Liang Chen

According to our database, Liang Chen authored at least 17 papers between 2014 and 2025.

Collaborative distances:

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

2025

Hierarchical Isomerism Distributed Equivalent Union Find for Billion-Scale Disjoint Sets: A Case Study.

Liang Chen, Pingchuan Ma, Kai Liu, Liping Yang, Seán F. McLoone, Yuanjun Miao, Hongbo Liu

Data Sci. Eng., December, 2025

I2KEN: Intra-Domain and Inter-Domain Knowledge Enhancement Network for Lifelong Loop Closure Detection.

Hongwei Qian, Sheng Jin, Liang Chen

IEEE Robotics Autom. Lett., September, 2025

2024

Metric Learning-Based Few-Shot Adversarial Domain Adaptation: A Cross-Machine Diagnosis Method for Ball Screws of Industrial Robots.

Qitong Chen, Liang Chen, Qi Li, Juanjuan Shi, Dong Wang, Changqing Shen

IEEE Trans. Instrum. Meas., 2024

Fault diagnosis for ball screws in industrial robots under variable and inaccessible working conditions with non-vibration signals.

Qitong Chen, Qi Li, Sijia Wu, Liang Chen, Changqing Shen

Adv. Eng. Informatics, 2024

Few-shot Metric Adversarial Adaptation for Cross-machine Fault Diagnosis.

Qitong Chen, Hong Zhuang, Yueyuan Zhang, Liang Chen, Qi Li

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2023

Cross-domain augmentation diagnosis: An adversarial domain-augmented generalization method for fault diagnosis under unseen working conditions.

Qi Li, Liang Chen, Lin Kong, Dong Wang, Min Xia, Changqing Shen

Reliab. Eng. Syst. Saf., June, 2023

A real-time semantic visual SLAM for dynamic environment based on deep learning and dynamic probabilistic propagation.

Liang Chen, Zhi Ling, Yu Gao, Rongchuan Sun, Sheng Jin

Complex Intell. Syst., 2023

2022

A Lifelong Learning Method for Gearbox Diagnosis With Incremental Fault Types.

Bojian Chen, Changqing Shen, Dong Wang, Lin Kong, Liang Chen, Zhongkui Zhu

IEEE Trans. Instrum. Meas., 2022

Adversarial Domain-Invariant Generalization: A Generic Domain-Regressive Framework for Bearing Fault Diagnosis Under Unseen Conditions.

Liang Chen, Qi Li, Changqing Shen, Jun Zhu, Dong Wang, Min Xia

IEEE Trans. Ind. Informatics, 2022

2021

Towards a Robust Visual Place Recognition in Large-Scale vSLAM Scenarios Based on a Deep Distance Learning.

Liang Chen, Sheng Jin, Zhoujun Xia

Sensors, 2021

2020

Improved Deep Distance Learning for Visual Loop Closure Detection in Smart City.

Sheng Jin, Yu Gao, Liang Chen

Peer-to-Peer Netw. Appl., 2020

A novel vSLAM framework with unsupervised semantic segmentation based on adversarial transfer learning.

Sheng Jin, Liang Chen, Rongchuan Sun, Seán F. McLoone

Appl. Soft Comput., 2020

An Intelligent Deep Feature Learning Method With Improved Activation Functions for Machine Fault Diagnosis.

Wei You, Changqing Shen, Dong Wang, Liang Chen, Xingxing Jiang, Zhongkui Zhu

IEEE Access, 2020

Adversarial multi-domain adaptation for machine fault diagnosis with variable working conditions.

Qi Li, Shuangjie Liu, Bingru Yang, Yiyun Xu, Liang Chen, Changqing Shen

Proceedings of the 18th IEEE International Conference on Industrial Informatics, 2020

2018

An End-to-End Model Based on Improved Adaptive Deep Belief Network and Its Application to Bearing Fault Diagnosis.

Jiaqi Xie, Guifu Du, Changqing Shen, Nan Chen, Liang Chen, Zhongkui Zhu

IEEE Access, 2018

2016

Combinatorial Structural Clustering (CSC): A Novel Structural Clustering Approach for Large Scale Networks.

Liang Chen, Hongbo Liu, Weishi Zhang, Bo Zhang

Proceedings of the Intelligent Systems Design and Applications, 2016

2014

Sparse ICA Based on Infinite Norm for fMRI Analysis.

Liang Chen, Shigang Feng, Weishi Zhang, Aboul Ella Hassanien, Hongbo Liu

Proceedings of the Advanced Machine Learning Technologies and Applications, 2014