Fanhua Shang

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 115

Top Venues

CoRR

AAAI

IEEE Trans. Neural Networks Learn. Syst.

ACM Multimedia

Publications

Zekun Li, Hongying Liu, Fanhua Shang, Yuanyuan Liu, Liang Wan, Wei Feng
SAVSR: Arbitrary-Scale Video Super-Resolution via a Learned Scale-Adaptive Network. AAAI (2024)
Fan Lyu, Wei Feng, Yuepan Li, Qing Sun, Fanhua Shang, Liang Wan, Liang Wang
Elastic Multi-Gradient Descent for Parallel Continual Learning. CoRR (2024)
Ziqi Shi, Fan Lyu, Ye Liu, Fanhua Shang, Fuyuan Hu, Wei Feng, Zhang Zhang, Liang Wang
Controllable Continual Test-Time Adaptation. CoRR (2024)
Fan Lyu, Daofeng Liu, Linglan Zhao, Zhang Zhang, Fanhua Shang, Fuyuan Hu, Wei Feng, Liang Wang
Overcoming Domain Drift in Online Continual Learning. CoRR (2024)
Luheng Yang, Jianrui Chen, Zhihui Wang, Fanhua Shang
Relation mapping based on higher-order graph convolutional network for entity alignment. Eng. Appl. Artif. Intell. 133 (2024)
Hongying Liu, Zekun Li, Fanhua Shang, Yuanyuan Liu, Liang Wang, Wei Feng, Radu Timofte
Arbitrary-scale Super-resolution via Deep Learning: A Comprehensive Survey. Inf. Fusion 102 (2024)
Hongying Liu, Wanhao Ma, Zhubo Ruan, Chaowei Fang, Fanhua Shang, Yuanyuan Liu, Lijun Wang, Chaoli Wang, Dongmei Jiang
A single frame and multi-frame joint network for 360-degree panorama video super-resolution. Eng. Appl. Artif. Intell. 134 (2024)
Yuepan Li, Fan Lyu, Yuyang Li, Wei Feng, Guangcan Liu, Fanhua Shang
Towards stable training of parallel continual learning. CoRR (2024)
Weiqi Li, Fan Lyu, Fanhua Shang, Liang Wan, Wei Feng
Long-Tailed Learning as Multi-Objective Optimization. AAAI (2024)
Hongying Liu, Linlin Yang, Longge Zhang, Fanhua Shang, Yuanyuan Liu, Lijun Wang
Accelerated Stochastic Variance Reduction Gradient Algorithms for Robust Subspace Clustering. Sensors 24 (11) (2024)
Tianling Liu, Hongying Liu, Fanhua Shang, Lequan Yu, Tong Han, Liang Wan
Completed Feature Disentanglement Learning for Multimodal MRIs Analysis. CoRR (2024)
Deguang Chen, Jianrui Chen, Luheng Yang, Fanhua Shang
Mix-tower: Light visual question answering framework based on exclusive self-attention mechanism. Neurocomputing 587 (2024)
Yifei Gao, Jie Ou, Lei Wang, Fanhua Shang, Jaji Wu, Jun Cheng
Compensate Quantization Errors+: Quantized Models Are Inquisitive Learners. CoRR (2024)
Luheng Yang, Jianrui Chen, Zhihui Wang, Fanhua Shang
Subgraph-aware virtual node matching Graph Attention Network for entity alignment. Expert Syst. Appl. 231 (2023)
Linlin Yang, Hongying Liu, Fanhua Shang, Yuanyuan Liu
Adaptive Non-Local Generative Adversarial Networks for Low-Dose CT Image Denoising. ICASSP (2023)
Zhijin Ge, Fanhua Shang, Hongying Liu, Yuanyuan Liu, Liang Wan, Wei Feng, Xiaosen Wang
Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer. CoRR (2023)
Zhijin Ge, Fanhua Shang, Hongying Liu, Yuanyuan Liu, Xiaosen Wang
Boosting Adversarial Transferability by Achieving Flat Local Maxima. CoRR (2023)
Zhijin Ge, Fanhua Shang, Hongying Liu, Yuanyuan Liu, Liang Wan, Wei Feng, Xiaosen Wang
Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer. ACM Multimedia (2023)
Zhijin Ge, Xiaosen Wang, Hongying Liu, Fanhua Shang, Yuanyuan Liu
Boosting Adversarial Transferability by Achieving Flat Local Maxima. NeurIPS (2023)
Weiqi Li, Fan Lyu, Fanhua Shang, Liang Wan, Wei Feng
Long-Tailed Learning as Multi-Objective Optimization. CoRR (2023)
Fanjie Shang, Hongying Liu, Wanhao Ma, Yuanyuan Liu, Licheng Jiao, Fanhua Shang, Lijun Wang, Zhenyu Zhou
Lightweight Super-Resolution with Self-Calibrated Convolution for Panoramic Videos. Sensors 23 (1) (2023)
Fan Lyu, Qing Sun, Fanhua Shang, Liang Wan, Wei Feng
Measuring Asymmetric Gradient Discrepancy in Parallel Continual Learning. ICCV (2023)
Yuanyuan Liu, Fanhua Shang, Weixin An, Junhao Liu, Hongying Liu, Zhouchen Lin
A Single-Loop Accelerated Extra-Gradient Difference Algorithm with Improved Complexity Bounds for Constrained Minimax Optimization. NeurIPS (2023)
Qigong Sun, Xiufang Li, Licheng Jiao, Yan Ren, Fanhua Shang, Fang Liu
Fast and Effective: A Novel Sequential Single-Path Search for Mixed-Precision-Quantized Networks. IEEE Trans. Cybern. 53 (10) (2023)
Dong Wang, Tao Xu, Huatian Zhang, Fanhua Shang, Hongying Liu, Yuanyuan Liu, Shengmei Shen
PWPROP: A Progressive Weighted Adaptive Method for Training Deep Neural Networks. ICTAI (2022)
Weixin An, Yingjie Yue, Yuanyuan Liu, Fanhua Shang, Hongying Liu
A Numerical DEs Perspective on Unfolded Linearized ADMM Networks for Inverse Problems. ACM Multimedia (2022)
Yuanyuan Liu, Jiacheng Geng, Fanhua Shang, Weixin An, Hongying Liu, Qi Zhu
Loopless Variance Reduced Stochastic ADMM for Equality Constrained Problems in IoT Applications. IEEE Internet Things J. 9 (3) (2022)
Qing Sun, Fan Lyu, Fanhua Shang, Wei Feng, Liang Wan
Exploring Example Influence in Continual Learning. NeurIPS (2022)
Yuanyuan Liu, Fanhua Shang, Weixin An, Hongying Liu, Zhouchen Lin
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 (2022)
Hengmin Zhang, Feng Qian, Fanhua Shang, Wenli Du, Jianjun Qian, Jian Yang
Global Convergence Guarantees of (A)GIST for a Family of Nonconvex Sparse Learning Problems. IEEE Trans. Cybern. 52 (5) (2022)
Hongying Liu, Zhubo Ruan, Peng Zhao, Chao Dong, Fanhua Shang, Yuanyuan Liu, Linlin Yang, Radu Timofte
Video super-resolution based on deep learning: a comprehensive survey. Artif. Intell. Rev. 55 (8) (2022)
Fanhua Shang, Hua Huang, Jun Fan, Yuanyuan Liu, Hongying Liu, Jianhui Liu
Asynchronous Parallel, Sparse Approximated SVRG for High-Dimensional Machine Learning. IEEE Trans. Knowl. Data Eng. 34 (12) (2022)
Fanhua Shang, Bingkun Wei, Hongying Liu, Yuanyuan Liu, Pan Zhou, Maoguo Gong
Efficient Gradient Support Pursuit With Less Hard Thresholding for Cardinality-Constrained Learning. IEEE Trans. Neural Networks Learn. Syst. 33 (12) (2022)
Lin Kong, Wei Sun, Fanhua Shang, Yuanyuan Liu, Hongying Liu
HNO: High-Order Numerical Architecture for ODE-Inspired Deep Unfolding Networks. AAAI (2022)
Dong Wang, Yicheng Liu, Liangji Fang, Fanhua Shang, Yuanyuan Liu, Hongying Liu
Balanced Gradient Penalty Improves Deep Long-Tailed Learning. ACM Multimedia (2022)
Yuanyuan Liu, Jiacheng Geng, Fanhua Shang, Weixin An, Hongying Liu, Qi Zhu, Wei Feng
Laplacian Smoothing Stochastic ADMMs With Differential Privacy Guarantees. IEEE Trans. Inf. Forensics Secur. 17 (2022)
Qing Sun, Fan Lyu, Fanhua Shang, Wei Feng, Liang Wan
Exploring Example Influence in Continual Learning. CoRR (2022)
Ronghua Shang, Lujuan Wang, Fanhua Shang, Licheng Jiao, Yangyang Li
Dual space latent representation learning for unsupervised feature selection. Pattern Recognit. 114 (2021)
Yuanyuan Liu, Fanhua Shang, Hongying Liu, Lin Kong, Licheng Jiao, Zhouchen Lin
Accelerated Variance Reduction Stochastic ADMM for Large-Scale Machine Learning. IEEE Trans. Pattern Anal. Mach. Intell. 43 (12) (2021)
Fanhua Shang, Zhihui Zhang, Tao Xu, Yuanyuan Liu, Hongying Liu
Principal component analysis in the stochastic differential privacy model. UAI (2021)
Hua Huang, Fanhua Shang, Yuanyuan Liu, Hongying Liu
Behavior Mimics Distribution: Combining Individual and Group Behaviors for Federated Learning. IJCAI (2021)
Qigong Sun, Xiufang Li, Fanhua Shang, Hongying Liu, Kang Yang, Licheng Jiao, Zhouchen Lin
Quantized Neural Networks via {-1, +1} Encoding Decomposition and Acceleration. CoRR (2021)
Hongying Liu, Derong Xu, Tianwen Zhu, Fanhua Shang, Yuanyuan Liu, Jianhua Lu, Ri Yang
Graph Convolutional Networks by Architecture Search for PolSAR Image Classification. Remote. Sens. 13 (7) (2021)
Chaolong Zhang, Yuanyuan Liu, Fanhua Shang, Yangyang Li, Hongying Liu
A Novel Learned Primal-Dual Network for Image Compressive Sensing. IEEE Access 9 (2021)
Fanhua Shang, Tao Xu, Yuanyuan Liu, Hongying Liu, Longjie Shen, Maoguo Gong
Differentially Private ADMM Algorithms for Machine Learning. IEEE Trans. Inf. Forensics Secur. 16 (2021)
Jianrui Chen, Yanqing Lu, Fanhua Shang, Tingting Zhu
A novel recommendation scheme with multifactorial weighted matrix decomposition strategies via forgetting rule. Eng. Appl. Artif. Intell. 101 (2021)
Hongying Liu, Peng Zhao, Zhubo Ruan, Fanhua Shang, Yuanyuan Liu
Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling. AAAI (2021)
Hongying Liu, Peng Zhao, Zhubo Ruan, Fanhua Shang, Yuanyuan Liu
Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling. CoRR (2021)
Hongying Liu, Ruyi Luo, Fanhua Shang, Mantang Niu, Yuanyuan Liu
Progressive Semantic Matching for Video-Text Retrieval. ACM Multimedia (2021)
Qigong Sun, Yan Ren, Licheng Jiao, Xiufang Li, Fanhua Shang, Fang Liu
MWQ: Multiscale Wavelet Quantized Neural Networks. CoRR (2021)
Qigong Sun, Licheng Jiao, Yan Ren, Xiufang Li, Fanhua Shang, Fang Liu
Effective and Fast: A Novel Sequential Single Path Search for Mixed-Precision Quantization. CoRR (2021)
Hua Huang, Fanhua Shang, Yuanyuan Liu, Hongying Liu
Behavior Mimics Distribution: Combining Individual and Group Behaviors for Federated Learning. CoRR (2021)
Hongying Liu, Tianwen Zhu, Fanhua Shang, Yuanyuan Liu, Derui Lv, Shuyuan Yang
Deep Fuzzy Graph Convolutional Networks for PolSAR Imagery Pixelwise Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14 (2021)
Lin Kong, Wei Sun, Fanhua Shang, Yuanyuan Liu, Hongying Liu
Learned Interpretable Residual Extragradient ISTA for Sparse Coding. CoRR (2021)
Fanhua Shang, Zhihui Zhang, Yuanyuan Liu, Hongying Liu, Jing Xu
Efficient Asynchronous Semi-Stochastic Block Coordinate Descent Methods for Large-Scale SVD. IEEE Access 9 (2021)
Yangyang Li, Lin Kong, Fanhua Shang, Yuanyuan Liu, Hongying Liu, Zhouchen Lin
Learned Extragradient ISTA with Interpretable Residual Structures for Sparse Coding. AAAI (2021)
Ronghua Shang, Yang Meng, Weitong Zhang, Fanhua Shang, Licheng Jiao, Shuyuan Yang
Graph Convolutional Neural Networks with Geometric and Discrimination information. Eng. Appl. Artif. Intell. 104 (2021)
Jianrui Chen, Yanqing Lu, Fanhua Shang, Yuyang Wang
A fuzzy matrix factor recommendation method with forgetting function and user features. Appl. Soft Comput. 100 (2021)
Hongying Liu, Zhenyu Zhou, Fanhua Shang, Xiaoyu Qi, Yuanyuan Liu, Licheng Jiao
Boosting Gradient for White-Box Adversarial Attacks. CoRR (2020)
Pengtao Xu, Jian Cao, Fanhua Shang, Wenyu Sun, Pu Li
Layer Pruning via Fusible Residual Convolutional Block for Deep Neural Networks. CoRR (2020)
Xiaying Bai, Yang Hu, Pan Zhou, Fanhua Shang, Shengmei Shen
Data Augmentation Imbalance For Imbalanced Attribute Classification. CoRR (2020)
Hongying Liu, Ruyi Luo, Fanhua Shang, Xuechun Meng, Shuiping Gou, Biao Hou
Semi-Supervised Deep Metric Learning Networks for Classification of Polarimetric SAR Data. Remote. Sens. 12 (10) (2020)
Mohammad Nikzad, Aaron Nicolson, Yongsheng Gao, Jun Zhou, Kuldip K. Paliwal, Fanhua Shang
Deep Residual-Dense Lattice Network for Speech Enhancement. AAAI (2020)
Fanhua Shang, Bingkun Wei, Yuanyuan Liu, Hongying Liu, Shuang Wang, Licheng Jiao
Stochastic Recursive Gradient Support Pursuit and Its Sparse Representation Applications. Sensors 20 (17) (2020)
Ronghua Shang, Kaiming Xu, Fanhua Shang, Licheng Jiao
Sparse and low-redundant subspace learning-based dual-graph regularized robust feature selection. Knowl. Based Syst. 187 (2020)
Mohammad Nikzad, Aaron Nicolson, Yongsheng Gao, Jun Zhou, Kuldip K. Paliwal, Fanhua Shang
Deep Residual-Dense Lattice Network for Speech Enhancement. CoRR (2020)
Hongying Liu, Zhubo Ruan, Peng Zhao, Fanhua Shang, Linlin Yang, Yuanyuan Liu
Video Super Resolution Based on Deep Learning: A comprehensive survey. CoRR (2020)
Fanhua Shang, Kaiwen Zhou, Hongying Liu, James Cheng, Ivor W. Tsang, Lijun Zhang, Dacheng Tao, Licheng Jiao
VR-SGD: A Simple Stochastic Variance Reduction Method for Machine Learning. IEEE Trans. Knowl. Data Eng. 32 (1) (2020)
Hongying Liu, Fanhua Shang, Shuyuan Yang, Maoguo Gong, Tianwen Zhu, Licheng Jiao
Sparse Manifold-Regularized Neural Networks for Polarimetric SAR Terrain Classification. IEEE Trans. Neural Networks Learn. Syst. 31 (8) (2020)
Hongying Liu, Zhubo Ruan, Chaowei Fang, Peng Zhao, Fanhua Shang, Yuanyuan Liu, Lijun Wang
A Single Frame and Multi-Frame Joint Network for 360-degree Panorama Video Super-Resolution. CoRR (2020)
Tao Xu, Fanhua Shang, Yuanyuan Liu, Hongying Liu, Longjie Shen, Maoguo Gong
Differentially Private ADMM Algorithms for Machine Learning. CoRR (2020)
Yang Meng, Ronghua Shang, Fanhua Shang, Licheng Jiao, Shuyuan Yang, Rustam Stolkin
Semi-Supervised Graph Regularized Deep NMF With Bi-Orthogonal Constraints for Data Representation. IEEE Trans. Neural Networks Learn. Syst. 31 (9) (2020)
Miaohua Zhang, Yongsheng Gao, Fanhua Shang
A Unified Weight Learning and Low-Rank Regression Model for Robust Face Recognition. CoRR (2020)
Ronghua Shang, Pei Peng, Fanhua Shang, Licheng Jiao, Yifei Shen, Rustam Stolkin
Semantic Segmentation for SAR Image Based on Texture Complexity Analysis and Key Superpixels. Remote. Sens. 12 (13) (2020)
Hongying Liu, Zhongshu Wang, Fanhua Shang, Mingyang Zhang, Maoguo Gong, Feihang Ge, Licheng Jiao
A Novel Deep Framework for Change Detection of Multi-source Heterogeneous Images. ICDM Workshops (2019)
Ronghua Shang, Yang Meng, Wenbing Wang, Fanhua Shang, Licheng Jiao
Local discriminative based sparse subspace learning for feature selection. Pattern Recognit. 92 (2019)
Yuzhe Ma, Ran Chen, Wei Li, Fanhua Shang, Wenjian Yu, Minsik Cho, Bei Yu
A Unified Approximation Framework for Compressing and Accelerating Deep Neural Networks. ICTAI (2019)
Hongying Liu, Xiongjie Shen, Fanhua Shang, Fei Wang
CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor Segmentation. CoRR (2019)
Dong Wang, Yicheng Liu, Wenwo Tang, Fanhua Shang, Hongying Liu, Qigong Sun, Licheng Jiao
signADAM++: Learning Confidences for Deep Neural Networks. ICDM Workshops (2019)
Qigong Sun, Fanhua Shang, Kang Yang, Xiufang Li, Yan Ren, Licheng Jiao
Multi-Precision Quantized Neural Networks via Encoding Decomposition of {-1, +1}. AAAI (2019)
Kaiwen Zhou, Qinghua Ding, Fanhua Shang, James Cheng, Danli Li, Zhi-Quan Luo
Direct Acceleration of SAGA using Sampled Negative Momentum. AISTATS (2019)
Fanhua Shang, Zhihui Zhang, Yuying An, Yang Hu, Hongying Liu
Efficient Parallel Stochastic Variance Reduction Algorithms for Large-Scale SVD. ICDM Workshops (2019)
Yuanyuan Liu, Fanhua Shang, Licheng Jiao
Accelerated Incremental Gradient Descent using Momentum Acceleration with Scaling Factor. IJCAI (2019)
Lin Kong, Xiaying Bai, Yang Hu, Fanhua Shang, Yuanyuan Liu, Hongying Liu
A Stochastic Variance Reduced Extragradient Method for Sparse Machine Learning Problems. ICDM Workshops (2019)
Qigong Sun, Fanhua Shang, Kang Yang, Xiufang Li, Yan Ren, Licheng Jiao
Multi-Precision Quantized Neural Networks via Encoding Decomposition of -1 and +1. CoRR (2019)
Hengmin Zhang, Jian Yang, Fanhua Shang, Chen Gong, Zhenyu Zhang
LRR for Subspace Segmentation via Tractable Schatten- $p$ Norm Minimization and Factorization. IEEE Trans. Cybern. 49 (5) (2019)
Dong Wang, Yicheng Liu, Wenwo Tang, Fanhua Shang, Hongying Liu, Qigong Sun, Licheng Jiao
signADAM: Learning Confidences for Deep Neural Networks. CoRR (2019)
Hongying Liu, Xiongjie Shen, Fanhua Shang, Feihang Ge, Fei Wang
CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor Segmentation. MBIA/MFCA@MICCAI (2019)
Fanhua Shang, Bingkun Wei, Hongying Liu, Yuanyuan Liu, Jiacheng Zhuo
Efficient Relaxed Gradient Support Pursuit for Sparsity Constrained Non-convex Optimization. CoRR (2019)
Xiangyang Liu, Bingkun Wei, Fanhua Shang, Hongying Liu
Loopless Semi-Stochastic Gradient Descent with Less Hard Thresholding for Sparse Learning. CIKM (2019)
Fanhua Shang, Licheng Jiao, Kaiwen Zhou, James Cheng, Yan Ren, Yufei Jin
ASVRG: Accelerated Proximal SVRG. CoRR (2018)
Fanhua Shang, Licheng Jiao, Kaiwen Zhou, James Cheng, Yan Ren, Yufei Jin
ASVRG: Accelerated Proximal SVRG. ACML (2018)
Fanhua Shang, Yuanyuan Liu, Kaiwen Zhou, James Cheng, Kelvin Kai Wing Ng, Yuichi Yoshida
Guaranteed Sufficient Decrease for Stochastic Variance Reduced Gradient Optimization. AISTATS (2018)
Fanhua Shang, Yuanyuan Liu, Kaiwen Zhou, James Cheng, Kelvin Kai Wing Ng, Yuichi Yoshida
Guaranteed Sufficient Decrease for Stochastic Variance Reduced Gradient Optimization. CoRR (2018)
Fanhua Shang, James Cheng, Yuanyuan Liu, Zhi-Quan Luo, Zhouchen Lin
Bilinear Factor Matrix Norm Minimization for Robust PCA: Algorithms and Applications. IEEE Trans. Pattern Anal. Mach. Intell. 40 (9) (2018)
Hongying Liu, Zhi Wang, Fanhua Shang, Shuyuan Yang, Shuiping Gou, Licheng Jiao
Semi-Supervised Tensorial Locally Linear Embedding for Feature Extraction Using PolSAR Data. IEEE J. Sel. Top. Signal Process. 12 (6) (2018)
Fanhua Shang, James Cheng, Yuanyuan Liu, Zhi-Quan Luo, Zhouchen Lin
Bilinear Factor Matrix Norm Minimization for Robust PCA: Algorithms and Applications. CoRR (2018)
Fanhua Shang, Yuanyuan Liu, James Cheng
Tractable and Scalable Schatten Quasi-Norm Approximations for Rank Minimization. CoRR (2018)
Fanhua Shang, Kaiwen Zhou, James Cheng, Ivor W. Tsang, Lijun Zhang, Dacheng Tao
VR-SGD: A Simple Stochastic Variance Reduction Method for Machine Learning. CoRR (2018)
Fanhua Shang, Yuanyuan Liu, James Cheng, Da Yan
Fuzzy Double Trace Norm Minimization for Recommendation Systems. IEEE Trans. Fuzzy Syst. 26 (4) (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Fanhua Shang