Human-Robotic Prosthesis as Collaborating Agents for Symmetrical Walking. - Ruofan Wu; Junmin Zhong; Brent Wallace; Xiang Gao 015; He Huang 002; Jennie Si (NeurIPS, 2022)

Long N-step Surrogate Stage Reward to Reduce Variances of Deep Reinforcement Learning in Complex Problems. - Junmin Zhong; Ruofan Wu; Jennie Si (CoRR, 2022)

Inferring Human-Robot Performance Objectives During Locomotion Using Inverse Reinforcement Learning and Inverse Optimal Control. - Wentao Liu; Junmin Zhong; Ruofan Wu; Bretta L. Fylstra; Jennie Si; He Helen Huang (IEEE Robotics Autom. Lett., 2022)

A Long N-step Surrogate Stage Reward for Deep Reinforcement Learning. - Junmin Zhong; Ruofan Wu; Jennie Si (NeurIPS, 2023)

Mitigating Estimation Errors by Twin TD-Regularized Actor and Critic for Deep Reinforcement Learning. - Junmin Zhong; Ruofan Wu; Jennie Si (CoRR, 2023)

Memory-Based Global Iterative Linear Quadratic Control. - Daniel Nikovski; Junmin Zhong; William Yerazunis (CoDIT, 2024)

Memory-Based Learning of Global Control Policies from Local Controllers. - Daniel Nikovski; Junmin Zhong; William Yerazunis (ICINCO (1), 2024)

Learning Time-Optimal Control of Gantry Cranes. - Junmin Zhong; Daniel Nikovski; William Yerazunis; T. Ando (ICMLA, 2024)

Attention and Boundary Induced Feature Refinement Network for Camouflaged Object Detection. - Junmin Zhong; Anzhi Wang (PRCV (8), 2024)

Actor-Critic Reinforcement Learning with Phased Actor. - Ruofan Wu; Junmin Zhong; Jennie Si (CoRR, 2024)

A survey on deep learning-based camouflaged object detection. - Junmin Zhong; Anzhi Wang; Chunhong Ren; Jintao Wu (Multim. Syst., 2024)

Personalizing Human Gait Entrainment: A Reinforcement Learning Approach to Optimizing Magnitude of Periodic Mechanical Perturbations. - Omik M. Save; Junmin Zhong; Suhrud P. Joglekar; Jennie Si; Hyunglae Lee (IEEE Robotics Autom. Lett., 2025)