Qinghua Hu

Orcid: 0000-0001-7765-8095

According to our database1, Qinghua Hu authored at least 408 papers between 2004 and 2024.

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Bibliography

2024
Learning Dynamic Compact Memory Embedding for Deformable Visual Object Tracking.
IEEE Trans. Neural Networks Learn. Syst., April, 2024

Stabilizing Multispectral Pedestrian Detection With Evidential Hybrid Fusion.
IEEE Trans. Circuits Syst. Video Technol., April, 2024

Enhancing Multi-Source Open-Set Domain Adaptation Through Nearest Neighbor Classification With Self-Supervised Vision Transformer.
IEEE Trans. Circuits Syst. Video Technol., April, 2024

Cascade & allocate: A cross-structure adversarial attack against models fusing vision and language.
Inf. Fusion, April, 2024

Theoretical analysis of divide-and-conquer ERM: From the perspective of multi-view.
Inf. Fusion, March, 2024

Autoencoder in Autoencoder Networks.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

Causal-Trivial Attention Graph Neural Network for Fault Diagnosis of Complex Industrial Processes.
IEEE Trans. Ind. Informatics, February, 2024

Improved generative adversarial network with deep metric learning for missing data imputation.
Neurocomputing, February, 2024

Autoencoder-Based Collaborative Attention GAN for Multi-Modal Image Synthesis.
IEEE Trans. Multim., 2024

Layer-Specific Knowledge Distillation for Class Incremental Semantic Segmentation.
IEEE Trans. Image Process., 2024

Task-Customized Mixture of Adapters for General Image Fusion.
CoRR, 2024

Invariant Test-Time Adaptation for Vision-Language Model Generalization.
CoRR, 2024

Selective Learning: Towards Robust Calibration with Dynamic Regularization.
CoRR, 2024

Exploring Diverse Representations for Open Set Recognition.
CoRR, 2024

Exploring Diverse Representations for Open Set Recognition.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Ahpatron: A New Budgeted Online Kernel Learning Machine with Tighter Mistake Bound.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Bi-directional Adapter for Multimodal Tracking.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Every Node Is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Collaborative Decision-Reinforced Self-Supervision for Attributed Graph Clustering.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

Skeleton Neural Networks via Low-Rank Guided Filter Pruning.
IEEE Trans. Circuits Syst. Video Technol., December, 2023

Towards a Deeper Understanding of Global Covariance Pooling in Deep Learning: An Optimization Perspective.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

OpenMix+: Revisiting Data Augmentation for Open Set Recognition.
IEEE Trans. Circuits Syst. Video Technol., November, 2023

Interaction-Aware Graph Neural Networks for Fault Diagnosis of Complex Industrial Processes.
IEEE Trans. Neural Networks Learn. Syst., September, 2023

WDAN: A Weighted Discriminative Adversarial Network With Dual Classifiers for Fine-Grained Open-Set Domain Adaptation.
IEEE Trans. Circuits Syst. Video Technol., September, 2023

Cross-Drone Transformer Network for Robust Single Object Tracking.
IEEE Trans. Circuits Syst. Video Technol., September, 2023

Orbital stability of pseudo-peakons for the fifth-order Camassa-Holm type equation.
Appl. Math. Lett., September, 2023

Scatter matrix decomposition for jointly sparse learning.
Pattern Recognit., August, 2023

AutoEncoder-Driven Multimodal Collaborative Learning for Medical Image Synthesis.
Int. J. Comput. Vis., August, 2023

Multi-Granularity Regularized Re-Balancing for Class Incremental Learning.
IEEE Trans. Knowl. Data Eng., July, 2023

Building hierarchical class structures for extreme multi-class learning.
Int. J. Mach. Learn. Cybern., July, 2023

Hierarchical Feature Selection Based on Label Distribution Learning.
IEEE Trans. Knowl. Data Eng., June, 2023

Multi-Level Cascade Sparse Representation Learning for Small Data Classification.
IEEE Trans. Circuits Syst. Video Technol., May, 2023

Multi-Source Collaborative Contrastive Learning for Decentralized Domain Adaptation.
IEEE Trans. Circuits Syst. Video Technol., May, 2023

MLI: A Multi-level Inference Mechanism for User Attributes in Social Networks.
ACM Trans. Inf. Syst., April, 2023

Meta-Probability Weighting for Improving Reliability of DNNs to Label Noise.
IEEE J. Biomed. Health Informatics, April, 2023

Class-Specific Semantic Reconstruction for Open Set Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

DiagVol: Multi-block Bézier Volume Modeling from Prescribed Diagonal Surface Pairs.
Comput. Aided Des., March, 2023

Coarse-to-Fine: Progressive Knowledge Transfer-Based Multitask Convolutional Neural Network for Intelligent Large-Scale Fault Diagnosis.
IEEE Trans. Neural Networks Learn. Syst., February, 2023

Latent Heterogeneous Graph Network for Incomplete Multi-View Learning.
IEEE Trans. Multim., 2023

Robust Multi-Drone Multi-Target Tracking to Resolve Target Occlusion: A Benchmark.
IEEE Trans. Multim., 2023

Confidence-Aware Fusion Using Dempster-Shafer Theory for Multispectral Pedestrian Detection.
IEEE Trans. Multim., 2023

Query-Efficient Black-Box Adversarial Attack With Customized Iteration and Sampling.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Dual-branch network with memory for video anomaly detection.
Multim. Syst., 2023

Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning.
CoRR, 2023

Bi-directional Adapter for Multi-modal Tracking.
CoRR, 2023

ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection.
CoRR, 2023

Semantic Equivariant Mixup.
CoRR, 2023

Reweighted Mixup for Subpopulation Shift.
CoRR, 2023

MoE-Fusion: Instance Embedded Mixture-of-Experts for Infrared and Visible Image Fusion.
CoRR, 2023

Fairness-guided Few-shot Prompting for Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Public Opinion Field Effect Fusion in Representation Learning for Trending Topics Diffusion.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Provable Dynamic Fusion for Low-Quality Multimodal Data.
Proceedings of the International Conference on Machine Learning, 2023

Calibrating Multimodal Learning.
Proceedings of the International Conference on Machine Learning, 2023

Coarse Helps Fine: A Multi-Granularity Discriminative Adversarial Network for Fine-Grained Open-Set Domain Adaptation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Hierarchical Label Inference Incorporating Attribute Semantics in Attributed Networks.
Proceedings of the IEEE International Conference on Data Mining, 2023

SocialEdge: Socialized Learning-Based Request Scheduling for Edge-Cloud Systems.
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

Tuning Pre-trained Model via Moment Probing.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

AREA: Adaptive Reweighting via Effective Area for Long-Tailed Classification.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Multi-modal Gated Mixture of Local-to-Global Experts for Dynamic Image Fusion.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MRSCN: A GNN-based Model for Mining Relationship Strength Changes Between Nodes in Dynamic Networks.
Proceedings of the Database Systems for Advanced Applications, 2023

Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Reliable and Interpretable Personalized Federated Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Weakly-Supervised Grounding for VQA with Dual Visual-Linguistic Interaction.
Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023

2022
MULFE: Multi-Label Learning via Label-Specific Feature Space Ensemble.
ACM Trans. Knowl. Discov. Data, 2022

CrabNet: Fully Task-Specific Feature Learning for One-Stage Object Detection.
IEEE Trans. Image Process., 2022

Learning a Prototype Discriminator With RBF for Multimodal Image Synthesis.
IEEE Trans. Image Process., 2022

Self-Supervised Fully Automatic Learning Machine for Intelligent Retail Container.
IEEE Trans. Instrum. Meas., 2022

Task-Sequencing Meta Learning for Intelligent Few-Shot Fault Diagnosis With Limited Data.
IEEE Trans. Ind. Informatics, 2022

Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation.
IEEE Trans. Cybern., 2022

Discriminative Transfer Learning for Driving Pattern Recognition in Unlabeled Scenes.
IEEE Trans. Cybern., 2022

Video Saliency Prediction via Joint Discrimination and Local Consistency.
IEEE Trans. Cybern., 2022

Hierarchical Semantic Risk Minimization for Large-Scale Classification.
IEEE Trans. Cybern., 2022

Semisupervised Laplace-Regularized Multimodality Metric Learning.
IEEE Trans. Cybern., 2022

Deep-LIFT: Deep Label-Specific Feature Learning for Image Annotation.
IEEE Trans. Cybern., 2022

Drone-Based RGB-Infrared Cross-Modality Vehicle Detection Via Uncertainty-Aware Learning.
IEEE Trans. Circuits Syst. Video Technol., 2022

Curiosity-Driven Class-Incremental Learning via Adaptive Sample Selection.
IEEE Trans. Circuits Syst. Video Technol., 2022

Deep collaborative multi-task network: A human decision process inspired model for hierarchical image classification.
Pattern Recognit., 2022

Majorities help minorities: Hierarchical structure guided transfer learning for few-shot fault recognition.
Pattern Recognit., 2022

Face photo-sketch synthesis via full-scale identity supervision.
Pattern Recognit., 2022

Detection and Tracking Meet Drones Challenge.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Deep Partial Multi-View Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Credible Internet of Intelligence Toward Future Multidimensional Connection.
IEEE Netw., 2022

Data reduction based on NN-kNN measure for NN classification and regression.
Int. J. Mach. Learn. Cybern., 2022

Uncertainty instructed multi-granularity decision for large-scale hierarchical classification.
Inf. Sci., 2022

Granular computing based machine learning in the era of big data.
Inf. Sci., 2022

Multi-granularity Inter-class Correlation Based Contrastive Learning for Open Set Recognition.
Int. J. Softw. Informatics, 2022

Learning Self-supervised Low-Rank Network for Single-Stage Weakly and Semi-supervised Semantic Segmentation.
Int. J. Comput. Vis., 2022

HS-Diffusion: Learning a Semantic-Guided Diffusion Model for Head Swapping.
CoRR, 2022

Class-Specific Semantic Reconstruction for Open Set Recognition.
CoRR, 2022

Single Object Tracking Research: A Survey.
CoRR, 2022

Uncertainty Measured Active Client Selection for Federated Learning in Smart Grid.
Proceedings of the IEEE International Conference on Smart Internet of Things, 2022

Self-Supervised Vision Transformer Based Nearest Neighbor Classification for Multi-Source Open-Set Domain Adaptation.
Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

DropCov: A Simple yet Effective Method for Improving Deep Architectures.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

DetFusion: A Detection-driven Infrared and Visible Image Fusion Network.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Domain Generalization via Maximum Intra-class Average Diameter Minimization.
Proceedings of the International Joint Conference on Neural Networks, 2022

Multi-granularity Weighted Federated Learning in Heterogeneous Mobile Edge Computing Systems.
Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

RCANet: Row-Column Attention Network for Semantic Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2022

Lightweight Model Inference on Resource-Constrained Computing Nodes in Intelligent Surveillance Systems.
Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2021
Socialized Learning for Smart Cities: Cognitive Paradigm, Methodology, and Solution.
IEEE Wirel. Commun., 2021

A Recursive Regularization Based Feature Selection Framework for Hierarchical Classification.
IEEE Trans. Knowl. Data Eng., 2021

Graph Regularized Flow Attention Network for Video Animal Counting From Drones.
IEEE Trans. Image Process., 2021

Cascade Convolutional Neural Network With Progressive Optimization for Motor Fault Diagnosis Under Nonstationary Conditions.
IEEE Trans. Ind. Informatics, 2021

Adaptive Nonconvex Sparsity Based Background Subtraction for Intelligent Video Surveillance.
IEEE Trans. Ind. Informatics, 2021

A Distributed Rough Evidential K-NN Classifier: Integrating Feature Reduction and Classification.
IEEE Trans. Fuzzy Syst., 2021

Multi-Drone-Based Single Object Tracking With Agent Sharing Network.
IEEE Trans. Circuits Syst. Video Technol., 2021

Low-rank adaptive graph embedding for unsupervised feature extraction.
Pattern Recognit., 2021

Self-paced hierarchical metric learning (SPHML).
Int. J. Mach. Learn. Cybern., 2021

PA-Net: Learning local features using by pose attention for short-term person re-identification.
Inf. Sci., 2021

RED-Nets: Redistribution Networks for Multi-View Classification.
Inf. Fusion, 2021

Open set recognition through Monte Carlo dropout-based uncertainty.
Int. J. Bio Inspired Comput., 2021

Unsupervised Heterogeneous Transfer Learning for Partial Co-occurrence Data.
Int. J. Artif. Intell. Tools, 2021

On the applicability of two-bit carbon nanotube through-silicon via for power distribution networks in 3-D integrated circuits.
IET Circuits Devices Syst., 2021

Interactive Model with Structural Loss for Language-based Abductive Reasoning.
CoRR, 2021

Learning Class-Agnostic Pseudo Mask Generation for Box-Supervised Semantic Segmentation.
CoRR, 2021

Probability granular distance-based fuzzy rough set model.
Appl. Soft Comput., 2021

Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Temporal-attentive Covariance Pooling Networks for Video Recognition.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Cross-View Equivariant Auto-Encoder.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021




T-SVDNet: Exploring High-Order Prototypical Correlations for Multi-Source Domain Adaptation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

MGFL: Multi-granularity Federated Learning in Edge Computing Systems.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2021

A Multilevel Inference Mechanism for User Attributes over Social Networks.
Proceedings of the Database Systems for Advanced Applications, 2021

Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Multi-View Information-Bottleneck Representation Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Uncertainty-Aware Multi-View Representation Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Adaptive Sample-Level Graph Combination for Partial Multiview Clustering.
IEEE Trans. Image Process., 2020

Single Image Deraining Using Bilateral Recurrent Network.
IEEE Trans. Image Process., 2020

Deep Fuzzy Tree for Large-Scale Hierarchical Visual Classification.
IEEE Trans. Fuzzy Syst., 2020

Hybrid Noise-Oriented Multilabel Learning.
IEEE Trans. Cybern., 2020

Feature Selection Based on Neighborhood Self-Information.
IEEE Trans. Cybern., 2020

Convolutional Reconstruction-to-Sequence for Video Captioning.
IEEE Trans. Circuits Syst. Video Technol., 2020

Generalized Latent Multi-View Subspace Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Boundary-aware High-resolution Network with region enhancement for salient object detection.
Neurocomputing, 2020

Optimal feasible step-size based working set selection for large scale SVMs training.
Neurocomputing, 2020

Smoothed LSTM-AE: A spatio-temporal deep model for multiple time-series missing imputation.
Neurocomputing, 2020

Face sketch-to-photo transformation with multi-scale self-attention GAN.
Neurocomputing, 2020

Tensorized Multi-view Subspace Representation Learning.
Int. J. Comput. Vis., 2020

Fuzzy dynamic timetable scheduling for public transit.
Fuzzy Sets Syst., 2020

Optimized high order product quantization for approximate nearest neighbors search.
Frontiers Comput. Sci., 2020

Expert Training: Task Hardness Aware Meta-Learning for Few-Shot Classification.
CoRR, 2020

An Efficient Index Method for the Optimal Route Query over Multi-Cost Networks.
CoRR, 2020

Drone Based RGBT Vehicle Detection and Counting: A Challenge.
CoRR, 2020

Vision Meets Drones: Past, Present and Future.
CoRR, 2020

Progressive Point To Set Metric Learning For Semi-Supervised Few-Shot Classification.
Proceedings of the IEEE International Conference on Image Processing, 2020

SPL-MLL: Selecting Predictable Landmarks for Multi-label Learning.
Proceedings of the Computer Vision - ECCV 2020, 2020





What Deep CNNs Benefit From Global Covariance Pooling: An Optimization Perspective.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Training Noise-Robust Deep Neural Networks via Meta-Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Neural Blind Deconvolution Using Deep Priors.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

An Index Method for the Shortest Path Query on Vertex Subset for the Large Graphs.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

Collaborative Graph Convolutional Networks: Unsupervised Learning Meets Semi-Supervised Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Weighted Graph Embedding-Based Metric Learning for Kinship Verification.
IEEE Trans. Image Process., 2019

Moving Object Detection in Video via Hierarchical Modeling and Alternating Optimization.
IEEE Trans. Image Process., 2019

Fuzzy Rough Set Based Feature Selection for Large-Scale Hierarchical Classification.
IEEE Trans. Fuzzy Syst., 2019

SG-FCN: A Motion and Memory-Based Deep Learning Model for Video Saliency Detection.
IEEE Trans. Cybern., 2019

Multi-kernel SVM based depression recognition using social media data.
Int. J. Mach. Learn. Cybern., 2019

Hierarchical feature selection with subtree based graph regularization.
Knowl. Based Syst., 2019

Possibility measure based fuzzy support function machine for set-based fuzzy classifications.
Inf. Sci., 2019

Drone-based Joint Density Map Estimation, Localization and Tracking with Space-Time Multi-Scale Attention Network.
CoRR, 2019

Multi-view Deep Subspace Clustering Networks.
CoRR, 2019

A Novel Index Method for K Nearest Object Query over Time-Dependent Road Networks.
Complex., 2019

Finding the Shortest Path with Vertex Constraint over Large Graphs.
Complex., 2019

An Improved Region-based Fully Convolutional Network for Automatic Pulmonary Nodules Detection.
Proceedings of the 20th IEEE/ACIS International Conference on Software Engineering, 2019

Transfer Learning for Driving Pattern Recognition.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Self-paced Robust Deep Face Recognition with Label Noise.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Semi-interactive Attention Network for Answer Understanding in Reverse-QA.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

CPM-Nets: Cross Partial Multi-View Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Batch Mode Active Learning with Nonlocal Self-Similarity Prior for Semantic Segmentation.
Proceedings of the International Joint Conference on Neural Networks, 2019

Coupled Dictionary Learning for Multi-label Embedding.
Proceedings of the International Joint Conference on Neural Networks, 2019

Spatio-temporal Active Learning for Visual Tracking.
Proceedings of the International Joint Conference on Neural Networks, 2019

Flexible Multi-View Representation Learning for Subspace Clustering.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Heterogeneous Transfer Clustering for Partial Co-occurrence Data.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Link Prediction with Attention-Based Semantic Influence of Multiple Neighbors.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Self-Attention Relation Network for Few-Shot Learning.
Proceedings of the IEEE International Conference on Multimedia & Expo Workshops, 2019



VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019


Reciprocal Multi-Layer Subspace Learning for Multi-View Clustering.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Labelled Non-zero Particle Flow for SMC-PHD Filtering.
Proceedings of the IEEE International Conference on Acoustics, 2019

Multi-task Learning Method for Hierarchical Time Series Forecasting.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019

Multi-task Sparse Regression Metric Learning for Heterogeneous Classification.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

Adaptive Graph Fusion for Unsupervised Feature Selection.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

Joint Metric Learning on Riemannian Manifold of Global Gaussian Distributions.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

Deep Global Generalized Gaussian Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Progressive Image Deraining Networks: A Better and Simpler Baseline.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Batch Mode Active Learning for Semantic Segmentation Based on Multi-Clue Sample Selection.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Feature Selection Based on Neighborhood Discrimination Index.
IEEE Trans. Neural Networks Learn. Syst., 2018

Low-Rank Linear Embedding for Image Recognition.
IEEE Trans. Multim., 2018

Large-Scale Multimodality Attribute Reduction With Multi-Kernel Fuzzy Rough Sets.
IEEE Trans. Fuzzy Syst., 2018

Neighbor Inconsistent Pair Selection for Attribute Reduction by Rough Set Approach.
IEEE Trans. Fuzzy Syst., 2018

Locally Linear Approximation Approach for Incomplete Data.
IEEE Trans. Cybern., 2018

Kernel-Based Semantic Hashing for Gait Retrieval.
IEEE Trans. Circuits Syst. Video Technol., 2018

Pooling the Convolutional Layers in Deep ConvNets for Video Action Recognition.
IEEE Trans. Circuits Syst. Video Technol., 2018

Distribution Sensitive Product Quantization.
IEEE Trans. Circuits Syst. Video Technol., 2018

Multi-label feature selection with missing labels.
Pattern Recognit., 2018

Multi-view label embedding.
Pattern Recognit., 2018

Deep super-class learning for long-tail distributed image classification.
Pattern Recognit., 2018

Efficient multi-modal geometric mean metric learning.
Pattern Recognit., 2018

Driver State Analysis Based on Imperfect Multi-view Evidence Support.
Neural Process. Lett., 2018

Feature selection based on maximal neighborhood discernibility.
Int. J. Mach. Learn. Cybern., 2018

Partially monotonic decision trees.
Inf. Sci., 2018

Co-regularized unsupervised feature selection.
Neurocomputing, 2018

Uncertain data classification with additive kernel support vector machine.
Data Knowl. Eng., 2018

Unsupervised Degradation Learning for Single Image Super-Resolution.
CoRR, 2018

Detecting Adversarial Examples via Key-based Network.
CoRR, 2018

Vision Meets Drones: A Challenge.
CoRR, 2018

Latent Subspace Representation for Multiclass Classification.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Visual Analysis for Online Communities Exploration Based on Social Data.
Proceedings of the New Trends in Computer Technologies and Applications, 2018

Monotonicity Induced Parameter Learning for Bayesian Networks with Limited Data.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Beyond Similar and Dissimilar Relations : A Kernel Regression Formulation for Metric Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Towards Generalized and Efficient Metric Learning on Riemannian Manifold.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

FISH-MML: Fisher-HSIC Multi-View Metric Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Monotonicity Extraction for Monotonic Bayesian Networks Parameter Learning.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Ensemble of Label Specific Features for Multi-Label Classification.
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

Feature Reinforcement Network for Image Classification.
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

Support Vector Metric Learning on Symmetric Positive Definite Manifold.
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

Generalized Multi-view Unsupervised Feature Selection.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018


VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018


Finding the K Nearest Objects over Time Dependent Road Networks.
Proceedings of the Web and Big Data - Second International Joint Conference, 2018

Latent Semantic Aware Multi-View Multi-Label Classification.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Twitter summarization with social-temporal context.
World Wide Web, 2017

Semisupervised Online Multikernel Similarity Learning for Image Retrieval.
IEEE Trans. Multim., 2017

Flexible Multi-View Dimensionality Co-Reduction.
IEEE Trans. Image Process., 2017

A Fitting Model for Feature Selection With Fuzzy Rough Sets.
IEEE Trans. Fuzzy Syst., 2017

Streaming Feature Selection for Multilabel Learning Based on Fuzzy Mutual Information.
IEEE Trans. Fuzzy Syst., 2017

Semi-Supervised Image-to-Video Adaptation for Video Action Recognition.
IEEE Trans. Cybern., 2017

Attribute Selection for Partially Labeled Categorical Data By Rough Set Approach.
IEEE Trans. Cybern., 2017

Subspace clustering guided unsupervised feature selection.
Pattern Recognit., 2017

A unified information measure for general binary relations.
Knowl. Based Syst., 2017

Probability approach for interval-valued ordered decision systems in dominance-based fuzzy rough set theory.
J. Intell. Fuzzy Syst., 2017

Non-convex regularized self-representation for unsupervised feature selection.
Image Vis. Comput., 2017

Support function machine for set-based classification with application to water quality evaluation.
Inf. Sci., 2017

Self-adaptive robust nonlinear regression for unknown noise via mixture of Gaussians.
Neurocomputing, 2017

Hierarchical Feature Selection with Recursive Regularization.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Stochastic Sequential Minimal Optimization for Large-Scale Linear SVM.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Multi-view Label Space Dimension Reduction.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Independence regularized multi-label ensemble.
Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

Top attention in line with time: A light-weight strategy.
Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

Mixed sparsity regularized multi-view unsupervised feature selection.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Unsupervised feature selection by manifold regularized self-representation.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Local Bayes Risk Minimization Based Stopping Strategy for Hierarchical Classification.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Semi-Supervised Multi-view Multi-label Classification Based on Nonnegative Matrix Factorization.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Latent Multi-view Subspace Clustering.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Relevance and Coherence Based Image Caption.
Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017

2016
Data-Distribution-Aware Fuzzy Rough Set Model and its Application to Robust Classification.
IEEE Trans. Cybern., 2016

Efficient Background Modeling Based on Sparse Representation and Outlier Iterative Removal.
IEEE Trans. Circuits Syst. Video Technol., 2016

Convolutional neural random fields for action recognition.
Pattern Recognit., 2016

Semi-supervised image clustering with multi-modal information.
Multim. Syst., 2016

Feature and instance reduction for PNN classifiers based on fuzzy rough sets.
Int. J. Mach. Learn. Cybern., 2016

Multivariate decision trees with monotonicity constraints.
Knowl. Based Syst., 2016

Discrete particle swarm optimization approach for cost sensitive attribute reduction.
Knowl. Based Syst., 2016

Attribute reduction in interval-valued information systems based on information entropies.
Frontiers Inf. Technol. Electron. Eng., 2016

Decision-theoretic rough set approach for fuzzy decisions based on fuzzy probability measure and decision making.
J. Intell. Fuzzy Syst., 2016

Combining neighborhood separable subspaces for classification via sparsity regularized optimization.
Inf. Sci., 2016

Cost-sensitive feature selection based on adaptive neighborhood granularity with multi-level confidence.
Inf. Sci., 2016

Multi-label feature selection with streaming labels.
Inf. Sci., 2016

Multi-document summarization via group sparse learning.
Inf. Sci., 2016

Day-Ahead Prediction of Wind Speed with Deep Feature Learning.
Int. J. Pattern Recognit. Artif. Intell., 2016

Hierarchical support vector machine based structural classification with fused hierarchies.
Neurocomputing, 2016

Cluster structure preserving unsupervised feature selection for multi-view tasks.
Neurocomputing, 2016

Ultra-short-term wind speed prediction based on multi-scale predictability analysis.
Clust. Comput., 2016

Multi-label feature selection based on neighborhood mutual information.
Appl. Soft Comput., 2016

Complex convolution Kernel for deep networks.
Proceedings of the 8th International Conference on Wireless Communications & Signal Processing, 2016

DualPOS: A Semi-supervised Attribute Selection Approach for Symbolic Data Based on Rough Set Theory.
Proceedings of the Web-Age Information Management - 17th International Conference, 2016

Semi-supervised Clustering Based on Artificial Bee Colony Algorithm with Kernel Strategy.
Proceedings of the Web-Age Information Management - 17th International Conference, 2016

Set to Set Visual Tracking.
Proceedings of the PRICAI 2016: Trends in Artificial Intelligence, 2016

Multi-view Representative and Informative Induced Active Learning.
Proceedings of the PRICAI 2016: Trends in Artificial Intelligence, 2016

Locally Weighted Ensemble Learning for Regression.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

A Self-Representation Induced Classifier.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Robust Multi-label Feature Selection with Missing Labels.
Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016

AdaUK-Means: An Ensemble Boosting Clustering Algorithm on Uncertain Objects.
Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016

Unsupervised Subspace Learning via Analysis Dictionary Learning.
Proceedings of the Biometric Recognition - 11th Chinese Conference, 2016

A Label Inference Method Based on Maximal Entropy Random Walk over Graphs.
Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016

Coupled Dictionary Learning for Unsupervised Feature Selection.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Heterogeneous Feature Selection With Multi-Modal Deep Neural Networks and Sparse Group LASSO.
IEEE Trans. Multim., 2015

Unsupervised feature selection by regularized self-representation.
Pattern Recognit., 2015

Improved support vector machine algorithm for heterogeneous data.
Pattern Recognit., 2015

Kernel sparse representation for time series classification.
Inf. Sci., 2015

Combining heterogeneous deep neural networks with conditional random fields for Chinese dialogue act recognition.
Neurocomputing, 2015

Kernel ridge regression for general noise model with its application.
Neurocomputing, 2015

Multi-label feature selection based on max-dependency and min-redundancy.
Neurocomputing, 2015

Large margin clustering on uncertain data by considering probability distribution similarity.
Neurocomputing, 2015

HAlign: Fast multiple similar DNA/RNA sequence alignment based on the centre star strategy.
Bioinform., 2015

An improved attribute reduction scheme with covering based rough sets.
Appl. Soft Comput., 2015

Fuzzy Rough Decision Trees for Multi-label Classification.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2015

Improved multi-kernel SVM for multi-modal and imbalanced dialogue act classification.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Random Feature Mapping with Signed Circulant Matrix Projection.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Heterogeneous Features Integration via Semi-supervised Multi-modal Deep Networks.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Salience based hierarchical fuzzy representation for object recognition.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014
Improved conditional random fields model with multi-trigger embedding for Chinese event extraction.
World Wide Web, 2014

Exploration of classification confidence in ensemble learning.
Pattern Recognit., 2014

Noise model based v-support vector regression with its application to short-term wind speed forecasting.
Neural Networks, 2014

Comparative analysis on margin based feature selection algorithms.
Int. J. Mach. Learn. Cybern., 2014

Exploiting diversity for optimizing margin distribution in ensemble learning.
Knowl. Based Syst., 2014

A heuristic approach to effective and efficient clustering on uncertain objects.
Knowl. Based Syst., 2014

Multi-granularity distance metric learning via neighborhood granule margin maximization.
Inf. Sci., 2014

A novel method for attribute reduction of covering decision systems.
Inf. Sci., 2014

Fuzzy rough regression with application to wind speed prediction.
Inf. Sci., 2014

An approach to facial expression analysis with multi-model interactions.
Int. J. Comput. Math., 2014

Feature selection for monotonic classification via maximizing monotonic dependency.
Int. J. Comput. Intell. Syst., 2014

Set-based granular computing: A lattice model.
Int. J. Approx. Reason., 2014

Feature selection with test cost constraint.
Int. J. Approx. Reason., 2014

Fuzzy Rough Decision Trees.
Fundam. Informaticae, 2014

Fuzzy information systems and their homomorphisms.
Fuzzy Sets Syst., 2014

A Sparse Outliers Iterative Removal Algorithm to Model the Background in the Video Sequences.
CoRR, 2014

Multi-label Feature Selection with Fuzzy Rough Sets.
Proceedings of the Rough Sets and Knowledge Technology - 9th International Conference, 2014

Multi-label Attribute Evaluation Based on Fuzzy Rough Sets.
Proceedings of the Rough Sets and Current Trends in Computing, 2014

What Can We Learn about Motion Videos from Still Images?
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Learning conditional random field with hierarchical representations for dialogue act recognition.
Proceedings of the INTERSPEECH 2014, 2014

Analysis of HEp-2 images using MD-LBP and MAD-bagging.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Classification of HEp-2 Cell Images Using Compact Multi-Scale Texture Information and Margin Distribution Based Bagging.
Proceedings of the Advanced Machine Learning Technologies and Applications, 2014

2013
Exploring Neighborhood Structures with Neighborhood Rough Sets in Classification Learning.
Proceedings of the Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam, 2013

Communication Between Information Systems Using Fuzzy Rough Sets.
IEEE Trans. Fuzzy Syst., 2013

Robust Object Tracking Via Active Feature Selection.
IEEE Trans. Circuits Syst. Video Technol., 2013

On rough approximations of groups.
Int. J. Mach. Learn. Cybern., 2013

Rule extraction from support vector machines based on consistent region covering reduction.
Knowl. Based Syst., 2013

Robust feature selection based on regularized brownboost loss.
Knowl. Based Syst., 2013

Adaptive neighborhood granularity selection and combination based on margin distribution optimization.
Inf. Sci., 2013

Dynamic classifier ensemble using classification confidence.
Neurocomputing, 2013

A Comparative Study of Ordered and Covering Information Systems.
Fundam. Informaticae, 2013

Exploring Margin for Dynamic Ensemble Selection.
Proceedings of the Rough Sets and Knowledge Technology - 8th International Conference, 2013

The effect of accent in recognizing dialog act in Chinese.
Proceedings of the 2013 International Conference Oriental COCOSDA held jointly with 2013 Conference on Asian Spoken Language Research and Evaluation (O-COCOSDA/CASLRE), 2013

2012
Rank Entropy-Based Decision Trees for Monotonic Classification.
IEEE Trans. Knowl. Data Eng., 2012

On Robust Fuzzy Rough Set Models.
IEEE Trans. Fuzzy Syst., 2012

Feature Selection for Monotonic Classification.
IEEE Trans. Fuzzy Syst., 2012

A Novel Algorithm for Finding Reducts With Fuzzy Rough Sets.
IEEE Trans. Fuzzy Syst., 2012

Large-margin feature selection for monotonic classification.
Knowl. Based Syst., 2012

Communication between information systems with covering based rough sets.
Inf. Sci., 2012

Margin distribution based bagging pruning.
Neurocomputing, 2012

Rough C-means and Fuzzy Rough C-means for Colour Quantisation.
Fundam. Informaticae, 2012

Soft Minimum-Enclosing-Ball Based Robust Fuzzy Rough Sets.
Fundam. Informaticae, 2012

Granular association rules on two universes with four measures
CoRR, 2012

An improved approach to attribute reduction with covering rough sets
CoRR, 2012

Fuzzy Rough Decision Trees.
Proceedings of the Rough Sets and Current Trends in Computing, 2012

Facial Expressions Analysis Based on Cooperative Neuro-computing Interactions.
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012

Fault diagnosis based on pruned ensemble.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2012

Granular association rules with four subtypes.
Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012

Multi-scale Patch Based Collaborative Representation for Face Recognition with Margin Distribution Optimization.
Proceedings of the Computer Vision - ECCV 2012, 2012

2011
Kernelized Fuzzy Rough Sets and Their Applications.
IEEE Trans. Knowl. Data Eng., 2011

Dynamic time warping constraint learning for large margin nearest neighbor classification.
Inf. Sci., 2011

Rule learning for classification based on neighborhood covering reduction.
Inf. Sci., 2011

Parameterized attribute reduction with Gaussian kernel based fuzzy rough sets.
Inf. Sci., 2011

Large-margin nearest neighbor classifiers via sample weight learning.
Neurocomputing, 2011

Neighborhood based sample and feature selection for SVM classification learning.
Neurocomputing, 2011

Fuzzy Mutual Information Based min-Redundancy and Max-Relevance Heterogeneous Feature Selection.
Int. J. Comput. Intell. Syst., 2011

Feature Selection in Decision Systems Based on Conditional Knowledge Granularity.
Int. J. Comput. Intell. Syst., 2011

Data compression with homomorphism in covering information systems.
Int. J. Approx. Reason., 2011

Kernelized Fuzzy Rough Sets Based Yawn Detection for Driver Fatigue Monitoring.
Fundam. Informaticae, 2011

Robust fuzzy rough classifiers.
Fuzzy Sets Syst., 2011

Measuring relevance between discrete and continuous features based on neighborhood mutual information.
Expert Syst. Appl., 2011

Driver Status Recognition by Neighborhood Covering Rules.
Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

Case-Based Classifiers with Fuzzy Rough Sets.
Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

A linear subspace learning approach via sparse coding.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Visual Object Recognition with Bagging of One Class Support Vector Machines.
Proceedings of the Second International Conference on Innovations in Bio-inspired Computing and Applications, 2011

2010
Selecting Discrete and Continuous Features Based on Neighborhood Decision Error Minimization.
IEEE Trans. Syst. Man Cybern. Part B, 2010

An efficient gene selection technique for cancer recognition based on neighborhood mutual information.
Int. J. Mach. Learn. Cybern., 2010

Fuzzy preference based rough sets.
Inf. Sci., 2010

Soft fuzzy rough sets for robust feature evaluation and selection.
Inf. Sci., 2010

Feature evaluation and selection based on neighborhood soft margin.
Neurocomputing, 2010

Gaussian kernel based fuzzy rough sets: Model, uncertainty measures and applications.
Int. J. Approx. Reason., 2010

Feature Selection via Maximizing Fuzzy Dependency.
Fundam. Informaticae, 2010

A novel measure for evaluating classifiers.
Expert Syst. Appl., 2010

Some invariant properties of ordered information systems under homomorphism.
Sci. China Inf. Sci., 2010

Information entropy for ordinal classification.
Sci. China Inf. Sci., 2010

A Robust Fuzzy Rough Set Model Based on Minimum Enclosing Ball.
Proceedings of the Rough Set and Knowledge Technology - 5th International Conference, 2010

Weighted Nearest Neighbor Classification via Maximizing Classification Consistency.
Proceedings of the Rough Sets and Current Trends in Computing, 2010

2009
Kernelized Fuzzy Rough Sets.
Proceedings of the Rough Sets and Knowledge Technology, 4th International Conference, 2009

Rough Image Colour Quantisation.
Proceedings of the Rough Sets, 2009

Feature Selection via Maximizing Neighborhood Soft Margin.
Proceedings of the Advances in Machine Learning, 2009

2008
Research on Rough Set Theory and Applications in China.
Trans. Rough Sets, 2008

Comments on "Fuzzy Probabilistic Approximation Spaces and Their Information Measures".
IEEE Trans. Fuzzy Syst., 2008

A comparative study on rough set based class imbalance learning.
Knowl. Based Syst., 2008

Mixed feature selection based on granulation and approximation.
Knowl. Based Syst., 2008

Communicating between information systems.
Inf. Sci., 2008

A weighted rough set based method developed for class imbalance learning.
Inf. Sci., 2008

Neighborhood rough set based heterogeneous feature subset selection.
Inf. Sci., 2008

Neighborhood classifiers.
Expert Syst. Appl., 2008

Stability Analysis on Rough Set Based Feature Evaluation.
Proceedings of the Rough Sets and Knowledge Technology, Third International Conference, 2008

Fuzzy Preference Relation Rough Sets.
Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008

Fuzzy Entropy based Max-Relevancy and Min-Redundancy Feature Selection.
Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008

2007
EROS: Ensemble rough subspaces.
Pattern Recognit., 2007

Hybrid attribute reduction based on a novel fuzzy-rough model and information granulation.
Pattern Recognit., 2007

A new approach to attribute reduction of consistent and inconsistent covering decision systems with covering rough sets.
Inf. Sci., 2007

Uncertainty measures for fuzzy relations and their applications.
Appl. Soft Comput., 2007

A Hybrid Method for Forecasting Stock Market Trend Using Soft-Thresholding De-noise Model and SVM.
Proceedings of the Rough Sets, 2007

Selecting Samples and Features for SVM Based on Neighborhood Model.
Proceedings of the Rough Sets, 2007

Weighted Rough Set Learning: Towards a Subjective Approach.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

Consistency Based Attribute Reduction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

2006
Fuzzy Probabilistic Approximation Spaces and Their Information Measures.
IEEE Trans. Fuzzy Syst., 2006

Information-preserving hybrid data reduction based on fuzzy-rough techniques.
Pattern Recognit. Lett., 2006

Analysis on Classification Performance of Rough Set Based Reducts.
Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006

Improved Feature Selection Algorithm Based on SVM and Correlation.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

2005
Hybrid Attribute Reduction for Classification Based on A Fuzzy Rough Set Technique.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

Constructing Rough Decision Forests.
Proceedings of the Rough Sets, 2005

Fuzzy Output Support Vector Machines for Classification.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

Diversity Measure for Multiple Classifier Systems.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005

An Improved Clustering Algorithm for Information Granulation.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005

2004
Entropies Of Fuzzy Indiscernibility Relation And Its Operations.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2004


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