Weifeng Liu

Orcid: 0000-0002-5388-9080

Affiliations:
  • China University of Petroleum, Qingdao, College of Information and Control Engineering


According to our database1, Weifeng Liu authored at least 222 papers between 2006 and 2025.

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

Timeline

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Online presence:

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Bibliography

2025
Feature aggregation and connectivity for object re-identification.
Pattern Recognit., 2025

2024
Remote sensing image cloud removal based on multi-scale spatial information perception.
Multim. Syst., October, 2024

Deep Location Soft-Embedding-Based Network With Regional Scoring for Mammogram Classification.
IEEE Trans. Medical Imaging, September, 2024

Target Oriented Dynamic Adaption for Cross-Domain Few-Shot Learning.
Neural Process. Lett., June, 2024

Call White Black: Enhanced Image-Scaling Attack in Industrial Artificial Intelligence Systems.
IEEE Trans. Ind. Informatics, April, 2024

Central Attention with Multi-Graphs for Image Annotation.
Neural Process. Lett., April, 2024

Design of integrated interactive system for pre-diagnosis of breast cancer pathological images based on CNN and PyQt5.
Multim. Syst., April, 2024

Non-local Graph Convolutional Network.
Circuits Syst. Signal Process., April, 2024

FADS: Fourier-Augmentation Based Data-Shunting for Few-Shot Classification.
IEEE Trans. Circuits Syst. Video Technol., February, 2024

Simplified Multi-head Mechanism for Few-Shot Remote Sensing Image Classification.
Neural Process. Lett., February, 2024

MCNet: Magnitude consistency network for domain adaptive object detection under inclement environments.
Pattern Recognit., January, 2024

AdvST: Generating Unrestricted Adversarial Images via Style Transfer.
IEEE Trans. Multim., 2024

Investigating the Backdoor on DNNs Based on Recolorization and Reconstruction: From a Multi-Channel Perspective.
IEEE Trans. Inf. Forensics Secur., 2024

EME: Energy-Based Multiexpert Model for Long-Tailed Remote Sensing Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2024

Weight Saliency search with Semantic Constraint for Neural Machine Translation attacks.
Pattern Recognit. Lett., 2024

Enhanced online CAM: Single-stage weakly supervised semantic segmentation via collaborative guidance.
Pattern Recognit., 2024

Few-shot image classification via hybrid representation.
Pattern Recognit., 2024

SELM: Self-Motivated Ensemble Learning Model for Cross-Domain Few-Shot Classification in Hyperspectral Images.
IEEE Geosci. Remote. Sens. Lett., 2024

MWLN: Multilevel Wavelet Learning Network for Continuous-Scale Remote-Sensing Image Super-Resolution.
IEEE Geosci. Remote. Sens. Lett., 2024

Adaptive Gradient-based Word Saliency for adversarial text attacks.
Neurocomputing, 2024

Feedback-Irrelevant Mapping: An evaluation method for decoupled few-shot classification.
Eng. Appl. Artif. Intell., 2024

Ensembling Multi-View Discriminative Semantic Feature for Few-Shot Classification.
Eng. Appl. Artif. Intell., 2024

Adaptive Bidirectional Displacement for Semi-Supervised Medical Image Segmentation.
CoRR, 2024

Building Accurate Translation-Tailored LLMs with Language Aware Instruction Tuning.
CoRR, 2024

Towards Training A Chinese Large Language Model for Anesthesiology.
CoRR, 2024

Discriminative Representation-Based Classifier for Few-Shot Remote Sensing Classification.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Adaptive Immune-based Sound-Shape Code Substitution for Adversarial Chinese Text Attacks.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Rethinking Prior Information Generation with CLIP for Few-Shot Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

A Dual Stealthy Backdoor: From Both Spatial and Frequency Perspectives.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Cross-Domain Few-Shot classification via class-shared and class-specific dictionaries.
Pattern Recognit., December, 2023

Dynamic Feature Attention Network for Remote Sensing Image Dehazing.
Neural Process. Lett., December, 2023

GSA4FDA: Deep Geometric and Statistic Alignment for Fewer Labeled Domain Adaptation.
Neural Process. Lett., December, 2023

Decision fusion for few-shot image classification.
Int. J. Multim. Inf. Retr., December, 2023

Self-Paced Hard Task-Example Mining for Few-Shot Classification.
IEEE Trans. Circuits Syst. Video Technol., October, 2023

Feature Fusion Based Parallel Graph Convolutional Neural Network for Image Annotation.
Neural Process. Lett., October, 2023

Generation-based parallel particle swarm optimization for adversarial text attacks.
Inf. Sci., October, 2023

Non-Contrastive Nearest Neighbor Identity-Guided Method for Unsupervised Object Re-Identification.
IEEE Trans. Circuits Syst. Video Technol., June, 2023

Attention-Based Multi-View Feature Collaboration for Decoupled Few-Shot Learning.
IEEE Trans. Circuits Syst. Video Technol., May, 2023

Shared Dictionary Learning Via Coupled Adaptations for Cross-Domain Classification.
Neural Process. Lett., April, 2023

Semantic-Preserving Adversarial Text Attacks.
IEEE Trans. Sustain. Comput., 2023

Egocentric Early Action Prediction via Adversarial Knowledge Distillation.
ACM Trans. Multim. Comput. Commun. Appl., 2023

ARPCNN: Auxiliary Review-Based Personalized Attentional CNN for Trustworthy Recommendation.
IEEE Trans. Ind. Informatics, 2023

RAN: Region-Aware Network for Remote Sensing Image Super-Resolution.
IEEE Trans. Geosci. Remote. Sens., 2023

Dynamic Adaptive Attention-Guided Self-Supervised Single Remote-Sensing Image Denoising.
IEEE Trans. Geosci. Remote. Sens., 2023

MSCET: A Multi-Scenario Offloading Schedule for Biomedical Data Processing and Analysis in Cloud-Edge-Terminal Collaborative Vehicular Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Double Discriminative Constraint-Based Affine Nonnegative Representation for Few-Shot Remote Sensing Scene Classification.
IEEE Geosci. Remote. Sens. Lett., 2023

Deformable Convolutional Network Constrained by Contrastive Learning for Underwater Image Enhancement.
IEEE Geosci. Remote. Sens. Lett., 2023

Selecting Information Fusion Generative Adversarial Network for Remote-Sensing Image Cloud Removal.
IEEE Geosci. Remote. Sens. Lett., 2023

CSN: Component supervised network for few-shot classification.
Eng. Appl. Artif. Intell., 2023

Unlikelihood Tuning on Negative Samples Amazingly Improves Zero-Shot Translation.
CoRR, 2023

Deep Positional-Representation-Based Local Information Retention Networks for Mammography Classification.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

A Stable Vision Transformer for Out-of-Distribution Generalization.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Prompt-Learning for Cross-Lingual Relation Extraction.
Proceedings of the International Joint Conference on Neural Networks, 2023

Annealing Genetic-based Preposition Substitution for Text Rubbish Example Generation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Tilted Sparse Additive Models.
Proceedings of the International Conference on Machine Learning, 2023

Self-Compensating Learning for Few-Shot Segmentation.
Proceedings of the IEEE International Conference on Image Processing, 2023

Attribute Space Analysis for Image Editing.
Proceedings of the Image and Graphics - 12th International Conference, 2023

Tensor Canonical Correlation Analysis Networks for Multi-view Remote Sensing Scene Recognition (Extended Abstract).
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Poisson Process for Bayesian Optimization.
Proceedings of the International Conference on Automated Machine Learning, 2023

Interpretable Drawing Psychoanalysis via House-Tree-Person Test.
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

Multi-graph Laplacian Feature Mapping Incorporating Tag Information for Image Annotation.
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

2022
Answer Questions with Right Image Regions: A Visual Attention Regularization Approach.
ACM Trans. Multim. Comput. Commun. Appl., 2022

Domain-invariant Graph for Adaptive Semi-supervised Domain Adaptation.
ACM Trans. Multim. Comput. Commun. Appl., 2022

Learning Representation on Optimized High-Order Manifold for Visual Classification.
IEEE Trans. Multim., 2022

Tensor Canonical Correlation Analysis Networks for Multi-View Remote Sensing Scene Recognition.
IEEE Trans. Knowl. Data Eng., 2022

GCT: Graph Co-Training for Semi-Supervised Few-Shot Learning.
IEEE Trans. Circuits Syst. Video Technol., 2022

MDFM: Multi-Decision Fusing Model for Few-Shot Learning.
IEEE Trans. Circuits Syst. Video Technol., 2022

Multistep-Ahead Prediction of Ocean SSTA Based on Hybrid Empirical Mode Decomposition and Gated Recurrent Unit Model.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Co-Learning for Few-Shot Learning.
Neural Process. Lett., 2022

DMH-FSL: Dual-Modal Hypergraph for Few-Shot Learning.
Neural Process. Lett., 2022

Class Shared Dictionary Learning for Few-Shot Remote Sensing Scene Classification.
IEEE Geosci. Remote. Sens. Lett., 2022

Learning to Cooperate: Decision Fusion Method for Few-Shot Remote-Sensing Scene Classification.
IEEE Geosci. Remote. Sens. Lett., 2022

Rethinking Few-Shot Remote Sensing Scene Classification: A Good Embedding Is All You Need?
IEEE Geosci. Remote. Sens. Lett., 2022

Location Soft-Aggregation-Based Band Weighting for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2022

Multiorder Interaction Information Embedding-Based Multiview Fusion-Aided Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2022

U-Shaped Attention Connection Network for Remote-Sensing Image Super-Resolution.
IEEE Geosci. Remote. Sens. Lett., 2022

Adaptive multi-scale transductive information propagation for few-shot learning.
Knowl. Based Syst., 2022

Adaptive graph convolutional collaboration networks for semi-supervised classification.
Inf. Sci., 2022

Learning task-specific discriminative embeddings for few-shot image classification.
Neurocomputing, 2022

DLDL: Dynamic label dictionary learning via hypergraph regularization.
Neurocomputing, 2022

Multi-view learning for hyperspectral image classification: An overview.
Neurocomputing, 2022

Object re-identification with distribution corrected ranking list.
Neurocomputing, 2022

A graph convolutional neural network model with Fisher vector encoding and channel-wise spatial-temporal aggregation for skeleton-based action recognition.
IET Image Process., 2022

Vega-MT: The JD Explore Academy Translation System for WMT22.
CoRR, 2022

Bridging Cross-Lingual Gaps During Leveraging the Multilingual Sequence-to-Sequence Pretraining for Text Generation.
CoRR, 2022

Selecting task with optimal transport self-supervised learning for few-shot classification.
CoRR, 2022

CSN: Component-Supervised Network for Few-Shot Classification.
CoRR, 2022

Vega-MT: The JD Explore Academy Machine Translation System for WMT22.
Proceedings of the Seventh Conference on Machine Translation, 2022

Multi-relational Semantic Distillation for Few-Shot Object Detection.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Multi-task Facial Expression Recognition With Joint Gender Learning.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

MVFF: Multi-view Feature Fusion for Few-shot Remote Sensing Image Scene Classification.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Where Does the Performance Improvement Come From?: - A Reproducibility Concern about Image-Text Retrieval.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Automated Drawing Psychoanalysis via House-Tree-Person Test.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

EMAS: Efficient Meta Architecture Search for Few-Shot Learning.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Virtual Try-on via Matching Relation with Landmark.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Image Super-Resolution Based on Adaptive Feature Fusion Channel Attention.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

MSL-FER: Mirrored Self-Supervised Learning for Facial Expression Recognition.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Agcyclegan: Attention-Guided Cyclegan for Single Underwater Image Restoration.
Proceedings of the IEEE International Conference on Acoustics, 2022

Enrich Features for Few-Shot Point Cloud Classification.
Proceedings of the IEEE International Conference on Acoustics, 2022

On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine Translation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
Urban Perception: Sensing Cities via a Deep Interactive Multi-task Learning Framework.
ACM Trans. Multim. Comput. Commun. Appl., 2021

Dynamic Graph Learning Convolutional Networks for Semi-supervised Classification.
ACM Trans. Multim. Comput. Commun. Appl., 2021

A Survey on Canonical Correlation Analysis.
IEEE Trans. Knowl. Data Eng., 2021

MKEL: Multiple Kernel Ensemble Learning via Unified Ensemble Loss for Image Classification.
ACM Trans. Intell. Syst. Technol., 2021

Saliency-Guided Remote Sensing Image Super-Resolution.
Remote. Sens., 2021

Cross-Dimension Attention Guided Self-Supervised Remote Sensing Single-Image Super-Resolution.
Remote. Sens., 2021

Unified Cross-domain Classification via Geometric and Statistical Adaptations.
Pattern Recognit., 2021

PaintNet: A shape-constrained generative framework for generating clothing from fashion model.
Multim. Tools Appl., 2021

Semi-supervised classification by graph <i>p</i>-Laplacian convolutional networks.
Inf. Sci., 2021

Targeted Attention Attack on Deep Learning Models in Road Sign Recognition.
IEEE Internet Things J., 2021

Accurately modeling the human brain functional correlations with hypergraph Laplacian.
Neurocomputing, 2021

Human activity recognition by manifold regularization based dynamic graph convolutional networks.
Neurocomputing, 2021

Example-feature graph convolutional networks for semi-supervised classification.
Neurocomputing, 2021

Learn from Object Counting: Crowd Counting with Meta-learning.
IET Image Process., 2021

CNN-combined graph residual network with multilevel feature fusion for hyperspectral image classification.
IET Comput. Vis., 2021

Semantic-Preserving Adversarial Text Attacks.
CoRR, 2021

Answer Questions with Right Image Regions: A Visual Attention Regularization Approach.
CoRR, 2021

From Objects to a Whole Painting.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Adaptive Eigenmodes for Robust Object Tracking.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Collaborative Representation for Deep Meta Metric Learning.
Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021

BESA: BERT-based Simulated Annealing for Adversarial Text Attacks.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Hazy Re-ID: An Interference Suppression Model for Domain Adaptation Person Re-Identification Under Inclement Weather Condition.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Affine Non-Negative Collaborative Representation for Deep Metric Learning.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Linked Attention-Based Dynamic Graph Convolution Module for Point Cloud Classification.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Leveraging GANs via Non-local Features.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Edge Loss for Remote Sensing Image Super-Resolution.
Proceedings of CECNet 2021, 2021

Interference Distillation for Underwater Fish Recognition.
Proceedings of the Pattern Recognition - 6th Asian Conference, 2021

Bigram and Unigram Based Text Attack via Adaptive Monotonic Heuristic Search.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Recent Advances of Manifold-based Graph Convolutional Networks for Remote Sensing Images Recognition.
Proceedings of the Generalization with Deep Learning: For Improvement on Sensing Capability, 2021

2020
Class specific or shared? A cascaded dictionary learning framework for image classification.
Signal Process., 2020

Domain Adaptation with Few Labeled Source Samples by Graph Regularization.
Neural Process. Lett., 2020

HesGCN: Hessian graph convolutional networks for semi-supervised classification.
Inf. Sci., 2020

Label embedded dictionary learning for image classification.
Neurocomputing, 2020

SAHDL: Sparse Attention Hypergraph Regularized Dictionary Learning.
CoRR, 2020

Learning Domain-invariant Graph for Adaptive Semi-supervised Domain Adaptation with Few Labeled Source Samples.
CoRR, 2020

Probabilistic Memory Model for Visual Images Categorization.
Comput. Informatics, 2020

Understanding the Relationship Between Human Brain Structure and Function by Predicting the Structural Connectivity From Functional Connectivity.
IEEE Access, 2020

Local structure alignment guided domain adaptation with few source samples.
Proceedings of the MMAsia 2020: ACM Multimedia Asia, 2020

2019
Hypergraph $p$ -Laplacian Regularization for Remotely Sensed Image Recognition.
IEEE Trans. Geosci. Remote. Sens., 2019

$p$ -Laplacian Regularization for Scene Recognition.
IEEE Trans. Cybern., 2019

Hessian Regularized Distance Metric Learning for People Re-Identification.
Neural Process. Lett., 2019

Effective human action recognition by combining manifold regularization and pairwise constraints.
Multim. Tools Appl., 2019

Hessian-Regularized Multitask Dictionary Learning for Remote Sensing Image Recognition.
IEEE Geosci. Remote. Sens. Lett., 2019

HpLapGCN: Hypergraph <i>p</i>-Laplacian graph convolutional networks.
Neurocomputing, 2019

Advances in data representation and learning for pattern analysis.
Neurocomputing, 2019

Two-order graph convolutional networks for semi-supervised classification.
IET Image Process., 2019

Label Embedded Dictionary Learning for Image Classification.
CoRR, 2019

Ensemble p-Laplacian Regularization for Scene Image Recognition.
Cogn. Comput., 2019

Principal Component Analysis on Graph-Hessian.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

2018
Data mining in human activity analysis.
Signal Process., 2018

Reinforcement online learning for emotion prediction by using physiological signals.
Pattern Recognit. Lett., 2018

Biological modeling of human visual system for object recognition using GLoP filters and sparse coding on multi-manifolds.
Mach. Vis. Appl., 2018

Multiview dimension reduction via Hessian multiset canonical correlations.
Inf. Fusion, 2018

Ensemble p-Laplacian Regularization for Remote Sensing Image Recognition.
CoRR, 2018

Hypergraph p-Laplacian Regularization for Remote Sensing Image Recognition.
CoRR, 2018

Color Transfer Pulse-Coupled Neural Networks for Underwater Robotic Visual Systems.
IEEE Access, 2018

Recognition of Working Condition in Sucker-Rod Pumping Wells Based on Multi-View Kernel Learning and Hessian-Regularized Logistic Regression.
Proceedings of the 2018 IEEE International Conference on Signal Processing, 2018

The comparison of different graph convolutional neural networks for image recognition.
Proceedings of the 10th International Conference on Internet Multimedia Computing and Service, 2018

2017
Multiview Cauchy Estimator Feature Embedding for Depth and Inertial Sensor-Based Human Action Recognition.
IEEE Trans. Syst. Man Cybern. Syst., 2017

LMAE: A large margin Auto-Encoders for classification.
Signal Process., 2017

Road Detection by Using a Generalized Hough Transform.
Remote. Sens., 2017

Cauchy Estimator Discriminant Learning for RGB-D Sensor-based Scene Classification.
Multim. Tools Appl., 2017

Multiview Canonical Correlation Analysis Networks for Remote Sensing Image Recognition.
IEEE Geosci. Remote. Sens. Lett., 2017

Dictionary Learning-Based Hough Transform for Road Detection in Multispectral Image.
IEEE Geosci. Remote. Sens. Lett., 2017

Support vector machine active learning by Hessian regularization.
J. Vis. Commun. Image Represent., 2017

Sparse Canonicial Correlation Analysis for Mobile Media Recognition on the Cloud.
J. Mobile Multimedia, 2017

Canonical correlation analysis networks for two-view image recognition.
Inf. Sci., 2017

Diversified shared latent structure based localization for blind persons.
Proceedings of the International Conference on Security, Pattern Analysis, and Cybernetics, 2017

Multiple Scale Canonical Correlation Analysis Networks for Two-View Object Recognition.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016
p-Laplacian Regularized Sparse Coding for Human Activity Recognition.
IEEE Trans. Ind. Electron., 2016

Big data meets multimedia analytics.
Signal Process., 2016

Large-scale paralleled sparse principal component analysis.
Multim. Tools Appl., 2016

HSAE: A Hessian regularized sparse auto-encoders.
Neurocomputing, 2016

Manifold regularized kernel logistic regression for web image annotation.
Neurocomputing, 2016

Hessian regularization by patch alignment framework.
Neurocomputing, 2016

Class specific dictionary learning based kernel collaborative representation for fine-grained image classification.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Semi-supervised Hessian Eigenmap for Human Action Recognition.
Proceedings of the Intelligent Visual Surveillance - 4th Chinese Conference, 2016

Local Structure Preserving Using Manifold Regularization and Pairwise Constraints for Action Recognition.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2015
Theoretical Methods in Machine Learning.
Proceedings of the Springer Handbook of Computational Intelligence, 2015

Multiview Hessian regularized logistic regression for action recognition.
Signal Process., 2015

A general framework for co-training and its applications.
Neurocomputing, 2015

Hessian Regularized Sparse Coding for Human Action Recognition.
Proceedings of the MultiMedia Modeling - 21st International Conference, 2015

Sparse canonical correlation analysis for recognition.
Proceedings of the 7th International Conference on Internet Multimedia Computing and Service, 2015

Sparse principle motion component for one-shot gesture recognition.
Proceedings of the 7th International Conference on Internet Multimedia Computing and Service, 2015

2014
Multiview Hessian discriminative sparse coding for image annotation.
Comput. Vis. Image Underst., 2014

Multi-view Face Analysis Based on Gabor Features.
CoRR, 2014

Laplacian regularized active learning for image segmentation.
Proceedings of the Proceedings IEEE International Conference on Security, 2014

Laplacian-Hessian regularization for semi-supervised classification.
Proceedings of the Proceedings IEEE International Conference on Security, 2014

Co-regularization for classification.
Proceedings of the Proceedings IEEE International Conference on Security, 2014

Class specific subspace learning for collaborative representation.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

2013
Editorial A Successful Change From TNN to TNNLS and a Very Successful Year.
IEEE Trans. Neural Networks Learn. Syst., 2013

Hessian Regularized Support Vector Machines for Mobile Image Annotation on the Cloud.
IEEE Trans. Multim., 2013

Multiview Hessian Regularization for Image Annotation.
IEEE Trans. Image Process., 2013

Dictionary learning based image enhancement for rarity detection
CoRR, 2013

Self-Explanatory Convex Sparse Representation for Image Classification.
Proceedings of the IEEE International Conference on Systems, 2013

Discriminant Multi-component Face Analysis.
Proceedings of the IEEE International Conference on Systems, 2013

Object-of-interest extraction based on sparse coding.
Proceedings of the International Conference on Internet Multimedia Computing and Service, 2013

Facial expression recognition based on Hessian regularized support vector machine.
Proceedings of the International Conference on Internet Multimedia Computing and Service, 2013

Detection of static salient objects based on visual attention and edge features.
Proceedings of the International Conference on Internet Multimedia Computing and Service, 2013

Bio-inspired invariant visual feature representation based on K-SVD and SURF algorithms.
Proceedings of the International Conference on Internet Multimedia Computing and Service, 2013

2012
The eighth annual MLSP competition: Overview.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Facial expression recognition based on discriminative dictionary learning.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Cellular Differentiation Algorithm for High Dimensional Numerical Function Optimization.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Subject-Independent Facial Expression Recognition with Biologically Inspired Features.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Laplacian support vector machines for medical diagnosis.
Proceedings of the International Conference on Computerized Healthcare, 2012

Facial expression recognition based on Gabor features and sparse representation.
Proceedings of the 12th International Conference on Control Automation Robotics & Vision, 2012

2010
Fixed-budget kernel recursive least-squares.
Proceedings of the IEEE International Conference on Acoustics, 2010

Correntropy for Random Processes: Properties and Applications in Signal Processing.
Proceedings of the Information Theoretic Learning, 2010

2009
Extended kernel recursive least squares algorithm.
IEEE Trans. Signal Process., 2009

An Information Theoretic Approach of Designing Sparse Kernel Adaptive Filters.
IEEE Trans. Neural Networks, 2009

A low complexity robust detector in impulsive noise.
Signal Process., 2009

Kernel least mean square algorithm with constrained growth.
Signal Process., 2009

The correntropy MACE filter.
Pattern Recognit., 2009

A Target Detection Algorithm Based on Histogram Feature and Particle Swarm.
Proceedings of the Fifth International Conference on Natural Computation, 2009

2008
The Kernel Least-Mean-Square Algorithm.
IEEE Trans. Signal Process., 2008

Kernel Affine Projection Algorithms.
EURASIP J. Adv. Signal Process., 2008

The wellposedness analysis of the kernel adaline.
Proceedings of the International Joint Conference on Neural Networks, 2008

2007
Correntropy: Properties and Applications in Non-Gaussian Signal Processing.
IEEE Trans. Signal Process., 2007

A unifying criterion for instantaneous blind source separation based on correntropy.
Signal Process., 2007

Kernel LMS.
Proceedings of the IEEE International Conference on Acoustics, 2007

A New Information Theoretic Measure of PDF Symmetry.
Proceedings of the IEEE International Conference on Acoustics, 2007

2006
Correntropy: A Localized Similarity Measure.
Proceedings of the International Joint Conference on Neural Networks, 2006


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