Gradient-free adversarial training against image corruption for learning-based steering Y Shen, L Zheng, M Shu, W Li, T Goldstein, M Lin Advances in Neural Information Processing Systems 34, 26250-26263, 2021 | 35 | 2021 |
Enhanced transfer learning for autonomous driving with systematic accident simulation S Akhauri, LY Zheng, MC Lin 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 21 | 2020 |
Improving generalization of transfer learning across domains using spatio-temporal features in autonomous driving S Akhauri, L Zheng, T Goldstein, M Lin arXiv preprint arXiv:2103.08116, 2021 | 10 | 2021 |
Gradient informed proximal policy optimization S Son, L Zheng, R Sullivan, YL Qiao, M Lin Advances in Neural Information Processing Systems 36, 2024 | 5 | 2024 |
Towards Driving Policies with Personality: Modeling Behavior and Style in Risky Scenarios via Data Collection in Virtual Reality L Zheng, J Poveda, J Mullen, S Revankar, MC Lin arXiv preprint arXiv:2303.04901, 2023 | 2 | 2023 |
Traffic-Aware Autonomous Driving with Differentiable Traffic Simulation L Zheng, S Son, MC Lin 2023 IEEE International Conference on Robotics and Automation (ICRA), 3517-3523, 2023 | 1 | 2023 |
Using Transformer Networks and Knowledge Graphs in Earth Science Literature to Synthesize Mass Information for Transdisciplinary Research LY Zheng, A Albayrak, WL Teng, MG Khayat, L Pham AGU Fall Meeting Abstracts 2020, IN030-04, 2020 | 1 | 2020 |
TRAVERSE: Traffic-Responsive Autonomous Vehicle Experience & Rare-event Simulation for Enhanced safety S Thalapanane, SSS Kumar, GNAD Peethambari, S SriHari, L Zheng, ... arXiv preprint arXiv:2407.09466, 2024 | | 2024 |
Sensitivity-Informed Augmentation for Robust Segmentation L Zheng, W Wei, T Wu, J Clements, S Revankar, A Harrison, Y Shen, ... arXiv preprint arXiv:2406.01425, 2024 | | 2024 |
Deep Stochastic Kinematic Models for Probabilistic Motion Forecasting in Traffic L Zheng, S Son, J Liang, X Wang, B Clipp, MC Lin arXiv preprint arXiv:2406.01431, 2024 | | 2024 |
Task-Driven Domain-Agnostic Learning with Information Bottleneck for Autonomous Steering Y Shen, L Zheng, T Zhou, C Lin 2024 IEEE International Conference on Robotics and Automation (ICRA), 6858-6865, 2024 | | 2024 |
Towards a Domain-Informed Search Engine for NASA Earth Science Data WL Teng, A Albayrak, LY Zheng, A Kumar, L Wu, L Pham, MG Khayat, ... AGU Fall Meeting 2020, 2020 | | 2020 |
Understanding Machine Learning in Earth Science: A Natural Language Processing Approach L Zheng, A Albayrak, W Teng, M Khayat, L Pham American Geophysical Union (AGU) Fall Meeting 2019, 2019 | | 2019 |
Developing a Machine-Learning-Based Processing Framework for Twitter and Other Crowdsourced Data W Teng, A Albayrak, L Zheng, R Li, M Russo, L Pham AGU 2019 Fall Meeting, 2019 | | 2019 |
Exploring Contrastive Learning with Attention for Self-Driving Generalization L Zheng, Y Shen, MC Lin | | |