2025
RADAP: A Robust and Adaptive Defense Against Diverse Adversarial Patches on face recognition.
Pattern Recognit., 2025
CS-QCFS: Bridging the performance gap in ultra-low latency spiking neural networks.
Neural Networks, 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
Downlink Resource Optimization in Multi-STAR-RIS-Assisted MIMO Networks.
IEEE Trans. Commun., December, 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
Explaining Model Overfitting in CNNs via GMM Clustering.
CoRR, 2024
Estimating the treatment effect over time under general interference through deep learner integrated TMLE.
CoRR, 2024
Integrating Dual Prototypes for Task-Wise Adaption in Pre-Trained Model-Based Class-Incremental Learning.
CoRR, 2024
Embedding Space Allocation with Angle-Norm Joint Classifiers for Few-Shot Class-Incremental Learning.
CoRR, 2024
Region-Guided Attack on the Segment Anything Model (SAM).
CoRR, 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.
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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.
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Proceedings of the 2019 USENIX Annual Technical Conference, 2019
Robust log-based anomaly detection on unstable log data.
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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
A self-organized growing network for on-line unsupervised learning.
Proceedings of the IEEE International Joint Conference on Neural Networks, 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