J. Xin

Weighted Anisotropic–Isotropic Total Variation for Poisson Denoising
20237 citationsauthor #4
Feature Affinity Assisted Knowledge Distillation and Quantization of Deep Neural Networks on Label-Free Data
20233 citationsauthor #5
Efficient Image Segmentation Framework with Difference of Anisotropic and Isotropic Total Variation for Blur and Poisson Noise Removal
20230 citationsauthor #4
Difference of anisotropic and isotropic TV for segmentation under blur and Poisson noise
20233 citationsauthor #4
A Proximal Algorithm for Network Slimming
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Channel Pruning in Quantization-aware Training: an Adaptive Projection-gradient Descent-shrinkage-splitting Method
20221 citationsauthor #2
An Efficient Smoothing and Thresholding Image Segmentation Framework with Weighted Anisotropic-Isotropic Total Variation
20221 citationsauthor #4
An integrated recurrent neural network and regression model with spatial and climatic couplings for vector-borne disease dynamics
20221 citationsauthor #2
A Smoothing and Thresholding Image Segmentation Framework with Weighted Anisotropic-Isotropic Total Variation
20221 citationsauthor #4
Searching Intrinsic Dimensions of Vision Transformers
20223 citationsauthor #4
Structured Sparsity of Convolutional Neural Networks via Nonconvex Sparse Group Regularization
202115 citationsauthor #5
Structure Assisted NMF Methods for Separation of Degenerate Mixture Data with Application to NMR Spectroscopy
20211 citationsauthor #3
Network Compression via Cooperative Architecture Search and Distillation
20214 citationsauthor #2
Improving Efficient Semantic Segmentation Networks by Enhancing Multi-scale Feature Representation via Resolution Path Based Knowledge Distillation and Pixel Shuffle
20211 citationsauthor #4
RARTS: a Relaxed Architecture Search Method
20201 citationsauthor #3
Recurrence of Optimum for Training Weight and Activation Quantized Networks
20206 citationsauthor #3
Learning quantized neural nets by coarse gradient method for nonlinear classification
202010 citationsauthor #3
A Spatial-Temporal Graph Based Hybrid Infectious Disease Model with Application to COVID-19
202012 citationsauthor #3
Lorentzian peak sharpening and sparse blind source separation for NMR spectroscopy
20206 citationsauthor #2
RARTS: An Efficient First-Order Relaxed Architecture Search Method
20205 citationsauthor #3
A Recurrent Neural Network and Differential Equation Based Spatiotemporal Infectious Disease Model with Application to COVID-19
202014 citationsauthor #3
An Integrated Approach to Produce Robust Models with High Efficiency
20200 citationsauthor #3
Global Convergence and Geometric Characterization of Slow to Fast Weight Evolution in Neural Network Training for Classifying Linearly Non-Separable Data
20202 citationsauthor #3
A Weighted Difference of Anisotropic and Isotropic Total Variation for Relaxed Mumford-Shah Color and Multiphase Image Segmentation
202016 citationsauthor #4
Nonconvex Regularization for Network Slimming: Compressing CNNs Even More
20207 citationsauthor #5
Improving Network Slimming With Nonconvex Regularization
202012 citationsauthor #5
Convergence of stochastic structure-preserving schemes for computing effective diffusivity in random flows
20190 citationsauthor #3
𝓁0 Regularized Structured Sparsity Convolutional Neural Networks
20191 citationsauthor #5
Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets
2019396 citationsauthor #6
Computing Residual Diffusivity by Adaptive Basis Learning via Super-Resolution Deep Neural Networks
20194 citationsauthor #2
Short Paper: A Multistage Backward Differentiable Method for Constructing Light Convolutional Neural Networks
20190 citationsauthor #2
AutoShuffleNet: Learning Permutation Matrices via an Exact Lipschitz Continuous Penalty in Deep Convolutional Neural Networks
201930 citationsauthor #4
Learning Sparse Neural Networks via $\ell_0$ and T$\ell_1$ by a Relaxed Variable Splitting Method with Application to Multi-scale Curve Classification
20197 citationsauthor #2
Channel Pruning for Deep Neural Networks Via a Relaxed Groupwise Splitting Method
201913 citationsauthor #5
$\ell_0$ Regularized Structured Sparsity Convolutional Neural Networks
20190 citationsauthor #5
Convergence of a Relaxed Variable Splitting Coarse Gradient Descent Method for Learning Sparse Weight Binarized Activation Neural Network
20192 citationsauthor #2
A Study on Graph-Structured Recurrent Neural Networks and Sparsification with Application to Epidemic Forecasting
201921 citationsauthor #5
A Multistage Backward Differentiable Method for Constructing Light Convolutional Neural Networks
20190 citationsauthor #2
Convergence of a Relaxed Variable Splitting Method for Learning Sparse Neural Networks via ℓ 1, ℓ 0, and Transformed-ℓ 1 Penalties
201822 citationsauthor #2
Linear Feature Transform and Enhancement of Classification on Deep Neural Network
20183 citationsauthor #2
BinaryRelax: A Relaxation Approach For Training Deep Neural Networks With Quantized Weights
201887 citationsauthor #6
Blended coarse gradient descent for full quantization of deep neural networks
201867 citationsauthor #6
Three $$l_1$$l1 Based Nonconvex Methods in Constructing Sparse Mean Reverting Portfolios
20182 citationsauthor #3
$\ell_1$-minimization method for link flow correction
201710 citationsauthor #4
Difference-of-Convex Learning: Directional Stationarity, Optimality, and Sparsity
201792 citationsauthor #3
Deep Learning for Real-Time Crime Forecasting and Its Ternarization
201791 citationsauthor #6
Link Flow Correction For Inconsistent Traffic Flow Data Via 𝓁1-Minimization
20170 citationsauthor #4
Quantization and Training of Low Bit-Width Convolutional Neural Networks for Object Detection
201644 citationsauthor #4
Point Source Super-resolution Via Non-convex $$L_1$$L1 Based Methods
201650 citationsauthor #3
Sparse Kalman filtering approaches to realized covariance estimation from high frequency financial data
20165 citationsauthor #2
Training Ternary Neural Networks with Exact Proximal Operator
20169 citationsauthor #3
Iterative ℓ1 minimization for non-convex compressed sensing
201612 citationsauthor #2
A weighted difference of anisotropic and isotropic total variation for relaxed Mumford-Shah image segmentation
201612 citationsauthor #3
Weighted Elastic Net Penalized Mean-Variance Portfolio Design and Computation
201555 citationsauthor #3
Computational modeling of spectral data fitting with nonlinear distortions
20151 citationsauthor #3
Computational Aspects of Constrained L 1-L 2 Minimization for Compressive Sensing
201565 citationsauthor #3
Parallelization of a color-entropy preprocessed Chan-Vese model for face contour detection on multi-core CPU and GPU
20155 citationsauthor #4
Transformed Schatten-1 Iterative Thresholding Algorithms for Matrix Rank Minimization and Applications
20155 citationsauthor #3
Minimization of ℓ1-2 for Compressed Sensing
2015458 citationsauthor #4
Transformed Schatten-1 iterative thresholding algorithms for low rank matrix completion
201523 citationsauthor #3
A Weighted Difference of Anisotropic and Isotropic Total Variation Model for Image Processing
2015203 citationsauthor #4
Partially Blind Deblurring of Barcode from Out-of-Focus Blur
201418 citationsauthor #4
Minimization of transformed L1\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$L_1$$\end{document} penalty: theory, dif
2014104 citationsauthor #2
PhaseLiftOff: an Accurate and Stable Phase Retrieval Method Based on Difference of Trace and Frobenius Norms
201430 citationsauthor #2
Mathematical Modeling and Signal Processing in Speech and Hearing Sciences
201411 citationsauthor #1
Computing Sparse Representation in a Highly Coherent Dictionary Based on Difference of L1\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt}
2014139 citationsauthor #4
Blind Source Separation and Speech Enhancement
20143 citationsauthor #1
Minimization of Transformed L1 Penalty: Closed Form Representation and Iterative Thresholding Algorithms
201471 citationsauthor #2
Background Signal Processing, Statistical and Optimization Methods
20140 citationsauthor #1
Ratio and Difference of l 1 and l 2 Norms and Sparse Representation with Coherent Dictionaries
201483 citationsauthor #3
A randomly perturbed infomax algorithm for blind source separation
20132 citationsauthor #2
A Method for Finding Structured Sparse Solutions to Nonnegative Least Squares Problems with Applications
2013159 citationsauthor #3
A geometric blind source separation method based on facet component analysis
201315 citationsauthor #3
A Recursive Sparse Blind Source Separation Method and Its Application to Correlated Data in NMR Spectroscopy of Biofluids
201210 citationsauthor #2
Hybrid deterministic-stochastic gradient Langevin dynamics for Bayesian learning
20122 citationsauthor #2
A Triple-Microphone Real-Time Speech Enhancement Algorithm Based on Approximate Array Analytical Solutions
20120 citationsauthor #3
Convergence analysis of a randomly perturbed infomax algorithm for blind source separation
20120 citationsauthor #2
Nonnegative Sparse Blind Source Separation for NMR Spectroscopy by Data Clustering, Model Reduction, and 1 Minimization
201215 citationsauthor #2
A convex model and L1 minimization for musical noise reduction in blind source separation
20122 citationsauthor #3
Multi-Channel $l_{1}$ Regularized Convex Speech Enhancement Model and Fast Computation by the Split Bregman Method
201213 citationsauthor #3
Exploring Off Time Nature for Speech Enhancement
20121 citationsauthor #2
A Recursive Sparse Blind Source Separation Method for Nonnegative and Correlated Data in NMR Spectroscopy
20111 citationsauthor #2
Modeling Category Identification Using Sparse Instance Representation
20111 citationsauthor #4
Content Adaptive Image Matching by Color-Entropy Segmentation and Inpainting
20112 citationsauthor #2
A Convex Model for Nonnegative Matrix Factorization and Dimensionality Reduction on Physical Space
2011172 citationsauthor #5
A Semi-Blind Source Separation Method for Differential Optical Absorption Spectroscopy of Atmospheric Gas Mixtures
20113 citationsauthor #4
A Blind Source Separation Method for Nearly Degenerate Mixtures and Its Applications to NMR Spectroscopy
20111 citationsauthor #2
Postprocessing and sparse blind source separation of positive and partially overlapped data
201135 citationsauthor #5
MINIMIZATION FOR MUSICAL NOISE REDUCTION IN BLIND SOURCE SEPARATION
20110 citationsauthor #3
Underdetermined Sparse Blind Source Separation of Nonnegative and Partially Overlapped Data
201111 citationsauthor #2
Modeling Category Identification Using Sparse Instance Representation - eScholarship
20110 citationsauthor #4
A Recursive Sparse Blind Source Separation Method and Its Application to Correlated Data in NMR Spectroscopy of Biofluids
20110 citationsauthor #2
A sparse semi-blind source identification method and its application to Raman spectroscopy for explosives detection
20113 citationsauthor #2
Unique Solvability of Under-Determined Sparse Blind Separation of Nonnegative and Overlapped Data
20100 citationsauthor #2
STOCHASTIC APPROXIMATION AND A NONLOCALLY WEIGHTED SOFT-CONSTRAINED RECURSIVE ALGORITHM FOR BLIND SEPARATION OF REVERBERANT SPEECH MIXTURES
20101 citationsauthor #2
Reducing musical noise in blind source separation by time-domain sparse filters and split bregman method
20108 citationsauthor #3
A Critical Quantity for Noise Attenuation in Feedback Systems
201049 citationsauthor #2
Four Lower Division Student Research Topics: Preliminary Materials from UCI's Interdisciplinary Computational Applied Mathematics Program (iCamp)
20100 citationsauthor #2
Convexity and fast speech extraction by split bregman method
20102 citationsauthor #3
A Convex Model for Matrix Factorization and Dimensionality Reduction on Physical Space and Its Application to Blind Hyperspectral Unmixing
201012 citationsauthor #5

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