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ORCIDHao Ren 0005
Person information
- affiliation: Peng Cheng Laboratory, Department of Strategic and Advanced Interdisciplinary Research, Shenzhen, China
- affiliation (2019-2020): Huawei Technologies Co., Ltd., Edge Innovation Lab, Shenzhen, China
- affiliation (PhD 2019): Chongqing University, Department of control science and control engineering, China
Other persons with the same name
- Hao Ren — disambiguation page
- Hao Ren 0001
![[0000-0001-7909-3753]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-7909-3753")
— University of Electronic Science and Technology of China, School of Computer Science and Engineering, Guangdong, China - Hao Ren 0002 — Fudan University, Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, China
- Hao Ren 0003 — Chinese Academy of Sciences, Shenzhen Institute of Advanced Technology, China (and 1 more)
- Hao Ren 0004 — Honeywell Aerospace Advanced Technology, Plymouth, MN, USA (and 1 more)
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2020 – today
- 2024
[j9]Hao Ren, Chunhua Yang, Bei Sun, Xiaojun Liang, Weihua Gui:
Knowledge-Data-Based Synchronization States Analysis for Process Monitoring and Its Application to Hydrometallurgical Zinc Purification Process. IEEE Trans. Ind. Informatics 20(1): 546-559 (2024)- 2023
- [j8]Hao Ren, Zhiwen Chen, Xiaojun Liang, Chunhua Yang, Weihua Gui:
Association Hierarchical Representation Learning for Plant-Wide Process Monitoring by Using Multilevel Knowledge Graph. IEEE Trans. Artif. Intell. 4(4): 636-649 (2023) - [c2]Cunnian Gao, Hao Ren, Wei Cui, Xiaojun Liang, Chunhua Yang, Weihua Gui, Bei Sun, Keke Huang:
An Ontology for Industrial Intelligent Model Library and Its Distributed Computing Application. ICONIP (11) 2023: 65-76 - [c1]Changwei Liu, Hao Ren, Nan Zhou, Guoqiang Li, Xiaojun Liang, Weihua Gui, Chunhua Yang:
Industry-Oriented Lightweight Simulation System. ICPADS 2023: 1099-1106 - 2022
- [i1]Hao Ren, Chunhua Yang, Xiaojun Liang, Zhiwen Chen, Weihua Gui:
Spatial-temporal associations representation and application for process monitoring using graph convolution neural network. CoRR abs/2205.05250 (2022) - 2021
- [j7]Lei Huang, Hao Ren, Yi Chai, Jianfeng Qu:
A fault detection method based on stacking the SAE-SRBM for nonstationary and stationary hybrid processes. Int. J. Appl. Math. Comput. Sci. 31(1): 29-43 (2021) - [j6]Qiu Tang, Benqi Li, Yi Chai, Jianfeng Qu, Hao Ren:
Improved sparse representation based on local preserving projection for the fault diagnosis of multivariable system. Sci. China Inf. Sci. 64(2) (2021) - [j5]Hao Ren, Zhiwen Chen, Zhaohui Jiang, Chunhua Yang, Weihua Gui:
An Industrial Multilevel Knowledge Graph-Based Local-Global Monitoring for Plant-Wide Processes. IEEE Trans. Instrum. Meas. 70: 1-15 (2021) - 2020
- [j4]Lei Huang, Yiming Wang, Jianfeng Qu, Hao Ren:
A Fault Diagnosis Methodology Based on Non-Stationary Monitoring Signals by Extracting Features With Unknown Probability Distribution. IEEE Access 8: 59821-59836 (2020)
2010 – 2019
- 2019
- [j3]Hao Ren, Nan Li, Yi Chai, Jianfeng Qu, Qiu Tang, Lei Huang:
The input pattern problem on deep learning applied to signal analysis and processing to achieve fault diagnosis. Sci. China Inf. Sci. 62(12): 229202 (2019) - 2018
- [j2]Hao Ren, Yi Chai, Jianfeng Qu, Xin Ye, Qiu Tang:
A novel adaptive fault detection methodology for complex system using deep belief networks and multiple models: A case study on cryogenic propellant loading system. Neurocomputing 275: 2111-2125 (2018) - [j1]Junjie Ji, Jianfeng Qu, Yi Chai, Yuming Zhou, Qiu Tang, Hao Ren:
An algorithm for sensor fault diagnosis with EEMD-SVM. Trans. Inst. Meas. Control 40(6): 1746-1756 (2018)
Coauthor Index
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