Correlation Power Analysis Based on Switching Glitch Model. - Hongying Liu 001; Guoyu Qian; Satoshi Goto; Yukiyasu Tsunoo (WISA, 2010)

Electromagnetic Analysis Enhancement with Signal Processing Techniques (Poster). - Hongying Liu 001; Yukiyasu Tsunoo; Satoshi Goto (ACISP, 2011)

The Switching Glitch Power Leakage Model. - Hongying Liu 001; Guoyu Qian; Yukiyasu Tsunoo; Satoshi Goto (J. Softw., 2011)

Correlated Noise Reduction for Electromagnetic Analysis. - Hongying Liu 001; Xin Jin 002; Yukiyasu Tsunoo; Satoshi Goto (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2013)

Unsupervised classification of polarimetric SAR images integrating color features. - Hongying Liu 001; Shuang Wang 001; Biao Hou; Shuyuan Yang 001; Junfei Shi; Tao Xiong; Licheng Jiao (IGARSS, 2014)

Improve the performance of co-training by committee with refinement of class probability estimations. - Shuang Wang 001; Linsheng Wu; Licheng Jiao; Hongying Liu 001 (Neurocomputing, 2014)

Semi-supervised classification via kernel low-rank representation graph. - Shuyuan Yang 001; Zhixi Feng; Yu Ren; Hongying Liu 001; Licheng Jiao (Knowl. Based Syst., 2014)

Semi-supervised classification based on anchor-spatial graph for large polarimetric SAR data. - Hongying Liu 001; Yikai Wang; Dexiang Zhu; Shuyuan Yang 001; Shuang Wang 001; Biao Hou; Licheng Jiao (IGARSS, 2015)

Polarimetric Hierarchical Semantic Model and Scattering Mechanism Based PolSAR Image Classification. - Fang Liu 001; Junfei Shi; Licheng Jiao; Hongying Liu 001; Shuyuan Yang 001; Jie Wu 016; Hongxia Hao; Jialing Yuan (CoRR, 2015)

A Three-Component Fisher-Based Feature Weighting Method for Supervised PolSAR Image Classification. - Bo Chen 001; Shuang Wang 001; Licheng Jiao; Rustam Stolkin; Hongying Liu 001 (IEEE Geosci. Remote. Sens. Lett., 2015)

Fast Multifeature Joint Sparse Representation for Hyperspectral Image Classification. - Erlei Zhang; Xiangrong Zhang; Hongying Liu 001; Licheng Jiao (IEEE Geosci. Remote. Sens. Lett., 2015)

Hyperspectral Image Classification by Spatial-Spectral Derivative-Aided Kernel Joint Sparse Representation. - Jianing Wang 003; Licheng Jiao; Hongying Liu 001; Shuyuan Yang 001; Fang Liu 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

A Resample-Based SVA Algorithm for Sidelobe Reduction of SAR/ISAR Imagery With Noninteger Nyquist Sampling Rate. - Tao Xiong; Shuang Wang 001; Biao Hou; Yong Wang 011; Hongying Liu 001 (IEEE Trans. Geosci. Remote. Sens., 2015)

Terrain classification with Polarimetric SAR based on Deep Sparse Filtering Network. - Hongying Liu 001; Qiang Min; Chen Sun; Jin Zhao 002; Shuyuan Yang 001; Biao Hou; Jie Feng 003; Licheng Jiao (IGARSS, 2016)

Fast semi-supervised classification based on parallel auction graph for polarimetric SAR data. - Hongying Liu 001; Xing Xing; Shigang Wang; Zhixi Feng; Erlei Zhang; Shuyuan Yang 001; Biao Hou; Licheng Jiao (IGARSS, 2016)

New classifier based on compressed dictionary and LS-SVM. - Chen Sun; Licheng Jiao; Hongying Liu 001; Shuyuan Yang 001 (Neurocomputing, 2016)

SAR image target recognition via Complementary Spatial Pyramid Coding. - Shaona Wang; Licheng Jiao; Shuyuan Yang 001; Hongying Liu 001 (Neurocomputing, 2016)

Weighted multifeature hyperspectral image classification via kernel joint sparse representation. - Erlei Zhang; Xiangrong Zhang; Licheng Jiao; Hongying Liu 001; Shuang Wang 001; Biao Hou (Neurocomputing, 2016)

Unsupervised High-Level Feature Extraction of SAR Imagery With Structured Sparsity Priors and Incremental Dictionary Learning. - Jiawei Chen 001; Licheng Jiao; Wenping Ma 001; Hongying Liu 001 (IEEE Geosci. Remote. Sens. Lett., 2016)

Hierarchical semantic model and scattering mechanism based PolSAR image classification. - Fang Liu 001; Junfei Shi; Licheng Jiao; Hongying Liu 001; Shuyuan Yang 001; Jie Wu 016; Hongxia Hao; Jialing Yuan (Pattern Recognit., 2016)

Classification and saliency detection by semi-supervised low-rank representation. - Miaoyun Zhao; Licheng Jiao; Wenping Ma 001; Hongying Liu 001; Shuyuan Yang 001 (Pattern Recognit., 2016)

Large Polarimetric SAR Data Semi-Supervised Classification With Spatial-Anchor Graph. - Hongying Liu 001; Yikai Wang; Shuyuan Yang 001; Shuang Wang 001; Jie Feng 003; Licheng Jiao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Semisupervised Feature Extraction With Neighborhood Constraints for Polarimetric SAR Classification. - Hongying Liu 001; Dexiang Zhu; Shuyuan Yang 001; Biao Hou; Shuiping Gou; Tao Xiong; Licheng Jiao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Class-Level Joint Sparse Representation for Multifeature-Based Hyperspectral Image Classification. - Erlei Zhang; Licheng Jiao; Xiangrong Zhang; Hongying Liu 001; Shuang Wang 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Multiple Kernel Learning Based on Discriminative Kernel Clustering for Hyperspectral Band Selection. - Jie Feng 003; Licheng Jiao; Tao Sun 007; Hongying Liu 001; Xiangrong Zhang (IEEE Trans. Geosci. Remote. Sens., 2016)

Semi-Supervised Classification Based on SAGA for PolSAR Images. - Hongying Liu 001; Zhi Wang; Feixiang Wang; Haisheng Deng; Licheng Jiao (BIC-TA, 2017)

Hyperspectral image classification based on stacked marginal discriminative autoencoder. - Jie Feng 003; Liguo Liu; Xiangrong Zhang; Rongfang Wang; Hongying Liu 001 (IGARSS, 2017)

Hierarchical Sparse Bayesian Learning with Beta Process Priors for Hyperspectral Imagery Restoration. - Shuai Liu; Licheng Jiao; Shuyuan Yang 001; Hongying Liu 001 (IEICE Trans. Inf. Syst., 2017)

Fast Classification for Large Polarimetric SAR Data Based on Refined Spatial-Anchor Graph. - Hongying Liu 001; Shuyuan Yang 001; Shuiping Gou; Puhua Chen; Yikai Wang; Licheng Jiao (IEEE Geosci. Remote. Sens. Lett., 2017)

Unsupervised saliency-guided SAR image change detection. - Yaoguo Zheng; Licheng Jiao; Hongying Liu 001; Xiangrong Zhang; Biao Hou; Shuang Wang 001 (Pattern Recognit., 2017)

Semisupervised PolSAR Image Classification Based on Improved Cotraining. - Wenqiang Hua; Shuang Wang 001; Hongying Liu 001; Kun Liu 011; Yanhe Guo; Licheng Jiao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Polarimetric SAR Feature Extraction With Neighborhood Preservation-Based Deep Learning. - Hongying Liu 001; Shuyuan Yang 001; Shuiping Gou; Dexiang Zhu; Rongfang Wang; Licheng Jiao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Deep Fully Convolutional Network-Based Spatial Distribution Prediction for Hyperspectral Image Classification. - Licheng Jiao; Miaomiao Liang; Huan Chen 006; Shuyuan Yang 001; Hongying Liu 001; Xianghai Cao (IEEE Trans. Geosci. Remote. Sens., 2017)

Superpixel-Based Multiple Local CNN for Panchromatic and Multispectral Image Classification. - Wei Zhao 014; Licheng Jiao; Wenping Ma 001; Jiaqi Zhao 001; Jin Zhao 002; Hongying Liu 001; Xianghai Cao; Shuyuan Yang 001 (IEEE Trans. Geosci. Remote. Sens., 2017)

Terrain classification based on spatial multi-attribute graph using Polarimetric SAR data. - Hongying Liu 001; Shuyuan Yang 001; Shuiping Gou; Shuai Liu; Licheng Jiao (Appl. Soft Comput., 2018)

Semi-Supervised Tensorial Locally Linear Embedding for Feature Extraction Using PolSAR Data. - Hongying Liu 001; Zhi Wang; Fanhua Shang; Shuyuan Yang 001; Shuiping Gou; Licheng Jiao (IEEE J. Sel. Top. Signal Process., 2018)

Loopless Semi-Stochastic Gradient Descent with Less Hard Thresholding for Sparse Learning. - Xiangyang Liu; Bingkun Wei; Fanhua Shang; Hongying Liu 001 (CIKM, 2019)

A Stochastic Variance Reduced Extragradient Method for Sparse Machine Learning Problems. - Lin Kong; Xiaying Bai; Yang Hu; Fanhua Shang; Yuanyuan Liu 001; Hongying Liu 001 (ICDM Workshops, 2019)

A Novel Deep Framework for Change Detection of Multi-source Heterogeneous Images. - Hongying Liu 001; Zhongshu Wang; Fanhua Shang; Mingyang Zhang 002; Maoguo Gong; Feihang Ge; Licheng Jiao (ICDM Workshops, 2019)

Efficient Parallel Stochastic Variance Reduction Algorithms for Large-Scale SVD. - Fanhua Shang; Zhihui Zhang; Yuying An; Yang Hu; Hongying Liu 001 (ICDM Workshops, 2019)

signADAM++: Learning Confidences for Deep Neural Networks. - Dong Wang 042; Yicheng Liu; Wenwo Tang; Fanhua Shang; Hongying Liu 001; Qigong Sun; Licheng Jiao (ICDM Workshops, 2019)

CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor Segmentation. - Hongying Liu 001; Xiongjie Shen; Fanhua Shang; Feihang Ge; Fei Wang 001 (MBIA/MFCA@MICCAI, 2019)

CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor Segmentation. - Hongying Liu 001; Xiongjie Shen; Fanhua Shang; Fei Wang 001 (CoRR, 2019)

Efficient Relaxed Gradient Support Pursuit for Sparsity Constrained Non-convex Optimization. - Fanhua Shang; Bingkun Wei; Hongying Liu 001; Yuanyuan Liu 001; Jiacheng Zhuo (CoRR, 2019)

Fast Semisupervised Classification Using Histogram-Based Density Estimation for Large-Scale Polarimetric SAR Data. - Hongying Liu 001; Feixiang Wang; Shuyuan Yang 001; Biao Hou; Licheng Jiao; Ri Yang (IEEE Geosci. Remote. Sens. Lett., 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 001 (Sensors, 2019)

SSCV-GANs: Semi-Supervised Complex-Valued GANs for PolSAR Image Classification. - Xiufang Li; Qigong Sun; Lingling Li 002; Xu Liu 006; Hongying Liu 001; Licheng Jiao; Fang Liu 001 (IEEE Access, 2020)

Recognizing lung cancer using a homemade e-nose: A comprehensive study. - Wang Li; Ziru Jia; Dandan Xie; Ke Chen; Jianguo Cui; Hongying Liu 001 (Comput. Biol. Medicine, 2020)

Video Super Resolution Based on Deep Learning: A comprehensive survey. - Hongying Liu 001; Zhubo Ruan; Peng Zhao; Fanhua Shang; Linlin Yang; Yuanyuan Liu 001 (CoRR, 2020)

A Single Frame and Multi-Frame Joint Network for 360-degree Panorama Video Super-Resolution. - Hongying Liu 001; Zhubo Ruan; Chaowei Fang; Peng Zhao; Fanhua Shang; Yuanyuan Liu 001; Lijun Wang (CoRR, 2020)

Boosting Gradient for White-Box Adversarial Attacks. - Hongying Liu 001; Zhenyu Zhou; Fanhua Shang; Xiaoyu Qi; Yuanyuan Liu 001; Licheng Jiao (CoRR, 2020)

Semi-Supervised Deep Metric Learning Networks for Classification of Polarimetric SAR Data. - Hongying Liu 001; Ruyi Luo; Fanhua Shang; Xuechun Meng; Shuiping Gou; Biao Hou (Remote. Sens., 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 001; Xitian Pi (Sensors, 2020)

Stochastic Recursive Gradient Support Pursuit and Its Sparse Representation Applications. - Fanhua Shang; Bingkun Wei; Yuanyuan Liu 001; Hongying Liu 001; Shuang Wang 001; Licheng Jiao (Sensors, 2020)

VR-SGD: A Simple Stochastic Variance Reduction Method for Machine Learning. - Fanhua Shang; Kaiwen Zhou; Hongying Liu 001; James Cheng; Ivor W. Tsang; Lijun Zhang 005; Dacheng Tao; Licheng Jiao (IEEE Trans. Knowl. Data Eng., 2020)

Sparse Manifold-Regularized Neural Networks for Polarimetric SAR Terrain Classification. - Hongying Liu 001; Fanhua Shang; Shuyuan Yang 001; Maoguo Gong; Tianwen Zhu; Licheng Jiao (IEEE Trans. Neural Networks Learn. Syst., 2020)

Learned Extragradient ISTA with Interpretable Residual Structures for Sparse Coding. - Yangyang Li 001; Lin Kong; Fanhua Shang; Yuanyuan Liu 001; Hongying Liu 001; Zhouchen Lin (AAAI, 2021)

Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling. - Hongying Liu 001; Peng Zhao; Zhubo Ruan; Fanhua Shang; Yuanyuan Liu 001 (AAAI, 2021)

Behavior Mimics Distribution: Combining Individual and Group Behaviors for Federated Learning. - Hua Huang; Fanhua Shang; Yuanyuan Liu 001; Hongying Liu 001 (IJCAI, 2021)

Progressive Semantic Matching for Video-Text Retrieval. - Hongying Liu 001; Ruyi Luo; Fanhua Shang; Mantang Niu; Yuanyuan Liu 001 (ACM Multimedia, 2021)

Principal component analysis in the stochastic differential privacy model. - Fanhua Shang; Zhihui Zhang; Tao Xu; Yuanyuan Liu 001; Hongying Liu 001 (UAI, 2021)

Efficient Asynchronous Semi-Stochastic Block Coordinate Descent Methods for Large-Scale SVD. - Fanhua Shang; Zhihui Zhang; Yuanyuan Liu 001; Hongying Liu 001; Jing Xu 008 (IEEE Access, 2021)

A Novel Learned Primal-Dual Network for Image Compressive Sensing. - Chaolong Zhang 004; Yuanyuan Liu 001; Fanhua Shang; Yangyang Li 001; Hongying Liu 001 (IEEE Access, 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 001 (Comput. Biol. Medicine, 2021)

Quantized Neural Networks via {-1, +1} Encoding Decomposition and Acceleration. - Qigong Sun; Xiufang Li; Fanhua Shang; Hongying Liu 001; Kang Yang; Licheng Jiao; Zhouchen Lin (CoRR, 2021)

Learned Interpretable Residual Extragradient ISTA for Sparse Coding. - Lin Kong; Wei Sun; Fanhua Shang; Yuanyuan Liu 001; Hongying Liu 001 (CoRR, 2021)

Accelerated Variance Reduction Stochastic ADMM for Large-Scale Machine Learning. - Yuanyuan Liu 001; Fanhua Shang; Hongying Liu 001; Lin Kong; Licheng Jiao; Zhouchen Lin (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Graph Convolutional Networks by Architecture Search for PolSAR Image Classification. - Hongying Liu 001; Derong Xu; Tianwen Zhu; Fanhua Shang; Yuanyuan Liu 001; Jianhua Lu; Ri Yang (Remote. Sens., 2021)

Deep Fuzzy Graph Convolutional Networks for PolSAR Imagery Pixelwise Classification. - Hongying Liu 001; Tianwen Zhu; Fanhua Shang; Yuanyuan Liu 001; Derui Lv; Shuyuan Yang 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Differentially Private ADMM Algorithms for Machine Learning. - Fanhua Shang; Tao Xu; Yuanyuan Liu 001; Hongying Liu 001; Longjie Shen; Maoguo Gong (IEEE Trans. Inf. Forensics Secur., 2021)

HNO: High-Order Numerical Architecture for ODE-Inspired Deep Unfolding Networks. - Lin Kong; Wei Sun; Fanhua Shang; Yuanyuan Liu 001; Hongying Liu 001 (AAAI, 2022)

Multi Recursive Residual Dense Attention GAN for Perceptual Image Super Resolution. - Linlin Yang; Hongying Liu 001; Yiming Li; Wenhao Zhou; Yuanyuan Liu 001; Xiaobiao Di; Lei Wang; Chuanwen Li (ICIS, 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 001; Fanhua Shang; Weixin An; Hongying Liu 001; Zhouchen Lin (ICML, 2022)

PWPROP: A Progressive Weighted Adaptive Method for Training Deep Neural Networks. - Dong Wang 004; Tao Xu; Huatian Zhang 001; Fanhua Shang; Hongying Liu 001; Yuanyuan Liu 001; Shengmei Shen (ICTAI, 2022)

A Numerical DEs Perspective on Unfolded Linearized ADMM Networks for Inverse Problems. - Weixin An; Yingjie Yue; Yuanyuan Liu 001; Fanhua Shang; Hongying Liu 001 (ACM Multimedia, 2022)

Balanced Gradient Penalty Improves Deep Long-Tailed Learning. - Dong Wang 004; Yicheng Liu; Liangji Fang; Fanhua Shang; Yuanyuan Liu 001; Hongying Liu 001 (ACM Multimedia, 2022)

Video super-resolution based on deep learning: a comprehensive survey. - Hongying Liu 001; Zhubo Ruan; Peng Zhao; Chao Dong 005; Fanhua Shang; Yuanyuan Liu 001; Linlin Yang; Radu Timofte (Artif. Intell. Rev., 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 001; Xitian Pi (Biomed. Signal Process. Control., 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 001; Xitian Pi (Comput. Biol. Medicine, 2022)

Loopless Variance Reduced Stochastic ADMM for Equality Constrained Problems in IoT Applications. - Yuanyuan Liu 001; Jiacheng Geng; Fanhua Shang; Weixin An; Hongying Liu 001; Qi Zhu (IEEE Internet Things J., 2022)

Laplacian Smoothing Stochastic ADMMs With Differential Privacy Guarantees. - Yuanyuan Liu 001; Jiacheng Geng; Fanhua Shang; Weixin An; Hongying Liu 001; Qi Zhu; Wei Feng 005 (IEEE Trans. Inf. Forensics Secur., 2022)

Asynchronous Parallel, Sparse Approximated SVRG for High-Dimensional Machine Learning. - Fanhua Shang; Hua Huang; Jun Fan; Yuanyuan Liu 001; Hongying Liu 001; Jianhui Liu (IEEE Trans. Knowl. Data Eng., 2022)

Efficient Gradient Support Pursuit With Less Hard Thresholding for Cardinality-Constrained Learning. - Fanhua Shang; Bingkun Wei; Hongying Liu 001; Yuanyuan Liu 001; Pan Zhou 002; Maoguo Gong (IEEE Trans. Neural Networks Learn. Syst., 2022)

Adaptive Non-Local Generative Adversarial Networks for Low-Dose CT Image Denoising. - Linlin Yang; Hongying Liu 001; Fanhua Shang; Yuanyuan Liu 001 (ICASSP, 2023)

Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer. - Zhijin Ge; Fanhua Shang; Hongying Liu 001; Yuanyuan Liu 001; Liang Wan; Wei Feng 005; Xiaosen Wang (ACM Multimedia, 2023)

A Single-Loop Accelerated Extra-Gradient Difference Algorithm with Improved Complexity Bounds for Constrained Minimax Optimization. - Yuanyuan Liu 001; Fanhua Shang; Weixin An; Junhao Liu; Hongying Liu 001; Zhouchen Lin (NeurIPS, 2023)

Boosting Adversarial Transferability by Achieving Flat Local Maxima. - Zhijin Ge; Xiaosen Wang; Hongying Liu 001; Fanhua Shang; Yuanyuan Liu 001 (NeurIPS, 2023)

Lightweight Super-Resolution with Self-Calibrated Convolution for Panoramic Videos. - Fanjie Shang; Hongying Liu 001; Wanhao Ma; Yuanyuan Liu 001; Licheng Jiao; Fanhua Shang; Lijun Wang; Zhenyu Zhou (Sensors, 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 001; Haiyan Jin (Remote. Sens., 2023)

SAVSR: Arbitrary-Scale Video Super-Resolution via a Learned Scale-Adaptive Network. - Zekun Li 001; Hongying Liu 001; Fanhua Shang; Yuanyuan Liu 001; Liang Wan; Wei Feng 005 (AAAI, 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 001; Liang Wan (FLARE@MICCAI, 2024)

FedBCGD: Communication-Efficient Accelerated Block Coordinate Gradient Descent for Federated Learning. - Junkang Liu; Fanhua Shang; Yuanyuan Liu 001; Hongying Liu 001; Yuangang Li 002; YunXiang Gong (ACM Multimedia, 2024)

Robust and Faster Zeroth-Order Minimax Optimization: Complexity and Applications. - Weixin An; Yuanyuan Liu 001; Fanhua Shang; Hongying Liu 001 (NeurIPS, 2024)

A single frame and multi-frame joint network for 360-degree panorama video super-resolution. - Hongying Liu 001; Wanhao Ma; Zhubo Ruan; Chaowei Fang; Fanhua Shang; Yuanyuan Liu 001; Lijun Wang; Chaoli Wang 001; Dongmei Jiang (Eng. Appl. Artif. Intell., 2024)

Arbitrary-scale Super-resolution via Deep Learning: A Comprehensive Survey. - Hongying Liu 001; Zekun Li 001; Fanhua Shang; Yuanyuan Liu 001; Liang Wang 001; Wei Feng 005; Radu Timofte (Inf. Fusion, 2024)

Accelerated Stochastic Variance Reduction Gradient Algorithms for Robust Subspace Clustering. - Hongying Liu 001; Linlin Yang; Longge Zhang; Fanhua Shang; Yuanyuan Liu 001; Lijun Wang (Sensors, 2024)

Gradient Correction for White-Box Adversarial Attacks. - Hongying Liu 001; Zhijin Ge; Zhenyu Zhou; Fanhua Shang; Yuanyuan Liu 001; Licheng Jiao (IEEE Trans. Neural Networks Learn. Syst., 2024)

Unsupervised Degradation Representation Aware Transform for Real-World Blind Image Super-Resolution. - Sen Chen; Hongying Liu 001; Chaowei Fang; Fanhua Shang; Yuanyuan Liu 001; Liang Wan; Dongmei Jiang; Yaowei Wang (AAAI, 2025)

Beyond Background Shift: Rethinking Instance Replay in Continual Semantic Segmentation. - Hongmei Yin; Tingliang Feng; Fan Lyu; Fanhua Shang; Hongying Liu 001; Wei Feng 005; Liang Wan (CVPR, 2025)

Distillation guided deep unfolding network with frequency hierarchical regularization for low-dose CT image denoising. - Linlin Yang; Hongying Liu 001; Yuanyuan Liu 001; Fanhua Shang; Liang Wan; Licheng Jiao (Neurocomputing, 2025)

Casual Inference via Style Bias Deconfounding for Domain Generalization. - Jiaxi Li; Di Lin 002; Hao Chen 011; Hongying Liu 001; Liang Wan; Wei Feng 005 (CoRR, 2025)

Beyond Background Shift: Rethinking Instance Replay in Continual Semantic Segmentation. - Hongmei Yin; Tingliang Feng; Fan Lyu; Fanhua Shang; Hongying Liu 001; Wei Feng 005; Liang Wang 001 (CoRR, 2025)

DEs-Inspired Accelerated Unfolded Linearized ADMM Networks for Inverse Problems. - Weixin An; Yuanyuan Liu 001; Fanhua Shang; Hongying Liu 001; Licheng Jiao (IEEE Trans. Neural Networks Learn. Syst., 2025)

Completed Feature Disentanglement Learning for Multimodal MRIs Analysis. - Tianling Liu; Hongying Liu 001; Fanhua Shang; Lequan Yu; Tong Han; Liang Wan (IEEE J. Biomed. Health Informatics, 2025)

FedSWA: Improving Generalization in Federated Learning with Highly Heterogeneous Data via Momentum-Based Stochastic Controlled Weight Averaging. - Junkang Liu; Yuanyuan Liu 001; Fanhua Shang; Hongying Liu 001; Jin Liu; Wei Feng 005 (CoRR, 2025)