Hongying Liu - RankMe

126 papers A* 19A 2B 1C 6Misc 3Journal 88Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CFCML: A Coarse-to-Fine Crossmodal Learning Framework For Disease Diagnosis Using Multimodal Images and Tabular Data. CoRR Tianling Liu, Hongying Liu, Fanhua Shang, Lequan Yu, Tong Han, Liang Wan
2026	J	`jnl`	Causal Inference via Style Bias Deconfounding for Domain Generalization. IEEE Trans. Pattern Anal. Mach. Intell. Jiaxi Li, Di Lin, Hao Chen, Hongying Liu, Liang Wan, Wei Feng
2026	J	`jnl`	Enhancing the impact of model performance gains for semi-supervised medical image segmentation. Pattern Recognit. Wenbin Zuo, Hongying Liu, Huadeng Wang, Lingqi Zeng, Ningning Tang, Fanhua Shang, Liang Wan, Jingjing Deng
2026	A*	`conf`	FedAdamW: A Communication-Efficient Optimizer with Convergence and Generalization Guarantees for Federated Large Models. AAAI Junkang Liu, Fanhua Shang, Hongying Liu, Yuxuan Tian, Yuanyuan Liu, Jin Liu, Kewen Zhu, Zhouchen Lin
2026	J	`jnl`	FedBCD:Communication-Efficient Accelerated Block Coordinate Gradient Descent for Federated Learning. CoRR Junkang Liu, Fanhua Shang, Yuanyuan Liu, Hongying Liu, Yuangang Li, YunXiang Gong
2026	J	`jnl`	FedNSAM:Consistency of Local and Global Flatness for Federated Learning. CoRR Junkang Liu, Fanhua Shang, Yuxuan Tian, Hongying Liu, Yuanyuan Liu
2026	J	`jnl`	PDD: Manifold-Prior Diverse Distillation for Medical Anomaly Detection. CoRR Xijun Lu, Hongying Liu, Fanhua Shang, Yanming Hui, Liang Wan
2026	J	`jnl`	Taming Preconditioner Drift: Unlocking the Potential of Second-Order Optimizers for Federated Learning on Non-IID Data. CoRR Junkang Liu, Fanhua Shang, Hongying Liu, Jin Liu, Weixin An, Yuanyuan Liu
2025	A*	`conf`	Beyond Background Shift: Rethinking Instance Replay in Continual Semantic Segmentation. CVPR Hongmei Yin, Tingliang Feng, Fan Lyu, Fanhua Shang, Hongying Liu, Wei Feng, Liang Wan
2025	J	`jnl`	Beyond Background Shift: Rethinking Instance Replay in Continual Semantic Segmentation. CoRR Hongmei Yin, Tingliang Feng, Fan Lyu, Fanhua Shang, Hongying Liu, Wei Feng, Liang Wang
2025	J	`jnl`	Casual Inference via Style Bias Deconfounding for Domain Generalization. CoRR Jiaxi Li, Di Lin, Hao Chen, Hongying Liu, Liang Wan, Wei Feng
2025	J	`jnl`	Completed Feature Disentanglement Learning for Multimodal MRIs Analysis. IEEE J. Biomed. Health Informatics Tianling Liu, Hongying Liu, Fanhua Shang, Lequan Yu, Tong Han, Liang Wan
2025	A*	`conf`	Consistency of Local and Global Flatness for Federated Learning. ACM Multimedia Junkang Liu, Fanhua Shang, Yuxuan Tian, Hongying Liu, Yuanyuan Liu
2025	J	`jnl`	DEs-Inspired Accelerated Unfolded Linearized ADMM Networks for Inverse Problems. IEEE Trans. Neural Networks Learn. Syst. Weixin An, Yuanyuan Liu, Fanhua Shang, Hongying Liu, Licheng Jiao
2025	J	`jnl`	DP-FedPGN: Finding Global Flat Minima for Differentially Private Federated Learning via Penalizing Gradient Norm. CoRR Junkang Liu, Yuxuan Tian, Fanhua Shang, Yuanyuan Liu, Hongying Liu, Junchao Zhou, Ding Daorui
2025	J	`jnl`	Distillation guided deep unfolding network with frequency hierarchical regularization for low-dose CT image denoising. Neurocomputing Linlin Yang, Hongying Liu, Yuanyuan Liu, Fanhua Shang, Liang Wan, Licheng Jiao
2025	J	`jnl`	FedAdamW: A Communication-Efficient Optimizer with Convergence and Generalization Guarantees for Federated Large Models. CoRR Junkang Liu, Fanhua Shang, Kewen Zhu, Hongying Liu, Yuanyuan Liu, Jin Liu
2025	J	`jnl`	FedMuon: Accelerating Federated Learning with Matrix Orthogonalization. CoRR Junkang Liu, Fanhua Shang, Junchao Zhou, Hongying Liu, Yuanyuan Liu, Jin Liu
2025	J	`jnl`	FedSWA: Improving Generalization in Federated Learning with Highly Heterogeneous Data via Momentum-Based Stochastic Controlled Weight Averaging. CoRR Junkang Liu, Yuanyuan Liu, Fanhua Shang, Hongying Liu, Jin Liu, Wei Feng
2025	A*	`conf`	Improving Generalization in Federated Learning with Highly Heterogeneous Data via Momentum-Based Stochastic Controlled Weight Averaging. ICML Junkang Liu, Yuanyuan Liu, Fanhua Shang, Hongying Liu, Jin Liu, Wei Feng
2025	J	`jnl`	Semi-Supervised Remote Sensing Imagery Scene Classification Based on Probabilistic Selection. IEEE Geosci. Remote. Sens. Lett. Lixin Ye, Fanhua Shang, Hongying Liu
2025	A*	`conf`	Unsupervised Degradation Representation Aware Transform for Real-World Blind Image Super-Resolution. AAAI Sen Chen, Hongying Liu, Chaowei Fang, Fanhua Shang, Yuanyuan Liu, Liang Wan, Dongmei Jiang, Yaowei Wang
2024	—	`conf`	A 3D Unsupervised Domain Adaptation Framework Combining Style Translation and Self-training for Abdominal Organs Segmentation. FLARE@MICCAI Jiaxi Li, Qiang Chen, Haoyu Ding, Hongying Liu, Liang Wan
2024	J	`jnl`	A single frame and multi-frame joint network for 360-degree panorama video super-resolution. Eng. Appl. Artif. Intell. Hongying Liu, Wanhao Ma, Zhubo Ruan, Chaowei Fang, Fanhua Shang, Yuanyuan Liu, Lijun Wang, Chaoli Wang, Dongmei Jiang
2024	J	`jnl`	Accelerated Stochastic Variance Reduction Gradient Algorithms for Robust Subspace Clustering. Sensors Hongying Liu, Linlin Yang, Longge Zhang, Fanhua Shang, Yuanyuan Liu, Lijun Wang
2024	J	`jnl`	Arbitrary-scale Super-resolution via Deep Learning: A Comprehensive Survey. Inf. Fusion Hongying Liu, Zekun Li, Fanhua Shang, Yuanyuan Liu, Liang Wang, Wei Feng, Radu Timofte
2024	J	`jnl`	Completed Feature Disentanglement Learning for Multimodal MRIs Analysis. CoRR Tianling Liu, Hongying Liu, Fanhua Shang, Lequan Yu, Tong Han, Liang Wan
2024	A*	`conf`	FedBCGD: Communication-Efficient Accelerated Block Coordinate Gradient Descent for Federated Learning. ACM Multimedia Junkang Liu, Fanhua Shang, Yuanyuan Liu, Hongying Liu, Yuangang Li, YunXiang Gong
2024	J	`jnl`	Gradient Correction for White-Box Adversarial Attacks. IEEE Trans. Neural Networks Learn. Syst. Hongying Liu, Zhijin Ge, Zhenyu Zhou, Fanhua Shang, Yuanyuan Liu, Licheng Jiao
2024	A*	`conf`	Robust and Faster Zeroth-Order Minimax Optimization: Complexity and Applications. NeurIPS Weixin An, Yuanyuan Liu, Fanhua Shang, Hongying Liu
2024	A*	`conf`	SAVSR: Arbitrary-Scale Video Super-Resolution via a Learned Scale-Adaptive Network. AAAI Zekun Li, Hongying Liu, Fanhua Shang, Yuanyuan Liu, Liang Wan, Wei Feng
2023	A*	`conf`	A Single-Loop Accelerated Extra-Gradient Difference Algorithm with Improved Complexity Bounds for Constrained Minimax Optimization. NeurIPS Yuanyuan Liu, Fanhua Shang, Weixin An, Junhao Liu, Hongying Liu, Zhouchen Lin
2023	Misc	`conf`	Adaptive Non-Local Generative Adversarial Networks for Low-Dose CT Image Denoising. ICASSP Linlin Yang, Hongying Liu, Fanhua Shang, Yuanyuan Liu
2023	A*	`conf`	Boosting Adversarial Transferability by Achieving Flat Local Maxima. NeurIPS Zhijin Ge, Xiaosen Wang, Hongying Liu, Fanhua Shang, Yuanyuan Liu
2023	J	`jnl`	Boosting Adversarial Transferability by Achieving Flat Local Maxima. CoRR Zhijin Ge, Fanhua Shang, Hongying Liu, Yuanyuan Liu, Xiaosen Wang
2023	A*	`conf`	Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer. ACM Multimedia Zhijin Ge, Fanhua Shang, Hongying Liu, Yuanyuan Liu, Liang Wan, Wei Feng, Xiaosen Wang
2023	J	`jnl`	Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer. CoRR Zhijin Ge, Fanhua Shang, Hongying Liu, Yuanyuan Liu, Liang Wan, Wei Feng, Xiaosen Wang
2023	J	`jnl`	Lightweight Super-Resolution with Self-Calibrated Convolution for Panoramic Videos. Sensors Fanjie Shang, Hongying Liu, Wanhao Ma, Yuanyuan Liu, Licheng Jiao, Fanhua Shang, Lijun Wang, Zhenyu Zhou
2023	J	`jnl`	Polarimetric Synthetic Aperture Radar Image Classification Based on Double-Channel Convolution Network and Edge-Preserving Markov Random Field. Remote. Sens. Junfei Shi, Mengmeng Nie, Shanshan Ji, Cheng Shi, Hongying Liu, Haiyan Jin
2022	A*	`conf`	A Numerical DEs Perspective on Unfolded Linearized ADMM Networks for Inverse Problems. ACM Multimedia Weixin An, Yingjie Yue, Yuanyuan Liu, Fanhua Shang, Hongying Liu
2022	J	`jnl`	Asynchronous Parallel, Sparse Approximated SVRG for High-Dimensional Machine Learning. IEEE Trans. Knowl. Data Eng. Fanhua Shang, Hua Huang, Jun Fan, Yuanyuan Liu, Hongying Liu, JianHui Liu
2022	A*	`conf`	Balanced Gradient Penalty Improves Deep Long-Tailed Learning. ACM Multimedia Dong Wang, Yicheng Liu, Liangji Fang, Fanhua Shang, Yuanyuan Liu, Hongying Liu
2022	J	`jnl`	Efficient Gradient Support Pursuit With Less Hard Thresholding for Cardinality-Constrained Learning. IEEE Trans. Neural Networks Learn. Syst. Fanhua Shang, Bingkun Wei, Hongying Liu, Yuanyuan Liu, Pan Zhou, Maoguo Gong
2022	J	`jnl`	EfficientNet embedded with spatial attention for recognition of multi-label fundus disease from color fundus photographs. Biomed. Signal Process. Control. Kai Sun, Mengjia He, Zichun He, Hongying Liu, Xitian Pi
2022	A*	`conf`	HNO: High-Order Numerical Architecture for ODE-Inspired Deep Unfolding Networks. AAAI Lin Kong, Wei Sun, Fanhua Shang, Yuanyuan Liu, Hongying Liu
2022	A*	`conf`	Kill a Bird with Two Stones: Closing the Convergence Gaps in Non-Strongly Convex Optimization by Directly Accelerated SVRG with Double Compensation and Snapshots. ICML Yuanyuan Liu, Fanhua Shang, Weixin An, Hongying Liu, Zhouchen Lin
2022	J	`jnl`	Laplacian Smoothing Stochastic ADMMs With Differential Privacy Guarantees. IEEE Trans. Inf. Forensics Secur. Yuanyuan Liu, Jiacheng Geng, Fanhua Shang, Weixin An, Hongying Liu, Qi Zhu, Wei Feng
2022	J	`jnl`	Loopless Variance Reduced Stochastic ADMM for Equality Constrained Problems in IoT Applications. IEEE Internet Things J. Yuanyuan Liu, Jiacheng Geng, Fanhua Shang, Weixin An, Hongying Liu, Qi Zhu
2022	C	`conf`	Multi Recursive Residual Dense Attention GAN for Perceptual Image Super Resolution. ICIS Linlin Yang, Hongying Liu, Yiming Li, Wenhao Zhou, Yuanyuan Liu, Xiaobiao Di, Lei Wang, Chuanwen Li
2022	J	`jnl`	Multi-label classification of fundus images with graph convolutional network and LightGBM. Comput. Biol. Medicine Kai Sun, Mengjia He, Yao Xu, Qinying Wu, Zichun He, Wang Li, Hongying Liu, Xitian Pi
2022	B	`conf`	PWPROP: A Progressive Weighted Adaptive Method for Training Deep Neural Networks. ICTAI Dong Wang, Tao Xu, Huatian Zhang, Fanhua Shang, Hongying Liu, Yuanyuan Liu, Shengmei Shen
2022	J	`jnl`	Video super-resolution based on deep learning: a comprehensive survey. Artif. Intell. Rev. Hongying Liu, Zhubo Ruan, Peng Zhao, Chao Dong, Fanhua Shang, Yuanyuan Liu, Linlin Yang, Radu Timofte
2021	J	`jnl`	A Novel Learned Primal-Dual Network for Image Compressive Sensing. IEEE Access Chaolong Zhang, Yuanyuan Liu, Fanhua Shang, Yangyang Li, Hongying Liu
2021	J	`jnl`	Accelerated Variance Reduction Stochastic ADMM for Large-Scale Machine Learning. IEEE Trans. Pattern Anal. Mach. Intell. Yuanyuan Liu, Fanhua Shang, Hongying Liu, Lin Kong, Licheng Jiao, Zhouchen Lin
2021	A*	`conf`	Behavior Mimics Distribution: Combining Individual and Group Behaviors for Federated Learning. IJCAI Hua Huang, Fanhua Shang, Yuanyuan Liu, Hongying Liu
2021	J	`jnl`	Behavior Mimics Distribution: Combining Individual and Group Behaviors for Federated Learning. CoRR Hua Huang, Fanhua Shang, Yuanyuan Liu, Hongying Liu
2021	J	`jnl`	Deep Fuzzy Graph Convolutional Networks for PolSAR Imagery Pixelwise Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Hongying Liu, Tianwen Zhu, Fanhua Shang, Yuanyuan Liu, Derui Lv, Shuyuan Yang
2021	J	`jnl`	Differentially Private ADMM Algorithms for Machine Learning. IEEE Trans. Inf. Forensics Secur. Fanhua Shang, Tao Xu, Yuanyuan Liu, Hongying Liu, Longjie Shen, Maoguo Gong
2021	J	`jnl`	Efficient Asynchronous Semi-Stochastic Block Coordinate Descent Methods for Large-Scale SVD. IEEE Access Fanhua Shang, Zhihui Zhang, Yuanyuan Liu, Hongying Liu, Jing Xu
2021	J	`jnl`	Graph Convolutional Networks by Architecture Search for PolSAR Image Classification. Remote. Sens. Hongying Liu, Derong Xu, Tianwen Zhu, Fanhua Shang, Yuanyuan Liu, Jianhua Lu, Ri Yang
2021	A*	`conf`	Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling. AAAI Hongying Liu, Peng Zhao, Zhubo Ruan, Fanhua Shang, Yuanyuan Liu
2021	J	`jnl`	Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling. CoRR Hongying Liu, Peng Zhao, Zhubo Ruan, Fanhua Shang, Yuanyuan Liu
2021	A*	`conf`	Learned Extragradient ISTA with Interpretable Residual Structures for Sparse Coding. AAAI Yangyang Li, Lin Kong, Fanhua Shang, Yuanyuan Liu, Hongying Liu, Zhouchen Lin
2021	J	`jnl`	Learned Interpretable Residual Extragradient ISTA for Sparse Coding. CoRR Lin Kong, Wei Sun, Fanhua Shang, Yuanyuan Liu, Hongying Liu
2021	A	`conf`	Principal component analysis in the stochastic differential privacy model. UAI Fanhua Shang, Zhihui Zhang, Tao Xu, Yuanyuan Liu, Hongying Liu
2021	A*	`conf`	Progressive Semantic Matching for Video-Text Retrieval. ACM Multimedia Hongying Liu, Ruyi Luo, Fanhua Shang, Mantang Niu, Yuanyuan Liu
2021	J	`jnl`	Quantized Neural Networks via {-1, +1} Encoding Decomposition and Acceleration. CoRR Qigong Sun, Xiufang Li, Fanhua Shang, Hongying Liu, Kang Yang, Licheng Jiao, Zhouchen Lin
2021	J	`jnl`	Recognizing lung cancer and stages using a self-developed electronic nose system. Comput. Biol. Medicine Ke Chen, Lei Liu, Bo Nie, Binchun Lu, Lidan Fu, Zichun He, Wang Li, Xitian Pi, Hongying Liu
2020	J	`jnl`	A Single Frame and Multi-Frame Joint Network for 360-degree Panorama Video Super-Resolution. CoRR Hongying Liu, Zhubo Ruan, Chaowei Fang, Peng Zhao, Fanhua Shang, Yuanyuan Liu, Lijun Wang
2020	J	`jnl`	Boosting Gradient for White-Box Adversarial Attacks. CoRR Hongying Liu, Zhenyu Zhou, Fanhua Shang, Xiaoyu Qi, Yuanyuan Liu, Licheng Jiao
2020	J	`jnl`	Differentially Private ADMM Algorithms for Machine Learning. CoRR Tao Xu, Fanhua Shang, Yuanyuan Liu, Hongying Liu, Longjie Shen, Maoguo Gong
2020	J	`jnl`	Hybrid Network with Attention Mechanism for Detection and Location of Myocardial Infarction Based on 12-Lead Electrocardiogram Signals. Sensors Lidan Fu, Binchun Lu, Bo Nie, Zhiyun Peng, Hongying Liu, Xitian Pi
2020	J	`jnl`	Recognizing lung cancer using a homemade e-nose: A comprehensive study. Comput. Biol. Medicine Wang Li, Ziru Jia, Dandan Xie, Ke Chen, Jianguo Cui, Hongying Liu
2020	J	`jnl`	SSCV-GANs: Semi-Supervised Complex-Valued GANs for PolSAR Image Classification. IEEE Access Xiufang Li, Qigong Sun, Lingling Li, Xu Liu, Hongying Liu, Licheng Jiao, Fang Liu
2020	J	`jnl`	Semi-Supervised Deep Metric Learning Networks for Classification of Polarimetric SAR Data. Remote. Sens. Hongying Liu, Ruyi Luo, Fanhua Shang, Xuechun Meng, Shuiping Gou, Biao Hou
2020	J	`jnl`	Sparse Manifold-Regularized Neural Networks for Polarimetric SAR Terrain Classification. IEEE Trans. Neural Networks Learn. Syst. Hongying Liu, Fanhua Shang, Shuyuan Yang, Maoguo Gong, Tianwen Zhu, Licheng Jiao
2020	J	`jnl`	Stochastic Recursive Gradient Support Pursuit and Its Sparse Representation Applications. Sensors Fanhua Shang, Bingkun Wei, Yuanyuan Liu, Hongying Liu, Shuang Wang, Licheng Jiao
2020	J	`jnl`	VR-SGD: A Simple Stochastic Variance Reduction Method for Machine Learning. IEEE Trans. Knowl. Data Eng. Fanhua Shang, Kaiwen Zhou, Hongying Liu, James Cheng, Ivor W. Tsang, Lijun Zhang, Dacheng Tao, Licheng Jiao
2020	J	`jnl`	Video Super Resolution Based on Deep Learning: A comprehensive survey. CoRR Hongying Liu, Zhubo Ruan, Peng Zhao, Fanhua Shang, Linlin Yang, Yuanyuan Liu
2019	—	`conf`	A Novel Deep Framework for Change Detection of Multi-source Heterogeneous Images. ICDM Workshops Hongying Liu, Zhongshu Wang, Fanhua Shang, Mingyang Zhang, Maoguo Gong, Feihang Ge, Licheng Jiao
2019	J	`jnl`	A Novel Framework with High Diagnostic Sensitivity for Lung Cancer Detection by Electronic Nose. Sensors Binchun Lu, Lidan Fu, Bo Nie, Zhiyun Peng, Hongying Liu
2019	—	`conf`	A Stochastic Variance Reduced Extragradient Method for Sparse Machine Learning Problems. ICDM Workshops Lin Kong, Xiaying Bai, Yang Hu, Fanhua Shang, Yuanyuan Liu, Hongying Liu
2019	—	`conf`	CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor Segmentation. MBIA/MFCA@MICCAI Hongying Liu, Xiongjie Shen, Fanhua Shang, Feihang Ge, Fei Wang
2019	J	`jnl`	CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor Segmentation. CoRR Hongying Liu, Xiongjie Shen, Fanhua Shang, Fei Wang
2019	—	`conf`	Efficient Parallel Stochastic Variance Reduction Algorithms for Large-Scale SVD. ICDM Workshops Fanhua Shang, Zhihui Zhang, Yuying An, Yang Hu, Hongying Liu
2019	J	`jnl`	Efficient Relaxed Gradient Support Pursuit for Sparsity Constrained Non-convex Optimization. CoRR Fanhua Shang, Bingkun Wei, Hongying Liu, Yuanyuan Liu, Jiacheng Zhuo
2019	J	`jnl`	Fast Semisupervised Classification Using Histogram-Based Density Estimation for Large-Scale Polarimetric SAR Data. IEEE Geosci. Remote. Sens. Lett. Hongying Liu, Feixiang Wang, Shuyuan Yang, Biao Hou, Licheng Jiao, Ri Yang
2019	A	`conf`	Loopless Semi-Stochastic Gradient Descent with Less Hard Thresholding for Sparse Learning. CIKM Xiangyang Liu, Bingkun Wei, Fanhua Shang, Hongying Liu
2019	—	`conf`	signADAM++: Learning Confidences for Deep Neural Networks. ICDM Workshops Dong Wang, Yicheng Liu, Wenwo Tang, Fanhua Shang, Hongying Liu, Qigong Sun, Licheng Jiao
2019	J	`jnl`	signADAM: Learning Confidences for Deep Neural Networks. CoRR Dong Wang, Yicheng Liu, Wenwo Tang, Fanhua Shang, Hongying Liu, Qigong Sun, Licheng Jiao
2018	J	`jnl`	Semi-Supervised Tensorial Locally Linear Embedding for Feature Extraction Using PolSAR Data. IEEE J. Sel. Top. Signal Process. Hongying Liu, Zhi Wang, Fanhua Shang, Shuyuan Yang, Shuiping Gou, Licheng Jiao
2018	J	`jnl`	Terrain classification based on spatial multi-attribute graph using Polarimetric SAR data. Appl. Soft Comput. Hongying Liu, Shuyuan Yang, Shuiping Gou, Shuai Liu, Licheng Jiao
2017	J	`jnl`	Deep Fully Convolutional Network-Based Spatial Distribution Prediction for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. Licheng Jiao, Miaomiao Liang, Huan Chen, Shuyuan Yang, Hongying Liu, Xianghai Cao
2017	J	`jnl`	Fast Classification for Large Polarimetric SAR Data Based on Refined Spatial-Anchor Graph. IEEE Geosci. Remote. Sens. Lett. Hongying Liu, Shuyuan Yang, Shuiping Gou, Puhua Chen, Yikai Wang, Licheng Jiao
2017	J	`jnl`	Hierarchical Sparse Bayesian Learning with Beta Process Priors for Hyperspectral Imagery Restoration. IEICE Trans. Inf. Syst. Shuai Liu, Licheng Jiao, Shuyuan Yang, Hongying Liu
2017	C	`conf`	Hyperspectral image classification based on stacked marginal discriminative autoencoder. IGARSS Jie Feng, Liguo Liu, Xiangrong Zhang, Rongfang Wang, Hongying Liu
2017	J	`jnl`	Polarimetric SAR Feature Extraction With Neighborhood Preservation-Based Deep Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Hongying Liu, Shuyuan Yang, Shuiping Gou, Dexiang Zhu, Rongfang Wang, Licheng Jiao
2017	—	`conf`	Semi-Supervised Classification Based on SAGA for PolSAR Images. BIC-TA Hongying Liu, Zhi Wang, Feixiang Wang, Haisheng Deng, Licheng Jiao
2017	J	`jnl`	Semisupervised PolSAR Image Classification Based on Improved Cotraining. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Wenqiang Hua, Shuang Wang, Hongying Liu, Kun Liu, Yanhe Guo, Licheng Jiao
2017	J	`jnl`	Superpixel-Based Multiple Local CNN for Panchromatic and Multispectral Image Classification. IEEE Trans. Geosci. Remote. Sens. Wei Zhao, Licheng Jiao, Wenping Ma, Jiaqi Zhao, Jin Zhao, Hongying Liu, Xianghai Cao, Shuyuan Yang
2017	J	`jnl`	Unsupervised saliency-guided SAR image change detection. Pattern Recognit. Yaoguo Zheng, Licheng Jiao, Hongying Liu, Xiangrong Zhang, Biao Hou, Shuang Wang
2016	J	`jnl`	Class-Level Joint Sparse Representation for Multifeature-Based Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Erlei Zhang, Licheng Jiao, Xiangrong Zhang, Hongying Liu, Shuang Wang
2016	J	`jnl`	Classification and saliency detection by semi-supervised low-rank representation. Pattern Recognit. Miaoyun Zhao, Licheng Jiao, Wenping Ma, Hongying Liu, Shuyuan Yang
2016	C	`conf`	Fast semi-supervised classification based on parallel auction graph for polarimetric SAR data. IGARSS Hongying Liu, Xing Xing, Shigang Wang, Zhixi Feng, Erlei Zhang, Shuyuan Yang, Biao Hou, Licheng Jiao
2016	J	`jnl`	Hierarchical semantic model and scattering mechanism based PolSAR image classification. Pattern Recognit. Fang Liu, Junfei Shi, Licheng Jiao, Hongying Liu, Shuyuan Yang, Jie Wu, Hongxia Hao, Jialing Yuan
2016	J	`jnl`	Large Polarimetric SAR Data Semi-Supervised Classification With Spatial-Anchor Graph. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Hongying Liu, Yikai Wang, Shuyuan Yang, Shuang Wang, Jie Feng, Licheng Jiao
2016	J	`jnl`	Multiple Kernel Learning Based on Discriminative Kernel Clustering for Hyperspectral Band Selection. IEEE Trans. Geosci. Remote. Sens. Jie Feng, Licheng Jiao, Tao Sun, Hongying Liu, Xiangrong Zhang
2016	J	`jnl`	New classifier based on compressed dictionary and LS-SVM. Neurocomputing Chen Sun, Licheng Jiao, Hongying Liu, Shuyuan Yang
2016	J	`jnl`	SAR image target recognition via Complementary Spatial Pyramid Coding. Neurocomputing Shaona Wang, Licheng Jiao, Shuyuan Yang, Hongying Liu
2016	J	`jnl`	Semisupervised Feature Extraction With Neighborhood Constraints for Polarimetric SAR Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Hongying Liu, Dexiang Zhu, Shuyuan Yang, Biao Hou, Shuiping Gou, Tao Xiong, Licheng Jiao
2016	C	`conf`	Terrain classification with Polarimetric SAR based on Deep Sparse Filtering Network. IGARSS Hongying Liu, Qiang Min, Chen Sun, Jin Zhao, Shuyuan Yang, Biao Hou, Jie Feng, Licheng Jiao
2016	J	`jnl`	Unsupervised High-Level Feature Extraction of SAR Imagery With Structured Sparsity Priors and Incremental Dictionary Learning. IEEE Geosci. Remote. Sens. Lett. Jiawei Chen, Licheng Jiao, Wenping Ma, Hongying Liu
2016	J	`jnl`	Weighted multifeature hyperspectral image classification via kernel joint sparse representation. Neurocomputing Erlei Zhang, Xiangrong Zhang, Licheng Jiao, Hongying Liu, Shuang Wang, Biao Hou
2015	J	`jnl`	A Resample-Based SVA Algorithm for Sidelobe Reduction of SAR/ISAR Imagery With Noninteger Nyquist Sampling Rate. IEEE Trans. Geosci. Remote. Sens. Tao Xiong, Shuang Wang, Biao Hou, Yong Wang, Hongying Liu
2015	J	`jnl`	A Three-Component Fisher-Based Feature Weighting Method for Supervised PolSAR Image Classification. IEEE Geosci. Remote. Sens. Lett. Bo Chen, Shuang Wang, Licheng Jiao, Rustam Stolkin, Hongying Liu
2015	J	`jnl`	Fast Multifeature Joint Sparse Representation for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. Erlei Zhang, Xiangrong Zhang, Hongying Liu, Licheng Jiao
2015	J	`jnl`	Hyperspectral Image Classification by Spatial-Spectral Derivative-Aided Kernel Joint Sparse Representation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Jianing Wang, Licheng Jiao, Hongying Liu, Shuyuan Yang, Fang Liu
2015	J	`jnl`	Polarimetric Hierarchical Semantic Model and Scattering Mechanism Based PolSAR Image Classification. CoRR Fang Liu, Junfei Shi, Licheng Jiao, Hongying Liu, Shuyuan Yang, Jie Wu, Hongxia Hao, Jialing Yuan
2015	C	`conf`	Semi-supervised classification based on anchor-spatial graph for large polarimetric SAR data. IGARSS Hongying Liu, Yikai Wang, Dexiang Zhu, Shuyuan Yang, Shuang Wang, Biao Hou, Licheng Jiao
2014	J	`jnl`	Improve the performance of co-training by committee with refinement of class probability estimations. Neurocomputing Shuang Wang, Linsheng Wu, Licheng Jiao, Hongying Liu
2014	J	`jnl`	Semi-supervised classification via kernel low-rank representation graph. Knowl. Based Syst. Shuyuan Yang, Zhixi Feng, Yu Ren, Hongying Liu, Licheng Jiao
2014	C	`conf`	Unsupervised classification of polarimetric SAR images integrating color features. IGARSS Hongying Liu, Shuang Wang, Biao Hou, Shuyuan Yang, Junfei Shi, Tao Xiong, Licheng Jiao
2013	J	`jnl`	Correlated Noise Reduction for Electromagnetic Analysis. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Hongying Liu, Xin Jin, Yukiyasu Tsunoo, Satoshi Goto
2011	Misc	`conf`	Electromagnetic Analysis Enhancement with Signal Processing Techniques (Poster). ACISP Hongying Liu, Yukiyasu Tsunoo, Satoshi Goto
2011	J	`jnl`	The Switching Glitch Power Leakage Model. J. Softw. Hongying Liu, Guoyu Qian, Yukiyasu Tsunoo, Satoshi Goto
2010	Misc	`conf`	Correlation Power Analysis Based on Switching Glitch Model. WISA Hongying Liu, Guoyu Qian, Satoshi Goto, Yukiyasu Tsunoo