Jiaxian Chen

According to our database, Jiaxian Chen authored at least 15 papers between 2020 and 2024.

Collaborative distances:

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

2024

Knowledge Embedded Autoencoder Network for Harmonic Drive Fault Diagnosis Under Few-Shot Industrial Scenarios.

Jiaxian Chen, Kairu Wen, Jingyan Xia, Ruyi Huang, Zhuyun Chen, Weihua Li

IEEE Internet Things J., July, 2024

A digital twin-driven approach for partial domain fault diagnosis of rotating machinery.

Jingyan Xia, Zhuyun Chen, Jiaxian Chen, Guolin He, Ruyi Huang, Weihua Li

Eng. Appl. Artif. Intell., 2024

LeaderKV: Improving Read Performance of KV Stores via Learned Index and Decoupled KV Table.

Yi Wang, Jianan Yuan, Shangyu Wu, Huan Liu, Jiaxian Chen, Chenlin Ma, Jianbin Qin

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Boosting Write Performance of KV Stores: An NVM - Enabled Storage Collaboration Approach.

Yi Wang, Jiajian He, Kaoyi Sun, Yunhao Dong, Jiaxian Chen, Chenlin Ma, Amelie Chi Zhou, Rui Mao

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Multi-Scale Dilated Convolutional Auto-Encoder Network for Weak Feature Extraction and Health Condition Detection.

Jiaxian Chen, Dongpeng Li, Ruyi Huang, Zhuyun Chen, Weihua Li

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024

2023

Aero-engine remaining useful life prediction method with self-adaptive multimodal data fusion and cluster-ensemble transfer regression.

Jiaxian Chen, Dongpeng Li, Ruyi Huang, Zhuyun Chen, Weihua Li

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

Self-Supervised Deep Domain-Adversarial Regression Adaptation for Online Remaining Useful Life Prediction of Rolling Bearing Under Unknown Working Condition.

Wentao Mao, Jiaxian Chen, Jing Liu, Xihui Liang

IEEE Trans. Ind. Informatics, 2023

Lift: Exploiting Hybrid Stacked Memory for Energy-Efficient Processing of Graph Convolutional Networks.

Jiaxian Chen, Zhaoyu Zhong, Kaoyi Sun, Chenlin Ma, Rui Mao, Yi Wang

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

An Interpretable Deep Transfer Learning-Based Remaining Useful Life Prediction Approach for Bearings With Selective Degradation Knowledge Fusion.

Wentao Mao, Jing Liu, Jiaxian Chen, Xihui Liang

IEEE Trans. Instrum. Meas., 2022

GCIM: Toward Efficient Processing of Graph Convolutional Networks in 3D-Stacked Memory.

Jiaxian Chen, Yiquan Lin, Kaoyi Sun, Jiexin Chen, Chenlin Ma, Rui Mao, Yi Wang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

The Robust Multi-Scale Deep-SVDD Model for Anomaly Online Detection of Rolling Bearings.

Linlin Kou, Jiaxian Chen, Yong Qin, Wentao Mao

Sensors, 2022

Highly Efficient Terahertz Beam-Steerable Integrated Radiator Based on Tunable Boundary Conditions.

Yunfan Wang, Wenhua Chen, Xingcun Li, Jiaxian Chen, Long Chen, Fei Huang, Shuyang Li, Zhaozhuo Wang

IEEE J. Solid State Circuits, 2022

2021

Construction of Health Indicators for Rotating Machinery Using Deep Transfer Learning With Multiscale Feature Representation.

Wentao Mao, Jiaxian Chen, Yuejian Chen, Sajad Saraygord Afshari, Xihui Liang

IEEE Trans. Instrum. Meas., 2021

Towards efficient allocation of graph convolutional networks on hybrid computation-in-memory architecture.

Jiaxian Chen, Guanquan Lin, Jiexin Chen, Yi Wang

Sci. China Inf. Sci., 2021

2020

A New Online Detection Approach for Rolling Bearing Incipient Fault via Self-Adaptive Deep Feature Matching.

Wentao Mao, Jiaxian Chen, Xihui Liang, Xinming Zhang

IEEE Trans. Instrum. Meas., 2020