Penghang Yin

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 30

Top Topics

Convergence Analysis

Blind Source Separation

Total Variation Minimization

Top Venues

J. Sci. Comput.

SIAM J. Imaging Sci.

Signal Image Video Process.

Publications

Aozhong Zhang, Zi Yang, Naigang Wang, Yingyong Qin, Jack Xin, Xin Li, Penghang Yin
COMQ: A Backpropagation-Free Algorithm for Post-Training Quantization. CoRR (2024)
Aozhong Zhang, Naigang Wang, Yanxia Deng, Xin Li, Zi Yang, Penghang Yin
MagR: Weight Magnitude Reduction for Enhancing Post-Training Quantization. CoRR (2024)
Zhijian Li, Biao Yang, Penghang Yin, Yingyong Qi, Jack Xin
Feature Affinity Assisted Knowledge Distillation and Quantization of Deep Neural Networks on Label-Free Data. IEEE Access 11 (2023)
Zhijian Li, Biao Yang, Penghang Yin, Yingyong Qi, Jack Xin
Feature Affinity Assisted Knowledge Distillation and Quantization of Deep Neural Networks on Label-Free Data. CoRR (2023)
Ziang Long, Penghang Yin, Jack Xin
Learning Quantized Neural Nets by Coarse Gradient Method for Non-linear Classification. CoRR (2020)
Ziang Long, Penghang Yin, Jack Xin
Global Convergence and Geometric Characterization of Slow to Fast Weight Evolution in Neural Network Training for Classifying Linearly Non-Separable Data. CoRR (2020)
Ziang Long, Penghang Yin, Jack Xin
Recurrence of Optimum for Training Weight and Activation Quantized Networks. CoRR (2020)
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)
Tao Sun, Penghang Yin, Dongsheng Li, Chun Huang, Lei Guan, Hao Jiang
Non-Ergodic Convergence Analysis of Heavy-Ball Algorithms. AAAI (2019)
Penghang Yin, Jiancheng Lyu, Shuai Zhang, Stanley J. Osher, Yingyong Qi, Jack Xin
Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets. CoRR (2019)
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 (2018)
Penghang Yin, Minh Pham, Adam M. Oberman, Stanley J. Osher
Stochastic Backward Euler: An Implicit Gradient Descent Algorithm for k-Means Clustering. J. Sci. Comput. 77 (2) (2018)
Stanley J. Osher, Bao Wang, Penghang Yin, Xiyang Luo, Minh Pham, Alex Tong Lin
Laplacian Smoothing Gradient Descent. CoRR (2018)
Bao Wang, Alex Tong Lin, Zuoqiang Shi, Wei Zhu, Penghang Yin, Andrea L. Bertozzi, Stanley J. Osher
Adversarial Defense via Data Dependent Activation Function and Total Variation Minimization. CoRR (2018)
Tao Sun, Penghang Yin, Lizhi Cheng, Hao Jiang
Alternating direction method of multipliers with difference of convex functions. Adv. Comput. Math. 44 (3) (2018)
Ernest K. Ryu, Wuchen Li, Penghang Yin, Stanley J. Osher
Monge-Kantorovich Problem: A Scalable Parallel First-Order Method. J. Sci. Comput. 75 (3) (2018)
Wuchen Li, Penghang Yin, Stanley J. Osher
Computations of Optimal Transport Distance with Fisher Information Regularization. J. Sci. Comput. 75 (3) (2018)
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) (2018)
Penghang Yin, Jack Xin, Yingyong Qi
Linear Feature Transform and Enhancement of Classification on Deep Neural Network. J. Sci. Comput. 76 (3) (2018)
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 (2018)
Penghang Yin, Zhe Sun, Wenlong Jin, Jack Xin
-Minimization. CoRR (2017)
Bao Wang, Penghang Yin, Andrea L. Bertozzi, P. Jeffrey Brantingham, Stanley J. Osher, Jack Xin
Deep Learning for Real-Time Crime Forecasting and its Ternarization. CoRR (2017)
Penghang Yin, Minh Pham, Adam M. Oberman, Stanley J. Osher
Stochastic Backward Euler: An Implicit Gradient Descent Algorithm for k-means Clustering. CoRR (2017)
Penghang Yin, Yuanchang Sun, Jack Xin
A geometric blind source separation method based on facet component analysis. Signal Image Video Process. 10 (1) (2016)
Penghang Yin, Shuai Zhang, Jack Xin, Yingyong Qi
Training Ternary Neural Networks with Exact Proximal Operator. CoRR (2016)
Penghang Yin, Jack Xin
minimization for non-convex compressed sensing. CoRR (2016)
Yifei Lou, Penghang Yin, Jack Xin
Based Methods. J. Sci. Comput. 68 (3) (2016)
Penghang Yin, Yifei Lou, Qi He, Jack Xin
for Compressed Sensing. SIAM J. Sci. Comput. 37 (1) (2015)
Yifei Lou, Penghang Yin, Qi He, Jack Xin
. J. Sci. Comput. 64 (1) (2015)
Shuai Zhang, Penghang Yin, Jack Xin
Transformed Schatten-1 Iterative Thresholding Algorithms for Matrix Rank Minimization and Applications. CoRR (2015)
Penghang Yin, Ernie Esser, Jack Xin
Ratio and difference of $l_1$ and $l_2$ norms and sparse representation with coherent dictionaries. Commun. Inf. Syst. 14 (2) (2014)