Laura Y. Zheng

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 9

Top Topics

Transfer Learning

Manifold Alignment

Robust Segmentation

Top Venues

Publications

Laura Y. Zheng, Wenjie Wei, Tony Wu, Jacob Clements, Shreelekha Revankar, Andre Harrison, Yu Shen, Ming C. Lin
Sensitivity-Informed Augmentation for Robust Segmentation. CoRR (2024)
Laura Y. Zheng, Julio Poveda, James Mullen, Shreelekha Revankar, Ming C. Lin
Towards Driving Policies with Personality: Modeling Behavior and Style in Risky Scenarios via Data Collection in Virtual Reality. CoRR (2023)
Laura Y. Zheng, Sanghyun Son, Ming C. Lin
Traffic-Aware Autonomous Driving with Differentiable Traffic Simulation. ICRA (2023)
Laura Y. Zheng, Sanghyun Son, Ming C. Lin
Traffic-Aware Autonomous Driving with Differentiable Traffic Simulation. CoRR (2022)
Yu Shen, Laura Y. Zheng, Manli Shu, Weizi Li, Tom Goldstein, Ming C. Lin
Improving Robustness of Learning-based Autonomous Steering Using Adversarial Images. CoRR (2021)
Shivam Akhauri, Laura Y. Zheng, Tom Goldstein, Ming C. Lin
Improving Generalization of Transfer Learning Across Domains Using Spatio-Temporal Features in Autonomous Driving. CoRR (2021)
Yu Shen, Laura Y. Zheng, Manli Shu, Weizi Li, Tom Goldstein, Ming C. Lin
Gradient-Free Adversarial Training Against Image Corruption for Learning-based Steering. NeurIPS (2021)
Shivam Akhauri, Laura Y. Zheng, Ming C. Lin
Enhanced Transfer Learning for Autonomous Driving with Systematic Accident Simulation. IROS (2020)
Shivam Akhauri, Laura Y. Zheng, Ming C. Lin
Enhanced Transfer Learning for Autonomous Driving with Systematic Accident Simulation. CoRR (2020)