Junmin Zhong

According to our database, Junmin Zhong authored at least 15 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Fast, accurate measurement of the worker populations of honey bee colonies using deep learning.

Junmin Zhong, Jon F. Harrison, Jennie Si, Jun Chen

CoRR, December, 2025

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., June, 2025

Personalized Reinforcement Learning Control of Soft Robotic Exosuit for Assisting Human Normative Walking with Reduced Effort.

Emiliano Quiñones Yumbla, Junmin Zhong, Seyed Yousef Soltanian, Jennie Si, Wenlong Zhang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Reinforcement Learning Control of a Physical Robot Device for Assisted Human Walking without a Simulator.

Junmin Zhong, Emiliano Quiñones Yumbla, Seyed Yousef Soltanian, Ruofan Wu, Wenlong Zhang, Jennie Si

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

A survey on deep learning-based camouflaged object detection.

Junmin Zhong, Anzhi Wang, Chunhong Ren, Jintao Wu

Multim. Syst., October, 2024

Actor-Critic Reinforcement Learning with Phased Actor.

Ruofan Wu, Junmin Zhong, Jennie Si

CoRR, 2024

Attention and Boundary Induced Feature Refinement Network for Camouflaged Object Detection.

Junmin Zhong, Anzhi Wang

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Learning Time-Optimal Control of Gantry Cranes.

Junmin Zhong, Daniel Nikovski, William Yerazunis, Taishi Ando

Proceedings of the International Conference on Machine Learning and Applications, 2024

Memory-Based Learning of Global Control Policies from Local Controllers.

Daniel Nikovski, Junmin Zhong, William Yerazunis

Proceedings of the 21st International Conference on Informatics in Control, 2024

Memory-Based Global Iterative Linear Quadratic Control.

Daniel Nikovski, Junmin Zhong, William Yerazunis

Proceedings of the 10th International Conference on Control, 2024

2023

Mitigating Estimation Errors by Twin TD-Regularized Actor and Critic for Deep Reinforcement Learning.

Junmin Zhong, Ruofan Wu, Jennie Si

CoRR, 2023

A Long N-step Surrogate Stage Reward for Deep Reinforcement Learning.

Junmin Zhong, Ruofan Wu, Jennie Si

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Long N-step Surrogate Stage Reward to Reduce Variances of Deep Reinforcement Learning in Complex Problems.

Junmin Zhong, Ruofan Wu, Jennie Si

CoRR, 2022

Human-Robotic Prosthesis as Collaborating Agents for Symmetrical Walking.

Ruofan Wu, Junmin Zhong, Brent Wallace, Xiang Gao, He Huang, Jennie Si

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022