preprint)

Preprint2026

Geometry-Aware Infrastructure-Anchored Denoiser for UWB Sensing and Work-Zone Reconstruction

Weizhe Tang, Jiaxi Liu, Junwei You, Steven T. Parker, Pei Li, Sikai Chen, Meng Ran, Bin Ran

arXiv

arXiv PDF (preprint)

Preprint2026

V2I Work Zone Geometry Reconstruction with Pose-Conditioned UWB Range Denoising

Jiaxi Liu, Hangyu Li, Yang Cheng, Rui Gan, Junwei You, Weizhe Tang, Peng Zhang, Steven T. Parker, Xiaopeng Li, Bin Ran

arXiv

arXiv PDF (preprint)

Preprint2026

V2X-QA: A Comprehensive Reasoning Dataset and Benchmark for Multimodal Large Language Models in Autonomous Driving Across Ego, Infrastructure, and Cooperative Views

Junwei You, Pei Li, Zhuoyu Jiang, Weizhe Tang, Zilin Huang, Rui Gan, Jiaxi Liu, Yan Zhao, Sikai Chen, Bin Ran

arXiv

arXiv PDF (preprint)Code

Preprint2026

HERMES: A Holistic End-to-End Risk-Aware Multimodal Embodied System with Vision-Language Models for Long-Tail Autonomous Driving

Weizhe Tang, Junwei You, Jiaxi Liu, Zhaoyi Wang, Rui Gan, Zilin Huang, Pei Li, Sikai Chen, Feng Wei, Bin Ran

arXiv

arXiv PDF (preprint)

Journal article2026

VLM-MPC: Model predictive controller augmented vision language model for autonomous driving

Keke Long, Haotian Shi, Jiaxi Liu, Chaowei Xiao, Xiaopeng Li

Transportation Research Part C: Emerging Technologies, 183, 105487

DOI arXiv PDF (preprint)

Conference paper2026

CATS-V2V: A Real-World Vehicle-to-Vehicle Cooperative Perception Dataset with Complex Adverse Traffic Scenarios

Hangyu Li, Bofeng Cao, Zhaohui Liang, Wuzhen Li, Juyoung Oh, Yuxuan Chen, Shixiao Liang, Hang Zhou, Chengyuan Ma, Jiaxi Liu, Zheng Li, Peng Zhang, Keke Long, Maolin Liu, Jackson Jiang, Chunlei Yu, Shengxiang Liu, Hongkai Yu, Xiaopeng Li

CVPR Findings

arXiv PDF Project Code

Journal article2025