An optimal-order error estimate for the mass-conservative characteristic finite element scheme. - Hongmei Wang; Hongxing Rui; Shuai Zhang 009 (Appl. Math. Comput., 2012)

Minimization of Transformed L_1 Penalty: Theory, Difference of Convex Function Algorithm, and Robust Application in Compressed Sensing. - Shuai Zhang 009; Jack Xin (CoRR, 2014)

Minimization of Transformed L1 Penalty: Closed Form Representation and Iterative Thresholding Algorithms. - Shuai Zhang 009; Jack Xin (CoRR, 2014)

Transformed Schatten-1 Iterative Thresholding Algorithms for Matrix Rank Minimization and Applications. - Shuai Zhang 009; Penghang Yin; Jack Xin (CoRR, 2015)

Training Ternary Neural Networks with Exact Proximal Operator. - Penghang Yin; Shuai Zhang 009; Jack Xin; Yingyong Qi (CoRR, 2016)

Blended Coarse Gradient Descent for Full Quantization of Deep Neural Networks. - Penghang Yin; Shuai Zhang 009; Jiancheng Lyu; Stanley J. Osher; Yingyong Qi; Jack Xin (CoRR, 2018)

Trained Rank Pruning for Efficient Deep Neural Networks. - Yuhui Xu; Yuxi Li; Shuai Zhang 009; Wei Wen; Botao Wang; Yingyong Qi; Yiran Chen 001; Weiyao Lin; Hongkai Xiong (CoRR, 2018)

Minimization of transformed L1 penalty: theory, difference of convex function algorithm, and robust application in compressed sensing. - Shuai Zhang 009; Jack Xin (Math. Program., 2018)

BinaryRelax: A Relaxation Approach for Training Deep Neural Networks with Quantized Weights. - Penghang Yin; Shuai Zhang 009; Jiancheng Lyu; Stanley J. Osher; Yingyong Qi; Jack Xin (SIAM J. Imaging Sci., 2018)

Short Paper: A Multistage Backward Differentiable Method for Constructing Light Convolutional Neural Networks. - Fanghui Xue; Jack Xin; Jiancheng Lyu; Shuai Zhang 009; Yingyong Qi (AI4I, 2019)

Channel Pruning for Deep Neural Networks Via a Relaxed Groupwise Splitting Method. - Biao Yang; Jiancheng Lyu; Shuai Zhang 009; Yingyong Qi; Jack Xin (AI4I, 2019)

DNQ: Dynamic Network Quantization. - Yuhui Xu; Shuai Zhang 009; Yingyong Qi; Jiaxian Guo; Weiyao Lin; Hongkai Xiong (DCC, 2019)

Weakly-Supervised Degree of Eye-Closeness Estimation. - Eyasu Mequanint; Shuai Zhang 009; Bijan Forutanpour; Yingyong Qi; Ning Bi (ICCV Workshops, 2019)

Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets. - Penghang Yin; Jiancheng Lyu; Shuai Zhang 009; Stanley J. Osher; Yingyong Qi; Jack Xin (ICLR (Poster), 2019)

Trained Rank Pruning for Efficient Deep Neural Networks. - Yuhui Xu; Yuxi Li; Shuai Zhang 009; Wei Wen; Botao Wang; Wenrui Dai; Yingyong Qi; Yiran Chen 001; Weiyao Lin; Hongkai Xiong (EMC2@NeurIPS, 2019)

DAC: Data-Free Automatic Acceleration of Convolutional Networks. - Xin Li 080; Shuai Zhang 009; Bolan Jiang; Yingyong Qi; Mooi Choo Chuah; Ning Bi (WACV, 2019)

𝓁0 Regularized Structured Sparsity Convolutional Neural Networks. - Kevin Bui; Fredrick Park; Shuai Zhang 009; Yingyong Qi; Jack Xin (CoRR, 2019)

Tiny-Hourglassnet: An Efficient Design For 3d Human Pose Estimation. - Bowen Shi; Yuhui Xu; Wenrui Dai; Botao Wang; Shuai Zhang 009; Chenglin Li; Junni Zou; Hongkai Xiong (ICIP, 2020)

TRP: Trained Rank Pruning for Efficient Deep Neural Networks. - Yuhui Xu; Yuxi Li; Shuai Zhang 009; Wei Wen; Botao Wang; Yingyong Qi; Yiran Chen 001; Weiyao Lin; Hongkai Xiong (IJCAI, 2020)

Nonconvex Regularization for Network Slimming: Compressing CNNs Even More. - Kevin Bui; Fredrick Park; Shuai Zhang 009; Yingyong Qi; Jack Xin (ISVC (1), 2020)

AutoShuffleNet: Learning Permutation Matrices via an Exact Lipschitz Continuous Penalty in Deep Convolutional Neural Networks. - Jiancheng Lyu; Shuai Zhang 009; Yingyong Qi; Jack Xin (KDD, 2020)

Clustering COVID-19 Lung Scans. - Jacob Householder; Andrew Householder; John Paul Gomez-Reed; Fredrick Park; Shuai Zhang 009 (CoRR, 2020)

Structured Sparsity of Convolutional Neural Networks via Nonconvex Sparse Group Regularization. - Kevin Bui; Fredrick Park; Shuai Zhang 009; Yingyong Qi; Jack Xin (Frontiers Appl. Math. Stat., 2020)

Improving Network Slimming With Nonconvex Regularization. - Kevin Bui; Fredrick Park; Shuai Zhang 009; Yingyong Qi; Jack Xin (IEEE Access, 2021)

AFIDAF: Alternating Fourier and Image Domain Adaptive Filters as an Efficient Alternative to Attention in ViTs. - Yunling Zheng; Zeyi Xu; Fanghui Xue; Biao Yang; Jiancheng Lyu; Shuai Zhang 009; Yingyong Qi; Jack Xin (ISVC (1), 2024)

SEMA: a Scalable and Efficient Mamba like Attention via Token Localization and Averaging. - Nhat Thanh Tran; Fanghui Xue; Shuai Zhang 009; Jiancheng Lyu; Yunling Zheng; Yingyong Qi; Jack Xin (CoRR, 2025)