UNDERSTANDING STRAIGHT-THROUGH ESTIMATOR IN TRAINING ACTIVATION QUANTIZED NEURAL NETS P Yin, J Lyu, S Zhang, S Osher, Y Qi, J Xin
Seventh International Conference on Learning Representations (ICLR), 2019
363 2019 Minimization of Transformed L_1 Penalty: Theory, Difference of Convex Function Algorithm, and Robust Application in Compressed Sensing S Zhang, J Xin
Mathematical Programming 169 (1), 307 - 336, 2018
139 2018 Binaryrelax: A relaxation approach for training deep neural networks with quantized weights P Yin, S Zhang, J Lyu, S Osher, Y Qi, J Xin
SIAM Journal on Imaging Sciences, 2018
97 2018 TRP: Trained Rank Pruning for Efficient Deep Neural Networks Y Xu, Y Li, S Zhang, W Wen, B Wang, Y Qi, Y Chen, W Lin, H Xiong
International Joint Conference on Artificial Intelligence (IJCAI) 2020, 2020
87 2020 Minimization of transformed S Zhang, J Xin
Communications in Mathematical Sciences 15 (2), 511 – 537, 2017
80 2017 Blended coarse gradient descent for full quantization of deep neural networks P Yin, S Zhang, J Lyu, S Osher, Y Qi, J Xin
Research in the Mathematical Sciences, 2018
76 2018 Trained Rank Pruning for Efficient Deep Neural Networks Y Xu, Y Li, S Zhang, W Wen, B Wang, Y Qi, Y Chen, W Lin, H Xiong
The NeurIPS 2019 Workshop on Energy Efficient Machine Learning and Cognitive …, 2018
66 2018 Quantization and Training of Low Bit-Width Convolutional Neural Networks for Object Detection P Yin, S Zhang, Y Qi, J Xin
Journal of Computational Mathematics 37 (3), 349 - 360, 2018
64 * 2018 Transformed Schatten-1 iterative thresholding algorithms for low rank matrix completion S Zhang, P Yin, J Xin
Communications in Mathematical Sciences 15 (3), 839 – 862, 2017
35 * 2017 Autoshufflenet: Learning permutation matrices via an exact lipschitz continuous penalty in deep convolutional neural networks J Lyu, S Zhang, Y Qi, J Xin
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
34 2020 User adaptation for biometric authentication EZ Mequanint, S Zhang, Y Qi, N Bi
US Patent 11,216,541, 2022
27 2022 Structured sparsity of convolutional neural networks via nonconvex sparse group regularization K Bui, F Park, S Zhang, Y Qi, J Xin
Frontiers in applied mathematics and statistics 6, 529564, 2021
21 2021 Channel Pruning for Deep Neural Networks via a Relaxed Groupwise Splitting Method B Yang, J Xin, J Lyu, S Zhang, Y Qi
International Conference on Artificial Intelligence for Industries (AI4I), 2019
17 2019 DNQ: Dynamic Network Quantization Y Xu, S Zhang, Y Qi, J Guo, W Lin, H Xiong
2019 Data Compression Conference (DCC), 610-610, 2019
12 2019 Improving network slimming with nonconvex regularization K Bui, F Park, S Zhang, Y Qi, J Xin
IEEE Access 9, 115292-115314, 2021
10 2021 Edge computing S Zhang, Y Chen, Y Zhou
US Patent 10,726,302, 2020
10 2020 DAC: Data-free Automatic Acceleration of Convolutional Networks X Li, S Zhang, B Jiang, Y Qi, MC Chuah, N Bi
Winter Conference on Applications of Computer Vision (WACV), 2019
9 2019 Mobileinst: Video instance segmentation on the mobile R Zhang, T Cheng, S Yang, H Jiang, S Zhang, J Lyu, X Li, X Ying, D Gao, ...
Proceedings of the AAAI Conference on Artificial Intelligence 38 (7), 7260-7268, 2024
8 2024 Nonconvex regularization for network slimming: compressing cnns even more K Bui, F Park, S Zhang, Y Qi, J Xin
International Symposium on Visual Computing, 39-53, 2020
8 2020 Weakly-supervised degree of eye-closeness estimation E Mequanint, S Zhang, B Forutanpour, Y Qi, N Bi
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
6 2019 
Jack XinChancellor's Professor of Mathematics, UC IrvineVahvistettu sähköpostiosoite verkkotunnuksessa uci.edu