Fanhua Shang - RankMe

182 papers A* 34A 10B 2C 1Misc 1Journal 125Unranked 9

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`	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`	Stochastic limited memory BFGS algorithms for solving nonconvex support vector machine problems and nonconvex risk minimization program. J. Comput. Appl. Math. Gonglin Yuan, Yingjie Zhou, Fanhua Shang, Zhijin Ge, Zhongzhou Jin
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	J	`jnl`	A large-scale combinatorial benchmark for sign language recognition. Pattern Recognit. Liqing Gao, Liang Wang, Lianyu Hu, Ruize Han, Zekang Liu, Peng Shi, Fanhua Shang, Wei Feng
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`	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	A	`conf`	Controllable Continual Test-Time Adaptation. ICME Ziqi Shi, Fan Lyu, Ye Liu, Fanhua Shang, Fuyuan Hu, Wei Feng, Zhang Zhang, Liang Wang
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	A*	`conf`	Dual Semantic Guidance for Open Vocabulary Semantic Segmentation. CVPR Zhengyang Wang, Tingliang Feng, Fan Lyu, Fanhua Shang, Wei Feng, Liang Wan
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	—	`conf`	Gloss-Free Sign Language Translation With Optical-Flow Guided Two-Stream Network. MMAsia Peidong Liu, Lianyu Hu, Tongkai Shi, Fanhua Shang, Jichao Feng, Wei Feng, Liang Wan
2025	J	`jnl`	ILoRA: Federated Learning with Low-Rank Adaptation for Heterogeneous Client Aggregation. CoRR Junchao Zhou, Junkang Liu, Fanhua Shang
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`	LightVLM: Acceleraing Large Multimodal Models with Pyramid Token Merging and KV Cache Compression. CoRR Lianyu Hu, Fanhua Shang, Wei Feng, Liang Wang
2025	J	`jnl`	SSL-SSAW: Self-Supervised Learning with Sigmoid Self-Attention Weighting for Question-Based Sign Language Translation. CoRR Zekang Liu, Wei Feng, Fanhua Shang, Lianyu Hu, Jichao Feng, Liqing Gao
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	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`	Compensate Quantization Errors+: Quantized Models Are Inquisitive Learners. CoRR Yifei Gao, Jie Ou, Lei Wang, Fanhua Shang, Jaji Wu, Jun Cheng
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	J	`jnl`	Controllable Continual Test-Time Adaptation. CoRR Ziqi Shi, Fan Lyu, Ye Liu, Fanhua Shang, Fuyuan Hu, Wei Feng, Zhang Zhang, Liang Wang
2024	A*	`conf`	Deep Correlated Prompting for Visual Recognition with Missing Modalities. NeurIPS Lianyu Hu, Tongkai Shi, Wei Feng, Fanhua Shang, Liang Wan
2024	J	`jnl`	Deep Correlated Prompting for Visual Recognition with Missing Modalities. CoRR Lianyu Hu, Tongkai Shi, Wei Feng, Fanhua Shang, Liang Wan
2024	J	`jnl`	Elastic Multi-Gradient Descent for Parallel Continual Learning. CoRR Fan Lyu, Wei Feng, Yuepan Li, Qing Sun, Fanhua Shang, Liang Wan, Liang Wang
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`	Long-Tailed Learning as Multi-Objective Optimization. AAAI Weiqi Li, Fan Lyu, Fanhua Shang, Liang Wan, Wei Feng
2024	J	`jnl`	Mix-tower: Light visual question answering framework based on exclusive self-attention mechanism. Neurocomputing Deguang Chen, Jianrui Chen, Luheng Yang, Fanhua Shang
2024	J	`jnl`	Overcoming Domain Drift in Online Continual Learning. CoRR Fan Lyu, Daofeng Liu, Linglan Zhao, Zhang Zhang, Fanhua Shang, Fuyuan Hu, Wei Feng, Liang Wang
2024	—	`conf`	Pose-Guided Fine-Grained Sign Language Video Generation. ECCV (77) Tongkai Shi, Lianyu Hu, Fanhua Shang, Jichao Feng, Peidong Liu, Wei Feng
2024	J	`jnl`	Pose-Guided Fine-Grained Sign Language Video Generation. CoRR Tongkai Shi, Lianyu Hu, Fanhua Shang, Jichao Feng, Peidong Liu, Wei Feng
2024	J	`jnl`	Relation mapping based on higher-order graph convolutional network for entity alignment. Eng. Appl. Artif. Intell. Luheng Yang, Jianrui Chen, Zhihui Wang, Fanhua Shang
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
2024	J	`jnl`	Towards stable training of parallel continual learning. CoRR Yuepan Li, Fan Lyu, Yuyang Li, Wei Feng, Guangcan Liu, Fanhua Shang
2024	J	`jnl`	iLLaVA: An Image is Worth Fewer Than 1/3 Input Tokens in Large Multimodal Models. CoRR Lianyu Hu, Fanhua Shang, 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	J	`jnl`	Fast and Effective: A Novel Sequential Single-Path Search for Mixed-Precision-Quantized Networks. IEEE Trans. Cybern. Qigong Sun, Xiufang Li, Licheng Jiao, Yan Ren, Fanhua Shang, Fang Liu
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`	Long-Tailed Learning as Multi-Objective Optimization. CoRR Weiqi Li, Fan Lyu, Fanhua Shang, Liang Wan, Wei Feng
2023	A*	`conf`	Measuring Asymmetric Gradient Discrepancy in Parallel Continual Learning. ICCV Fan Lyu, Qing Sun, Fanhua Shang, Liang Wan, Wei Feng
2023	J	`jnl`	Subgraph-aware virtual node matching Graph Attention Network for entity alignment. Expert Syst. Appl. Luheng Yang, Jianrui Chen, Zhihui Wang, Fanhua Shang
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	A*	`conf`	Exploring Example Influence in Continual Learning. NeurIPS Qing Sun, Fan Lyu, Fanhua Shang, Wei Feng, Liang Wan
2022	J	`jnl`	Exploring Example Influence in Continual Learning. CoRR Qing Sun, Fan Lyu, Fanhua Shang, Wei Feng, Liang Wan
2022	J	`jnl`	Global Convergence Guarantees of (A)GIST for a Family of Nonconvex Sparse Learning Problems. IEEE Trans. Cybern. Hengmin Zhang, Feng Qian, Fanhua Shang, Wenli Du, Jianjun Qian, Jian Yang
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	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`	A fuzzy matrix factor recommendation method with forgetting function and user features. Appl. Soft Comput. Jianrui Chen, Yanqing Lu, Fanhua Shang, Yuyang Wang
2021	J	`jnl`	A novel recommendation scheme with multifactorial weighted matrix decomposition strategies via forgetting rule. Eng. Appl. Artif. Intell. Jianrui Chen, Yanqing Lu, Fanhua Shang, Tingting Zhu
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`	Dual space latent representation learning for unsupervised feature selection. Pattern Recognit. Ronghua Shang, Lujuan Wang, Fanhua Shang, Licheng Jiao, Yangyang Li
2021	J	`jnl`	Effective and Fast: A Novel Sequential Single Path Search for Mixed-Precision Quantization. CoRR Qigong Sun, Licheng Jiao, Yan Ren, Xiufang Li, Fanhua Shang, Fang Liu
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	J	`jnl`	Graph Convolutional Neural Networks with Geometric and Discrimination information. Eng. Appl. Artif. Intell. Ronghua Shang, Yang Meng, Weitong Zhang, Fanhua Shang, Licheng Jiao, Shuyuan 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	J	`jnl`	MWQ: Multiscale Wavelet Quantized Neural Networks. CoRR Qigong Sun, Yan Ren, Licheng Jiao, Xiufang Li, Fanhua Shang, Fang 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
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`	A Unified Weight Learning and Low-Rank Regression Model for Robust Face Recognition. CoRR Miaohua Zhang, Yongsheng Gao, Fanhua Shang
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`	Data Augmentation Imbalance For Imbalanced Attribute Classification. CoRR Xiaying Bai, Yang Hu, Pan Zhou, Fanhua Shang, Shengmei Shen
2020	A*	`conf`	Deep Residual-Dense Lattice Network for Speech Enhancement. AAAI Mohammad Nikzad, Aaron Nicolson, Yongsheng Gao, Jun Zhou, Kuldip K. Paliwal, Fanhua Shang
2020	J	`jnl`	Deep Residual-Dense Lattice Network for Speech Enhancement. CoRR Mohammad Nikzad, Aaron Nicolson, Yongsheng Gao, Jun Zhou, Kuldip K. Paliwal, Fanhua Shang
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`	Layer Pruning via Fusible Residual Convolutional Block for Deep Neural Networks. CoRR Pengtao Xu, Jian Cao, Fanhua Shang, Wenyu Sun, Pu Li
2020	J	`jnl`	Semantic Segmentation for SAR Image Based on Texture Complexity Analysis and Key Superpixels. Remote. Sens. Ronghua Shang, Pei Peng, Fanhua Shang, Licheng Jiao, Yifei Shen, Rustam Stolkin
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`	Semi-Supervised Graph Regularized Deep NMF With Bi-Orthogonal Constraints for Data Representation. IEEE Trans. Neural Networks Learn. Syst. Yang Meng, Ronghua Shang, Fanhua Shang, Licheng Jiao, Shuyuan Yang, Rustam Stolkin
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`	Sparse and low-redundant subspace learning-based dual-graph regularized robust feature selection. Knowl. Based Syst. Ronghua Shang, Kaiming Xu, Fanhua Shang, 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	—	`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	B	`conf`	A Unified Approximation Framework for Compressing and Accelerating Deep Neural Networks. ICTAI Yuzhe Ma, Ran Chen, Wei Li, Fanhua Shang, Wenjian Yu, Minsik Cho, Bei Yu
2019	A*	`conf`	Accelerated Incremental Gradient Descent using Momentum Acceleration with Scaling Factor. IJCAI Yuanyuan Liu, Fanhua Shang, Licheng Jiao
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	A	`conf`	Direct Acceleration of SAGA using Sampled Negative Momentum. AISTATS Kaiwen Zhou, Qinghua Ding, Fanhua Shang, James Cheng, Danli Li, Zhi-Quan Luo
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`	LRR for Subspace Segmentation via Tractable Schatten- $p$ Norm Minimization and Factorization. IEEE Trans. Cybern. Hengmin Zhang, Jian Yang, Fanhua Shang, Chen Gong, Zhenyu Zhang
2019	J	`jnl`	Local discriminative based sparse subspace learning for feature selection. Pattern Recognit. Ronghua Shang, Yang Meng, Wenbing Wang, Fanhua Shang, Licheng Jiao
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	J	`jnl`	Multi-Precision Quantized Neural Networks via Encoding Decomposition of -1 and +1. CoRR Qigong Sun, Fanhua Shang, Kang Yang, Xiufang Li, Yan Ren, Licheng Jiao
2019	A*	`conf`	Multi-Precision Quantized Neural Networks via Encoding Decomposition of {-1, +1}. AAAI Qigong Sun, Fanhua Shang, Kang Yang, Xiufang Li, Yan Ren, Licheng Jiao
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	A*	`conf`	A Simple Stochastic Variance Reduced Algorithm with Fast Convergence Rates. ICML Kaiwen Zhou, Fanhua Shang, James Cheng
2018	J	`jnl`	A Simple Stochastic Variance Reduced Algorithm with Fast Convergence Rates. CoRR Kaiwen Zhou, Fanhua Shang, James Cheng
2018	J	`jnl`	A Unified Approximation Framework for Deep Neural Networks. CoRR Yuzhe Ma, Ran Chen, Wei Li, Fanhua Shang, Wenjian Yu, Minsik Cho, Bei Yu
2018	C	`conf`	ASVRG: Accelerated Proximal SVRG. ACML Fanhua Shang, Licheng Jiao, Kaiwen Zhou, James Cheng, Yan Ren, Yufei Jin
2018	J	`jnl`	ASVRG: Accelerated Proximal SVRG. CoRR Fanhua Shang, Licheng Jiao, Kaiwen Zhou, James Cheng, Yan Ren, Yufei Jin
2018	J	`jnl`	Bilinear Factor Matrix Norm Minimization for Robust PCA: Algorithms and Applications. CoRR Fanhua Shang, James Cheng, Yuanyuan Liu, Zhi-Quan Luo, Zhouchen Lin
2018	J	`jnl`	Bilinear Factor Matrix Norm Minimization for Robust PCA: Algorithms and Applications. IEEE Trans. Pattern Anal. Mach. Intell. Fanhua Shang, James Cheng, Yuanyuan Liu, Zhi-Quan Luo, Zhouchen Lin
2018	J	`jnl`	Fuzzy Double Trace Norm Minimization for Recommendation Systems. IEEE Trans. Fuzzy Syst. Fanhua Shang, Yuanyuan Liu, James Cheng, Da Yan
2018	A	`conf`	Guaranteed Sufficient Decrease for Stochastic Variance Reduced Gradient Optimization. AISTATS Fanhua Shang, Yuanyuan Liu, Kaiwen Zhou, James Cheng, Kelvin Kai Wing Ng, Yuichi Yoshida
2018	J	`jnl`	Guaranteed Sufficient Decrease for Stochastic Variance Reduced Gradient Optimization. CoRR Fanhua Shang, Yuanyuan Liu, Kaiwen Zhou, James Cheng, Kelvin Kai Wing Ng, Yuichi Yoshida
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`	Tractable and Scalable Schatten Quasi-Norm Approximations for Rank Minimization. CoRR Fanhua Shang, Yuanyuan Liu, James Cheng
2018	J	`jnl`	VR-SGD: A Simple Stochastic Variance Reduction Method for Machine Learning. CoRR Fanhua Shang, Kaiwen Zhou, James Cheng, Ivor W. Tsang, Lijun Zhang, Dacheng Tao
2017	—	`conf`	Accelerated First-order Methods for Geodesically Convex Optimization on Riemannian Manifolds. NIPS Yuanyuan Liu, Fanhua Shang, James Cheng, Hong Cheng, Licheng Jiao
2017	A*	`conf`	Accelerated Variance Reduced Stochastic ADMM. AAAI Yuanyuan Liu, Fanhua Shang, James Cheng
2017	J	`jnl`	Accelerated Variance Reduced Stochastic ADMM. CoRR Yuanyuan Liu, Fanhua Shang, James Cheng
2017	J	`jnl`	Fast Stochastic Variance Reduced Gradient Method with Momentum Acceleration for Machine Learning. CoRR Fanhua Shang, Yuanyuan Liu, James Cheng, Jiacheng Zhuo
2017	J	`jnl`	LFTF: A Framework for Efficient Tensor Analytics at Scale. Proc. VLDB Endow. Fan Yang, Fanhua Shang, Yuzhen Huang, James Cheng, Jinfeng Li, Yunjian Zhao, Ruihao Zhao
2017	J	`jnl`	Larger is Better: The Effect of Learning Rates Enjoyed by Stochastic Optimization with Progressive Variance Reduction. CoRR Fanhua Shang
2017	J	`jnl`	Variance Reduced Stochastic Gradient Descent with Sufficient Decrease. CoRR Fanhua Shang, Yuanyuan Liu, James Cheng, Kelvin Kai Wing Ng, Yuichi Yoshida
2016	J	`jnl`	Generalized Higher Order Orthogonal Iteration for Tensor Learning and Decomposition. IEEE Trans. Neural Networks Learn. Syst. Yuanyuan Liu, Fanhua Shang, Wei Fan, James Cheng, Hong Cheng
2016	A*	`conf`	Scalable Algorithms for Tractable Schatten Quasi-Norm Minimization. AAAI Fanhua Shang, Yuanyuan Liu, James Cheng
2016	J	`jnl`	Scalable Algorithms for Tractable Schatten Quasi-Norm Minimization. CoRR Fanhua Shang, Yuanyuan Liu, James Cheng
2016	A	`conf`	Tractable and Scalable Schatten Quasi-Norm Approximations for Rank Minimization. AISTATS Fanhua Shang, Yuanyuan Liu, James Cheng
2016	J	`jnl`	Unified Scalable Equivalent Formulations for Schatten Quasi-Norms. CoRR Fanhua Shang, Yuanyuan Liu, James Cheng
2015	J	`jnl`	Regularized Orthogonal Tensor Decompositions for Multi-Relational Learning. CoRR Fanhua Shang, Yuanyuan Liu, James Cheng, Hong Cheng
2015	J	`jnl`	Robust bilinear factorization with missing and grossly corrupted observations. Inf. Sci. Fanhua Shang, Yuanyuan Liu, Hanghang Tong, James Cheng, Hong Cheng
2015	J	`jnl`	Trace Norm Regularized CANDECOMP/PARAFAC Decomposition With Missing Data. IEEE Trans. Cybern. Yuanyuan Liu, Fanhua Shang, Licheng Jiao, James Cheng, Hong Cheng
2014	J	`jnl`	Double linear regressions for single labeled image per person face recognition. Pattern Recognit. Fei Yin, Licheng Jiao, Fanhua Shang, Lin Xiong, Shasha Mao
2014	A	`conf`	Factor Matrix Trace Norm Minimization for Low-Rank Tensor Completion. SDM Yuanyuan Liu, Fanhua Shang, Hong Cheng, James Cheng, Hanghang Tong
2014	—	`conf`	Generalized Higher-Order Orthogonal Iteration for Tensor Decomposition and Completion. NIPS Yuanyuan Liu, Fanhua Shang, Wei Fan, James Cheng, Hong Cheng
2014	A*	`conf`	Generalized Higher-Order Tensor Decomposition via Parallel ADMM. AAAI Fanhua Shang, Yuanyuan Liu, James Cheng
2014	J	`jnl`	Generalized Higher-Order Tensor Decomposition via Parallel ADMM. CoRR Fanhua Shang, Yuanyuan Liu, James Cheng
2014	J	`jnl`	Maximum margin multiple-instance feature weighting. Pattern Recognit. Jing Chai, Hongtao Chen, Lixia Huang, Fanhua Shang
2014	A	`conf`	Nuclear Norm Regularized Least Squares Optimization on Grassmannian Manifolds. UAI Yuanyuan Liu, Fanhua Shang, Hong Cheng, James Cheng
2014	A*	`conf`	Recovering Low-Rank and Sparse Matrices via Robust Bilateral Factorization. ICDM Fanhua Shang, Yuanyuan Liu, James Cheng, Hong Cheng
2014	A	`conf`	Robust Principal Component Analysis with Missing Data. CIKM Fanhua Shang, Yuanyuan Liu, James Cheng, Hong Cheng
2014	J	`jnl`	Sparse regularization discriminant analysis for face recognition. Neurocomputing Fei Yin, Licheng Jiao, Fanhua Shang, Lin Xiong, Xiaodong Wang
2014	J	`jnl`	Structured Low-Rank Matrix Factorization with Missing and Grossly Corrupted Observations. CoRR Fanhua Shang, Yuanyuan Liu, Hanghang Tong, James Cheng, Hong Cheng
2013	J	`jnl`	A fast tri-factorization method for low-rank matrix recovery and completion. Pattern Recognit. Yuanyuan Liu, Licheng Jiao, Fanhua Shang
2013	J	`jnl`	An Efficient Matrix Factorization Method for Tensor Completion. IEEE Signal Process. Lett. Yuanyuan Liu, Fanhua Shang
2013	J	`jnl`	An efficient matrix bi-factorization alternative optimization method for low-rank matrix recovery and completion. Neural Networks Yuanyuan Liu, Licheng Jiao, Fanhua Shang, Fei Yin, Fang Liu
2013	J	`jnl`	An efficient matrix factorization based low-rank representation for subspace clustering. Pattern Recognit. Yuanyuan Liu, Licheng Jiao, Fanhua Shang
2013	J	`jnl`	Fast Fisher Sparsity Preserving Projections. Neural Comput. Appl. Fei Yin, Licheng Jiao, Fanhua Shang, Shuang Wang, Biao Hou
2013	J	`jnl`	Semi-supervised learning with nuclear norm regularization. Pattern Recognit. Fanhua Shang, Licheng Jiao, Yuanyuan Liu, Hanghang Tong
2013	J	`jnl`	Sparse coding and classifier ensemble based multi-instance learning for image categorization. Signal Process. Xiangfa Song, Licheng Jiao, Shuyuan Yang, Xiangrong Zhang, Fanhua Shang
2012	J	`jnl`	An evidential reasoning based classification algorithm and its application for face recognition with class noise. Pattern Recognit. Xiaodong Wang, Fang Liu, Licheng Jiao, Zhiguo Zhou, Jingjing Yu, Bing Li, Jianrui Chen, Jiao Wu, Fanhua Shang
2012	J	`jnl`	Fast affinity propagation clustering: A multilevel approach. Pattern Recognit. Fanhua Shang, Licheng Jiao, Jiarong Shi, Fei Wang, Maoguo Gong
2012	J	`jnl`	Fast semi-supervised clustering with enhanced spectral embedding. Pattern Recognit. Licheng Jiao, Fanhua Shang, Fei Wang, Yuanyuan Liu
2012	J	`jnl`	Graph dual regularization non-negative matrix factorization for co-clustering. Pattern Recognit. Fanhua Shang, Licheng Jiao, Fei Wang
2012	J	`jnl`	Integrating Spectral Kernel Learning and Constraints in Semi-Supervised Classification. Neural Process. Lett. Fanhua Shang, Licheng Jiao, Yuanyuan Liu
2012	A	`conf`	Learning spectral embedding via iterative eigenvalue thresholding. CIKM Fanhua Shang, Licheng Jiao, Yuanyuan Liu, Fei Wang
2012	A*	`conf`	Semi-supervised learning with mixed knowledge information. KDD Fanhua Shang, Licheng Jiao, Fei Wang
2011	J	`jnl`	Fast density-weighted low-rank approximation spectral clustering. Data Min. Knowl. Discov. Fanhua Shang, Licheng Jiao, Jiarong Shi, Maoguo Gong, Ronghua Shang
2011	A*	`conf`	Learning Spectral Embedding for Semi-supervised Clustering. ICDM Fanhua Shang, Yuanyuan Liu, Fei Wang
2011	J	`jnl`	Robust Positive semidefinite L-Isomap Ensemble. Pattern Recognit. Lett. Fanhua Shang, Licheng Jiao, Jiarong Shi, Jing Chai