Xiaolin Huang

Orcid: 0000-0002-3382-5346

According to our database1, Xiaolin Huang authored at least 246 papers between 2008 and 2024.

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

Timeline

Legend:

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On csauthors.net:

Bibliography

2024
Low-Dimensional Gradient Helps Out-of-Distribution Detection.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Fast Global Image Smoothing via Quasi Weighted Least Squares.
Int. J. Comput. Vis., December, 2024

Revisiting Deep Ensemble for Out-of-Distribution Detection: A Loss Landscape Perspective.
Int. J. Comput. Vis., December, 2024

Improving the Post-Training Neural Network Quantization by Prepositive Feature Quantization.
IEEE Trans. Circuits Syst. Video Technol., April, 2024

Global Search and Analysis for the Nonconvex Two-Level ℓ₁ Penalty.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

Consensus-based distributed algorithm for GEP.
Signal Process., March, 2024

Query Attack by Multi-Identity Surrogates.
IEEE Trans. Artif. Intell., February, 2024

Self-Similarity Prior Distillation for Unsupervised Remote Physiological Measurement.
IEEE Trans. Multim., 2024

Revisiting Random Weight Perturbation for Efficiently Improving Generalization.
Trans. Mach. Learn. Res., 2024

Online Continual Learning via Logit Adjusted Softmax.
Trans. Mach. Learn. Res., 2024

Region-Based Unsupervised Low-Light Image Enhancement in the Wild With Explicit Domain Supervision.
IEEE Trans. Instrum. Meas., 2024

Attention-Guided and Noise-Resistant Learning for Robust Medical Image Segmentation.
IEEE Trans. Instrum. Meas., 2024

Towards robust neural networks via orthogonal diversity.
Pattern Recognit., 2024

Sparse Generalized Canonical Correlation Analysis: Distributed Alternating Iteration-Based Approach.
Neural Comput., 2024

Boosting certified robustness via an expectation-based similarity regularization.
Image Vis. Comput., 2024

MUSO: Achieving Exact Machine Unlearning in Over-Parameterized Regimes.
CoRR, 2024

Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement.
CoRR, 2024

Flat-LoRA: Low-Rank Adaption over a Flat Loss Landscape.
CoRR, 2024

DDoS: Diffusion Distribution Similarity for Out-of-Distribution Detection.
CoRR, 2024

Learning Analysis of Kernel Ridgeless Regression with Asymmetric Kernel Learning.
CoRR, 2024

Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection.
CoRR, 2024

Towards Natural Machine Unlearning.
CoRR, 2024

Data Imputation by Pursuing Better Classification: A Supervised Kernel-Based Method.
CoRR, 2024

Decentralized Kernel Ridge Regression Based on Data-dependent Random Feature.
CoRR, 2024

Inverse-Free Fast Natural Gradient Descent Method for Deep Learning.
CoRR, 2024

Machine Unlearning by Suppressing Sample Contribution.
CoRR, 2024

Kernel PCA for Out-of-Distribution Detection.
CoRR, 2024

Learn What You Need in Personalized Federated Learning.
CoRR, 2024

Noise Perturbation Based Graph Contrastive Learning via Flexible Filters for Node Classification.
Proceedings of the International Joint Conference on Neural Networks, 2024

Ambiguity Consistency and Uncertainty Minimization for Semi-Supervised Medical Image Segmentation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Phase Retrieval by Tensor Total Least Squares.
Proceedings of the IEEE International Conference on Acoustics, 2024

Learning Scalable Model Soup on a Single GPU: An Efficient Subspace Training Strategy.
Proceedings of the Computer Vision - ECCV 2024, 2024

Friendly Sharpness-Aware Minimization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

OrthCaps: An Orthogonal CapsNet with Sparse Attention Routing and Pruning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Unifying Gradients to Improve Real-World Robustness for Deep Networks.
ACM Trans. Intell. Syst. Technol., December, 2023

Improving the adversarial robustness of quantized neural networks via exploiting the feature diversity.
Pattern Recognit. Lett., December, 2023

ADSP: An adaptive sample pooling strategy for diagnostic testing.
J. Biomed. Informatics, October, 2023

An end-to-end lower limb activity recognition framework based on sEMG data augmentation and enhanced CapsNet.
Expert Syst. Appl., October, 2023

Improving adversarial robustness through a curriculum-guided reliable distillation.
Comput. Secur., October, 2023

Learning With Asymmetric Kernels: Least Squares and Feature Interpretation.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Potential Rockfall Source Identification and Hazard Assessment in High Mountains (Maoyaba Basin) of the Tibetan Plateau.
Remote. Sens., July, 2023

Low Dimensional Trajectory Hypothesis is True: DNNs Can Be Trained in Tiny Subspaces.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Learning non-parametric kernel via matrix decomposition for logistic regression.
Pattern Recognit. Lett., 2023

End-to-end kernel learning via generative random Fourier features.
Pattern Recognit., 2023

Weighted neural tangent kernel: a generalized and improved network-induced kernel.
Mach. Learn., 2023

Low-Dimensional Gradient Helps Out-of-Distribution Detection.
CoRR, 2023

Enhancing Kernel Flexibility via Learning Asymmetric Locally-Adaptive Kernels.
CoRR, 2023

Low-Rank Multitask Learning based on Tensorized SVMs and LSSVMs.
CoRR, 2023

PCR-CG: Point Cloud Registration via Deep Color and Geometry.
CoRR, 2023

DeCAB: Debiased Semi-supervised Learning for Imbalanced Open-Set Data.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Diffusion Representation for Asymmetric Kernels via Magnetic Transform.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multi-Frame Self-Supervised Depth Estimation with Multi-Scale Feature Fusion in Dynamic Scenes.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Resolve Domain Conflicts for Generalizable Remote Physiological Measurement.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

FG-UAP: Feature-Gathering Universal Adversarial Perturbation.
Proceedings of the International Joint Conference on Neural Networks, 2023

Consensus-Based Distributed Kernel One-class Support Vector Machine for Anomaly Detection.
Proceedings of the International Joint Conference on Neural Networks, 2023

One-Pixel Shortcut: On the Learning Preference of Deep Neural Networks.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Design and Analysis of Secure Localization Against Vulnerability-Induced Attack for Internet of Things.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

Measuring the Transferability of ℓ∞ Attacks by the ℓ2 Norm.
Proceedings of the IEEE International Conference on Acoustics, 2023

Investigating Catastrophic Overfitting in Fast Adversarial Training: A Self-fitting Perspective.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Data-Driven Safe Controller Synthesis for Deterministic Systems: A Posteriori Method With Validation Tests.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Better Loss Landscape Visualization for Deep Neural Networks with Trajectory Information.
Proceedings of the Asian Conference on Machine Learning, 2023

2022
Toward Robust Histology-Prior Embedding for Endomicroscopy Image Classification.
IEEE Trans. Medical Imaging, 2022

Adaptive Temporal-Frequency Network for Time-Series Forecasting.
IEEE Trans. Knowl. Data Eng., 2022

Hierarchical Superpixel Segmentation by Parallel CRTrees Labeling.
IEEE Trans. Image Process., 2022

Unsupervised Image Restoration With Quality-Task-Perception Loss.
IEEE Trans. Circuits Syst. Video Technol., 2022

Multivariate uncertain risk aversion with application to accounts receivables pricing.
Soft Comput., 2022

DFR-ST: Discriminative feature representation with spatio-temporal cues for vehicle re-identification.
Pattern Recognit., 2022

Relevance attack on detectors.
Pattern Recognit., 2022

A Generalized Framework for Edge-Preserving and Structure-Preserving Image Smoothing.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Towards a Unified Quadrature Framework for Large-Scale Kernel Machines.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Safety and Feasibility of a Novel Exoskeleton for Locomotor Rehabilitation of Subjects With Spinal Cord Injury: A Prospective, Multi-Center, and Cross-Over Clinical Trial.
Frontiers Neurorobotics, 2022

A Decentralized Framework for Kernel PCA with Projection Consensus Constraints.
CoRR, 2022

Efficient Generalization Improvement Guided by Random Weight Perturbation.
CoRR, 2022

On Multi-head Ensemble of Smoothed Classifiers for Certified Robustness.
CoRR, 2022

Random Fourier Features for Asymmetric Kernels.
CoRR, 2022

WPPG Net: A Non-contact Video Based Heart Rate Extraction Network Framework with Compatible Training Capability.
CoRR, 2022

Piecewise Linear Neural Networks and Deep Learning.
CoRR, 2022

Trainable Weight Averaging for Fast Convergence and Better Generalization.
CoRR, 2022

Bubble transfer spectral entropy and its application in epilepsy EEG analysis.
Commun. Nonlinear Sci. Numer. Simul., 2022

Disparity-constrained stereo endoscopic image super-resolution.
Int. J. Comput. Assist. Radiol. Surg., 2022

Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Scheme And Dataset for Evaluating Computer-Aided Polyp Detection System in Colonoscopy.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Mutual Diverse-Label Adversarial Training.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

One-shot Distributed Algorithm for Generalized Eigenvalue Problem.
Proceedings of the ICCAI '22: 8th International Conference on Computing and Artificial Intelligence, Tianjin, China, March 18, 2022

PCR-CG: Point Cloud Registration via Deep Explicit Color and Geometry.
Proceedings of the Computer Vision - ECCV 2022, 2022

Subspace Adversarial Training.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Handling Sparse Longitudinal Data with Irregular Missing Data - Analysis of Fecal Coliform Bacteria Data.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2022

Universal Adversarial Perturbation Generated by Using Attention Information.
Proceedings of the Advances in Intelligent Systems Research and Innovation, 2022

2021
Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT.
IEEE Trans. Medical Imaging, 2021

One-Shot Distributed Algorithm for PCA With RBF Kernels.
IEEE Signal Process. Lett., 2021

Mixed-precision quantized neural networks with progressively decreasing bitwidth.
Pattern Recognit., 2021

Adversarial Attack Type I: Cheat Classifiers by Significant Changes.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Analysis of regularized least-squares in reproducing kernel Kreĭn spaces.
Mach. Learn., 2021

Generalization Properties of hyper-RKHS and its Applications.
J. Mach. Learn. Res., 2021

Semi-tensor Product-based TensorDecomposition for Neural Network Compression.
CoRR, 2021

Adaptive Feature Alignment for Adversarial Training.
CoRR, 2021

Dominant Patterns: Critical Features Hidden in Deep Neural Networks.
CoRR, 2021

QueryNet: An Efficient Attack Framework with Surrogates Carrying Multiple Identities.
CoRR, 2021

Weighted Neural Tangent Kernel: A Generalized and Improved Network-Induced Kernel.
CoRR, 2021

Train Deep Neural Networks in 40-D Subspaces.
CoRR, 2021

Going Far Boosts Attack Transferability, but Do Not Do It.
CoRR, 2021

Intensive Care Unit False Alarm Identification Based on Convolution Neural Network.
IEEE Access, 2021

Colonoscopic Image Synthesis For Polyp Detector Enhancement Via Gan And Adversarial Training.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Asymmetric Attention Upsampling: Rethinking Upsampling For Biological Image Segmentation.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Towards Unbiased Random Features with Lower Variance For Stationary Indefinite Kernels.
Proceedings of the International Joint Conference on Neural Networks, 2021

Residual Enhanced Multi-Hypergraph Neural Network.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

ADVMIX: Data Augmentation for Accurate Scene Text Spotting.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Improving The Robustness Of Convolutional Neural Networks Via Sketch Attention.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

CDAda: A Curriculum Domain Adaptation for Nighttime Semantic Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Temperature Control-based FCS-MPC of Traction Converters<sup>*</sup>.
Proceedings of the CAA Symposium on Fault Detection, 2021

Residual Neural Network for Filter Kernel Design in Filtered Back-projection for CT Image Reconstruction.
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

Fast Learning in Reproducing Kernel Krein Spaces via Signed Measures.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

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. Multim., 2020

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

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

Learning Data-adaptive Non-parametric Kernels.
J. Mach. Learn. Res., 2020

Learning in-place residual homogeneity for single image detail enhancement.
J. Electronic Imaging, 2020

Learn Robust Features via Orthogonal Multi-Path.
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

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

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

Learning Bronchiole-Sensitive Airway Segmentation CNNs by Feature Recalibration and Attention Distillation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

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

Edge-Aware Graph Attention Network for Ratio of Edge-User Estimation in Mobile Networks.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Type I Attack For Generative Models.
Proceedings of the IEEE International Conference on Image Processing, 2020

Learning from partially labeled data.
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

A Real-time PCB Defect Detector Based on Supervised and Semi-supervised Learning.
Proceedings of the 28th European Symposium on Artificial Neural Networks, 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

Using Features Extracted From Vital Time Series for Early Prediction of Sepsis.
Proceedings of the 46th Computing in Cardiology, 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

Stability analysis of planar continuous piecewise linear systems.
Proceedings of the American Control Conference, 2010

Identification algorithm for standard continuous piecewise linear neural network.
Proceedings of the American Control Conference, 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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