Hongqiao Wang

According to our database, Hongqiao Wang authored at least 36 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Sampling-based adaptive design strategy for failure probability estimation.

Tiexin Guo, Hongji Wang, Jinglai Li, Hongqiao Wang

Reliab. Eng. Syst. Saf., January, 2024

2023

Anderson Accelerated Gauss-Newton-guided deep learning for nonlinear inverse problems with Application to Electrical Impedance Tomography.

Qingping Zhou, Guixian Xu, Zhexin Wen, Hongqiao Wang

CoRR, 2023

2022

Inferring the unknown parameters in differential equation by Gaussian process regression with constraint.

Ying Zhou, Qingping Zhou, Hongqiao Wang

Comput. Appl. Math., September, 2022

Active Learning for Saddle Point Calculation.

Shuting Gu, Hongqiao Wang, Xiang Zhou

J. Sci. Comput., 2022

2021

Degradation learning for unsupervised hyperspectral image super-resolution based on generative adversarial network.

Shaolei Zhang, Guangyuan Fu, Hongqiao Wang, Yuqing Zhao

Signal Image Video Process., 2021

Maximum Conditional Entropy Hamiltonian Monte Carlo Sampler.

Tengchao Yu, Hongqiao Wang, Jinglai Li

SIAM J. Sci. Comput., 2021

Generative Adversarial Network-Based Edge-Preserving Superresolution Reconstruction of Infrared Images.

Yuqing Zhao, Guangyuan Fu, Hongqiao Wang, Shaolei Zhang, Min Yue

Int. J. Digit. Multim. Broadcast., 2021

Spectral recovery-guided hyperspectral super-resolution using transfer learning.

Shaolei Zhang, Guangyuan Fu, Hongqiao Wang, Yuqing Zhao

IET Image Process., 2021

Active Learning for Transition State Calculation.

Shuting Gu, Hongqiao Wang, Xiang Zhou

CoRR, 2021

Multi-Nyström Method Based on Multiple Kernel Learning for Large Scale Imbalanced Classification.

Ling Wang, Hongqiao Wang, Guangyuan Fu

Comput. Intell. Neurosci., 2021

Multiple Kernel Learning With Minority Oversampling for Classifying Imbalanced Data.

Ling Wang, Hongqiao Wang, Guangyuan Fu

IEEE Access, 2021

SAR image ship target detection based on sea-land segmentation and YOLO anchor free.

Hongqiao Wang

Proceedings of the Fourteenth International Conference on Machine Vision, 2021

Deep Multi-scale Recursive Residual Attention Network for Spectral Super Resolution.

Shaolei Zhang, Guangyuan Fu, Hongqiao Wang, Yuqing Zhao

Proceedings of the ICIAI 2021: 2021 the 5th International Conference on Innovation in Artificial Intelligence, 2021

Adversarial Examples Generation And Attack On SAR Image Classification.

Mian Wang, Hongqiao Wang, Ling Wang

Proceedings of the ICIAI 2021: 2021 the 5th International Conference on Innovation in Artificial Intelligence, 2021

2020

Superpixel Spectral Unmixing for Hyperspectral Image Superresolution Using a Coupled Encoder-Decoder Network.

Shaolei Zhang, Guangyuan Fu, Hongqiao Wang, Yuqing Zhao, Carlos Michel

J. Sensors, 2020

Semi-Supervised Monocular Depth Estimation Based on Semantic Supervision.

Min Yue, Guangyuan Fu, Ming Wu, Hongqiao Wang

J. Intell. Robotic Syst., 2020

2019

Soft-clustering-based local multiple kernel learning algorithm for classification.

Qingchao Wang, Guangyuan Fu, Hongqiao Wang, Linlin Li, Shuai Huang

Soft Comput., 2019

Using the Area Ratio to Differentiate Between Benign and Malignant Breast Lesions: Ultrasound Strain Elastography versus Contrast Enhanced Ultrasound.

Lixia Zhao, Lei Zhang, Shuguang Zheng, Cheng Zhao, Hongqiao Wang, Chunhui Liu, Xu Chu

J. Medical Imaging Health Informatics, 2019

IEEE Access Special Section Editorial: Human-Centered Smart Systems and Technologies.

Wenbing Zhao, Yonghong Peng, Kun Hua, Peng Shi, Hongqiao Wang

IEEE Access, 2019

High Precision Classification of Hyperspectral Image Based on A Hierarchical Localized Multiple Kernel Learning Method.

Junyi Yao, Hongqiao Wang, Ling Wang, Guangyuan Fu

Proceedings of the 12th International Congress on Image and Signal Processing, 2019

2018

Data-dependent multiple kernel learning algorithm based on soft-grouping.

Qingchao Wang, Guangyuan Fu, Linlin Li, Hongqiao Wang, Yongqiang Li

Pattern Recognit. Lett., 2018

Adaptive Gaussian Process Approximation for Bayesian Inference with Expensive Likelihood Functions.

Hongqiao Wang, Jinglai Li

Neural Comput., 2018

Intelligent sensing and decision making in smart technologies.

Wenbing Zhao, Jinsong Wu, Peng Shi, Hongqiao Wang

Int. J. Distributed Sens. Networks, 2018

Data-driven fault prediction and anomaly measurement for complex systems using support vector probability density estimation.

Hongqiao Wang, Yan-Ning Cai, Guangyuan Fu, Ming Wu, Zhenhua Wei

Eng. Appl. Artif. Intell., 2018

SAR Image Fast Online ATR Based on Visual Attention and Scale Analysis.

Hongqiao Wang, Yan-Ning Cai, Junyi Yao, Shaolei Zhang, Guangyuan Fu

Proceedings of the Cognitive Systems and Signal Processing - 4th International Conference, 2018

2016

Robust Automatic Target Recognition Algorithm for Large-Scene SAR Images and Its Adaptability Analysis on Speckle.

Hongqiao Wang, Yan-Ning Cai, Guangyuan Fu, Shicheng Wang

Sci. Program., 2016

Gaussian process surrogates for failure detection: A Bayesian experimental design approach.

Hongqiao Wang, Guang Lin, Jinglai Li

J. Comput. Phys., 2016

Visual-Cognition-Driven SAR Multiple Targets Robust Feature Extraction, Recognition and Tracking.

Hongqiao Wang, Yan-Ning Cai, Guangyuan Fu, Ming Wu

Proceedings of the Cognitive Systems and Signal Processing, 2016

Group based non-sparse localized multiple kernel learning algorithm for image classification.

Guangyuan Fu, Qingchao Wang, Hongqiao Wang, Dongying Bai

Proceedings of the 4th International Conference on Cloud Computing and Intelligence Systems, 2016

2015

Multiple feature fusion based image classification using a non-biased multi-scale kernel machine.

Hongqiao Wang, Guangyuan Fu, Yan-Ning Cai, Shicheng Wang

Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015

2012

Uncoupled mixture probability density estimation based on an improved support vector machine model.

Yan-Ning Cai, Xuemei Ye, Hongqiao Wang, Qinggang Fan

Proceedings of the Eighth International Conference on Natural Computation, 2012

2011

A non-biased form of least squares support vector classifier and its fast online learning.

Hongqiao Wang, Yan-Ning Cai, Fuchun Sun

Neural Comput. Appl., 2011

2010

Online chaotic time series prediction using unbiased composite kernel machine via Cholesky factorization.

Hongqiao Wang, Fuchun Sun, Yan-Ning Cai, Zongtao Zhao

Soft Comput., 2010

An unbiased LSSVM model for classification and regression.

Hongqiao Wang, Fuchun Sun, Yan-Ning Cai, Linge Ding, Ning Chen

Soft Comput., 2010

2009

An adaptive PNN-DS approach to classification using multi-sensor information fusion.

Ning Chen, Fuchun Sun, Linge Ding, Hongqiao Wang

Neural Comput. Appl., 2009

2008

A Sparse Sampling Method for Classification Based on Likelihood Factor.

Linge Ding, Fuchun Sun, Hongqiao Wang, Ning Chen

Proceedings of the Advances in Neural Networks, 2008