Xuewen (Snow) Luo

I am a Ph.D. student in Transportation Engineering at the University of Utah (since Fall 2025). Before that, I received my Master of Artificial Intelligence (High Distinction) from Monash University and my Bachelor of Logistics Management from Yunnan University.

My research explores how to harness foundation models for autonomous driving and robotics, bridging large-scale pretrained knowledge with real-world embodied decision-making.

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snow29730@gmail.com

Current Interest

Lately I've been thinking a lot about how to evaluate driving behavior — what makes a trajectory safe, reasonable, and human-like, and how to measure it. I'm always happy to chat and collaborate with anyone interested in this topic — feel free to reach out!

News

2026.10Three papers accepted to TRB 2027.
2026.10Intent2Drive and LangV2X selected as Podium Presentations at ASCE 2027.
2026.08Invited to serve as a Paper Review Coordinator (PRC) for the TRB Connected and Automated Vehicle Systems Committee (ACF17), TRB 2027.
2026.08Joined Glydways as an ML Perception Intern, working on in-cabin perception.
2026.06V2X-UniPool appeared at the CVPR 2026 Workshops in Denver.
2026.05Received the WTS Northern Utah Chapter Scholarship.
2025.08Started my Ph.D. at the University of Utah.
2025.05Our paper on LLM-powered driving intelligence evaluation appeared at ICRA 2025 in Atlanta.
2025.04Awarded the IEEE ITSS Fellowship.
2025.02Two first-author papers, SenseRAG and What's Happening, appeared at the WACV 2025 Workshops in Tucson.

Publications

(bold denotes myself)

V2X-UniPool: Unifying Multimodal Perception and Knowledge Reasoning for Autonomous Driving

Xuewen Luo, F. Yang, D. Fan, X. Gao, B. Yu, Z. Li, Z. Tu, Y. Zhou, C. Liu

CVPRW 2026IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, pp. 747–756

Edge-Based Multimodal Sensor Data Fusion with Vision-Language-Action (VLA) Model for Real-Time Autonomous Vehicle Accident Avoidance

F. Yang, B. Yu, Y. Zhou, X. Luo, Z. Tu, C. Liu

EAAI 2026Engineering Applications of Artificial Intelligence, vol. 180, 115186

GSMT: Graph Fusion and Spatiotemporal Task Correction for Multi-Bus Trajectory Prediction

F. Ding, H. H. Tew, J. Y. Loo, L. T. Liu, F. Y. Leong, X. Luo, K. K. Chin, J. J. Gan

VTC 2026-FallIEEE 104th Vehicular Technology Conference

SenseRAG: Constructing Environmental Knowledge Bases with Proactive Querying for LLM-Based Autonomous Driving

Xuewen Luo, C. Liu, F. Ding, F. Yang, Y. Zhou, J. Y. Loo, H. H. Tew

WACVW 2025IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, pp. 989–996

What's Happening: A Human-Centered Multimodal Interpreter Explaining the Actions of Autonomous Vehicles

Xuewen Luo, F. Ding, R. Chen, R. Panda, J. Y. Loo, S. Zhang

WACVW 2025IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, pp. 1073–1080

A Comprehensive LLM-Powered Framework for Driving Intelligence Evaluation

S. You, X. Luo, X. Liang, J. Yu, C. Zheng, J. Gong

ICRA 2025IEEE International Conference on Robotics and Automation, pp. 7028–7035

PKRD-CoT: A Unified Chain-of-Thought Prompting for Multi-Modal Large Language Models in Autonomous Driving

Xuewen Luo, F. Ding, Y. Song, X. Zhang, J. Y. Loo

ICONIP 2024International Conference on Neural Information Processing, pp. 62–76

Energy-Efficient Hybrid Model Predictive Trajectory Planning for Autonomous Electric Vehicles

F. Ding, X. Luo, G. Li, H. H. Tew, J. Y. Loo, C. W. Tong, A. S. M. Bakibillah, Z. Zhao, Z. Tao

SMC 2024IEEE International Conference on Systems, Man, and Cybernetics, pp. 1263–1269

Cross-Domain Transfer Learning using Attention Latent Features for Multi-Agent Trajectory Prediction

J. Q. Loh, X. Luo, F. Ding, H. H. Tew, J. Y. Loo, Z. Y. Ding, S. Susilawati, C. P. Tan

SMC 2024IEEE International Conference on Systems, Man, and Cybernetics, pp. 3905–3911

KANS: Knowledge Discovery Graph Attention Network for Soft Sensing in Multivariate Industrial Processes

H. H. Tew, G. Li, F. Ding, X. Luo, J. Y. Loo, C. M. Ting, Z. Y. Ding, C. P. Tan

SMC 2024IEEE International Conference on Systems, Man, and Cybernetics, pp. 4377–4383

FedBChain: A Blockchain-Enabled Federated Learning Framework for Improving DeepConvLSTM with Comparative Strategy Insights

G. Li, C. H. Lim, Q. Ma, X. Tang, H. H. Tew, F. Ding, X. Luo

SMC 2024IEEE International Conference on Systems, Man, and Cybernetics, pp. 2607–2612

Under Review & Preprints

Which Trajectory Is Safer? Combining Rule and Learning for Safety Evaluation

Xuewen Luo, L. Jiang, B. Yu, F. Ding, X. Zuo, Y. Wang

ICRA 2027Under review

Who Responds When the Driver Is Gone? A Framework for Human Intent Understanding

Xuewen Luo, D. Fan, R. Chen, Y. Cao, X. Liu, B. Yu, F. Yang, C. Liu

arXiv 2026arXiv:2607.04670

From Sensors to Sentences: A Language-Driven Framework for V2X Cooperation

Xuewen Luo, B. Yu, Y. Zhang

2026Under review

JARVIS: From Visual Manuals to Autonomous Robotic Assembly

D. Fan, F. Ke, K. Y. Ma, X. Luo, W. Liang, V. M. Baskaran, H. Rezatofighi, Y. Wu

ICLR 2027Under review

CIVIC: End-to-End Sequence Compactness for Efficient Vision-Language Models

F. Yang, B. Yu, X. Luo, C. Liu, C. Liu

arXiv 2026arXiv:2605.28115

Locatability-Guided Adaptive Reasoning for Image Geo-Localization with Vision-Language Models

B. Yu, F. Yang, Y. Liu, C. Wang, X. Luo, T. Li, R. Ke, X. Zhou, C. Liu

arXiv 2026arXiv:2603.13628

KnowDiffuser: A Knowledge-Guided Diffusion Planner with LLM Reasoning

F. Ding, X. Luo, F. Yang, B. Yu, H. H. Tew, G. Krishnasamy, J. Y. Loo

arXiv 2026arXiv:2603.10441

Drive As You Like: Strategy-Level Motion Planning Based on a Multi-Head Diffusion Model

F. Ding, X. Luo, H. H. Tew, R. Reddy, X. Wang, J. Y. Loo

arXiv 2025arXiv:2508.16947

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration

X. Gao, Y. Wu, F. Yang, X. Luo, K. Wu, X. Chen, Y. Wang, C. Liu, Y. Zhou, Z. Tu

arXiv 2025arXiv:2506.19283

Experience

Glydways

ML Perception Intern · San Francisco Bay Area, CA

In-cabin perception: understanding and responding to passengers inside the vehicle.

2026.08 – 2026.12

Li Auto

LLM Algorithm Intern · Beijing, China

Chain-of-Thought data synthesis and supervised fine-tuning strategies for LLM reasoning.

2024.12 – 2025.03

University of Utah

Research Intern · Advisor: Chenxi Liu

Smart transportation systems for intersection safety → SenseRAG, V2X-UniPool.

2024.08 – 2025.01

Tsinghua University

Research Intern · Advisor: Jiangtao Gong

LLM + knowledge-graph RAG for driving behavior evaluation → ICRA 2025.

2024.05 – 2024.10

Monash University

Research Intern · Advisor: Junnyong Loo

End-to-end autonomous driving and trajectory planning → SMC 2024.

2023.10 – 2025.06

Education

University of Utah

Ph.D. in Transportation Engineering

2025.08 – Present

Monash University

Master of Artificial Intelligence · High Distinction

2023.07 – 2025.07

Yunnan University

Bachelor of Logistics Management

2018.09 – 2022.06

Honors & Awards

WTS Northern Utah Chapter Undergraduate/Graduate Scholarship, 2026
IEEE ITSS Fellowship — Promoting Women, Young Professionals, and Leadership in ITS, 2025

Service

Reviewer: CVPR 2026, NeurIPS 2026, IROS 2025, WACV 2025, TRB 2026, CICTP 2025, ICIC 2025, Frontiers of Information Technology & Electronic Engineering
Paper Review Coordinator (PRC): TRB Annual Meeting 2027, Connected and Automated Vehicle Systems Committee (ACF17)
TRB: Friend Member, Connected and Automated Vehicle Systems Committee; Integrated Transportation Safety Management Committee
ASCE: Corresponding Member, Data Sensing & Analytics Committee; Transportation Safety Committee

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