Shuai Zhang

According to our database, Shuai Zhang authored at least 24 papers between 2012 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Improving Network Slimming With Nonconvex Regularization.

Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin

IEEE Access, 2021

2020

Structured Sparsity of Convolutional Neural Networks via Nonconvex Sparse Group Regularization.

Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin

Frontiers Appl. Math. Stat., 2020

Clustering COVID-19 Lung Scans.

Jacob Householder, Andrew Householder, John Paul Gomez-Reed, Fredrick Park, Shuai Zhang

CoRR, 2020

AutoShuffleNet: Learning Permutation Matrices via an Exact Lipschitz Continuous Penalty in Deep Convolutional Neural Networks.

Jiancheng Lyu, Shuai Zhang, Yingyong Qi, Jack Xin

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Nonconvex Regularization for Network Slimming: Compressing CNNs Even More.

Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin

Proceedings of the Advances in Visual Computing - 15th International Symposium, 2020

TRP: Trained Rank Pruning for Efficient Deep Neural Networks.

Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Tiny-Hourglassnet: An Efficient Design For 3d Human Pose Estimation.

Bowen Shi, Yuhui Xu, Wenrui Dai, Botao Wang, Shuai Zhang, Chenglin Li, Junni Zou, Hongkai Xiong

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

𝓁₀ Regularized Structured Sparsity Convolutional Neural Networks.

Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin

CoRR, 2019

DAC: Data-Free Automatic Acceleration of Convolutional Networks.

Xin Li, Shuai Zhang, Bolan Jiang, Yingyong Qi, Mooi Choo Chuah, Ning Bi

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Trained Rank Pruning for Efficient Deep Neural Networks.

Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Wenrui Dai, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong

Proceedings of the Fifth Workshop on Energy Efficient Machine Learning and Cognitive Computing, 2019

Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets.

Penghang Yin, Jiancheng Lyu, Shuai Zhang, Stanley J. Osher, Yingyong Qi, Jack Xin

Proceedings of the 7th International Conference on Learning Representations, 2019

Weakly-Supervised Degree of Eye-Closeness Estimation.

Eyasu Mequanint, Shuai Zhang, Bijan Forutanpour, Yingyong Qi, Ning Bi

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

DNQ: Dynamic Network Quantization.

Yuhui Xu, Shuai Zhang, Yingyong Qi, Jiaxian Guo, Weiyao Lin, Hongkai Xiong

Proceedings of the Data Compression Conference, 2019

Channel Pruning for Deep Neural Networks Via a Relaxed Groupwise Splitting Method.

Biao Yang, Jiancheng Lyu, Shuai Zhang, Yingyong Qi, Jack Xin

Proceedings of the Second International Conference on Artificial Intelligence for Industries, 2019

Short Paper: A Multistage Backward Differentiable Method for Constructing Light Convolutional Neural Networks.

Fanghui Xue, Jack Xin, Jiancheng Lyu, Shuai Zhang, Yingyong Qi

Proceedings of the Second International Conference on Artificial Intelligence for Industries, 2019

2018

BinaryRelax: A Relaxation Approach for Training Deep Neural Networks with Quantized Weights.

Penghang Yin, Shuai Zhang, Jiancheng Lyu, Stanley J. Osher, Yingyong Qi, Jack Xin

SIAM J. Imaging Sci., 2018

Minimization of transformed L₁ penalty: theory, difference of convex function algorithm, and robust application in compressed sensing.

Shuai Zhang, Jack Xin

Math. Program., 2018

Trained Rank Pruning for Efficient Deep Neural Networks.

Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong

CoRR, 2018

Blended Coarse Gradient Descent for Full Quantization of Deep Neural Networks.

Penghang Yin, Shuai Zhang, Jiancheng Lyu, Stanley J. Osher, Yingyong Qi, Jack Xin

CoRR, 2018

2016

Training Ternary Neural Networks with Exact Proximal Operator.

Penghang Yin, Shuai Zhang, Jack Xin, Yingyong Qi

CoRR, 2016

2015

Transformed Schatten-1 Iterative Thresholding Algorithms for Matrix Rank Minimization and Applications.

Shuai Zhang, Penghang Yin, Jack Xin

CoRR, 2015

2014

Minimization of Transformed L₁ Penalty: Closed Form Representation and Iterative Thresholding Algorithms.

Shuai Zhang, Jack Xin

CoRR, 2014

Minimization of Transformed L_1 Penalty: Theory, Difference of Convex Function Algorithm, and Robust Application in Compressed Sensing.

Shuai Zhang, Jack Xin

CoRR, 2014

2012

An optimal-order error estimate for the mass-conservative characteristic finite element scheme.

Hongmei Wang, Hongxing Rui, Shuai Zhang

Appl. Math. Comput., 2012