Study on kernel partial least squares based key indicator prediction. - Shen Yin; Mingyu Wang 002; Hao Luo 003; Huijun Gao (IECON, 2015)

Kernel PLS based prediction model construction and simulation on theoretical cases. - Mingyu Wang 002; Guoyang Yan; Zhongyang Fei (Neurocomputing, 2015)

Approximation-Based Adaptive Tracking Control for MIMO Nonlinear Systems With Input Saturation. - Qi Zhou 002; Peng Shi 001; Yang Tian; Mingyu Wang 002 (IEEE Trans. Cybern., 2015)

Safe Distributed Lane Change Maneuvers for Multiple Autonomous Vehicles Using Buffered Input Cells. - Mingyu Wang 002; Zijian Wang 003; Shreyasha Paudel; Mac Schwager (ICRA, 2018)

Distributed Collision Avoidance of Multiple Robots with Probabilistic Buffered Voronoi Cells. - Mingyu Wang 002; Mac Schwager (MRS, 2019)

Game Theoretic Planning for Self-Driving Cars in Competitive Scenarios. - Mingyu Wang 002; Zijian Wang 003; John Talbot; J. Christian Gerdes; Mac Schwager (Robotics: Science and Systems, 2019)

Enhancing Game-Theoretic Autonomous Car Racing Using Control Barrier Functions. - Gennaro Notomista; Mingyu Wang 002; Mac Schwager; Magnus Egerstedt (ICRA, 2020)

Game-Theoretic Planning for Risk-Aware Interactive Agents. - Mingyu Wang 002; Negar Mehr; Adrien Gaidon; Mac Schwager (IROS, 2020)

Directional Primitives for Uncertainty-Aware Motion Estimation in Urban Environments. - Ransalu Senanayake; Maneekwan Toyungyernsub; Mingyu Wang 002; Mykel J. Kochenderfer; Mac Schwager (ITSC, 2020)

Maximum-Entropy Multi-Agent Dynamic Games: Forward and Inverse Solutions. - Negar Mehr; Mingyu Wang 002; Mac Schwager (CoRR, 2021)

Game-Theoretic Planning for Self-Driving Cars in Multivehicle Competitive Scenarios. - Mingyu Wang 002; Zijian Wang 003; John Talbot; J. Christian Gerdes; Mac Schwager (IEEE Trans. Robotics, 2021)

Game-Theoretic Planning for Autonomous Driving among Risk-Aware Human Drivers. - Rohan Chandra; Mingyu Wang 002; Mac Schwager; Dinesh Manocha (ICRA, 2022)

Maximum-Entropy Multi-Agent Dynamic Games: Forward and Inverse Solutions. - Negar Mehr; Mingyu Wang 002; Maulik Bhatt; Mac Schwager (IEEE Trans. Robotics, 2023)