Pedestrian detection and localization using 3D range data. - Bin Li; Jiadong Shi; Minghe Cao; Rongkai Zhang 001; Jianzhong Wang (ROBIO, 2016)

Constrained Model Predictive Control using Kinematic Model of Vehicle Platooning in VISSIM Simulator. - Rongkai Zhang 001; Anuj Abraham; Soumya Dasgupta; Justin Dauwels (ICARCV, 2018)

Analysis of Packet drops and Channel Crowding in Vehicle Platooning using V2X communication. - Nagacharan Teja Tangirala; Anuj Abraham; Apratim Choudhury; Pranjal Vyas; Rongkai Zhang 001; Justin Dauwels (SSCI, 2018)

Deep Reinforcement Learning for Traveling Salesman Problem with Time Windows and Rejections. - Rongkai Zhang 001; Anatolii Prokhorchuk; Justin Dauwels (IJCNN, 2020)

R3L: Connecting Deep Reinforcement Learning To Recurrent Neural Networks For Image Denoising Via Residual Recovery. - Rongkai Zhang 001; Jiang Zhu; Zhiyuan Zha; Justin Dauwels; Bihan Wen (ICIP, 2021)

ReLLIE: Deep Reinforcement Learning for Customized Low-Light Image Enhancement. - Rongkai Zhang 001; Lanqing Guo; Siyu Huang; Bihan Wen (ACM Multimedia, 2021)

REPNP: Plug-and-Play with Deep Reinforcement Learning Prior for Robust Image Restoration. - Chong Wang 011; Rongkai Zhang 001; Saiprasad Ravishankar; Bihan Wen (ICIP, 2022)

Deep Reinforcement Learning Based Unrolling Network for MRI Reconstruction. - Chong Wang 011; Rongkai Zhang 001; Gabriel Maliakal; Saiprasad Ravishankar; Bihan Wen (ISBI, 2023)

Learning to Solve Multiple-TSP With Time Window and Rejections via Deep Reinforcement Learning. - Rongkai Zhang 001; Cong Zhang; Zhiguang Cao; Wen Song; Puay Siew Tan; Jie Zhang 002; Bihan Wen; Justin Dauwels (IEEE Trans. Intell. Transp. Syst., 2023)