Furao Shen

Orcid: 0000-0002-7285-326X

Affiliations:
  • Nanjing University


According to our database1, Furao Shen authored at least 145 papers between 2004 and 2025.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
RADAP: A Robust and Adaptive Defense Against Diverse Adversarial Patches on face recognition.
Pattern Recognit., 2025

GMNI: Achieve good data augmentation in unsupervised graph contrastive learning.
Neural Networks, 2025

Incomplete label distribution learning via label correlation decomposition.
Inf. Fusion, 2025

2024
Joint Deployment and Resource Allocation for Service Provision in Multi-UAV-Assisted Wireless Networks.
IEEE Internet Things J., November, 2024

A survey of research on several problems in the RoboCup3D simulation environment.
Auton. Agents Multi Agent Syst., June, 2024

Investigating the effectiveness of data augmentation from similarity and diversity: An empirical study.
Pattern Recognit., April, 2024

Self-supervised learning of monocular 3D geometry understanding with two- and three-view geometric constraints.
Vis. Comput., February, 2024

Improving the transferability of adversarial examples with separable positive and negative disturbances.
Neural Comput. Appl., 2024

EAP: An effective black-box impersonation adversarial patch attack method on face recognition in the physical world.
Neurocomputing, 2024

Approximate attention with MLP: a pruning strategy for attention-based model in multivariate time series forecasting.
CoRR, 2024

A CLIP-Powered Framework for Robust and Generalizable Data Selection.
CoRR, 2024

AdaAugment: A Tuning-Free and Adaptive Approach to Enhance Data Augmentation.
CoRR, 2024

Multi-Scale Dilated Convolution Network for Long-Term Time Series Forecasting.
CoRR, 2024

Hybrid Directional Graph Neural Network for Molecules.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

EntAugment: Entropy-Driven Adaptive Data Augmentation Framework for Image Classification.
Proceedings of the Computer Vision - ECCV 2024, 2024

RoPDA: Robust Prompt-Based Data Augmentation for Low-Resource Named Entity Recognition.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
AdvMask: A sparse adversarial attack-based data augmentation method for image classification.
Pattern Recognit., December, 2023

Understanding neural network through neuron level visualization.
Neural Networks, November, 2023

Sensitivity pruner: Filter-Level compression algorithm for deep neural networks.
Pattern Recognit., August, 2023

Correction to: Real-time object tracking in the wild with Siamese network.
Multim. Tools Appl., July, 2023

Real-time object tracking in the wild with Siamese network.
Multim. Tools Appl., July, 2023

A self-organizing incremental neural network for imbalance learning.
Neural Comput. Appl., May, 2023

Deep ToA Mask-Based Recursive Radar Pulse Deinterleaving.
IEEE Trans. Aerosp. Electron. Syst., April, 2023

Hybrid optimization with unconstrained variables on partial point cloud registration.
Pattern Recognit., April, 2023

Switch and Refine: A Long-Term Tracking and Segmentation Framework.
IEEE Trans. Circuits Syst. Video Technol., March, 2023

Not All Data Matters: An End-to-End Adaptive Dataset Pruning Framework for Enhancing Model Performance and Efficiency.
CoRR, 2023

NeRFTAP: Enhancing Transferability of Adversarial Patches on Face Recognition using Neural Radiance Fields.
CoRR, 2023

A Simple Geometric-Aware Indoor Positioning Interpolation Algorithm Based on Manifold Learning.
CoRR, 2023

A Long-Tail Friendly Representation Framework for Artist and Music Similarity.
CoRR, 2023

GIMM: InfoMin-Max for Automated Graph Contrastive Learning.
CoRR, 2023

Attribute-Specific Manipulation Based on Layer-Wise Channels.
CoRR, 2023

Contrastive Open Set Recognition.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Energy-Efficient Resource Allocation for Secure D2D Communications Underlaying UAV-Enabled Networks.
IEEE Trans. Veh. Technol., 2022

An Evolutionary Orthogonal Component Analysis Method for Incremental Dimensionality Reduction.
IEEE Trans. Neural Networks Learn. Syst., 2022

A unified perspective of classification-based loss and distance-based loss for cross-view gait recognition.
Pattern Recognit., 2022

Dynamic Auxiliary Soft Labels for decoupled learning.
Neural Networks, 2022

IC neuron: An efficient unit to construct neural networks.
Neural Networks, 2022

C-Face: Using Compare Face on Face Hallucination for Low-Resolution Face Recognition.
J. Artif. Intell. Res., 2022

Label distribution learning through exploring nonnegative components.
Neurocomputing, 2022

AdvMask: A Sparse Adversarial Attack Based Data Augmentation Method for Image Classification.
CoRR, 2022

RSTAM: An Effective Black-Box Impersonation Attack on Face Recognition using a Mobile and Compact Printer.
CoRR, 2022

Review Neural Networks about Image Transformation Based on IGC Learning Framework with Annotated Information.
CoRR, 2022

RandomMix: A mixed sample data augmentation method with multiple mixed modes.
CoRR, 2022

Image Data Augmentation for Deep Learning: A Survey.
CoRR, 2022

AutoAdversary: A Pixel Pruning Method for Sparse Adversarial Attack.
CoRR, 2022

Deep Reinforcement Learning Assisted UAV Trajectory and Resource Optimization for NOMA Networks.
Proceedings of the 14th International Conference on Wireless Communications and Signal Processing, 2022

AugRmixAT: A Data Processing and Training Method for Improving Multiple Robustness and Generalization Performance.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

2021
Artificial Evolution Network: A Computational Perspective on the Expansibility of the Nervous System.
IEEE Trans. Neural Networks Learn. Syst., 2021

V-SOINN: A topology preserving visualization method for multidimensional data.
Neurocomputing, 2021

Inf-CP: A Reliable Channel Pruning based on Channel Influence.
CoRR, 2021

SASICM A Multi-Task Benchmark For Subtext Recognition.
CoRR, 2021

Faster and Simpler Siamese Network for Single Object Tracking.
CoRR, 2021

IC Networks: Remodeling the Basic Unit for Convolutional Neural Networks.
CoRR, 2021

The Ninth Visual Object Tracking VOT2021 Challenge Results.
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020
Throughput Maximization With Rate-Dependent Power Consumption in Battery-Limited Multiuser Networks.
IEEE Trans. Veh. Technol., 2020

Image Clustering via Deep Embedded Dimensionality Reduction and Probability-Based Triplet Loss.
IEEE Trans. Image Process., 2020

Operation-aware Neural Networks for user response prediction.
Neural Networks, 2020

IC Neuron: An Efficient Unit to Construct Neural Networks.
CoRR, 2020

Temporal Convolutional Attention-based Network For Sequence Modeling.
CoRR, 2020

A Real-Time Pedestrian Counting System Based on RGB-D.
Proceedings of the 12th International Conference on Advanced Computational Intelligence, 2020

2019
Perception Coordination Network: A Neuro Framework for Multimodal Concept Acquisition and Binding.
IEEE Trans. Neural Networks Learn. Syst., 2019

A density-based competitive data stream clustering network with self-adaptive distance metric.
Neural Networks, 2019

Locally linear SVMs based on boundary anchor points encoding.
Neural Networks, 2019

Inter-layer Collision Networks.
CoRR, 2019

Pairwise Interactive Graph Attention Network for Context-Aware Recommendation.
CoRR, 2019

Super Interaction Neural Network.
CoRR, 2019

Label Mapping Neural Networks with Response Consolidation for Class Incremental Learning.
CoRR, 2019

Operation-aware Neural Networks for User Response Prediction.
CoRR, 2019

Cross-dataset Time Series Anomaly Detection for Cloud Systems.
Proceedings of the 2019 USENIX Annual Technical Conference, 2019

Robust log-based anomaly detection on unstable log data.
Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019

Latent Semantics Encoding for Label Distribution Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
Perception Coordination Network: A Framework for Online Multi-Modal Concept Acquisition and Binding.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
An online incremental orthogonal component analysis method for dimensionality reduction.
Neural Networks, 2017

An Improved Ant-Driven Approach to Navigation and Map Building.
Proceedings of the Advances in Swarm Intelligence - 8th International Conference, 2017

Topology Learning Embedding: A Fast and Incremental Method for Manifold Learning.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Fuzzy Self-Organizing Incremental Neural Network for Fuzzy Clustering.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Time Series Forecasting Using GRU Neural Network with Multi-lag After Decomposition.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

A Self-adaptive Growing Method for Training Compact RBF Networks.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

An Incremental Deep Learning Network for On-line Unsupervised Feature Extraction.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Multi-Agent formation control with target tracking and navigation.
Proceedings of the IEEE International Conference on Information and Automation, 2017

2016
Perception Evolution Network Based on Cognition Deepening Model - Adapting to the Emergence of New Sensory Receptor.
IEEE Trans. Neural Networks Learn. Syst., 2016

A Self-Organizing Incremental Neural Network based on local distribution learning.
Neural Networks, 2016

Orthogonal component analysis: A fast dimensionality reduction algorithm.
Neurocomputing, 2016

Multi-goal Motion Planning of an Autonomous Robot in Unknown Environments by an Ant Colony Optimization Approach.
Proceedings of the Advances in Swarm Intelligence, 7th International Conference, 2016

Density Based Self Organizing Incremental Neural Network for data stream clustering.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Image segmentation based on Prototypes Extraction and Merging of clusters in multiple spaces.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A Shapelet Learning Method for Time Series Classification.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

A Fast Manifold Learning Algorithm for Dimensionality Reduction.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

A Swarm Intelligence Algorithm Inspired by Twitter.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

An Incremental One Class Learning Framework for Large Scale Data.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Boundary aware navigation and mapping for a mobile automaton.
Proceedings of the IEEE International Conference on Information and Automation, 2016

2015
Forecasting exchange rate using deep belief networks and conjugate gradient method.
Neurocomputing, 2015

An Incremental Local Distribution Network for Unsupervised Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Local Adaptive and Incremental Gaussian Mixture for Online Density Estimation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

An online incremental learning algorithm for time series.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

L<sup>3</sup>-SVM: a lifelong learning method for SVM.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Solving the data imbalance problem of P300 detection via Random Under-Sampling Bagging SVMs.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Improved Manifold Learning with competitive Hebbian rule.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Perception Evolution Network Adapting to the Emergence of New Sensory Receptor.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

An Incremental Network with Local Experts Ensemble.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Annealing-based guidance of a rescue robot for rescue mission with multi-goal navigation.
Proceedings of the IEEE International Conference on Information and Automation, 2015

Automatic segmentation of Chinese Mandarin speech into syllable-like.
Proceedings of the 2015 International Conference on Asian Language Processing, 2015

2014
Naturally inspired optimization algorithms as applied to mobile robotic path planning.
Proceedings of the 2014 IEEE Symposium on Swarm Intelligence, 2014

A model with Fuzzy Granulation and Deep Belief Networks for exchange rate forecasting.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Using self-organizing incremental neural network (SOINN) For radial basis function networks.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Hidden Markov models based dynamic hand gesture recognition with incremental learning method.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

An Extended Isomap for Manifold Topology Learning with SOINN Landmarks.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013
An online incremental learning support vector machine for large-scale data.
Neural Comput. Appl., 2013

A general associative memory based on self-organizing incremental neural network.
Neurocomputing, 2013

An incremental learning face recognition system for single sample per person.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

The effect of methods addressing the class imbalance problem on P300 detection.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

A perception evolution network for unsupervised fast incremental learning.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Speaker recognition based on SOINN and incremental learning Gaussian mixture model.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

A computational model of selecting visual attention based on bottom-up and top-down feature combination.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

A parallel computing platform for training large scale neural networks.
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2012
An incremental learning vector quantization algorithm for pattern classification.
Neural Comput. Appl., 2012

A Local Distribution Net for Data Clustering.
Proceedings of the PRICAI 2012: Trends in Artificial Intelligence, 2012

2011
An incremental online semi-supervised active learning algorithm based on self-organizing incremental neural network.
Neural Comput. Appl., 2011

Forecasting exchange rate with deep belief networks.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

TAKES: a fast method to select features in the kernel space.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010
An online incremental learning pattern-based reasoning system.
Neural Networks, 2010

An Online Incremental Semi-Supervised Learning Method.
J. Adv. Comput. Intell. Intell. Informatics, 2010

An associative memory system for incremental learning and temporal sequence.
Proceedings of the International Joint Conference on Neural Networks, 2010

A Multidirectional Associative Memory Based on Self-organizing Incremental Neural Network.
Proceedings of the Neural Information Processing. Models and Applications, 2010

An Online Incremental Learning Support Vector Machine for Large-scale Data.
Proceedings of the Artificial Neural Networks, 2010

How to Use the SOINN Software: User's Guide (Version 1.0).
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

Self-Organizing Incremental Neural Network and Its Application.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

Online Knowledge Acquisition and General Problem Solving in a Real World by Humanoid Robots.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

Non-I.I.D. Multi-Instance Dimensionality Reduction by Learning a Maximum Bag Margin Subspace.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
An Online Incremental Learning Vector Quantization.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

To obtain orthogonal feature extraction using training data selection.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008
A fast nearest neighbor classifier based on self-organizing incremental neural network.
Neural Networks, 2008

2007
An enhanced self-organizing incremental neural network for online unsupervised learning.
Neural Networks, 2007

An Incremental Neural Network for Online Supervised Learning and Topology Learning.
J. Adv. Comput. Intell. Intell. Informatics, 2007

An Online Semi-Supervised Clustering Algorithm Based on a Self-organizing Incremental Neural Network.
Proceedings of the International Joint Conference on Neural Networks, 2007

An Online Semi-supervised Active Learning Algorithm with Self-organiing Incremental Neural Network.
Proceedings of the International Joint Conference on Neural Networks, 2007

A Nearest-Neighbour Method with Self-organizing Incremental Neural Network.
Proceedings of the International Joint Conference on Neural Networks, 2007

2006
An adaptive incremental LBG for vector quantization.
Neural Networks, 2006

An incremental network for on-line unsupervised classification and topology learning.
Neural Networks, 2006

2005
Fractal Image Coding with Simulated Annealing Search.
J. Adv. Comput. Intell. Intell. Informatics, 2005

An On-Line Learning Mechanism for Unsupervised Classification and Topology Representation.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004
A fast no search fractal image coding method.
Signal Process. Image Commun., 2004

A Growing Neural Network for Online Unsupervised Learning.
J. Adv. Comput. Intell. Intell. Informatics, 2004

An Incremental Neural Network for Non-stationary Unsupervised Learning.
Proceedings of the Neural Information Processing, 11th International Conference, 2004

An effective fractal image coding method without search.
Proceedings of the 2004 International Conference on Image Processing, 2004


  Loading...