Shuai Zhang
Orcid: 0000-0002-3508-932XAffiliations:
- Qualcomm Inc., San Diego, CA, USA
- University of California Irvine, Department of Mathematics, CA, USA (PhD 2017)
According to our database1,
Shuai Zhang
authored at least 25 papers
between 2012 and 2024.
Collaborative distances:
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on scopus.com
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on publons.com
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On csauthors.net:
Bibliography
2024
AFIDAF: Alternating Fourier and Image Domain Adaptive Filters as an Efficient Alternative to Attention in ViTs.
Proceedings of the Advances in Visual Computing - 19th International Symposium, 2024
2021
2020
Structured Sparsity of Convolutional Neural Networks via Nonconvex Sparse Group Regularization.
Frontiers Appl. Math. Stat., 2020
AutoShuffleNet: Learning Permutation Matrices via an Exact Lipschitz Continuous Penalty in Deep Convolutional Neural Networks.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the Advances in Visual Computing - 15th International Symposium, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the IEEE International Conference on Image Processing, 2020
2019
CoRR, 2019
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019
Proceedings of the Fifth Workshop on Energy Efficient Machine Learning and Cognitive Computing, 2019
Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets.
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019
Proceedings of the Data Compression Conference, 2019
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.
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.
SIAM J. Imaging Sci., 2018
Minimization of transformed L<sub>1</sub> penalty: theory, difference of convex function algorithm, and robust application in compressed sensing.
Math. Program., 2018
CoRR, 2018
2016
2015
Transformed Schatten-1 Iterative Thresholding Algorithms for Matrix Rank Minimization and Applications.
CoRR, 2015
2014
Minimization of Transformed L<sub>1</sub> Penalty: Closed Form Representation and Iterative Thresholding Algorithms.
CoRR, 2014
Minimization of Transformed L_1 Penalty: Theory, Difference of Convex Function Algorithm, and Robust Application in Compressed Sensing.
CoRR, 2014
2012
An optimal-order error estimate for the mass-conservative characteristic finite element scheme.
Appl. Math. Comput., 2012