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Rong Yao
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2020 – today
- 2022
- [j12]Rong Yao, Jiayue Xue, Haifang Li, Qianshan Wang, Hongxia Deng, Shuping Tan:
Dynamics and synchronization control in schizophrenia for EEG signals. Biomed. Signal Process. Control. 71(Part): 103118 (2022) - 2021
- [j11]Chongdang Liu
, Linxuan Zhang
, Rong Yao
, Cheng Wu
:
Dual Attention-Based Temporal Convolutional Network for Fault Prognosis Under Time-Varying Operating Conditions. IEEE Trans. Instrum. Meas. 70: 1-10 (2021) - 2020
- [j10]Chongdang Liu, Linxuan Zhang, Jiahe Niu, Rong Yao, Cheng Wu:
Intelligent prognostics of machining tools based on adaptive variational mode decomposition and deep learning method with attention mechanism. Neurocomputing 417: 239-254 (2020) - [j9]Xiaofeng Yang
, Zhe Wang, Hongxia Deng, Haifang Li, Rong Yao, Peng Gao
, Saddam naji abdu Nasher:
Recognizing Image Semantic Information Through Multi-Feature Fusion and SSAE-Based Deep Network. J. Medical Syst. 44(2): 46 (2020)
2010 – 2019
- 2019
- [c8]Haifang Li, Xiong Yang, Rong Yao, Pengfei Yang, Zhe Wang:
Difference Analysis of Brain Network Working Memory Data with EEG Sub-Sequence Feature Vector as Node. BigDataService 2019: 122-130 - [c7]Haifang Li, Zhe Wang, Guimei Yin, Hongxia Deng, Xiaofeng Yang
, Rong Yao, Peng Gao
, Rui Cao:
A Multi-feature Fusion and SSAE-Based Deep Network for Image Semantic Recognition. BigDataService 2019: 322-327 - [c6]Chongdang Liu, Rong Yao, Linxuan Zhang, Yuan Liao:
Attention Based Echo State Network: A Novel Approach for Fault Prognosis. ICMLC 2019: 489-493 - [c5]Rong Yao, Chongdang Liu, Linxuan Zhang, Peng Peng:
Unsupervised Anomaly Detection Using Variational Auto-Encoder based Feature Extraction. ICPHM 2019: 1-7 - [c4]Chongdang Liu, Linxuan Zhang, Jiahe Niu, Rong Yao, Cheng Wu:
Prognostics for Rotating Machinery Using Variational Mode Decomposition and Long Short-Term Memory Network. SMC 2019: 7-12 - 2016
- [j8]Xiaowei Zhang, Ruoxia Li, Chao Han, Rong Yao:
Robust stability analysis of uncertain genetic regulatory networks with mixed time delays. Int. J. Mach. Learn. Cybern. 7(6): 1005-1022 (2016) - 2015
- [j7]Huaiqin Wu, Ruoxia Li, Rong Yao, Xiaowei Zhang:
Weak, modified and function projective synchronization of chaotic memristive neural networks with time delays. Neurocomputing 149: 667-676 (2015) - [j6]Huaiqin Wu, Xiaowei Zhang, Ruoxia Li, Rong Yao:
Adaptive anti-synchronization and H∞ anti-synchronization for memristive neural networks with mixed time delays and reaction-diffusion terms. Neurocomputing 168: 726-740 (2015) - [j5]Huaiqin Wu, Xiaowei Zhang, Ruoxia Li, Rong Yao:
Finite-time synchronization of chaotic neural networks with mixed time-varying delays and stochastic disturbance. Memetic Comput. 7(3): 231-240 (2015) - [j4]Huaiqin Wu, Xiaowei Zhang, Ruoxia Li, Rong Yao:
Adaptive exponential synchronization of delayed Cohen-Grossberg neural networks with discontinuous activations. Int. J. Mach. Learn. Cybern. 6(2): 253-263 (2015) - [j3]Huaiqin Wu, Ruoxia Li, Hongzhi Wei, Xiaowei Zhang, Rong Yao:
Synchronization of a class of memristive neural networks with time delays via sampled-data control. Int. J. Mach. Learn. Cybern. 6(3): 365-373 (2015) - [j2]Huaiqin Wu, Ruoxia Li, Xiaowei Zhang, Rong Yao:
Adaptive Finite-Time Complete Periodic Synchronization of Memristive Neural Networks with Time Delays. Neural Process. Lett. 42(3): 563-583 (2015) - 2014
- [j1]Wandaliz Torres-García, Siyuan Zheng
, Andrey Sivachenko, Rahulsimham Vegesna, Qianghu Wang, Rong Yao, Michael F. Berger, John N. Weinstein
, Gad Getz, Roel G. W. Verhaak:
PRADA: pipeline for RNA sequencing data analysis. Bioinform. 30(15): 2224-2226 (2014)
2000 – 2009
- 2009
- [c3]Rong Yao, Hong-yuan Huang, Hong Zhang:
The Fuzzy Reliability Analysis for the Lining of Crack Control of the Subsea Tunnel. ICFIE 2009: 1165-1171
1990 – 1999
- 1997
- [c2]Stephen Y. H. Su, Rong Yao:
Fault-Tolerant Array Processors Via Reconfiguration of Two-Level Redundancy Arrays. PDPTA 1997: 1633-1642
1980 – 1989
- 1988
- [c1]Tinghuai Chen, Tai Kang, Rong Yao:
The connectivity of hypergraph and the design of fault-tolerant multibus systems. FTCS 1988: 374-379
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