Ming Zhang

According to our database, Ming Zhang authored at least 20 papers between 2019 and 2024.

Collaborative distances:

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

2024

Interpretable long-term gait trajectory prediction based on Interpretable-Concatenation former.

Jie Yin, Meng Chen, Chongfeng Zhang, Tao Xue, Ming Zhang, Tao Zhang

Robotica, February, 2024

GPSC-GAN: A Data Enhanced Model for Intelligent Fault Diagnosis.

Pin Lyu, Yihong Cheng, Ming Zhang, Wenbing Yu, Liqiao Xia, Chao Liu

IEEE Trans. Instrum. Meas., 2024

Reliability enhancement of state of health assessment model of lithium-ion battery considering the uncertainty with quantile distribution of deep features.

Ying Zhang, Ming Zhang, Chao Liu, Zhipeng Feng, Yuchun Xu

Reliab. Eng. Syst. Saf., 2024

An ontology and rule-based method for human-robot collaborative disassembly planning in smart remanufacturing.

Youxi Hu, Chao Liu, Ming Zhang, Yuqian Lu, Yu Jia, Yuchun Xu

Robotics Comput. Integr. Manuf., 2024

2023

A Novel Simulated Annealing-Based Hyper-Heuristic Algorithm for Stochastic Parallel Disassembly Line Balancing in Smart Remanufacturing.

Youxi Hu, Chao Liu, Ming Zhang, Yu Jia, Yuchun Xu

Sensors, February, 2023

Semi-Supervised Deep Kernel Active Learning for Material Removal Rate Prediction in Chemical Mechanical Planarization.

Chunpu Lv, Jingwei Huang, Ming Zhang, Huangang Wang, Tao Zhang

Sensors, 2023

Digital-Twin Enabled Online Remaining Useful Life Prediction of PEM Fuel Cell.

Ming Zhang, Tabbi Awotwe, Chao Liu, Amirpiran Amiri, Yuchun Xu

Proceedings of the 28th International Conference on Automation and Computing, 2023

Concatenation-Informer: Pre-Distilling and Concatenation Improve Efficiency and Accuracy.

Jie Yin, Meng Chen, Chongfeng Zhang, Ming Zhang, Tao Xue, Tao Zhang

Proceedings of the 28th International Conference on Automation and Computing, 2023

Att-Sinkhorn: Multimodal Alignment with Sinkhorn-based Deep Attention Architecture.

Qianxia Ma, Ming Zhang, Yan Tang, Zhen Huang

Proceedings of the 28th International Conference on Automation and Computing, 2023

Application of Machine Learning Algorithms in Cold-Rolled Strip Steel Surface Defect Grading Systems.

Tianlun Li, Anrui He, Lingzhi Kong, Ming Zhang, Chao Liu, Xianghong Ma, Yuchun Xu

Proceedings of the 28th International Conference on Automation and Computing, 2023

Ontology-Based Product Modeling for Disassembly Sequence Planning in Remanufacturing.

Youxi Hu, Chao Liu, Ming Zhang, Yuanjun Laili, Yu Jia, Yuchun Xu

Proceedings of the 28th International Conference on Automation and Computing, 2023

An Ontology-Based Product Modelling Method for Smart Remanufacturing.

Youxi Hu, Chao Liu, Ming Zhang, Yuqian Lu, Yu Jia, Yuchun Xu

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022

Development of a Robotic Arm Control Platform for Ultrasonic Testing Inspection in Remanufacturing.

Zezhong Wang, Ming Zhang, Yuchun Xu

Proceedings of the 27th International Conference on Automation and Computing, 2022

Hybrid Gait Recognition Method Based on Phase Trajectory.

Pinjie Li, Tao Xue, Tao Zhang, Huangang Wang, Ming Zhang

Proceedings of the 27th International Conference on Automation and Computing, 2022

A simulated annealing hyper-heuristic algorithm for process planning and scheduling in remanufacturing.

Youxi Hu, Ming Zhang, Chao Liu, Yuchun Xu, Zezhong Wang, Yu Jia

Proceedings of the 27th International Conference on Automation and Computing, 2022

2021

Resonance Impedance Shaping Control of Hip Robotic Exoskeleton.

Tao Xue, Ming Zhang, Jie Yin, Meng Zhang, Ou Bai, Ziwei Wang, Tao Zhang

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Remaining Useful Life Estimation for Turbofan Engine with Transformer-based Deep Architecture.

Qianxia Ma, Ming Zhang, Yuchun Xu, Jingyan Song, Tao Zhang

Proceedings of the 26th International Conference on Automation and Computing, 2021

Boosting Few-Shot Learning with Task-Adaptive Multi-level Mixed Supervision.

Duo Wang, Qianxia Ma, Ming Zhang, Tao Zhang

Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

2020

Wasserstein Distance guided Adversarial Imitation Learning with Reward Shape Exploration.

Ming Zhang, Yawei Wang, Xiaoteng Ma, Li Xia, Jun Yang, Zhiheng Li, Xiu Li

CoRR, 2020

2019

A Deep Transfer Model With Wasserstein Distance Guided Multi-Adversarial Networks for Bearing Fault Diagnosis Under Different Working Conditions.

Ming Zhang, Duo Wang, Weining Lu, Jun Yang, Zhiheng Li, Bin Liang

IEEE Access, 2019