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ORCIDHongqiao Wang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j26]Zheng Hu, Hongqiao Wang
, Qingping Zhou:
A MCMC method based on surrogate model and Gaussian process parameterization for infinite Bayesian PDE inversion. J. Comput. Phys. 507: 112970 (2024)- [j25]Tiexin Guo, Hongji Wang, Jinglai Li, Hongqiao Wang:
Sampling-based adaptive design strategy for failure probability estimation. Reliab. Eng. Syst. Saf. 241: 109664 (2024) - [i3]Jingyong Ying, Yaqi Xie, Jiao Li, Hongqiao Wang:
Accurate adaptive deep learning method for solving elliptic problems. CoRR abs/2404.18838 (2024) - 2023
- [i2]Qingping Zhou, Guixian Xu, Zhexin Wen, Hongqiao Wang:
Anderson Accelerated Gauss-Newton-guided deep learning for nonlinear inverse problems with Application to Electrical Impedance Tomography. CoRR abs/2312.12693 (2023) - 2022
- [j24]Ying Zhou, Qingping Zhou, Hongqiao Wang:
Inferring the unknown parameters in differential equation by Gaussian process regression with constraint. Comput. Appl. Math. 41(6) (2022) - [j23]Shuting Gu, Hongqiao Wang, Xiang Zhou:
Active Learning for Saddle Point Calculation. J. Sci. Comput. 93(2): 78 (2022) - 2021
- [j22]Ling Wang, Hongqiao Wang, Guangyuan Fu:
Multiple Kernel Learning With Minority Oversampling for Classifying Imbalanced Data. IEEE Access 9: 565-580 (2021) - [j21]Ling Wang, Hongqiao Wang, Guangyuan Fu:
Multi-Nyström Method Based on Multiple Kernel Learning for Large Scale Imbalanced Classification. Comput. Intell. Neurosci. 2021: 9911871:1-9911871:11 (2021) - [j20]Shaolei Zhang, Guangyuan Fu, Hongqiao Wang, Yuqing Zhao:
Spectral recovery-guided hyperspectral super-resolution using transfer learning. IET Image Process. 15(11): 2656-2665 (2021) - [j19]Yuqing Zhao, Guangyuan Fu, Hongqiao Wang, Shaolei Zhang, Min Yue:
Generative Adversarial Network-Based Edge-Preserving Superresolution Reconstruction of Infrared Images. Int. J. Digit. Multim. Broadcast. 2021: 5519508:1-5519508:12 (2021) - [j18]Tengchao Yu, Hongqiao Wang, Jinglai Li:
Maximum Conditional Entropy Hamiltonian Monte Carlo Sampler. SIAM J. Sci. Comput. 43(5): A3607-A3626 (2021) - [j17]Shaolei Zhang, Guangyuan Fu, Hongqiao Wang, Yuqing Zhao:
Degradation learning for unsupervised hyperspectral image super-resolution based on generative adversarial network. Signal Image Video Process. 15(8): 1695-1703 (2021) - [c10]Shaolei Zhang, Guangyuan Fu, Hongqiao Wang, Yuqing Zhao:
Deep Multi-scale Recursive Residual Attention Network for Spectral Super Resolution. ICIAI 2021: 26-31 - [c9]Mian Wang, Hongqiao Wang, Ling Wang:
Adversarial Examples Generation And Attack On SAR Image Classification. ICIAI 2021: 87-91 - [c8]Hongqiao Wang:
SAR image ship target detection based on sea-land segmentation and YOLO anchor free. ICMV 2021: 120840Q - [i1]Shuting Gu, Hongqiao Wang, Xiang Zhou:
Active Learning for Transition State Calculation. CoRR abs/2108.04698 (2021) - 2020
- [j16]Min Yue, Guangyuan Fu, Ming Wu, Hongqiao Wang:
Semi-Supervised Monocular Depth Estimation Based on Semantic Supervision. J. Intell. Robotic Syst. 100(2): 455-463 (2020) - [j15]Shaolei Zhang, Guangyuan Fu, Hongqiao Wang, Yuqing Zhao, Carlos Michel:
Superpixel Spectral Unmixing for Hyperspectral Image Superresolution Using a Coupled Encoder-Decoder Network. J. Sensors 2020: 8886178:1-8886178:8 (2020)
2010 – 2019
- 2019
- [j14]Wenbing Zhao, Yonghong Peng, Kun Hua, Peng Shi, Hongqiao Wang:
IEEE Access Special Section Editorial: Human-Centered Smart Systems and Technologies. IEEE Access 7: 185469-185475 (2019) - [j13]Lixia Zhao, Lei Zhang, Shuguang Zheng, Cheng Zhao, Hongqiao Wang, Chunhui Liu, Xu Chu:
Using the Area Ratio to Differentiate Between Benign and Malignant Breast Lesions: Ultrasound Strain Elastography versus Contrast Enhanced Ultrasound. J. Medical Imaging Health Informatics 9(4): 744-749 (2019) - [j12]Ning Chen, Fuchun Sun, Linge Ding, Hongqiao Wang:
An adaptive PNN-DS approach to classification using multi-sensor information fusion. Neural Comput. Appl. 31(S-2): 693-705 (2019) - [j11]Qingchao Wang, Guangyuan Fu, Hongqiao Wang, Linlin Li, Shuai Huang:
Soft-clustering-based local multiple kernel learning algorithm for classification. Soft Comput. 23(11): 3697-3706 (2019) - [c7]Junyi Yao, Hongqiao Wang, Ling Wang, Guangyuan Fu:
High Precision Classification of Hyperspectral Image Based on A Hierarchical Localized Multiple Kernel Learning Method. CISP-BMEI 2019: 1-5 - 2018
- [j10]Hongqiao Wang, Yan-Ning Cai, Guangyuan Fu, Ming Wu, Zhenhua Wei:
Data-driven fault prediction and anomaly measurement for complex systems using support vector probability density estimation. Eng. Appl. Artif. Intell. 67: 1-13 (2018) - [j9]Wenbing Zhao, Jinsong Wu, Peng Shi, Hongqiao Wang:
Intelligent sensing and decision making in smart technologies. Int. J. Distributed Sens. Networks 14(11) (2018) - [j8]Hongqiao Wang, Jinglai Li:
Adaptive Gaussian Process Approximation for Bayesian Inference with Expensive Likelihood Functions. Neural Comput. 30(11) (2018) - [j7]Qingchao Wang, Guangyuan Fu, Linlin Li, Hongqiao Wang, Yongqiang Li:
Data-dependent multiple kernel learning algorithm based on soft-grouping. Pattern Recognit. Lett. 112: 111-117 (2018) - [c6]Hongqiao Wang, Yan-Ning Cai, Junyi Yao, Shaolei Zhang, Guangyuan Fu:
SAR Image Fast Online ATR Based on Visual Attention and Scale Analysis. ICCSIP (1) 2018: 143-154 - 2016
- [j6]Hongqiao Wang, Guang Lin, Jinglai Li:
Gaussian process surrogates for failure detection: A Bayesian experimental design approach. J. Comput. Phys. 313: 247-259 (2016) - [j5]Hongqiao Wang, Yan-Ning Cai, Guangyuan Fu, Shicheng Wang:
Robust Automatic Target Recognition Algorithm for Large-Scene SAR Images and Its Adaptability Analysis on Speckle. Sci. Program. 2016: 3801053:1-3801053:11 (2016) - [c5]Guangyuan Fu, Qingchao Wang, Hongqiao Wang, Dongying Bai:
Group based non-sparse localized multiple kernel learning algorithm for image classification. CCIS 2016: 191-195 - [c4]Hongqiao Wang, Yan-Ning Cai, Guangyuan Fu, Ming Wu:
Visual-Cognition-Driven SAR Multiple Targets Robust Feature Extraction, Recognition and Tracking. ICCSIP 2016: 100-112 - 2015
- [c3]Hongqiao Wang, Guangyuan Fu, Yan-Ning Cai, Shicheng Wang:
Multiple feature fusion based image classification using a non-biased multi-scale kernel machine. FSKD 2015: 700-704 - 2012
- [c2]Yan-Ning Cai, Xuemei Ye, Hongqiao Wang, Qinggang Fan:
Uncoupled mixture probability density estimation based on an improved support vector machine model. ICNC 2012: 126-129 - 2011
- [j4]Hongqiao Wang, Yan-Ning Cai, Fuchun Sun:
A non-biased form of least squares support vector classifier and its fast online learning. Neural Comput. Appl. 20(7): 1075-1085 (2011) - 2010
- [j3]Hongqiao Wang, Fuchun Sun, Yan-Ning Cai, Linge Ding, Ning Chen:
An unbiased LSSVM model for classification and regression. Soft Comput. 14(2): 171-180 (2010) - [j2]Hongqiao Wang, Fuchun Sun, Yan-Ning Cai, Zongtao Zhao:
Online chaotic time series prediction using unbiased composite kernel machine via Cholesky factorization. Soft Comput. 14(9): 931-944 (2010)
2000 – 2009
- 2009
- [j1]Ning Chen, Fuchun Sun, Linge Ding, Hongqiao Wang:
An adaptive PNN-DS approach to classification using multi-sensor information fusion. Neural Comput. Appl. 18(5): 455-467 (2009) - 2008
- [c1]Linge Ding, Fuchun Sun, Hongqiao Wang, Ning Chen:
A Sparse Sampling Method for Classification Based on Likelihood Factor. ISNN (2) 2008: 268-275
Coauthor Index
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