Jingzhong Fang

According to our database, Jingzhong Fang authored at least 15 papers between 2019 and 2026.

Collaborative distances:

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

2026

A Novel Phase-Aware Neural Network Framework for Fault Detection in Multiphase Processes via Feature Augmentation and Phase Discrimination.

Yimeng He, Zidong Wang, Weibo Liu, Jingzhong Fang, Linwei Chen, Zhihuan Song

IEEE CAA J. Autom. Sinica, April, 2026

Label-Noise-Resistant Time-Series Classification With Self-Supervised Label Correction.

Yimeng He, Zidong Wang, Weibo Liu, Jingzhong Fang, Linwei Chen, Zhihuan Song

IEEE Trans. Ind. Informatics, February, 2026

Learning With Noisy Labels for Industrial Time Series Outlier Detection: A Transformer-Embedded Contrastive Learning Framework.

Jingzhong Fang, Zidong Wang, Weibo Liu, Nianyin Zeng, Yimeng He, Yu Cao, Linwei Chen, Xiaohui Liu

IEEE Trans. Ind. Informatics, February, 2026

First-Principles Study on the Mechanical and Thermodynamic Properties of (NbZrHfTi)C High-Entropy Ceramics.

Yonggang Tong, Kai Yang, Pengfei Li, Yongle Hu, Xiubing Liang, Jian Liu, Yejun Li, Jingzhong Fang

Comput. Mater. Continua, 2026

2025

YOLO-ELWNet: A lightweight object detection network.

Baoye Song, Jianyu Chen, Weibo Liu, Jingzhong Fang, Yani Xue, Xiaohui Liu

Neurocomputing, 2025

2024

A New Particle Swarm Optimization Algorithm for Outlier Detection: Industrial Data Clustering in Wire Arc Additive Manufacturing.

Jingzhong Fang, Zidong Wang, Weibo Liu, Stanislao Lauria, Nianyin Zeng, Camilo Prieto, Fredrik Sikström, Xiaohui Liu

IEEE Trans Autom. Sci. Eng., April, 2024

An optimized CNN-BiLSTM network for bearing fault diagnosis under multiple working conditions with limited training samples.

Baoye Song, Yiyan Liu, Jingzhong Fang, Weibo Liu, Maiying Zhong, Xiaohui Liu

Neurocomputing, March, 2024

An Extended H_i/H_∞ Optimization Approach to Dynamic Event-Triggered Fault Detection for a Class of Nonlinear Systems.

Xiaoqiang Zhu, Maiying Zhong, Ting Xue, Jingzhong Fang

IEEE Trans. Instrum. Meas., 2024

Class Imbalance Wafer Defect Pattern Recognition Based on Shared-Database Decentralized Federated Learning Framework.

Yong Zhang, Rukai Lan, Xianhe Li, Jingzhong Fang, Zuowei Ping, Weibo Liu, Zidong Wang

IEEE Trans. Instrum. Meas., 2024

A new particle-swarm-optimization-assisted deep transfer learning framework with applications to outlier detection in additive manufacturing.

Jingzhong Fang, Zidong Wang, Weibo Liu, Linwei Chen, Xiaohui Liu

Eng. Appl. Artif. Intell., 2024

2023

A two-stage integrated method for early prediction of remaining useful life of lithium-ion batteries.

Guijun Ma, Zidong Wang, Weibo Liu, Jingzhong Fang, Yong Zhang, Han Ding, Ye Yuan

Knowl. Based Syst., 2023

Estimating the State of Health for Lithium-ion Batteries: A Particle Swarm Optimization-Assisted Deep Domain Adaptation Approach.

Guijun Ma, Zidong Wang, Weibo Liu, Jingzhong Fang, Yong Zhang, Han Ding, Ye Yuan

IEEE CAA J. Autom. Sinica, 2023

2021

Fault detection for a class of linear systems with integral measurements.

Xiaoqiang Zhu, Yang Liu, Jingzhong Fang, Maiying Zhong

Sci. China Inf. Sci., 2021

2020

Biased Minimax Probability Machine-Based Adaptive Regression for Online Analysis of Gasoline Property.

Kaixun He, Maiying Zhong, Jingzhong Fang, Yiran Li

IEEE Trans. Ind. Informatics, 2020

2019

The Parity Space-based Fault Detection for Linear Discrete Time Systems with Integral Measurements.

Xiaoqiang Zhu, Jingzhong Fang, Maiying Zhong, Yang Liu

Proceedings of the CAA Symposium on Fault Detection, 2019