Shisheng Zhong - Concepedia

Author

Shisheng Zhong

Also Known As

Shi-Sheng Zhong, Shi-sheng Zhong, ShiSheng Zhong, Shisheng ZHONG, Shisheng Zhong, Songfa Zhong, Zhong Shi-Sheng, Zhong Shisheng

189

Publications

3.5K

Citations

H-Index

Concepts

All Affiliations

Harbin Institute of Technology

About

Shisheng Zhong is an author at Harbin Institute of Technology specializing in engineering, machine learning, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	24	34	3K
2	Biostatistics	3	3	309
3	Business	2	2	53
4	Management	2	2	41
5	Social Sciences	1	1	62

Shisheng Zhong

Publications

3.2K

Citations

H-Index

Page 1

	Year	Citations
Deep Residual Shrinkage Networks for Fault Diagnosis Minghang Zhao, Shisheng Zhong, Xuyun Fu, IEEE Transactions on Industrial Informatics Fault DiagnosisConvolutional Neural NetworkDeep Neural NetworksEngineeringMachine Learning	2019	1.3K
A novel gas turbine fault diagnosis method based on transfer learning with CNN Shisheng Zhong, Song Fu, Lin Lin Measurement Fault DiagnosisConvolutional Neural NetworkEngineeringMachine LearningDiagnosis	2019	263
Deep Residual Networks With Adaptively Parametric Rectifier Linear Units for Fault Diagnosis Minghang Zhao, Shisheng Zhong, Xuyun Fu, IEEE Transactions on Industrial Electronics Fault DiagnosisConvolutional Neural NetworkEngineeringMachine LearningAutoencoders	2020	199
Random forests-based extreme learning machine ensemble for multi-regime time series prediction Lin Lin, Fang Wang, Xiaolong Xie, Expert Systems with Applications Forecasting MethodologyEngineeringMachine LearningData ScienceExtreme Learning Machine	2017	128
Deep residual LSTM with domain-invariance for remaining useful life prediction across domains Song Fu, Yongjian Zhang, Lin Lin, Reliability Engineering & System Safety EngineeringMachine LearningData ScienceDeep Residual LstmLife Prediction	2021	105
Genetic algorithm optimized double-reservoir echo state network for multi-regime time series prediction Shisheng Zhong, Xiaolong Xie, Lin Lin, Neurocomputing EngineeringGenetic AlgorithmSystems EngineeringReservoir ComputingForecasting	2017	89
A Novel Time-Series Memory Auto-Encoder With Sequentially Updated Reconstructions for Remaining Useful Life Prediction Song Fu, Shisheng Zhong, Lin Lin, IEEE Transactions on Neural Networks and Learning Systems EngineeringMachine LearningLife PredictionAutoencodersFeature Extraction	2021	76
Feature-level SMOTE: Augmenting fault samples in learnable feature space for imbalanced fault diagnosis of gas turbines Dan Liu, Shisheng Zhong, Lin Lin, Expert Systems with Applications Fault DiagnosisReliability EngineeringImbalanced Fault DiagnosisMachine LearningData Science	2023	69
MCA-DTCN: A novel dual-task temporal convolutional network with multi-channel attention for first prediction time detection and remaining useful life prediction Song Fu, Lin Lin, Yue Wang, Reliability Engineering & System Safety Multi-channel AttentionEngineeringMachine LearningData ScienceLife Prediction	2023	63
Adaptive Levenberg–Marquardt Algorithm: A New Optimization Strategy for Levenberg–Marquardt Neural Networks Zhiqi Yan, Shisheng Zhong, Lin Lin, Mathematics Search OptimizationArtificial IntelligenceEngineeringMachine LearningNeural Networks (Machine Learning)	2021	62

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