Hongying Liu

According to our database, Hongying Liu authored at least 105 papers between 2010 and 2025.

Collaborative distances:

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

2025

FedSWA: Improving Generalization in Federated Learning with Highly Heterogeneous Data via Momentum-Based Stochastic Controlled Weight Averaging.

Junkang Liu, Yuanyuan Liu, Fanhua Shang, Hongying Liu, Jin Liu, Wei Feng

CoRR, July, 2025

Completed Feature Disentanglement Learning for Multimodal MRIs Analysis.

Tianling Liu, Hongying Liu, Fanhua Shang, Lequan Yu, Tong Han, Liang Wan

IEEE J. Biomed. Health Informatics, June, 2025

DEs-Inspired Accelerated Unfolded Linearized ADMM Networks for Inverse Problems.

Weixin An, Yuanyuan Liu, Fanhua Shang, Hongying Liu, Licheng Jiao

IEEE Trans. Neural Networks Learn. Syst., March, 2025

Beyond Background Shift: Rethinking Instance Replay in Continual Semantic Segmentation.

Hongmei Yin, Tingliang Feng, Fan Lyu, Fanhua Shang, Hongying Liu, Wei Feng, Liang Wang

CoRR, March, 2025

Casual Inference via Style Bias Deconfounding for Domain Generalization.

Jiaxi Li, Di Lin, Hao Chen, Hongying Liu, Liang Wan, Wei Feng

CoRR, March, 2025

Distillation guided deep unfolding network with frequency hierarchical regularization for low-dose CT image denoising.

Linlin Yang, Hongying Liu, Yuanyuan Liu, Fanhua Shang, Liang Wan, Licheng Jiao

Neurocomputing, 2025

Beyond Background Shift: Rethinking Instance Replay in Continual Semantic Segmentation.

Hongmei Yin, Tingliang Feng, Fan Lyu, Fanhua Shang, Hongying Liu, Wei Feng, Liang Wan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Unsupervised Degradation Representation Aware Transform for Real-World Blind Image Super-Resolution.

Sen Chen, Hongying Liu, Chaowei Fang, Fanhua Shang, Yuanyuan Liu, Liang Wan, Dongmei Jiang, Yaowei Wang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Gradient Correction for White-Box Adversarial Attacks.

Hongying Liu, Zhijin Ge, Zhenyu Zhou, Fanhua Shang, Yuanyuan Liu, Licheng Jiao

IEEE Trans. Neural Networks Learn. Syst., December, 2024

Accelerated Stochastic Variance Reduction Gradient Algorithms for Robust Subspace Clustering.

Hongying Liu, Linlin Yang, Longge Zhang, Fanhua Shang, Yuanyuan Liu, Lijun Wang

Sensors, June, 2024

Arbitrary-scale Super-resolution via Deep Learning: A Comprehensive Survey.

Hongying Liu, Zekun Li, Fanhua Shang, Yuanyuan Liu, Liang Wang, Wei Feng, Radu Timofte

Inf. Fusion, February, 2024

A single frame and multi-frame joint network for 360-degree panorama video super-resolution.

Hongying Liu, Wanhao Ma, Zhubo Ruan, Chaowei Fang, Fanhua Shang, Yuanyuan Liu, Lijun Wang, Chaoli Wang, Dongmei Jiang

Eng. Appl. Artif. Intell., 2024

Robust and Faster Zeroth-Order Minimax Optimization: Complexity and Applications.

Weixin An, Yuanyuan Liu, Fanhua Shang, Hongying Liu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

FedBCGD: Communication-Efficient Accelerated Block Coordinate Gradient Descent for Federated Learning.

Junkang Liu, Fanhua Shang, Yuanyuan Liu, Hongying Liu, Yuangang Li, YunXiang Gong

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

A 3D Unsupervised Domain Adaptation Framework Combining Style Translation and Self-training for Abdominal Organs Segmentation.

Jiaxi Li, Qiang Chen, Haoyu Ding, Hongying Liu, Liang Wan

Proceedings of the Fast, Low-Resource, Accurate Robust Organ and Pan-cancer Segmentation, 2024

SAVSR: Arbitrary-Scale Video Super-Resolution via a Learned Scale-Adaptive Network.

Zekun Li, Hongying Liu, Fanhua Shang, Yuanyuan Liu, Liang Wan, Wei Feng

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Polarimetric Synthetic Aperture Radar Image Classification Based on Double-Channel Convolution Network and Edge-Preserving Markov Random Field.

Junfei Shi, Mengmeng Nie, Shanshan Ji, Cheng Shi, Hongying Liu, Haiyan Jin

Remote. Sens., December, 2023

Lightweight Super-Resolution with Self-Calibrated Convolution for Panoramic Videos.

Fanjie Shang, Hongying Liu, Wanhao Ma, Yuanyuan Liu, Licheng Jiao, Fanhua Shang, Lijun Wang, Zhenyu Zhou

Sensors, 2023

Boosting Adversarial Transferability by Achieving Flat Local Maxima.

Zhijin Ge, Xiaosen Wang, Hongying Liu, Fanhua Shang, Yuanyuan Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Single-Loop Accelerated Extra-Gradient Difference Algorithm with Improved Complexity Bounds for Constrained Minimax Optimization.

Yuanyuan Liu, Fanhua Shang, Weixin An, Junhao Liu, Hongying Liu, Zhouchen Lin

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer.

Zhijin Ge, Fanhua Shang, Hongying Liu, Yuanyuan Liu, Liang Wan, Wei Feng, Xiaosen Wang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Adaptive Non-Local Generative Adversarial Networks for Low-Dose CT Image Denoising.

Linlin Yang, Hongying Liu, Fanhua Shang, Yuanyuan Liu

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Efficient Gradient Support Pursuit With Less Hard Thresholding for Cardinality-Constrained Learning.

Fanhua Shang, Bingkun Wei, Hongying Liu, Yuanyuan Liu, Pan Zhou, Maoguo Gong

IEEE Trans. Neural Networks Learn. Syst., 2022

Asynchronous Parallel, Sparse Approximated SVRG for High-Dimensional Machine Learning.

Fanhua Shang, Hua Huang, Jun Fan, Yuanyuan Liu, Hongying Liu, Jianhui Liu

IEEE Trans. Knowl. Data Eng., 2022

Laplacian Smoothing Stochastic ADMMs With Differential Privacy Guarantees.

Yuanyuan Liu, Jiacheng Geng, Fanhua Shang, Weixin An, Hongying Liu, Qi Zhu, Wei Feng

IEEE Trans. Inf. Forensics Secur., 2022

Loopless Variance Reduced Stochastic ADMM for Equality Constrained Problems in IoT Applications.

Yuanyuan Liu, Jiacheng Geng, Fanhua Shang, Weixin An, Hongying Liu, Qi Zhu

IEEE Internet Things J., 2022

Multi-label classification of fundus images with graph convolutional network and LightGBM.

Kai Sun, Mengjia He, Yao Xu, Qinying Wu, Zichun He, Wang Li, Hongying Liu, Xitian Pi

Comput. Biol. Medicine, 2022

EfficientNet embedded with spatial attention for recognition of multi-label fundus disease from color fundus photographs.

Kai Sun, Mengjia He, Zichun He, Hongying Liu, Xitian Pi

Biomed. Signal Process. Control., 2022

Video super-resolution based on deep learning: a comprehensive survey.

Hongying Liu, Zhubo Ruan, Peng Zhao, Chao Dong, Fanhua Shang, Yuanyuan Liu, Linlin Yang, Radu Timofte

Artif. Intell. Rev., 2022

Balanced Gradient Penalty Improves Deep Long-Tailed Learning.

Dong Wang, Yicheng Liu, Liangji Fang, Fanhua Shang, Yuanyuan Liu, Hongying Liu

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

A Numerical DEs Perspective on Unfolded Linearized ADMM Networks for Inverse Problems.

Weixin An, Yingjie Yue, Yuanyuan Liu, Fanhua Shang, Hongying Liu

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

PWPROP: A Progressive Weighted Adaptive Method for Training Deep Neural Networks.

Dong Wang, Tao Xu, Huatian Zhang, Fanhua Shang, Hongying Liu, Yuanyuan Liu, Shengmei Shen

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Kill a Bird with Two Stones: Closing the Convergence Gaps in Non-Strongly Convex Optimization by Directly Accelerated SVRG with Double Compensation and Snapshots.

Yuanyuan Liu, Fanhua Shang, Weixin An, Hongying Liu, Zhouchen Lin

Proceedings of the International Conference on Machine Learning, 2022

Multi Recursive Residual Dense Attention GAN for Perceptual Image Super Resolution.

Linlin Yang, Hongying Liu, Yiming Li, Wenhao Zhou, Yuanyuan Liu, Xiaobiao Di, Lei Wang, Chuanwen Li

Proceedings of the Intelligence Science IV - 5th IFIP TC 12 International Conference, 2022

HNO: High-Order Numerical Architecture for ODE-Inspired Deep Unfolding Networks.

Lin Kong, Wei Sun, Fanhua Shang, Yuanyuan Liu, Hongying Liu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Differentially Private ADMM Algorithms for Machine Learning.

Fanhua Shang, Tao Xu, Yuanyuan Liu, Hongying Liu, Longjie Shen, Maoguo Gong

IEEE Trans. Inf. Forensics Secur., 2021

Deep Fuzzy Graph Convolutional Networks for PolSAR Imagery Pixelwise Classification.

Hongying Liu, Tianwen Zhu, Fanhua Shang, Yuanyuan Liu, Derui Lv, Shuyuan Yang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Graph Convolutional Networks by Architecture Search for PolSAR Image Classification.

Hongying Liu, Derong Xu, Tianwen Zhu, Fanhua Shang, Yuanyuan Liu, Jianhua Lu, Ri Yang

Remote. Sens., 2021

Accelerated Variance Reduction Stochastic ADMM for Large-Scale Machine Learning.

Yuanyuan Liu, Fanhua Shang, Hongying Liu, Lin Kong, Licheng Jiao, Zhouchen Lin

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Learned Interpretable Residual Extragradient ISTA for Sparse Coding.

Lin Kong, Wei Sun, Fanhua Shang, Yuanyuan Liu, Hongying Liu

CoRR, 2021

Quantized Neural Networks via {-1, +1} Encoding Decomposition and Acceleration.

Qigong Sun, Xiufang Li, Fanhua Shang, Hongying Liu, Kang Yang, Licheng Jiao, Zhouchen Lin

CoRR, 2021

Recognizing lung cancer and stages using a self-developed electronic nose system.

Ke Chen, Lei Liu, Bo Nie, Binchun Lu, Lidan Fu, Zichun He, Wang Li, Xitian Pi, Hongying Liu

Comput. Biol. Medicine, 2021

A Novel Learned Primal-Dual Network for Image Compressive Sensing.

Chaolong Zhang, Yuanyuan Liu, Fanhua Shang, Yangyang Li, Hongying Liu

IEEE Access, 2021

Efficient Asynchronous Semi-Stochastic Block Coordinate Descent Methods for Large-Scale SVD.

Fanhua Shang, Zhihui Zhang, Yuanyuan Liu, Hongying Liu, Jing Xu

IEEE Access, 2021

Principal component analysis in the stochastic differential privacy model.

Fanhua Shang, Zhihui Zhang, Tao Xu, Yuanyuan Liu, Hongying Liu

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Progressive Semantic Matching for Video-Text Retrieval.

Hongying Liu, Ruyi Luo, Fanhua Shang, Mantang Niu, Yuanyuan Liu

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Behavior Mimics Distribution: Combining Individual and Group Behaviors for Federated Learning.

Hua Huang, Fanhua Shang, Yuanyuan Liu, Hongying Liu

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling.

Hongying Liu, Peng Zhao, Zhubo Ruan, Fanhua Shang, Yuanyuan Liu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Learned Extragradient ISTA with Interpretable Residual Structures for Sparse Coding.

Yangyang Li, Lin Kong, Fanhua Shang, Yuanyuan Liu, Hongying Liu, Zhouchen Lin

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Sparse Manifold-Regularized Neural Networks for Polarimetric SAR Terrain Classification.

Hongying Liu, Fanhua Shang, Shuyuan Yang, Maoguo Gong, Tianwen Zhu, Licheng Jiao

IEEE Trans. Neural Networks Learn. Syst., 2020

VR-SGD: A Simple Stochastic Variance Reduction Method for Machine Learning.

Fanhua Shang, Kaiwen Zhou, Hongying Liu, James Cheng, Ivor W. Tsang, Lijun Zhang, Dacheng Tao, Licheng Jiao

IEEE Trans. Knowl. Data Eng., 2020

Stochastic Recursive Gradient Support Pursuit and Its Sparse Representation Applications.

Fanhua Shang, Bingkun Wei, Yuanyuan Liu, Hongying Liu, Shuang Wang, Licheng Jiao

Sensors, 2020

Hybrid Network with Attention Mechanism for Detection and Location of Myocardial Infarction Based on 12-Lead Electrocardiogram Signals.

Lidan Fu, Binchun Lu, Bo Nie, Zhiyun Peng, Hongying Liu, Xitian Pi

Sensors, 2020

Semi-Supervised Deep Metric Learning Networks for Classification of Polarimetric SAR Data.

Hongying Liu, Ruyi Luo, Fanhua Shang, Xuechun Meng, Shuiping Gou, Biao Hou

Remote. Sens., 2020

Boosting Gradient for White-Box Adversarial Attacks.

Hongying Liu, Zhenyu Zhou, Fanhua Shang, Xiaoyu Qi, Yuanyuan Liu, Licheng Jiao

CoRR, 2020

A Single Frame and Multi-Frame Joint Network for 360-degree Panorama Video Super-Resolution.

Hongying Liu, Zhubo Ruan, Chaowei Fang, Peng Zhao, Fanhua Shang, Yuanyuan Liu, Lijun Wang

CoRR, 2020

Video Super Resolution Based on Deep Learning: A comprehensive survey.

Hongying Liu, Zhubo Ruan, Peng Zhao, Fanhua Shang, Linlin Yang, Yuanyuan Liu

CoRR, 2020

Recognizing lung cancer using a homemade e-nose: A comprehensive study.

Wang Li, Ziru Jia, Dandan Xie, Ke Chen, Jianguo Cui, Hongying Liu

Comput. Biol. Medicine, 2020

SSCV-GANs: Semi-Supervised Complex-Valued GANs for PolSAR Image Classification.

Xiufang Li, Qigong Sun, Lingling Li, Xu Liu, Hongying Liu, Licheng Jiao, Fang Liu

IEEE Access, 2020

2019

A Novel Framework with High Diagnostic Sensitivity for Lung Cancer Detection by Electronic Nose.

Binchun Lu, Lidan Fu, Bo Nie, Zhiyun Peng, Hongying Liu

Sensors, 2019

Fast Semisupervised Classification Using Histogram-Based Density Estimation for Large-Scale Polarimetric SAR Data.

Hongying Liu, Feixiang Wang, Shuyuan Yang, Biao Hou, Licheng Jiao, Ri Yang

IEEE Geosci. Remote. Sens. Lett., 2019

Efficient Relaxed Gradient Support Pursuit for Sparsity Constrained Non-convex Optimization.

Fanhua Shang, Bingkun Wei, Hongying Liu, Yuanyuan Liu, Jiacheng Zhuo

CoRR, 2019

CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor Segmentation.

Hongying Liu, Xiongjie Shen, Fanhua Shang, Fei Wang

CoRR, 2019

CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor Segmentation.

Hongying Liu, Xiongjie Shen, Fanhua Shang, Feihang Ge, Fei Wang

Proceedings of the Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy, 2019

signADAM++: Learning Confidences for Deep Neural Networks.

Dong Wang, Yicheng Liu, Wenwo Tang, Fanhua Shang, Hongying Liu, Qigong Sun, Licheng Jiao

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Efficient Parallel Stochastic Variance Reduction Algorithms for Large-Scale SVD.

Fanhua Shang, Zhihui Zhang, Yuying An, Yang Hu, Hongying Liu

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

A Novel Deep Framework for Change Detection of Multi-source Heterogeneous Images.

Hongying Liu, Zhongshu Wang, Fanhua Shang, Mingyang Zhang, Maoguo Gong, Feihang Ge, Licheng Jiao

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

A Stochastic Variance Reduced Extragradient Method for Sparse Machine Learning Problems.

Lin Kong, Xiaying Bai, Yang Hu, Fanhua Shang, Yuanyuan Liu, Hongying Liu

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Loopless Semi-Stochastic Gradient Descent with Less Hard Thresholding for Sparse Learning.

Xiangyang Liu, Bingkun Wei, Fanhua Shang, Hongying Liu

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Semi-Supervised Tensorial Locally Linear Embedding for Feature Extraction Using PolSAR Data.

Hongying Liu, Zhi Wang, Fanhua Shang, Shuyuan Yang, Shuiping Gou, Licheng Jiao

IEEE J. Sel. Top. Signal Process., 2018

Terrain classification based on spatial multi-attribute graph using Polarimetric SAR data.

Hongying Liu, Shuyuan Yang, Shuiping Gou, Shuai Liu, Licheng Jiao

Appl. Soft Comput., 2018

2017

Superpixel-Based Multiple Local CNN for Panchromatic and Multispectral Image Classification.

Wei Zhao, Licheng Jiao, Wenping Ma, Jiaqi Zhao, Jin Zhao, Hongying Liu, Xianghai Cao, Shuyuan Yang

IEEE Trans. Geosci. Remote. Sens., 2017

Deep Fully Convolutional Network-Based Spatial Distribution Prediction for Hyperspectral Image Classification.

Licheng Jiao, Miaomiao Liang, Huan Chen, Shuyuan Yang, Hongying Liu, Xianghai Cao

IEEE Trans. Geosci. Remote. Sens., 2017

Polarimetric SAR Feature Extraction With Neighborhood Preservation-Based Deep Learning.

Hongying Liu, Shuyuan Yang, Shuiping Gou, Dexiang Zhu, Rongfang Wang, Licheng Jiao

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

Semisupervised PolSAR Image Classification Based on Improved Cotraining.

Wenqiang Hua, Shuang Wang, Hongying Liu, Kun Liu, Yanhe Guo, Licheng Jiao

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

Unsupervised saliency-guided SAR image change detection.

Yaoguo Zheng, Licheng Jiao, Hongying Liu, Xiangrong Zhang, Biao Hou, Shuang Wang

Pattern Recognit., 2017

Fast Classification for Large Polarimetric SAR Data Based on Refined Spatial-Anchor Graph.

Hongying Liu, Shuyuan Yang, Shuiping Gou, Puhua Chen, Yikai Wang, Licheng Jiao

IEEE Geosci. Remote. Sens. Lett., 2017

Hierarchical Sparse Bayesian Learning with Beta Process Priors for Hyperspectral Imagery Restoration.

Shuai Liu, Licheng Jiao, Shuyuan Yang, Hongying Liu

IEICE Trans. Inf. Syst., 2017

Hyperspectral image classification based on stacked marginal discriminative autoencoder.

Jie Feng, Liguo Liu, Xiangrong Zhang, Rongfang Wang, Hongying Liu

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Semi-Supervised Classification Based on SAGA for PolSAR Images.

Hongying Liu, Zhi Wang, Feixiang Wang, Haisheng Deng, Licheng Jiao

Proceedings of the Bio-inspired Computing: Theories and Applications, 2017

2016

Multiple Kernel Learning Based on Discriminative Kernel Clustering for Hyperspectral Band Selection.

Jie Feng, Licheng Jiao, Tao Sun, Hongying Liu, Xiangrong Zhang

IEEE Trans. Geosci. Remote. Sens., 2016

Class-Level Joint Sparse Representation for Multifeature-Based Hyperspectral Image Classification.

Erlei Zhang, Licheng Jiao, Xiangrong Zhang, Hongying Liu, Shuang Wang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Semisupervised Feature Extraction With Neighborhood Constraints for Polarimetric SAR Classification.

Hongying Liu, Dexiang Zhu, Shuyuan Yang, Biao Hou, Shuiping Gou, Tao Xiong, Licheng Jiao

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Large Polarimetric SAR Data Semi-Supervised Classification With Spatial-Anchor Graph.

Hongying Liu, Yikai Wang, Shuyuan Yang, Shuang Wang, Jie Feng, Licheng Jiao

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Classification and saliency detection by semi-supervised low-rank representation.

Miaoyun Zhao, Licheng Jiao, Wenping Ma, Hongying Liu, Shuyuan Yang

Pattern Recognit., 2016

Hierarchical semantic model and scattering mechanism based PolSAR image classification.

Fang Liu, Junfei Shi, Licheng Jiao, Hongying Liu, Shuyuan Yang, Jie Wu, Hongxia Hao, Jialing Yuan

Pattern Recognit., 2016

Unsupervised High-Level Feature Extraction of SAR Imagery With Structured Sparsity Priors and Incremental Dictionary Learning.

Jiawei Chen, Licheng Jiao, Wenping Ma, Hongying Liu

IEEE Geosci. Remote. Sens. Lett., 2016

Weighted multifeature hyperspectral image classification via kernel joint sparse representation.

Erlei Zhang, Xiangrong Zhang, Licheng Jiao, Hongying Liu, Shuang Wang, Biao Hou

Neurocomputing, 2016

SAR image target recognition via Complementary Spatial Pyramid Coding.

Shaona Wang, Licheng Jiao, Shuyuan Yang, Hongying Liu

Neurocomputing, 2016

New classifier based on compressed dictionary and LS-SVM.

Chen Sun, Licheng Jiao, Hongying Liu, Shuyuan Yang

Neurocomputing, 2016

Fast semi-supervised classification based on parallel auction graph for polarimetric SAR data.

Hongying Liu, Xing Xing, Shigang Wang, Zhixi Feng, Erlei Zhang, Shuyuan Yang, Biao Hou, Licheng Jiao

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Terrain classification with Polarimetric SAR based on Deep Sparse Filtering Network.

Hongying Liu, Qiang Min, Chen Sun, Jin Zhao, Shuyuan Yang, Biao Hou, Jie Feng, Licheng Jiao

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015

A Resample-Based SVA Algorithm for Sidelobe Reduction of SAR/ISAR Imagery With Noninteger Nyquist Sampling Rate.

Tao Xiong, Shuang Wang, Biao Hou, Yong Wang, Hongying Liu

IEEE Trans. Geosci. Remote. Sens., 2015

Hyperspectral Image Classification by Spatial-Spectral Derivative-Aided Kernel Joint Sparse Representation.

Jianing Wang, Licheng Jiao, Hongying Liu, Shuyuan Yang, Fang Liu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

Fast Multifeature Joint Sparse Representation for Hyperspectral Image Classification.

Erlei Zhang, Xiangrong Zhang, Hongying Liu, Licheng Jiao

IEEE Geosci. Remote. Sens. Lett., 2015

A Three-Component Fisher-Based Feature Weighting Method for Supervised PolSAR Image Classification.

Bo Chen, Shuang Wang, Licheng Jiao, Rustam Stolkin, Hongying Liu

IEEE Geosci. Remote. Sens. Lett., 2015

Polarimetric Hierarchical Semantic Model and Scattering Mechanism Based PolSAR Image Classification.

Fang Liu, Junfei Shi, Licheng Jiao, Hongying Liu, Shuyuan Yang, Jie Wu, Hongxia Hao, Jialing Yuan

CoRR, 2015

Semi-supervised classification based on anchor-spatial graph for large polarimetric SAR data.

Hongying Liu, Yikai Wang, Dexiang Zhu, Shuyuan Yang, Shuang Wang, Biao Hou, Licheng Jiao

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014

Semi-supervised classification via kernel low-rank representation graph.

Shuyuan Yang, Zhixi Feng, Yu Ren, Hongying Liu, Licheng Jiao

Knowl. Based Syst., 2014

Improve the performance of co-training by committee with refinement of class probability estimations.

Shuang Wang, Linsheng Wu, Licheng Jiao, Hongying Liu

Neurocomputing, 2014

Unsupervised classification of polarimetric SAR images integrating color features.

Hongying Liu, Shuang Wang, Biao Hou, Shuyuan Yang, Junfei Shi, Tao Xiong, Licheng Jiao

Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2013

Correlated Noise Reduction for Electromagnetic Analysis.

Hongying Liu, Xin Jin, Yukiyasu Tsunoo, Satoshi Goto

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2013

2011

The Switching Glitch Power Leakage Model.

Hongying Liu, Guoyu Qian, Yukiyasu Tsunoo, Satoshi Goto

J. Softw., 2011

Electromagnetic Analysis Enhancement with Signal Processing Techniques (Poster).

Hongying Liu, Yukiyasu Tsunoo, Satoshi Goto

Proceedings of the Information Security and Privacy - 16th Australasian Conference, 2011

2010

Correlation Power Analysis Based on Switching Glitch Model.

Hongying Liu, Guoyu Qian, Satoshi Goto, Yukiyasu Tsunoo

Proceedings of the Information Security Applications - 11th International Workshop, 2010