Penghang Yin

发表

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..

$\ell_1$-minimization method for link flow correction

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

A geometric blind source separation method based on facet component analysis

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

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.

Global Convergence and Geometric Characterization of Slow to Fast Weight Evolution in Neural Network Training for Classifying Linearly Non-Separable Data pdf

Jack Xin, Penghang Yin, Ziang Long, 2020, ArXiv.

Recurrence of Optimum for Training Weight and Activation Quantized Networks pdf

Jack Xin, Penghang Yin, Ziang Long, 2020, ArXiv.

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..

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

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

Training Ternary Neural Networks with Exact Proximal Operator pdf

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

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

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

Generalized proximal smoothing (GPS) for phase retrieval.

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

Transformed Schatten-1 Iterative Thresholding Algorithms for Low Rank Matrix Completion

Jack Xin, Penghang Yin, Shuai Zhang, 2015 .

Non-Ergodic Convergence Analysis of Heavy-Ball Algorithms

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

Computations of Optimal Transport Distance with Fisher Information Regularization

Stanley Osher, Wuchen Li, Penghang Yin, 2017, 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..

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..

Minimization of ℓ1-2 for Compressed Sensing

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

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

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

Laplacian smoothing gradient descent pdf

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

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

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

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

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

Learning Quantized Neural Nets by Coarse Gradient Method for Non-linear Classification pdf

Jack Xin, Penghang Yin, Ziang Long, 2020, ArXiv.

Alternating direction method of multipliers with difference of convex functions

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

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.

Linear Feature Transform and Enhancement of Classification on Deep Neural Network

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

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

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

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

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

BinaryRelax: A Relaxation Approach For Training Deep Neural Networks With Quantized Weights pdf

Jack Xin, Stanley Osher, Penghang Yin, 2018, SIAM J. Imaging Sci..

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

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

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 .