Chong Chen

According to our database, Chong Chen authored at least 32 papers between 2018 and 2025.

Collaborative distances:

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

2025

A multi-scale graph pyramid attention network with knowledge distillation towards edge computing robotic fault diagnosis.

Chong Chen, Tao Wang, Dong Mao, Ying Liu, Lianglun Cheng

Expert Syst. Appl., 2025

Enhanced bearing RUL prediction based on dynamic temporal attention and mixed MLP.

Zhongtian Jin, Chong Chen, Aris A. Syntetos, Ying Liu

Auton. Intell. Syst., 2025

Large language model assisted fine-grained knowledge graph construction for robotic fault diagnosis.

Xingming Liao, Chong Chen, Zhuowei Wang, Ying Liu, Tao Wang, Lianglun Cheng

Adv. Eng. Informatics, 2025

2024

Semi-Supervised Informer for the Compound Fault Diagnosis of Industrial Robots.

Chuanhua Deng, JunJie Song, Chong Chen, Tao Wang, Lianglun Cheng

Sensors, June, 2024

Compact convolutional transformers- generative adversarial network for compound fault diagnosis of industrial robot.

Chong Chen, Tao Wang, Kaijie Lu, Ying Liu, Lianglun Cheng

Eng. Appl. Artif. Intell., 2024

Ontology-Aware Overlapping Event Extraction.

Zhichen Wu, Hongbin Zhang, Lianglun Cheng, Tao Wang, Chong Chen

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Prompt-Based Event Temporal Relation Extraction with Contrastive Learning.

You Chen, Tao Wang, Lianglun Cheng, Chong Chen

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Improving Distantly-Supervised Relation Extraction through Label Prompt.

Guangyu Lin, Hongbin Zhang, Zhenyi Fan, Lianglun Cheng, Zhuowei Wang, Chong Chen

Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

Composited-Nested-Learning with Data Augmentation for Nested Named Entity Recognition.

Xingming Liao, Nankai Lin, Haowen Li, Lianglun Cheng, Zhuowei Wang, Chong Chen

Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

Hierarchical Multi-Frequency Transform for Sequential Recommendation.

Zhenyi Fan, Hongbin Zhang, Guangyu Lin, Lianglun Cheng, Zhuowei Wang, Chong Chen

Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

2023

Research on the construction of event logic knowledge graph of supply chain management.

Jianfeng Deng, Chong Chen, Xinyi Huang, Wenyan Chen, Lianglun Cheng

Adv. Eng. Informatics, April, 2023

Reinforcement learning-based distant supervision relation extraction for fault diagnosis knowledge graph construction under industry 4.0.

Chong Chen, Tao Wang, Yu Zheng, Ying Liu, Haojia Xie, Jianfeng Deng, Lianglun Cheng

Adv. Eng. Informatics, January, 2023

Lightweight Convolutional Transformers Enhanced Meta-Learning for Compound Fault Diagnosis of Industrial Robot.

Chong Chen, Tao Wang, Chao Liu, Yuxin Liu, Lianglun Cheng

IEEE Trans. Instrum. Meas., 2023

Fault Diagnosis for Industrial Robots Based on Informer.

JunJie Song, Chong Chen, Tao Wang, Chuanhua Deng, Lianglun Cheng, Jian Qin

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

Model-Agnostic Meta-Learning for Fault Diagnosis of Industrial Robots.

Yuxin Liu, Chong Chen, Tao Wang, Lianglun Cheng, Jian Qin

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

Distant supervision relation extraction of combination bag with hierarchical attention.

Haojia Xie, Lianglun Cheng, Jianfeng Deng, Chong Chen, Tao Wang

Proceedings of the 15th International Conference on Machine Learning and Computing, 2023

2022

Prediction of Remaining Useful Life Using Fused Deep Learning Models: A Case Study of Turbofan Engines.

Yu Zheng, Xiangyu Bao, Fei Zhao, Chong Chen, Ying Liu, Bo Sun, Haotong Wang

J. Comput. Inf. Sci. Eng., 2022

Fault diagnosis of industrial robot based on dual-module attention convolutional neural network.

Kaijie Lu, Chong Chen, Tao Wang, Lianglun Cheng, Jian Qin

Auton. Intell. Syst., 2022

An attention enhanced dilated CNN approach for cross-axis industrial robotics fault diagnosis.

Yuxin Liu, Chong Chen, Tao Wang, Lianglun Cheng

Auton. Intell. Syst., 2022

Recent advances of AI for engineering service and maintenance.

Chong Chen, Dazhong Wu, Ying Liu

Auton. Intell. Syst., 2022

Implicit Representation of Single-view Reconstruction For Texture-less 6DoF Pose Estimation.

Zian Zheng, Yong Wu, Tao Wang, Chong Chen

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

Fault diagnosis of Elevator Door Machines Based on Deep Convolutional Forest.

Ao Zhang, Chong Chen, Tao Wang, Lianglun Cheng

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

Optimization Method for Collaborative Scheduling of Manufacturing Resources in Mass Customization Mode for Flow Operations.

Haochen Xu, Tao Wang, Chong Chen

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

Collision-free Path Planning For Welding Manipulator Via Deep Reinforcement Learning.

Bo Hu, Tao Wang, Chong Chen, Yintao Xu, Lianglun Cheng

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

Learning Collision-freed Trajectory of welding manipulator based on Safe Reinforcement Learning.

Yintao Xu, Tao Wang, Chong Chen, Bo Hu

Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

A Machine Learning-Based Approach for Elevator Door System Fault Diagnosis.

Taiwang Liang, Chong Chen, Tao Wang, Ao Zhang, Jian Qin

Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

2021

An integrated deep learning-based approach for automobile maintenance prediction with GIS data.

Chong Chen, Ying Liu, Xianfang Sun, Carla Di Cairano-Gilfedder, Scott Titmus

Reliab. Eng. Syst. Saf., 2021

Advances of Digital Twins for Predictive Maintenance.

Yingchao You, Chong Chen, Fu Hu, Ying Liu, Ze Ji

Proceedings of the 3rd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2022), Virtual Event / Upper Austria University of Applied Sciences - Hagenberg Campus, 2021

2020

Predictive maintenance using cox proportional hazard deep learning.

Chong Chen, Ying Liu, Shixuan Wang, Xianfang Sun, Carla Di Cairano-Gilfedder, Scott Titmus, Aris A. Syntetos

Adv. Eng. Informatics, 2020

Automobile Maintenance Modelling Using gcForest.

Chong Chen, Ying Liu, Xianfang Sun, Carla Di Cairano-Gilfedder, Scott Titmus

Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020

2019

Energy consumption modelling using deep learning embedded semi-supervised learning.

Chong Chen, Ying Liu, Maneesh Kumar, Jian Qin, Yunxia Ren

Comput. Ind. Eng., 2019

2018

Extracting topic-sensitive content from textual documents - A hybrid topic model approach.

Yan Liang, Ying Liu, Chong Chen, Zhigang Jiang

Eng. Appl. Artif. Intell., 2018