Laura Yu Zheng

According to our database, Laura Yu Zheng authored at least 9 papers between 2020 and 2024.

Collaborative distances:

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

2024

Deep Stochastic Kinematic Models for Probabilistic Motion Forecasting in Traffic.

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

CoRR, 2024

Sensitivity-Informed Augmentation for Robust Segmentation.

Laura Y. Zheng, Wenjie Wei, Tony Wu, Jacob Clements, Shreelekha Revankar, Andre Harrison, Yu Shen, Ming C. Lin

CoRR, 2024

2023

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

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

CoRR, 2023

Gradient Informed Proximal Policy Optimization.

Sanghyun Son, Laura Yu Zheng, Ryan Sullivan, Yi-Ling Qiao, Ming C. Lin

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Traffic-Aware Autonomous Driving with Differentiable Traffic Simulation.

Laura Y. 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 Y. Zheng, Tom Goldstein, Ming C. Lin

CoRR, 2021

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

Yu Shen, Laura Y. 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 Y. 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 Y. Zheng, Ming C. Lin

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020