Laura Zheng

According to our database, Laura Zheng authored at least 12 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Quantifying and Modeling Driving Styles in Trajectory Forecasting.

Laura Zheng, Hamidreza Yaghoubi Araghi, Tony Wu, Sandeep Thalapanane, Tianyi Zhou, Ming C. Lin

CoRR, March, 2025

Gradient-Based Trajectory Optimization with Parallelized Differentiable Traffic Simulation.

Sanghyun Son, Laura Zheng, Brian Clipp, Connor Greenwell, Sujin Philip, Ming C. Lin

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

DISC: Dataset for Analyzing Driving Styles in Simulated Crashes for Mixed Autonomy.

Sandip Sharan Senthil Kumar, Sandeep Thalapanane, Guru Nandhan Appiya Dilipkumar Peethambari, Sourang SriHari, Laura Zheng, Ming C. Lin

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

2024

Deep Stochastic Kinematic Models for Probabilistic Motion Forecasting in Traffic.

Laura Zheng, Sanghyun Son, Jing Liang, Xijun Wang, Brian Clipp, Ming C. Lin

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

TRAVERSE: Traffic-Responsive Autonomous Vehicle Experience & Rare-event Simulation for Enhanced safety.

Sandeep Thalapanane, Sandip Sharan Senthil Kumar, Guru Nandhan Appiya Dilipkumar Peethambari, Sourang SriHari, Laura Zheng, Julio Poveda, Ming C. Lin

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Task-Driven Domain-Agnostic Learning with Information Bottleneck for Autonomous Steering.

Yu Shen, Laura Zheng, Tianyi Zhou, Ming C. Lin

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Towards Driving Policies with Personality: Modeling Behavior and Style in Risky Scenarios via Data Collection in Virtual Reality.

Laura Zheng, Julio Poveda, James Mullen, Shreelekha Revankar, Ming C. Lin

CoRR, 2023

Traffic-Aware Autonomous Driving with Differentiable Traffic Simulation.

Laura Zheng, Sanghyun Son, Ming C. Lin

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2021

Improving Generalization of Transfer Learning Across Domains Using Spatio-Temporal Features in Autonomous Driving.

Shivam Akhauri, Laura Zheng, Tom Goldstein, Ming C. Lin

CoRR, 2021

Improving Robustness of Learning-based Autonomous Steering Using Adversarial Images.

Yu Shen, Laura Zheng, Manli Shu, Weizi Li, Tom Goldstein, Ming C. Lin

CoRR, 2021

Gradient-Free Adversarial Training Against Image Corruption for Learning-based Steering.

Yu Shen, Laura Zheng, Manli Shu, Weizi Li, Tom Goldstein, Ming C. Lin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Enhanced Transfer Learning for Autonomous Driving with Systematic Accident Simulation.

Shivam Akhauri, Laura Zheng, Ming C. Lin

CoRR, 2020