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ORCIDShuai Zhang 0009
Person information
- affiliation: Qualcomm Inc., San Diego, CA, USA
- affiliation (PhD 2017): University of California Irvine, Department of Mathematics, CA, USA
Other persons with the same name
- Shuai Zhang — disambiguation page
- Shuai Zhang 0001
![[0000-0002-4821-6404]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-4821-6404")
— University of Ulster, UK - Shuai Zhang 0002 — Zhejiang University of Finance and Economics, Hangzhou, China
- Shuai Zhang 0003 — Aalborg University, Faculty of Engineering and Science, Denmark
- Shuai Zhang 0004 — SenseTime Group Limited, SenseTime Research, Shenzhen, Hong Kong (and 1 more)
- Shuai Zhang 0005 — Fudan University, Department of Materials Science, Shanghai, China
- Shuai Zhang 0006 — North China Electric Power University, School of Control and Computer Engineering, Beijing, China
- Shuai Zhang 0007 — University of New South Wales, School of Computer Science and Engineering, Kensington, Australia
- Shuai Zhang 0008 — Tianjin University, MOE Key Laboratory of Smart Grid, China
- Shuai Zhang 0010 — National Digital Switching System Engineering and Technological Research Center, Zhengzhou, China
- Shuai Zhang 0011 — Xi'an Research Institution of Hi-Technology, Department of Control Engineering, China
- Shuai Zhang 0012 — University of Texas at Dallas, TX, USA
- Shuai Zhang 0013 — Illinois Institute of Technology, Department of Electrical and Computer Engineering, Chicago, IL, USA
- Shuai Zhang 0014 — Chinese Academy of Sciences, Institute of Automation, Beijing, China (and 1 more)
- Shuai Zhang 0015 — Rensselaer Polytechnic Institute, Department of Electrical, Computer, and Systems Engineering, Troy, NY, USA
- Shuai Zhang 0016 — Wuhan University, School of Geodesy and Geomatics, Research Center for High Accuracy Location Awareness, China
- Shuai Zhang 0017 — Tianjin University, School of Microelectronics, China
- Shuai Zhang 0018 — KTH Royal Institute of Technology, Stockholm, Sweden (and 1 more)
- Shuai Zhang 0019 — Tianjin University, School of Electrical and Information Engineering, China
- Shuai Zhang 0020 — University of Greenwich, London, UK (and 1 more)
- Shuai Zhang 0021 — Army Engineering University, Shijiazhuang, China
- Shuai Zhang 0022 — Xi'an University of Posts and Telecommunications, School of Cyberspace Security, China
- Shuai Zhang 0023 — University of South Florida, College of Marine Science, St. Petersburg, FL, USA (and 1 more)
- Shuai Zhang 0024 — Northwestern Polytechnical University, School of Marine Science and Technology, Xi'an, China
- Shuai Zhang 0025 — Shandong University of Science and Technology, College of Civil Engineering and Architecture, Shandong Key Laboratory of Civil Engineering Disaster Prevention and Mitigation, Qingdao, China
- Shuai Zhang 0026 — Beihang University, School of Computer Science and Engineering, Beijing Advanced Innovation Center for Big Data and Brain Computing, China
- Shuai Zhang 0027 — Zhejiang University, Center for Psychological Sciences, Hangzhou, China (and 1 more)
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Journal Articles
- 2021
[j5]Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin:
Improving Network Slimming With Nonconvex Regularization. IEEE Access 9: 115292-115314 (2021)- 2020
- [j4]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: 529564 (2020) - 2018
- [j3]Shuai Zhang, Jack Xin:
Minimization of transformed L1 penalty: theory, difference of convex function algorithm, and robust application in compressed sensing. Math. Program. 169(1): 307-336 (2018) - [j2]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): 2205-2223 (2018) - 2012
- [j1]Hongmei Wang, Hongxing Rui, Shuai Zhang:
An optimal-order error estimate for the mass-conservative characteristic finite element scheme. Appl. Math. Comput. 218(20): 10271-10278 (2012)
Conference and Workshop Papers
- 2020
- [c11]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: 1491-1495 - [c10]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: 977-983 - [c9]Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin:
Nonconvex Regularization for Network Slimming: Compressing CNNs Even More. ISVC (1) 2020: 39-53 - [c8]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: 608-616 - 2019
- [c7]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: 89-90 - [c6]Biao Yang, Jiancheng Lyu, Shuai Zhang, Yingyong Qi, Jack Xin:
Channel Pruning for Deep Neural Networks Via a Relaxed Groupwise Splitting Method. AI4I 2019: 97-98 - [c5]Yuhui Xu, Shuai Zhang, Yingyong Qi, Jiaxian Guo, Weiyao Lin, Hongkai Xiong:
DNQ: Dynamic Network Quantization. DCC 2019: 610 - [c4]Eyasu Mequanint, Shuai Zhang, Bijan Forutanpour, Yingyong Qi, Ning Bi:
Weakly-Supervised Degree of Eye-Closeness Estimation. ICCV Workshops 2019: 4416-4424 - [c3]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 - [c2]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: 14-17 - [c1]Xin Li, Shuai Zhang, Bolan Jiang, Yingyong Qi, Mooi Choo Chuah, Ning Bi:
DAC: Data-Free Automatic Acceleration of Convolutional Networks. WACV 2019: 1598-1606
Informal and Other Publications
- 2024
- [i17]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 abs/2407.12217 (2024) - 2020
- [i16]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 abs/2004.14566 (2020) - [i15]Jacob Householder, Andrew Householder, John Paul Gomez-Reed, Fredrick Park, Shuai Zhang:
Clustering COVID-19 Lung Scans. CoRR abs/2009.09899 (2020) - [i14]Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin:
Nonconvex Regularization for Network Slimming: Compressing CNNs Even More. CoRR abs/2010.01242 (2020) - 2019
- [i13]Jiancheng Lyu, Shuai Zhang, Yingyong Qi, Jack Xin:
AutoShuffleNet: Learning Permutation Matrices via an Exact Lipschitz Continuous Penalty in Deep Convolutional Neural Networks. CoRR abs/1901.08624 (2019) - [i12]Penghang Yin, Jiancheng Lyu, Shuai Zhang, Stanley J. Osher, Yingyong Qi, Jack Xin:
Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets. CoRR abs/1903.05662 (2019) - [i11]Eyasu Mequanint, Shuai Zhang, Bijan Forutanpour, Yingyong Qi, Ning Bi:
Weakly-Supervised Degree of Eye-Closeness Estimation. CoRR abs/1910.10845 (2019) - [i10]Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin:
𝓁0 Regularized Structured Sparsity Convolutional Neural Networks. CoRR abs/1912.07868 (2019) - 2018
- [i9]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 abs/1801.06313 (2018) - [i8]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 abs/1808.05240 (2018) - [i7]Yuhui Xu, Shuai Zhang, Yingyong Qi, Jiaxian Guo, Weiyao Lin, Hongkai Xiong:
DNQ: Dynamic Network Quantization. CoRR abs/1812.02375 (2018) - [i6]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 abs/1812.02402 (2018) - [i5]Xin Li, Shuai Zhang, Bolan Jiang, Yingyong Qi, Mooi Choo Chuah, Ning Bi:
DAC: Data-free Automatic Acceleration of Convolutional Networks. CoRR abs/1812.08374 (2018) - 2016
- [i4]Penghang Yin, Shuai Zhang, Jack Xin, Yingyong Qi:
Training Ternary Neural Networks with Exact Proximal Operator. CoRR abs/1612.06052 (2016) - 2015
- [i3]Shuai Zhang, Penghang Yin, Jack Xin:
Transformed Schatten-1 Iterative Thresholding Algorithms for Matrix Rank Minimization and Applications. CoRR abs/1506.04444 (2015) - 2014
- [i2]Shuai Zhang, Jack Xin:
Minimization of Transformed L_1 Penalty: Theory, Difference of Convex Function Algorithm, and Robust Application in Compressed Sensing. CoRR abs/1411.5735 (2014) - [i1]Shuai Zhang, Jack Xin:
Minimization of Transformed L1 Penalty: Closed Form Representation and Iterative Thresholding Algorithms. CoRR abs/1412.5240 (2014)
Coauthor Index
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