Yansong Qu

Ph.D. Student
Research Assistant | Teaching Assistant
Lyles School of Civil and Construction Engineering
Purdue University, West Lafayette, IN
Office: Transportation Lab, HAMP
Email: qu120@purdue.edu

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Transportation Lab

Delon and Elizabeth Hampton Hall of Civil Engineering

West Lafayette, IN 47907

Hi there! Welcome to my personal website! 👋

I am currently a first-year Ph.D. student in Civil Engineering (Transportation) at Purdue University - West Lafayette, advised by Prof. Samuel Labi at the Center for Connected and Automated Transportation (CCAT), Purdue and co-advised by Prof. Sikai Chen at Sky-Lab.

My research centers on Artificial Intelligence (AI) in transportation and Intelligent Autonomous Systems, with a particular focus on autonomous driving, human-in-the-loop AI, human-robot interaction, reinforcement learning, multimodal large language models, transfer learning, spatiotemporal data mining, and traffic safety.

I aim to bridge the gap between theoretical advancements and practical applications, creating innovative AI systems that not only advance academic understanding but also transform real-world transportation, contributing to smarter, safer, and more sustainable mobility solutions for the future.

news

selected publications

  1. Preprint
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    VL-SAFE: Vision-Language Guided Safety-Aware Reinforcement Learning with World Models for Autonomous Driving
    Yansong Qu, Zilin Huang, Zihao Sheng, and 3 more authors
    arXiv preprint arXiv:2505.16377, 2025
  2. CVPR Workshop
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    Talk2Traffic: Interactive and Editable Traffic Scenario Generation for Autonomous Driving with Multimodal Large Language Model
    Zihao Sheng, Zilin Huang, Yansong Qu, and 2 more authors
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2025
  3. Preprint
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    CurricuVLM: Towards Safe Autonomous Driving via Personalized Safety-Critical Curriculum Learning with Vision-Language Models
    Zihao Sheng+, Zilin Huang+Yansong Qu, and 3 more authors
    arXiv preprint arXiv:2502.15119, 2025
  4. Preprint
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    VLM-RL: A Unified Vision Language Models and Reinforcement Learning Framework for Safe Autonomous Driving
    Zilin Huang+, Zihao Sheng+, Yansong Qu+, and 2 more authors
    arXiv preprint arXiv:2412.15544, 2024