Penghang Yin

发表

Iterative ℓ1 minimization for non-convex compressed sensing pdf

Jack Xin, Penghang Yin, J. Xin, 2016, ArXiv.

Generalized proximal smoothing (GPS) for phase retrieval.

Stanley Osher, Minh Pham, Jianwei Miao, 2018, Optics express.

Non-convex Optimization Methods for Sparse and Low-rank Reconstruction

Penghang Yin, 2016 .

Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets

S. Osher, J. Xin, Y. Qi, 2019, ICLR.

PhaseLiftOff: an Accurate and Stable Phase Retrieval Method Based on Difference of Trace and Frobenius Norms

J. Xin, Penghang Yin, 2014, 1406.6761.

On the complexity of convex inertial proximal algorithms

Penghang Yin, Tao Sun, 2018, 1801.07389.

SCRABBLE: single-cell RNA-seq imputation constrained by bulk RNA-seq data

Penghang Yin, Qin Zhu, Kai Tan, 2019, Genome Biology.

ℓ1-minimization method for link flow correction

Jack Xin, Wen-Long Jin, Penghang Yin, 2017 .

Alternating direction method of multipliers with difference of convex functions

Penghang Yin, Hao Jiang, Lizhi Cheng, 2017, Advances in Computational Mathematics.

Linear Feature Transform and Enhancement of Classification on Deep Neural Network

J. Xin, Y. Qi, Penghang Yin, 2018, Journal of Scientific Computing.

Stochastic Backward Euler: An Implicit Gradient Descent Algorithm for k-Means Clustering

Adam M. Oberman, S. Osher, Penghang Yin, 2018, Journal of Scientific Computing.

A geometric blind source separation method based on facet component analysis

Yuanchang Sun, J. Xin, Penghang Yin, 2014, Signal, Image and Video Processing.

Computations of Optimal Transport Distance with Fisher Information Regularization

S. Osher, Penghang Yin, Wuchen Li, 2017, Journal of Scientific Computing.

Computing Sparse Representation in a Highly Coherent Dictionary Based on Difference of $$L_1$$L1 and $$L_2$$L2

Jack Xin, Qi He, Yifei Lou, 2015, J. Sci. Comput..

Ratio and difference of $l_1$ and $l_2$ norms and sparse representation with coherent dictionaries

Jack Xin, Ernie Esser, Penghang Yin, 2014, Commun. Inf. Syst..

Deep Learning for Real-Time Crime Forecasting and Its Ternarization pdf

Jack Xin, Stanley Osher, Andrea L. Bertozzi, 2017, Chinese Annals of Mathematics, Series B.

Laplacian smoothing gradient descent

S. Osher, Penghang Yin, Bao Wang, 2022, Research in the Mathematical Sciences.

Laplacian smoothing gradient descent pdf

Stanley Osher, Minh Pham, Penghang Yin, 2018, Research in the Mathematical Sciences.

Quantization and Training of Low Bit-Width Convolutional Neural Networks for Object Detection

Jack Xin, Penghang Yin, Shuai Zhang, 2016, Journal of Computational Mathematics.

A geometric blind source separation method based on facet component analysis

Jack Xin, Penghang Yin, Yuanchang Sun, 2013, Signal Image Video Process..

Adversarial defense via the data-dependent activation, total variation minimization, and adversarial training

Wei Zhu, Andrea L. Bertozzi, Penghang Yin, 2021, Inverse Problems & Imaging.

Adversarial Defense via Data Dependent Activation Function and Total Variation Minimization pdf

Stanley Osher, Wei Zhu, Andrea L. Bertozzi, 2018, ArXiv.

Alternating direction method of multipliers with difference of convex functions

Lizhi Cheng, Tao Sun, Hao Jiang, 2018, Adv. Comput. Math..

Computations of Optimal Transport Distance with Fisher Information Regularization

Stanley Osher, Wuchen Li, Penghang Yin, 2017, J. Sci. Comput..

Iterative $\ell_1$ minimization for non-convex compressed sensing

Jack Xin, Penghang Yin, J. Xin, 2016 .

Minimization of ℓ1-2 for Compressed Sensing

Jack Xin, Qi He, Yifei Lou, 2015, SIAM J. Sci. Comput..

Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets pdf

Jack Xin, Stanley Osher, Penghang Yin, 2019, ICLR.

Blended coarse gradient descent for full quantization of deep neural networks

Jack Xin, Stanley Osher, Penghang Yin, 2018, Research in the Mathematical Sciences.

Point Source Super-resolution Via Non-convex $$L_1$$L1 Based Methods

Jack Xin, Yifei Lou, Penghang Yin, 2016, J. Sci. Comput..

Non-Ergodic Convergence Analysis of Heavy-Ball Algorithms

Hao Jiang, Tao Sun, Lei Guan, 2018, AAAI.

Generalized proximal smoothing (GPS) for phase retrieval.

Stanley Osher, Minh Pham, Jianwei Miao, 2018, Optics express.

Linear Feature Transform and Enhancement of Classification on Deep Neural Network

Jack Xin, Penghang Yin, Yingyong Qi, 2018, J. Sci. Comput..

Recurrence of Optimum for Training Weight and Activation Quantized Networks

J. Xin, Penghang Yin, Ziang Long, 2020, Applied and Computational Harmonic Analysis.

Stochastic Backward Euler: An Implicit Gradient Descent Algorithm for k-Means Clustering

Stanley Osher, Adam M. Oberman, Minh Pham, 2017, J. Sci. Comput..

$\ell_1$-minimization method for link flow correction

Jack Xin, Penghang Yin, Wenlong Jin, 2017, 1704.02052.

Training Ternary Neural Networks with Exact Proximal Operator pdf

Jack Xin, Penghang Yin, Shuai Zhang, 2016, ArXiv.

Unbalanced and Partial $$L_1$$L1 Monge–Kantorovich Problem: A Scalable Parallel First-Order Method

Stanley Osher, Wuchen Li, Penghang Yin, 2018, J. Sci. Comput..

Learning quantized neural nets by coarse gradient method for nonlinear classification

J. Xin, Penghang Yin, Ziang Long, 2020, Research in the Mathematical Sciences.

Laplacian smoothing gradient descent

S. Osher, Penghang Yin, Bao Wang, 2018, Research in the Mathematical Sciences.

Link Flow Correction For Inconsistent Traffic Flow Data Via 𝓁1-Minimization pdf

Jack Xin, Zhe Sun, Penghang Yin, 2017, ArXiv.

Transformed Schatten-1 iterative thresholding algorithms for low rank matrix completion

J. Xin, Penghang Yin, Shuai Zhang, 2015, Communications in Mathematical Sciences.

Transformed Schatten-1 Iterative Thresholding Algorithms for Matrix Rank Minimization and Applications pdf

Jack Xin, Penghang Yin, Shuai Zhang, 2015, ArXiv.