Xiaolin Huang

According to our database1, Xiaolin Huang authored at least 122 papers between 2008 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2020
Real-time Image Smoothing via Iterative Least Squares.
ACM Trans. Graph., 2020

A Double-Variational Bayesian Framework in Random Fourier Features for Indefinite Kernels.
IEEE Trans. Neural Networks Learn. Syst., 2020

Online Robust Principal Component Analysis With Change Point Detection.
IEEE Trans. Multimedia, 2020

Toward Making Unsupervised Graph Hashing Discriminative.
IEEE Trans. Multimedia, 2020

Embedding Bilateral Filter in Least Squares for Efficient Edge-Preserving Image Smoothing.
IEEE Trans. Circuits Syst. Video Technol., 2020

End-to-end Kernel Learning via Generative Random Fourier Features.
CoRR, 2020

Attack on Multi-Node Attention for Object Detection.
CoRR, 2020

Analysis of Least Squares Regularized Regression in Reproducing Kernel Krein Spaces.
CoRR, 2020

Generalizing Random Fourier Features via Generalized Measures.
CoRR, 2020

A Communication-Efficient Distributed Algorithm for Kernel Principal Component Analysis.
CoRR, 2020

Random Features for Kernel Approximation: A Survey in Algorithms, Theory, and Beyond.
CoRR, 2020

Sparse Generalized Canonical Correlation Analysis: Distributed Alternating Iteration based Approach.
CoRR, 2020

Adversarial Imitation Attack.
CoRR, 2020

Stereo Endoscopic Image Super-Resolution Using Disparity-Constrained Parallel Attention.
CoRR, 2020

Double Backpropagation for Training Autoencoders against Adversarial Attack.
CoRR, 2020

Type I Attack for Generative Models.
CoRR, 2020

Generate High-Resolution Adversarial Samples by Identifying Effective Features.
CoRR, 2020

Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet.
CoRR, 2020

SCCNN: A Diagnosis Method for Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma Based on Siamese Cross Contrast Neural Network.
IEEE Access, 2020

Universal Adversarial Perturbation Generated by Attacking Layer-wise Relevance Propagation.
Proceedings of the 10th IEEE International Conference on Intelligent Systems, 2020

A Generalized Framework for Edge-Preserving and Structure-Preserving Image Smoothing.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Random Fourier Features via Fast Surrogate Leverage Weighted Sampling.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Indefinite Kernel Logistic Regression With Concave-Inexact-Convex Procedure.
IEEE Trans. Neural Networks Learn. Syst., 2019

Varifocal-Net: A Chromosome Classification Approach Using Deep Convolutional Networks.
IEEE Trans. Medical Imaging, 2019

Robust mixed one-bit compressive sensing.
Signal Process., 2019

Sparse Kernel Regression with Coefficient-based $\ell_q-$regularization.
J. Mach. Learn. Res., 2019

Guest Editorial introduction to the Focused section on wearable sensors, actuators, and robots for rehabilitation.
Int. J. Intell. Robotics Appl., 2019

A liver fibrosis staging method using cross-contrast network.
Expert Syst. Appl., 2019

Mixed-Precision Quantized Neural Network with Progressively Decreasing Bitwidth For Image Classification and Object Detection.
CoRR, 2019

DAmageNet: A Universal Adversarial Dataset.
CoRR, 2019

Deep Kernel Learning via Random Fourier Features.
CoRR, 2019

A Generalized Framework for Edge-preserving and Structure-preserving Image Smoothing.
CoRR, 2019

Online PCB Defect Detector On A New PCB Defect Dataset.
CoRR, 2019

Sparse Indefinite Kernel Learning on Sphere.
Aust. J. Intell. Inf. Process. Syst., 2019

AirwayNet: A Voxel-Connectivity Aware Approach for Accurate Airway Segmentation Using Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2019

2018
Classification With Truncated $\ell _{1}$ Distance Kernel.
IEEE Trans. Neural Networks Learn. Syst., 2018

Modified Sparse Linear-Discriminant Analysis via Nonconvex Penalties.
IEEE Trans. Neural Networks Learn. Syst., 2018

Robust Visual Tracking Revisited: From Correlation Filter to Template Matching.
IEEE Trans. Image Process., 2018

Adaptive Patient-Cooperative Control of a Compliant Ankle Rehabilitation Robot (CARR) With Enhanced Training Safety.
IEEE Trans. Ind. Electron., 2018

Fast Signal Recovery From Saturated Measurements by Linear Loss and Nonconvex Penalties.
IEEE Signal Process. Lett., 2018

Multi-task classification with sequential instances and tasks.
Signal Process. Image Commun., 2018

Nonconvex penalties with analytical solutions for one-bit compressive sensing.
Signal Process., 2018

Postural synergy based design of exoskeleton robot replicating human arm reaching movements.
Robotics Auton. Syst., 2018

Indefinite kernel spectral learning.
Pattern Recognit., 2018

A Preliminary Study on Robot-Assisted Ankle Rehabilitation for the Treatment of Drop Foot.
J. Intell. Robotic Syst., 2018

Multi-modal self-paced learning for image classification.
Neurocomputing, 2018

Pinball loss minimization for one-bit compressive sensing: Convex models and algorithms.
Neurocomputing, 2018

Varifocal-Net: A Chromosome Classification Approach using Deep Convolutional Networks.
CoRR, 2018

Generalization Properties of hyper-RKHS and its Application to Out-of-Sample Extensions.
CoRR, 2018

Adversarial Attack Type I: Generating False Positives.
CoRR, 2018

Learning Data-adaptive Nonparametric Kernels.
CoRR, 2018

Edge-Preserving Piecewise Linear Image Smoothing Using Piecewise Constant Filters.
CoRR, 2018

Common Interferences Removal from Dense Multichannel EEG Using Independent Component Decomposition.
Comput. Math. Methods Medicine, 2018

Deep Supervised Auto-encoder Hashing for Image Retrieval.
Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

Violence Detection Based on Spatio-Temporal Feature and Fisher Vector.
Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

New Motion Estimation with Angular-Distance Median Filter for Frame Interpolation.
Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

Small Lesion Classification in Dynamic Contrast Enhancement MRI for Breast Cancer Early Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Discrete Locally-Linear Preserving Hashing.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Privileged Semi-Supervised Learning.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Review on One-Bit Compressive Sensing and its Biomedical Applications.
Proceedings of the 23rd IEEE International Conference on Digital Signal Processing, 2018

Non-destructive Digitization of Soiled Historical Chinese Bamboo Scrolls.
Proceedings of the 13th IAPR International Workshop on Document Analysis Systems, 2018

Nonlinear Pairwise Layer and Its Training for Kernel Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Solution Path for Pin-SVM Classifiers With Positive and Negative τ Values.
IEEE Trans. Neural Networks Learn. Syst., 2017

Dynamic 2-D/3-D Rigid Registration Framework Using Point-To-Plane Correspondence Model.
IEEE Trans. Medical Imaging, 2017

Hybrid CS-DMRI: Periodic Time-Variant Subsampling and Omnidirectional Total Variation Based Reconstruction.
IEEE Trans. Medical Imaging, 2017

Efficient and Robust Corner Detectors Based on Second-Order Difference of Contour.
IEEE Signal Process. Lett., 2017

Adaptive block coordinate DIRECT algorithm.
J. Glob. Optim., 2017

Robust kernel canonical correlation analysis with applications to information retrieval.
Eng. Appl. Artif. Intell., 2017

Scale-Space Anisotropic Total Variation for Limited Angle Tomography.
CoRR, 2017

Online Robust Principal Component Analysis with Change Point Detection.
CoRR, 2017

Non-convex Penalties with Analytical Solutions for One-bit Compressive Sensing.
CoRR, 2017

Mixed one-bit compressive sensing with applications to overexposure correction for CT reconstruction.
CoRR, 2017

Data-driven robust optimization based on kernel learning.
Comput. Chem. Eng., 2017

Sheet metal forming limits as classification problem.
Proceedings of the Fifteenth IAPR International Conference on Machine Vision Applications, 2017

Indefinite Kernel Logistic Regression.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

A New Bayesian Method for Jointly Sparse Signal Recovery.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Robust Kernel Approximation for Classification.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Self-paced least square semi-coupled dictionary learning for person re-identification.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Overexposure Correction by Mixed One-Bit Compressive Sensing for C-Arm CT.
Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017

2016
Robust Multiframe Super-Resolution Employing Iteratively Re-Weighted Minimization.
IEEE Trans. Computational Imaging, 2016

Multiple Gaussian graphical estimation with jointly sparse penalty.
Signal Process., 2016

Rank-1 Tensor Properties with Applications to a Class of Tensor Optimization Problems.
SIAM J. Optim., 2016

Coordinate Descent Algorithm for Ramp Loss Linear Programming Support Vector Machines.
Neural Process. Lett., 2016

Robust Support Vector Machines for Classification with Nonconvex and Smooth Losses.
Neural Comput., 2016

A new weighted anisotropic total variation algorithm for limited angle tomography.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Example-based visual object counting with a sparsity constraint.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2016

Cost-sensitive sparse linear regression for crowd counting with imbalanced training data.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2016

Attention state assessment by analyzing electroencephalograph signals.
Proceedings of the 9th International Congress on Image and Signal Processing, 2016

Image Quality Analysis of Limited Angle Tomography Using the Shift-Variant Data Loss Model.
Proceedings of the Bildverarbeitung für die Medizin 2016 - Algorithmen - Systeme, 2016

2015
Signal recovery for jointly sparse vectors with different sensing matrices.
Signal Process., 2015

Two-level ℓ<sub>1</sub> minimization for compressed sensing.
Signal Process., 2015

Learning with the maximum correntropy criterion induced losses for regression.
J. Mach. Learn. Res., 2015

Sequential minimal optimization for SVM with pinball loss.
Neurocomputing, 2015

Pinball Loss Minimization for One-bit Compressive Sensing.
CoRR, 2015

Binary Reweighted l1-Norm Minimization for One-Bit Compressed Sensing.
Proceedings of the BIOSIGNALS 2015, 2015

2014
Support Vector Machine Classifier With Pinball Loss.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Ramp loss linear programming support vector machine.
J. Mach. Learn. Res., 2014

Non-parallel support vector classifiers with different loss functions.
Neurocomputing, 2014

Asymmetric least squares support vector machine classifiers.
Comput. Stat. Data Anal., 2014

Asymmetric v-tube support vector regression.
Comput. Stat. Data Anal., 2014

Quantile regression with ℓ 1 - regularization and Gaussian kernels.
Adv. Comput. Math., 2014

Multi-scale recurrence quantification analysis of heartbeat interval series in healthy vs. Heart failure subjects.
Proceedings of the 7th International Conference on Biomedical Engineering and Informatics, 2014

2013
Hinging Hyperplanes for Time-Series Segmentation.
IEEE Trans. Neural Networks Learn. Syst., 2013

Hierarchical Minutiae Matching for Fingerprint and Palmprint Identification.
IEEE Trans. Image Process., 2013

Support vector machines with piecewise linear feature mapping.
Neurocomputing, 2013

Fixed-size Pegasos for hinge and pinball loss SVM.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012
Exact Penalty and Optimality Condition for Nonseparable Continuous Piecewise Linear Programming.
J. Optim. Theory Appl., 2012

Nonlinear system identification with continuous piecewise linear neural network.
Neurocomputing, 2012

The hill detouring method for minimizing hinging hyperplanes functions.
Comput. Oper. Res., 2012

2011
Static and dynamic characteristics of rehabilitation joint powered by pneumatic muscles.
Ind. Robot, 2011

A 10-Degree of Freedom Exoskeleton Rehabilitation Robot with Ergonomic Shoulder Actuation Mechanism.
Int. J. Humanoid Robotics, 2011

Humanoid Motion Planning in the Goal Reaching Movement of Anthropomorphic Upper Limb.
Proceedings of the Intelligent Robotics and Applications - 4th International Conference, 2011

2010
A neural network of smooth hinge functions.
IEEE Trans. Neural Networks, 2010

Operation optimization for centrifugal chiller plants using continuous piecewise linear programming.
Proceedings of the IEEE International Conference on Systems, 2010

2009
Control methods for exoskeleton rehabilitation robot driven with pneumatic muscles.
Ind. Robot, 2009

Adaptive hinging hyperplanes and its applications in dynamic system identification.
Autom., 2009

Manipulator Workspace Boundary Extraction and Its Application in Workspace Analysis of the Human's Upper Extremity.
Adv. Robotics, 2009

On the Design of Exoskeleton Rehabilitation Robot with Ergonomic Shoulder Actuation Mechanism.
Proceedings of the Intelligent Robotics and Applications, Second International Conference, 2009

Nonlinear model predictive control using adaptive hinging hyperplanes model.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008
Configuration of Continuous Piecewise-Linear Neural Networks.
IEEE Trans. Neural Networks, 2008

A Second-Order Mapping PCA Based Intrinsic Dimension Estimate for Nonlinear Time Series.
Proceedings of the Fourth International Conference on Natural Computation, 2008


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