Jingwei Zhang

4 papers and 298 indexed citations i.

Jingwei Zhang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Jingwei Zhang has authored 4 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Computer Networks and Communications. Recurrent topics in Jingwei Zhang’s work include Reinforcement Learning in Robotics (2 papers), Transportation Planning and Optimization (1 paper) and Generative Adversarial Networks and Image Synthesis (1 paper). Jingwei Zhang is often cited by papers focused on Reinforcement Learning in Robotics (2 papers), Transportation Planning and Optimization (1 paper) and Generative Adversarial Networks and Image Synthesis (1 paper). Jingwei Zhang collaborates with scholars based in Germany and Hong Kong. Jingwei Zhang's co-authors include Wolfram Burgard, Joschka Boedecker, Jost Tobias Springenberg, Lei Tai, Ming Liu, Yun Peng and D. Büscher and has published in prestigious journals such as IEEE Robotics and Automation Letters, arXiv (Cornell University) and 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).