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Ruonan Liu
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2020 – today
- 2024
- [j26]Ruonan Liu:
Simulation of E-learning in English personalized learning recommendation system based on Markov chain algorithm and adaptive learning algorithm. Entertain. Comput. 51: 100719 (2024) - [j25]Guanghui Li
, Qinghua Huang, Chunying Liu, Guanying Wang, Lingli Guo, Ruonan Liu, Longzhong Liu:
Fully automated diagnosis of thyroid nodule ultrasound using brain-inspired inference. Neurocomputing 582: 127497 (2024) - [j24]Ruonan Liu
, Dong Xiao
, Di Lin
, Weidong Zhang
:
Intelligent Bearing Anomaly Detection for Industrial Internet of Things Based on Auto-Encoder Wasserstein Generative Adversarial Network. IEEE Internet Things J. 11(13): 22869-22879 (2024) - [j23]Ruonan Liu, Yitian Xu
:
A log-based non-convex relaxation regularized regression for robust face recognition. Inf. Sci. 667: 120470 (2024) - [j22]Shuo Ma, Jiangman Li, Ruonan Liu, Qiang Li:
Exponential Stability of Impulsive Stochastic Neutral Neural Networks with Lévy Noise Under Non-Lipschitz Conditions. Neural Process. Lett. 56(4): 208 (2024) - [j21]Ruonan Liu, Quanhu Zhang, Di Lin
, Weidong Zhang, Steven X. Ding:
Causal intervention graph neural network for fault diagnosis of complex industrial processes. Reliab. Eng. Syst. Saf. 251: 110328 (2024) - [j20]Hao Wang, Ruonan Liu
, Steven X. Ding
, Qinghua Hu
, Zengxiang Li
, Hongkuan Zhou
:
Causal-Trivial Attention Graph Neural Network for Fault Diagnosis of Complex Industrial Processes. IEEE Trans. Ind. Informatics 20(2): 1987-1996 (2024) - [j19]Peng Cheng
, Shengwang Ye
, Ruonan Liu
, Shuping He
, Weidong Zhang
:
SMC-Based Bounded Consensus Tracking for Multiagent Systems Under Stochastic DoS Attacks With Applications to Multiple DC Motors. IEEE Trans. Ind. Informatics 20(8): 10074-10083 (2024) - [i1]Xinli Guo, Weidong Zhang, Ruonan Liu, Peng Han, Hongtian Chen:
MotionGS : Compact Gaussian Splatting SLAM by Motion Filter. CoRR abs/2405.11129 (2024) - 2023
- [j18]Ruonan Liu, Yizhong Xin:
Online Handwritten Signature Verification Method Based on Uni-Feature Correlation Coefficient between Signatures. Sensors 23(23): 9341 (2023) - [j17]Yu Wang
, Ruonan Liu
, Di Lin
, Dongyue Chen
, Ping Li
, Qinghua Hu
, C. L. Philip Chen
:
Coarse-to-Fine: Progressive Knowledge Transfer-Based Multitask Convolutional Neural Network for Intelligent Large-Scale Fault Diagnosis. IEEE Trans. Neural Networks Learn. Syst. 34(2): 761-774 (2023) - [j16]Dongyue Chen
, Ruonan Liu, Qinghua Hu
, Steven X. Ding
:
Interaction-Aware Graph Neural Networks for Fault Diagnosis of Complex Industrial Processes. IEEE Trans. Neural Networks Learn. Syst. 34(9): 6015-6028 (2023) - 2022
- [j15]Hao Chen, Ruonan Liu, Zongxia Xie, Qinghua Hu, Jianhua Dai, Junhai Zhai:
Majorities help minorities: Hierarchical structure guided transfer learning for few-shot fault recognition. Pattern Recognit. 123: 108383 (2022) - [j14]Yidan Hu
, Ruonan Liu
, Xianling Li, Dongyue Chen
, Qinghua Hu
:
Task-Sequencing Meta Learning for Intelligent Few-Shot Fault Diagnosis With Limited Data. IEEE Trans. Ind. Informatics 18(6): 3894-3904 (2022) - [c5]Zhenyu Deng, Te Han, Ruonan Liu, Fengyao Zhi:
A fault diagnosis method in industrial processes with integrated feature space and optimized random forest. ISIE 2022: 1170-1173 - [c4]Jianghai Chen, Boyuan Yang, Ruonan Liu:
Self-supervised Contrastive Learning Approach for Bearing Fault Diagnosis with Rare Labeled Data. ISIE 2022: 1190-1194 - [c3]Di Lin, Xin Wang, Jia Shen, Renjie Zhang, Ruonan Liu, Miaohui Wang, Wuyuan Xie, Qing Guo, Ping Li:
Generative Status Estimation and Information Decoupling for Image Rain Removal. NeurIPS 2022 - 2021
- [j13]Ruonan Liu, Run Xu:
Hermite-Hadamard type inequalities for harmonical $ (h1, h2)- $convex interval-valued functions. Math. Found. Comput. 4(2): 89 (2021) - [j12]Fei Wang, Ruonan Liu, Qinghua Hu
, Xuefeng Chen:
Cascade Convolutional Neural Network With Progressive Optimization for Motor Fault Diagnosis Under Nonstationary Conditions. IEEE Trans. Ind. Informatics 17(4): 2511-2521 (2021) - [j11]Yu-Xuan Fu
, Yanmei Kang
, Ruonan Liu
:
Novel Bearing Fault Diagnosis Algorithm Based on the Method of Moments for Stochastic Resonant Systems. IEEE Trans. Instrum. Meas. 70: 1-10 (2021) - [c2]Yan Yan, Yonghui Zhang, Jian Zhang, Ruonan Liu:
Target detection algorithm based on CNN and its FPGA implementation. ICIAI 2021: 99-102 - 2020
- [j10]Yizhong Xin, Ruonan Liu, Yan Li:
Strategy for Improving Target Selection Accuracy in Indirect Touch Input. IEICE Trans. Inf. Syst. 103-D(7): 1703-1709 (2020) - [j9]Ruonan Liu, Boyuan Yang
, Alexander G. Hauptmann:
Simultaneous Bearing Fault Recognition and Remaining Useful Life Prediction Using Joint-Loss Convolutional Neural Network. IEEE Trans. Ind. Informatics 16(1): 87-96 (2020) - [j8]Ruonan Liu, Fei Wang
, Boyuan Yang
, Si-Zhao Joe Qin
:
Multiscale Kernel Based Residual Convolutional Neural Network for Motor Fault Diagnosis Under Nonstationary Conditions. IEEE Trans. Ind. Informatics 16(6): 3797-3806 (2020)
2010 – 2019
- 2019
- [j7]Lin Sun
, Ruonan Liu, Jiucheng Xu
, Shiguang Zhang:
An Adaptive Density Peaks Clustering Method With Fisher Linear Discriminant. IEEE Access 7: 72936-72955 (2019) - [j6]Ruonan Liu, Yanmei Kang
, Yu-Xuan Fu, Guanrong Chen:
Stochastic Resonance and Bifurcation of Order Parameter in a Coupled System of Underdamped Duffing Oscillators. Int. J. Bifurc. Chaos 29(8): 1950108:1-1950108:16 (2019) - [j5]Boyuan Yang
, Ruonan Liu, Enrico Zio
:
Remaining Useful Life Prediction Based on a Double-Convolutional Neural Network Architecture. IEEE Trans. Ind. Electron. 66(12): 9521-9530 (2019) - 2018
- [j4]Lin Sun
, Ruonan Liu, Jiucheng Xu
, Shiguang Zhang, Yun Tian:
An Affinity Propagation Clustering Method Using Hybrid Kernel Function With LLE. IEEE Access 6: 68892-68909 (2018) - [j3]Boyuan Yang
, Ruonan Liu, Xuefeng Chen
:
Sparse Time-Frequency Representation for Incipient Fault Diagnosis of Wind Turbine Drive Train. IEEE Trans. Instrum. Meas. 67(11): 2616-2627 (2018) - 2017
- [j2]Ruonan Liu, Guotao Meng
, Boyuan Yang, Chuang Sun, Xuefeng Chen:
Dislocated Time Series Convolutional Neural Architecture: An Intelligent Fault Diagnosis Approach for Electric Machine. IEEE Trans. Ind. Informatics 13(3): 1310-1320 (2017) - [j1]Boyuan Yang, Ruonan Liu, Xuefeng Chen:
Fault Diagnosis for a Wind Turbine Generator Bearing via Sparse Representation and Shift-Invariant K-SVD. IEEE Trans. Ind. Informatics 13(3): 1321-1331 (2017) - 2016
- [c1]Yanjie Guo, Xuefeng Chen, Shibin Wang
, Xiang Li, Ruonan Liu:
Fault diagnosis of wind turbine using local mean decomposition and synchrosqueezing transforms. I2MTC 2016: 1-6
Coauthor Index
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last updated on 2024-08-23 19:19 CEST by the dblp team
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