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Xiaohu Zheng
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2020 – today
- 2024
- [j20]Yang Xie, Wen Yao, Xingchen Li, Ning Wang, Xiaohu Zheng, Xiaoqian Chen:
Hybrid digital twin for satellite temperature field perception and attitude control. Adv. Eng. Informatics 60: 102405 (2024) - [j19]Ruofan Zhang, Xingchen Li, Wen Yao, Xiaohu Zheng, Ning Wang, Jialiang Sun:
Implicitly physics-informed multi-fidelity physical field data fusion method based on Taylor modal decomposition. Adv. Eng. Informatics 62: 102738 (2024) - [j18]Xiaoyu Zhao, Xiaoqian Chen, Zhiqiang Gong, Wen Yao, Yunyang Zhang, Xiaohu Zheng:
Contrastive enhancement using latent prototype for few-shot segmentation. Digit. Signal Process. 144: 104282 (2024) - [j17]Qiao Li, Wen Yao, Xingchen Li, Zhiqiang Gong, Xiaohu Zheng:
A novel PoI temperature prediction method for heat source system based on graph convolutional networks. Eng. Appl. Artif. Intell. 128: 107482 (2024) - [j16]Yingchun Xu, Wen Yao, Xiaohu Zheng, Jingyi Chen:
A hybrid Monte Carlo quantile EMD-LSTM method for satellite in-orbit temperature prediction and data uncertainty quantification. Expert Syst. Appl. 255: 124875 (2024) - [j15]Xiaohu Zheng, Wen Yao, Yingchun Xu, Ning Wang:
Algorithms for Bayesian network modeling and reliability inference of complex multistate systems with common cause failure. Reliab. Eng. Syst. Saf. 241: 109663 (2024) - [j14]Xiaohu Zheng, Wen Yao, Zhiqiang Gong, Xiaoya Zhang:
Learnable quantile polynomial chaos expansion: An uncertainty quantification method for interval reliability analysis. Reliab. Eng. Syst. Saf. 245: 110036 (2024) - [j13]Zhiqiang Gong, Xian Zhou, Wen Yao, Xiaohu Zheng, Ping Zhong:
HyperDID: Hyperspectral Intrinsic Image Decomposition With Deep Feature Embedding. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [i12]Donghua Wang, Wen Yao, Tingsong Jiang, Xiaohu Zheng, Junqi Wu, Xiaoqian Chen:
Improving the Transferability of Adversarial Examples by Feature Augmentation. CoRR abs/2407.06714 (2024) - 2023
- [j12]Yunyang Zhang, Zhiqiang Gong, Weien Zhou, Xiaoyu Zhao, Xiaohu Zheng, Wen Yao:
Multi-fidelity surrogate modeling for temperature field prediction using deep convolution neural network. Eng. Appl. Artif. Intell. 123(Part B): 106354 (2023) - [j11]Yufeng Xia, Wen Yao, Xiaohu Zheng, Zhiqiang Gong:
Reliability analysis of heat source layout temperature field prediction considering uncertainty in deep neural network surrogate models. Qual. Reliab. Eng. Int. 39(5): 1775-1795 (2023) - [j10]Wen Yao, Xiaohu Zheng, Jun Zhang, Ning Wang, Guijian Tang:
Deep adaptive arbitrary polynomial chaos expansion: A mini-data-driven semi-supervised method for uncertainty quantification. Reliab. Eng. Syst. Saf. 229: 108813 (2023) - [j9]Xiaohu Zheng, Wen Yao, Xiaoya Zhang, Weiqi Qian, Hairui Zhang:
Parameterized coefficient fine-tuning-based polynomial chaos expansion method for sphere-biconic reentry vehicle reliability analysis and design. Reliab. Eng. Syst. Saf. 240: 109568 (2023) - [c6]Qing Liu, Yu Wu, Jing Nie, Yi Li, Xiaohu Zheng, Kang Liu, Ping Wang:
Simplified Monocular Ranging Anomalous Behaviour Detection Model for Security Monitoring Applications. CECNet 2023: 664-671 - [i11]Yunyang Zhang, Zhiqiang Gong, Weien Zhou, Xiaoyu Zhao, Xiaohu Zheng, Wen Yao:
Multi-fidelity surrogate modeling for temperature field prediction using deep convolution neural network. CoRR abs/2301.06674 (2023) - [i10]Zhiqiang Gong, Xian Zhou, Wen Yao, Xiaohu Zheng, Ping Zhong:
HyperDID: Hyperspectral Intrinsic Image Decomposition with Deep Feature Embedding. CoRR abs/2311.14899 (2023) - 2022
- [j8]Xiaohu Zheng, Wen Yao, Yunyang Zhang, Xiaoya Zhang:
Consistency regularization-based deep polynomial chaos neural network method for reliability analysis. Reliab. Eng. Syst. Saf. 227: 108732 (2022) - [c5]Yunyang Zhang, Zhiqiang Gong, Xiaoyu Zhao, Xiaohu Zheng, Wen Yao:
Semi-supervised Semantic Segmentation with Uncertainty-Guided Self Cross Supervision. ACCV (7) 2022: 327-343 - [c4]Xiaohu Zheng, Wen Yao, Zhiqiang Gong, Yunyang Zhang, Xiaoyu Zhao, Tingsong Jiang:
Deep Monte Carlo Quantile Regression for Quantifying Aleatoric Uncertainty in Physics-informed Temperature Field Reconstruction. IJCNN 2022: 1-8 - [i9]Xiaohu Zheng, Wen Yao, Zhiqiang Gong, Yunyang Zhang, Xiaoyu Zhao, Tingsong Jiang:
Deep Monte Carlo Quantile Regression for Quantifying Aleatoric Uncertainty in Physics-informed Temperature Field Reconstruction. CoRR abs/2202.06596 (2022) - [i8]Xiaohu Zheng, Wen Yao, Zhiqiang Gong, Yunyang Zhang, Xiaoya Zhang:
Physics-Informed Deep Monte Carlo Quantile Regression method for Interval Multilevel Bayesian Network-based Satellite Heat Reliability Analysis. CoRR abs/2202.06860 (2022) - [i7]Xiaoyu Zhao, Xiaoqian Chen, Zhiqiang Gong, Wen Yao, Yunyang Zhang, Xiaohu Zheng:
Contrastive Enhancement Using Latent Prototype for Few-Shot Segmentation. CoRR abs/2203.04095 (2022) - [i6]Yunyang Zhang, Zhiqiang Gong, Xiaohu Zheng, Xiaoyu Zhao, Wen Yao:
Semi-supervision semantic segmentation with uncertainty-guided self cross supervision. CoRR abs/2203.05118 (2022) - [i5]Xiaohu Zheng, Wen Yao, Yunyang Zhang, Xiaoya Zhang:
Parameterized Consistency Learning-based Deep Polynomial Chaos Neural Network Method for Reliability Analysis in Aerospace Engineering. CoRR abs/2203.15655 (2022) - [i4]Xiaohu Zheng, Wen Yao, Xiaoqian Chen:
Algorithms for Bayesian network modeling and reliability inference of complex multistate systems: Part II-Dependent systems. CoRR abs/2204.01327 (2022) - [i3]Jialiang Sun, Xiaohu Zheng, Wen Yao, Xiaoya Zhang, Weien Zhou:
Heat Source Layout Optimization Using Automatic Deep Learning Surrogate Model and Multimodal Neighborhood Search Algorithm. CoRR abs/2205.07812 (2022) - [i2]Xu Liu, Wen Yao, Xiaohu Zheng, Yingchun Xu:
Reliability Analysis of Complex Multi-State System Based on Universal Generating Function and Bayesian Network. CoRR abs/2208.04130 (2022) - 2021
- [i1]Xiaohu Zheng, Jun Zhang, Ning Wang, Guijian Tang, Wen Yao:
Mini-data-driven Deep Arbitrary Polynomial Chaos Expansion for Uncertainty Quantification. CoRR abs/2107.10428 (2021) - 2020
- [j7]Xiaohu Zheng, Wen Yao, Yingchun Xu, Xiaoqian Chen:
Algorithms for Bayesian network modeling and reliability inference of complex multistate systems: Part I - Independent systems. Reliab. Eng. Syst. Saf. 202: 107011 (2020) - [j6]Yingchun Xu, Wen Yao, Xiaohu Zheng, Xiaoqian Chen:
An iterative information integration method for multi-level system reliability analysis based on Bayesian Melding Method. Reliab. Eng. Syst. Saf. 204: 107201 (2020) - [c3]Bobo Wang, Xiaohu Zheng, Jinsong Bao, Jie Li:
ss5: A Neural Network-based Energy Consumption Prediction Model for Feature Selection and Paremeter Optimization of Winders. ICNSC 2020: 1-5
2010 – 2019
- 2019
- [j5]Yingchun Xu, Wen Yao, Xiaohu Zheng, Xiaoqian Chen:
Satellite System Design Optimization Based on Bayesian Melding of Multi-Level Multi-Source Lifetime Information. IEEE Access 7: 103505-103516 (2019) - [j4]Xiaohu Zheng, Wen Yao, Yingchun Xu, Xiaoqian Chen:
Complex Satellite Lifetime Optimization Based on Bayesian Network Reliability Compression Inference Algorithm. IEEE Access 7: 175166-175185 (2019) - [j3]Xiaohu Zheng, Wen Yao, Yingchun Xu, Xianqi Chen:
Improved compression inference algorithm for reliability analysis of complex multistate satellite system based on multilevel Bayesian network. Reliab. Eng. Syst. Saf. 189: 123-142 (2019) - 2018
- [j2]Jinsong Bao, Xiaohu Zheng, Jianguo Zhang, Xia Ji, Jie Zhang:
Data-driven process planning for shipbuilding. Artif. Intell. Eng. Des. Anal. Manuf. 32(1): 122-130 (2018) - [c2]Xiaohu Zheng, Xianqi Chen, Wen Yao, Xiaoqian Chen, Longqi Yang, Yazhong Luo:
Multistate Satellite System Reliability Optimization Based on Improved Compression Inference Algorithm and Bayesian Network. CEC 2018: 1-7 - 2017
- [c1]Jinsong Bao, Shiyong Yin, Xiaohu Zheng:
A framework of cyber-physical system for smart cotton production. CASE 2017: 67-73
1990 – 1999
- 1993
- [j1]Songnian Zhou, Xiaohu Zheng, Jingwen Wang, Pierre Delisle:
Utopia: a Load Sharing Facility for Large, Heterogeneous Distributed Computer Systems. Softw. Pract. Exp. 23(12): 1305-1336 (1993)
Coauthor Index
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last updated on 2024-09-10 02:10 CEST by the dblp team
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