Ruonan Liu

According to our database, Ruonan Liu authored at least 24 papers between 2016 and 2024.

Collaborative distances:

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

2024

Causal-Trivial Attention Graph Neural Network for Fault Diagnosis of Complex Industrial Processes.

Hao Wang, Ruonan Liu, Steven X. Ding, Qinghua Hu, Zengxiang Li, Hongkuan Zhou

IEEE Trans. Ind. Informatics, February, 2024

2023

Online Handwritten Signature Verification Method Based on Uni-Feature Correlation Coefficient between Signatures.

Ruonan Liu, Yizhong Xin

Sensors, December, 2023

Interaction-Aware Graph Neural Networks for Fault Diagnosis of Complex Industrial Processes.

Dongyue Chen, Ruonan Liu, Qinghua Hu, Steven X. Ding

IEEE Trans. Neural Networks Learn. Syst., September, 2023

Coarse-to-Fine: Progressive Knowledge Transfer-Based Multitask Convolutional Neural Network for Intelligent Large-Scale Fault Diagnosis.

Yu Wang, Ruonan Liu, Di Lin, Dongyue Chen, Ping Li, Qinghua Hu, C. L. Philip Chen

IEEE Trans. Neural Networks Learn. Syst., February, 2023

2022

Task-Sequencing Meta Learning for Intelligent Few-Shot Fault Diagnosis With Limited Data.

Yidan Hu, Ruonan Liu, Xianling Li, Dongyue Chen, Qinghua Hu

IEEE Trans. Ind. Informatics, 2022

Majorities help minorities: Hierarchical structure guided transfer learning for few-shot fault recognition.

Hao Chen, Ruonan Liu, Zongxia Xie, Qinghua Hu, Jianhua Dai, Junhai Zhai

Pattern Recognit., 2022

Generative Status Estimation and Information Decoupling for Image Rain Removal.

Di Lin, Xin Wang, Jia Shen, Renjie Zhang, Ruonan Liu, Miaohui Wang, Wuyuan Xie, Qing Guo, Ping Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A fault diagnosis method in industrial processes with integrated feature space and optimized random forest.

Zhenyu Deng, Te Han, Ruonan Liu, Fengyao Zhi

Proceedings of the 31st IEEE International Symposium on Industrial Electronics, 2022

Self-supervised Contrastive Learning Approach for Bearing Fault Diagnosis with Rare Labeled Data.

Jianghai Chen, Boyuan Yang, Ruonan Liu

Proceedings of the 31st IEEE International Symposium on Industrial Electronics, 2022

2021

Novel Bearing Fault Diagnosis Algorithm Based on the Method of Moments for Stochastic Resonant Systems.

Yu-Xuan Fu, Yanmei Kang, Ruonan Liu

IEEE Trans. Instrum. Meas., 2021

Cascade Convolutional Neural Network With Progressive Optimization for Motor Fault Diagnosis Under Nonstationary Conditions.

Fei Wang, Ruonan Liu, Qinghua Hu, Xuefeng Chen

IEEE Trans. Ind. Informatics, 2021

Hermite-Hadamard type inequalities for harmonical $ (h1, h2)- $convex interval-valued functions.

Ruonan Liu, Run Xu

Math. Found. Comput., 2021

Target detection algorithm based on CNN and its FPGA implementation.

Yan Yan, Yonghui Zhang, Jian Zhang, Ruonan Liu

Proceedings of the ICIAI 2021: 2021 the 5th International Conference on Innovation in Artificial Intelligence, 2021

2020

Simultaneous Bearing Fault Recognition and Remaining Useful Life Prediction Using Joint-Loss Convolutional Neural Network.

Ruonan Liu, Boyuan Yang, Alexander G. Hauptmann

IEEE Trans. Ind. Informatics, 2020

Multiscale Kernel Based Residual Convolutional Neural Network for Motor Fault Diagnosis Under Nonstationary Conditions.

Ruonan Liu, Fei Wang, Boyuan Yang, Si-Zhao Joe Qin

IEEE Trans. Ind. Informatics, 2020

Strategy for Improving Target Selection Accuracy in Indirect Touch Input.

Yizhong Xin, Ruonan Liu, Yan Li

IEICE Trans. Inf. Syst., 2020

2019

Remaining Useful Life Prediction Based on a Double-Convolutional Neural Network Architecture.

Boyuan Yang, Ruonan Liu, Enrico Zio

IEEE Trans. Ind. Electron., 2019

Stochastic Resonance and Bifurcation of Order Parameter in a Coupled System of Underdamped Duffing Oscillators.

Ruonan Liu, Yanmei Kang, Yu-Xuan Fu, Guanrong Chen

Int. J. Bifurc. Chaos, 2019

An Adaptive Density Peaks Clustering Method With Fisher Linear Discriminant.

Lin Sun, Ruonan Liu, Jiucheng Xu, Shiguang Zhang

IEEE Access, 2019

2018

Sparse Time-Frequency Representation for Incipient Fault Diagnosis of Wind Turbine Drive Train.

Boyuan Yang, Ruonan Liu, Xuefeng Chen

IEEE Trans. Instrum. Meas., 2018

An Affinity Propagation Clustering Method Using Hybrid Kernel Function With LLE.

Lin Sun, Ruonan Liu, Jiucheng Xu, Shiguang Zhang, Yun Tian

IEEE Access, 2018

2017

Fault Diagnosis for a Wind Turbine Generator Bearing via Sparse Representation and Shift-Invariant K-SVD.

Boyuan Yang, Ruonan Liu, Xuefeng Chen

IEEE Trans. Ind. Informatics, 2017

Dislocated Time Series Convolutional Neural Architecture: An Intelligent Fault Diagnosis Approach for Electric Machine.

Ruonan Liu, Guotao Meng, Boyuan Yang, Chuang Sun, Xuefeng Chen

IEEE Trans. Ind. Informatics, 2017

2016

Fault diagnosis of wind turbine using local mean decomposition and synchrosqueezing transforms.

Yanjie Guo, Xuefeng Chen, Shibin Wang, Xiang Li, Ruonan Liu

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2016