2024
Toward Transferable Adversarial Attacks Against Autoencoder-Based Network Intrusion Detectors.
IEEE Trans. Ind. Informatics, December, 2024
Low-Dimensional Gradient Helps Out-of-Distribution Detection.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024
Random fourier features for asymmetric kernels.
Mach. Learn., 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
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
Friendly Sharpness-Aware Minimization.
CoRR, 2024
Inverse-Free Fast Natural Gradient Descent Method for Deep Learning.
CoRR, 2024
Machine Unlearning by Suppressing Sample Contribution.
CoRR, 2024
Learn What You Need in Personalized Federated Learning.
CoRR, 2024
Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Kernel PCA for Out-of-Distribution Detection.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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
Progressive Stepwise Diffusion Model with Dual Decoders for Semi-Supervised Medical Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 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
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.
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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
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