Shuai Zhang

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 30

Top Topics

Structured Sparsity

Top Venues

SIAM J. Imaging Sci.

Publications

Yunling Zheng, Zeyi Xu, Fanghui Xue, Biao Yang, Jiancheng Lyu, Shuai Zhang, Yingyong Qi, Jack Xin
AFIDAF: Alternating Fourier and Image Domain Adaptive Filters as an Efficient Alternative to Attention in ViTs. CoRR (2024)
Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin
Improving Network Slimming With Nonconvex Regularization. IEEE Access 9 (2021)
Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin
Nonconvex Regularization for Network Slimming: Compressing CNNs Even More. ISVC (1) (2020)
Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin
Structured Sparsity of Convolutional Neural Networks via Nonconvex Sparse Group Regularization. Frontiers Appl. Math. Stat. 6 (2020)
Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin
Nonconvex Regularization for Network Slimming: Compressing CNNs Even More. CoRR (2020)
Jacob Householder, Andrew Householder, John Paul Gomez-Reed, Fredrick Park, Shuai Zhang
Clustering COVID-19 Lung Scans. CoRR (2020)
Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong
TRP: Trained Rank Pruning for Efficient Deep Neural Networks. IJCAI (2020)
Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong
TRP: Trained Rank Pruning for Efficient Deep Neural Networks. CoRR (2020)
Bowen Shi, Yuhui Xu, Wenrui Dai, Botao Wang, Shuai Zhang, Chenglin Li, Junni Zou, Hongkai Xiong
Tiny-Hourglassnet: An Efficient Design For 3d Human Pose Estimation. ICIP (2020)
Jiancheng Lyu, Shuai Zhang, Yingyong Qi, Jack Xin
AutoShuffleNet: Learning Permutation Matrices via an Exact Lipschitz Continuous Penalty in Deep Convolutional Neural Networks. KDD (2020)
Yuhui Xu, Shuai Zhang, Yingyong Qi, Jiaxian Guo, Weiyao Lin, Hongkai Xiong
DNQ: Dynamic Network Quantization. DCC (2019)
Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Wenrui Dai, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong
Trained Rank Pruning for Efficient Deep Neural Networks. EMC2@NeurIPS (2019)
Penghang Yin, Jiancheng Lyu, Shuai Zhang, Stanley J. Osher, Yingyong Qi, Jack Xin
Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets. ICLR (Poster) (2019)
Eyasu Mequanint, Shuai Zhang, Bijan Forutanpour, Yingyong Qi, Ning Bi
Weakly-Supervised Degree of Eye-Closeness Estimation. ICCV Workshops (2019)
Fanghui Xue, Jack Xin, Jiancheng Lyu, Shuai Zhang, Yingyong Qi
Short Paper: A Multistage Backward Differentiable Method for Constructing Light Convolutional Neural Networks. AI4I (2019)
Eyasu Mequanint, Shuai Zhang, Bijan Forutanpour, Yingyong Qi, Ning Bi
Weakly-Supervised Degree of Eye-Closeness Estimation. CoRR (2019)
Xin Li, Shuai Zhang, Bolan Jiang, Yingyong Qi, Mooi Choo Chuah, Ning Bi
DAC: Data-Free Automatic Acceleration of Convolutional Networks. WACV (2019)
Biao Yang, Jiancheng Lyu, Shuai Zhang, Yingyong Qi, Jack Xin
Channel Pruning for Deep Neural Networks Via a Relaxed Groupwise Splitting Method. AI4I (2019)
Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin
Regularized Structured Sparsity Convolutional Neural Networks. CoRR (2019)
Jiancheng Lyu, Shuai Zhang, Yingyong Qi, Jack Xin
AutoShuffleNet: Learning Permutation Matrices via an Exact Lipschitz Continuous Penalty in Deep Convolutional Neural Networks. CoRR (2019)
Penghang Yin, Jiancheng Lyu, Shuai Zhang, Stanley J. Osher, Yingyong Qi, Jack Xin
Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets. CoRR (2019)
Penghang Yin, Shuai Zhang, Jiancheng Lyu, Stanley J. Osher, Yingyong Qi, Jack Xin
BinaryRelax: A Relaxation Approach For Training Deep Neural Networks With Quantized Weights. CoRR (2018)
Xin Li, Shuai Zhang, Bolan Jiang, Yingyong Qi, Mooi Choo Chuah, Ning Bi
DAC: Data-free Automatic Acceleration of Convolutional Networks. CoRR (2018)
Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong
Trained Rank Pruning for Efficient Deep Neural Networks. CoRR (2018)
Penghang Yin, Shuai Zhang, Jiancheng Lyu, Stanley J. Osher, Yingyong Qi, Jack Xin
BinaryRelax: A Relaxation Approach for Training Deep Neural Networks with Quantized Weights. SIAM J. Imaging Sci. 11 (4) (2018)
Yuhui Xu, Shuai Zhang, Yingyong Qi, Jiaxian Guo, Weiyao Lin, Hongkai Xiong
DNQ: Dynamic Network Quantization. CoRR (2018)
Shuai Zhang, Jack Xin
penalty: theory, difference of convex function algorithm, and robust application in compressed sensing. Math. Program. 169 (1) (2018)
Penghang Yin, Shuai Zhang, Jiancheng Lyu, Stanley J. Osher, Yingyong Qi, Jack Xin
Blended Coarse Gradient Descent for Full Quantization of Deep Neural Networks. CoRR (2018)
Penghang Yin, Shuai Zhang, Jack Xin, Yingyong Qi
Training Ternary Neural Networks with Exact Proximal Operator. CoRR (2016)
Shuai Zhang, Penghang Yin, Jack Xin
Transformed Schatten-1 Iterative Thresholding Algorithms for Matrix Rank Minimization and Applications. CoRR (2015)
Shuai Zhang, Jack Xin
Penalty: Closed Form Representation and Iterative Thresholding Algorithms. CoRR (2014)
Shuai Zhang, Jack Xin
Minimization of Transformed L_1 Penalty: Theory, Difference of Convex Function Algorithm, and Robust Application in Compressed Sensing. CoRR (2014)
Hongmei Wang, Hongxing Rui, Shuai Zhang
An optimal-order error estimate for the mass-conservative characteristic finite element scheme. Appl. Math. Comput. 218 (20) (2012)