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Hongqiao Wang
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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
Sampling-based adaptive design strategy for failure probability estimation. Reliab. Eng. Syst. Saf. 241: 109664 (2024) - [i2]Jingyong Ying, Yaqi Xie, Jiao Li, Hongqiao Wang:
Accurate adaptive deep learning method for solving elliptic problems. CoRR abs/2404.18838 (2024) - 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
Active Learning for Saddle Point Calculation. J. Sci. Comput. 93(2): 78 (2022) - 2021
- [j22]Ling Wang
Multiple Kernel Learning With Minority Oversampling for Classifying Imbalanced Data. IEEE Access 9: 565-580 (2021) - [j21]Ling Wang
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
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
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
Semi-Supervised Monocular Depth Estimation Based on Semantic Supervision. J. Intell. Robotic Syst. 100(2): 455-463 (2020) - [j15]Shaolei Zhang
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
IEEE Access Special Section Editorial: Human-Centered Smart Systems and Technologies. IEEE Access 7: 185469-185475 (2019) - [j13]Lixia Zhao, Lei Zhang, Shuguang Zheng
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
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
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
Gaussian process surrogates for failure detection: A Bayesian experimental design approach. J. Comput. Phys. 313: 247-259 (2016) - [j5]Hongqiao 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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