SparRL: Graph Sparsification via Deep Reinforcement Learning

Ryan Wickman, Xiaofei Zhang, and Weizi Li

IEEE International Conference on Data Mining (ICDM), 2022

Inverse Reinforcement Learning with Hybrid-weight Trust-region Optimization and Curriculum Learning for Autonomous Maneuvering

Yu Shen, Weizi Li, and Ming C. Lin

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022

Learning to Control DC Motor for Micromobility in Real Time with Reinforcement Learning

Bibek Poudel, Thomas Watson, and Weizi Li

IEEE International Conference on Intelligent Transportation Systems (ITSC), 2022

Data-driven Graph Filter based Graph Convolutional Neural Network Approach for Network-Level Multi-Step Traffic Prediction

Lei Lin, Weizi Li, and Lei Zhu

Transportation Research Board 101st Annual Meeting (TRB), 2022

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

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

Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS), 2021

Black-box Adversarial Attacks on Network-wide Multi-step Traffic State Prediction Models

Bibek Poudel and Weizi Li

IEEE International Conference on Intelligent Transportation Systems (ITSC), 2021

Assessing inequality, irregularity, and severity regarding road traffic safety during COVID-19

Lei Lin, Feng Shi, and Weizi Li

Scientific Reports, 2021

Vehicle Trajectory Prediction Using LSTMs with Spatial-Temporal Attention Mechanisms

Lei Lin, Weizi Li, Huikun Bi, and Lingqiao Qin

IEEE Intelligent Transportation Systems Magazine, 2021

Spatial-temporal Analysis of COVID-19's Impact on Human Mobility: the Case of the United States

Songhe Wang, Kangda Wei, Lei Lin, and Weizi Li

The 20th and 21st Joint COTA International Conference of Transportation Professionals, 2021