IEEE Transactions on Neural Networks and Learning Systems

Papers
(The TQCC of IEEE Transactions on Neural Networks and Learning Systems is 24. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-01-01 to 2026-01-01.)
ArticleCitations
IEEE Transactions on Neural Networks and Learning Systems Information for Authors3555
Table of Contents1749
IEEE Computational Intelligence Society Information833
End-to-End Streaming Video Temporal Action Segmentation With Reinforcement Learning701
On the Size and Width of the Decoder of a Boolean Threshold Autoencoder574
Single-Frame-Based Deep View Synchronization for Unsynchronized Multicamera Surveillance534
Altruistic Collaborative Learning482
Deep-Growing Neural Network With Manifold Constraints for Hyperspectral Image Classification417
Local Causal Discovery in Multiple Manipulated Datasets377
Semantic Consistency Reasoning for 3-D Object Detection in Point Clouds363
Visual Reinforcement Learning Control With Instance-Reweighted Alignment and Instance-Dimension Uniformity336
Protecting Deep Learning Model Copyrights With Adversarial Example-Free Reuse Detection321
Discovering Spatiotemporal–Individual Coupled Features From Nonstandard Tensors—A Novel Dynamic Graph Mixer Approach312
Stochastically Controlled Compositional Gradient for Composition Problems302
A Novel Formulation of Trace Ratio Linear Discriminant Analysis275
Automated Anomaly Detection via Curiosity-Guided Search and Self-Imitation Learning262
Underexposed Image Correction via Hybrid Priors Navigated Deep Propagation261
A Distributed Proximal Consensus Algorithm for Energy Saving in Ethylene Production260
Consensus of Stochastic Dynamical Multiagent Systems in Directed Networks via PI Protocols259
PGFormer: A Prototype-Graph Transformer for Incomplete Multiview Clustering248
Open Set Domain Adaptation via Joint Alignment and Category Separation246
A Weighted Heterogeneous Graph-Based Dialog System243
MUSIC: Accelerated Convergence for Distributed Optimization With Inexact and Exact Methods235
IEEE Computational Intelligence Society235
Task-Oriented Robot Cognitive Manipulation Planning Using Affordance Segmentation and Logic Reasoning225
DigNet: Digging Clues From Local–Global Interactive Graph for Aspect-Level Sentiment Classification219
Theoretical Advances on Stochastic Configuration Networks210
Constructing Accurate and Efficient Deep Spiking Neural Networks With Double-Threshold and Augmented Schemes209
Spectral Embedding Representation Based on Random Anchor Graph Aggregation209
Scalable Inverse Reinforcement Learning Through Multifidelity Bayesian Optimization206
Hierarchical Deep Reinforcement Learning-Based Propofol Infusion Assistant Framework in Anesthesia202
Analytical Bounds on the Local Lipschitz Constants of ReLU Networks201
Achieving Sharp Upper Bounds on the Expressive Power of Neural Networks via Tropical Polynomials199
Robust Symbol Detection Based on Quaternion Neural Networks in Wireless Polarization-Shift-Keying Communications194
Learning Sequential Variation Information for Dynamic Facial Expression Recognition194
DenseKD: Dense Knowledge Distillation by Exploiting Region and Sample Importance193
Interpretable Model-Driven Deep Network for Hyperspectral, Multispectral, and Panchromatic Image Fusion191
ResDNet: Efficient Dense Multi-Scale Representations With Residual Learning for High-Level Vision Tasks190
SCMix: Stochastic Compound Mixing for Open Compound Domain Adaptation in Semantic Segmentation188
Improving Pretrained Language Model Fine-Tuning With Noise Stability Regularization185
Convolution Filter Compression via Sparse Linear Combinations of Quantized Basis185
Efficient Approximations for Matrix-Based Rényi’s Entropy on Sequential Data184
Efficient Linear Discriminant Analysis Based on Randomized Low-Rank Approaches183
Power Law in Deep Neural Networks: Sparse Network Generation and Continual Learning With Preferential Attachment183
Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning182
Rethinking Pretraining as a Bridge From ANNs to SNNs179
A Study on Truncated Newton Methods for Linear Classification177
LMFE: Learning-Based Multiscale Feature Engineering in Partial Discharge Detection177
Agglomerative Neural Networks for Multiview Clustering175
Conservative Novelty Synthesizing Network for Malware Recognition in an Open-Set Scenario172
Depthwise Convolution for Multi-Agent Communication With Enhanced Mean-Field Approximation172
Attention-Based Real Image Restoration168
Evolving Memristive Reservoir166
Butterfly Residual Network: A Hybrid Approach With Spectral Transformers and Depth-Wise Convolutions for Hyperspectral Image Super-Resolution160
Colorization-Inspired Customized Low-Light Image Enhancement by a Decoupled Network159
Heterogeneous Multidomain Recommender System Through Adversarial Learning158
Population Historical Information-Driven Evolutionary Multitask Neural Architecture Search158
Local Anomaly Detection for Multivariate Time Series by Temporal Dependency Based on Poisson Model157
A Novel Generator With Auxiliary Branch for Improving GAN Performance155
From Cluster Assumption to Graph Convolution: Graph-Based Semi-Supervised Learning Revisited155
MGEL: Multigrained Representation Analysis and Ensemble Learning for Text Moderation155
Adaptive Neural Coordinated Control for Multiple Euler-Lagrange Systems With Periodic Event-Triggered Sampling153
Deep Learning and Symbolic Regression for Discovering Parametric Equations152
Multistability of Almost Periodic Solutions for Fuzzy Competitive NNs With Time-Varying Delays152
Wormhole Dynamics in Deep Neural Networks151
Soft Sensing for Time Series With Irregular Sampling Internals Based on a Denoising Interval Attention LSTM Network151
Chain-Structure Echo State Network With Stochastic Optimization: Methodology and Application148
Projective Synchronization for Uncertain Fractional Reaction-Diffusion Systems via Adaptive Sliding Mode Control Based on Finite-Time Scheme148
Improved Stability Criteria for Delayed Neural Networks Using a Quadratic Function Negative-Definiteness Approach148
D2Vformer: A Flexible Time-Series Prediction Model Based on Time-Position Embedding148
Exploring Dynamic Transformer for Efficient Object Tracking146
Three-Stage Semisupervised Cross-Modal Hashing With Pairwise Relations Exploitation146
Simulation-Aided Handover Prediction From Video Using Recurrent Image-to-Motion Networks142
AEVAE: Adaptive Evolutionary Autoencoder for Anomaly Detection in Time Series142
Hierarchical Graph Convolutional Network Built by Multiscale Atlases for Brain Disorder Diagnosis Using Functional Connectivity141
Recurrent Neural Dynamics Models for Perturbed Nonstationary Quadratic Programs: A Control-Theoretical Perspective140
Neural Adaptive Intermittent Output Feedback Control for Autonomous Underwater Vehicles With Full-State Quantitative Designs140
Interest HD: An Interest Frame Model for Recommendation Based on HD Image Generation139
Neuro-Optimal Event-Triggered Impulsive Control for Stochastic Systems via ADP139
Learning Aligned Vertex Convolutional Networks for Graph Classification139
BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance138
LFT: Neural Ordinary Differential Equations With Learnable Final-Time137
Adaptive Event-Triggered Bipartite Formation for Multiagent Systems via Reinforcement Learning136
A Novel Data Augmentation Method Based on CoralGAN for Prediction of Part Surface Roughness134
Cross-Modal Remote Sensing Image–Text Retrieval via Context and Uncertainty-Aware Prompt134
Learning Single Spectral Abundance for Hyperspectral Subpixel Target Detection133
A Shadow Imaging Bilinear Model and Three-Branch Residual Network for Shadow Removal132
Proportional–Integral Observer-Based State Estimation for Singularly Perturbed Complex Networks With Cyberattacks132
Simple and Effective: Spatial Rescaling for Person Reidentification131
H Bipartite Synchronization of Double-Layer Markov Switched Cooperation-Competition Neural Networks: A Distributed Dynamic Event-Triggered Mechanism130
Status-Aware Signed Heterogeneous Network Embedding With Graph Neural Networks130
Backdoor Attacks and Countermeasures in Natural Language Processing Models: A Comprehensive Security Review129
SinKD: Sinkhorn Distance Minimization for Knowledge Distillation129
Manifold Interpolation for Large-Scale Multiobjective Optimization via Generative Adversarial Networks128
Penalizing the Hard Example But Not Too Much: A Strong Baseline for Fine-Grained Visual Classification128
A Hybrid CMOS-Memristor Spiking Neural Network Supporting Multiple Learning Rules128
Spatiotemporal Transformation-Based Neural Network With Interpretable Structure for Modeling Distributed Parameter Systems127
Modified RNN for Solving Comprehensive Sylvester Equation With TDOA Application126
Context-Aware Learning and Pattern Decomposition for Temporal Knowledge Graph Reasoning126
Subspace Clustering via Structured Sparse Relation Representation126
Transfer Learning-Motivated Intelligent Fault Diagnosis Designs: A Survey, Insights, and Perspectives124
Adaptive Weighted Ranking-Oriented Label Distribution Learning124
Self-Constructing Fuzzy Neural Fractional-Order Sliding Mode Control of Active Power Filter121
Deep Learning for Visual Localization and Mapping: A Survey121
Graph-Based Unsupervised Feature Selection for Interval-Valued Information System120
Federated Generalized Face Presentation Attack Detection120
Effective Streaming Low-Tubal-Rank Tensor Approximation via Frequent Directions119
2-D Transformer: Extending Large Language Models to Long-Context With Few Memory119
Empowering the Diversity and Individuality of Option: Residual Soft Option Critic Framework119
Point-DAE: Denoising Autoencoders for Self-Supervised Point Cloud Learning119
Variable Gain Impulsive Synchronization for Discrete-Time Delayed Neural Networks and Its Application in Digital Secure Communication118
Granular Ball Sampling for Noisy Label Classification or Imbalanced Classification117
Integrating Clinical Knowledge Graphs and Gradient-Based Neural Systems for Enhanced Melanoma Diagnosis via the Seven-Point Checklist116
Inverse Reinforcement Learning for Adversarial Apprentice Games115
Tensorizing GAN With High-Order Pooling for Alzheimer’s Disease Assessment114
A Dini-Derivative-Aided Zeroing Neural Network for Time-Variant Quadratic Programming Involving Multi-Type Constraints With Robotic Applications113
Koopman-Based MPC With Learned Dynamics: Hierarchical Neural Network Approach113
Parameterized Luenberger-TypeHState Estimator for Delayed Static Neural Networks113
Unsupervised Skill Discovery Through Skill Regions Differentiation112
Designing Efficient Bit-Level Sparsity-Tolerant Memristive Networks111
Learning Unified Anchor Graph for Joint Clustering of Hyperspectral and LiDAR Data111
Neural Network Output-Feedback Consensus Fault-Tolerant Control for Nonlinear Multiagent Systems With Intermittent Actuator Faults111
Robust and Sparse Principal Component Analysis With Adaptive Loss Minimization for Feature Selection110
Source-Free Active Domain Adaptation via Augmentation-Based Sample Query and Progressive Model Adaptation110
Deep Reinforcement Learning for Cyber Security109
Domain Adaptation via Prompt Learning109
Representation-Learning-Based CNN for Intelligent Attack Localization and Recovery of Cyber-Physical Power Systems109
Event-Triggered Synchronization of Multiple Fractional-Order Recurrent Neural Networks With Time-Varying Delays108
DualGCN: Exploring Syntactic and Semantic Information for Aspect-Based Sentiment Analysis108
An Efficient Graph Learning System for Emotion Recognition Inspired by the Cognitive Prior Graph of EEG Brain Network108
Efficient Spiking Neural Networks With Radix Encoding108
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS Publication Information107
Multiview Classification Through Learning From Interval-Valued Data107
TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks107
IEEE Transactions on Neural Networks and Learning Systems Publication Information105
IEEE Transactions on Neural Networks and Learning Systems Publication Information105
Optimizing for In-Memory Deep Learning With Emerging Memory Technology105
Progressively Learning to Reach Remote Goals by Continuously Updating Boundary Goals104
Exponential Asynchronous Stabilization for Delayed Semi-Markovian Neural Networks via DAEIC104
IEEE Transactions on Neural Networks and Learning Systems Information for Authors103
Similarity-Agnostic Contrastive Learning With Alterable Self-Supervision103
Robust PID-Type Iterative Learning Control for Nonlinear Square and Nonsquare Systems103
Sparse Count Data Clustering Using an Exponential Approximation to Generalized Dirichlet Multinomial Distributions102
An Interpretable Neural Control Network With Adaptable Online Learning for Sample Efficient Robot Locomotion Learning102
Self-Supervised Deep Multiview Spectral Clustering102
A Novel Fusion and Feature Selection Framework for Multisource Time-Series Data Based on Information Entropy101
Reinforcement Learning From Hierarchical Critics100
Multiple Guidance Network for Industrial Product Surface Inspection With One Labeled Target Sample100
Privacy-Aware Data Acquisition Under Data Similarity in Regression Markets100
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS Publication Information100
Regularization Effect of Random Node Fault/Noise on Gradient Descent Learning Algorithm100
Dual Parallel Policy Iteration With Coupled Policy Improvement100
Cardinality Constrained Portfolio Optimization via Alternating Direction Method of Multipliers99
An Explainable and Generalizable Recurrent Neural Network Approach for Differentiating Human Brain States on EEG Dataset99
Bayesian-Learning-Based Diffusion Least Mean Square Algorithms Over Networks99
Generalized Subspace Coupling Approach for Robust Low-Tubal-Rank Tensor Completion99
Learning Multi-Agent Cooperation via Considering Actions of Teammates98
GMM Enhanced Anchor-Based Spectral Clustering for Large-Scale Data97
State Estimation for Discrete Time-Delayed Impulsive Neural Networks Under Communication Constraints: A Delay-Range-Dependent Approach97
Accelerated Learning Control for Point-to-Point Tracking Systems97
Causal Optimal Transport for Treatment Effect Estimation97
On the Sufficient Condition for Solving the Gap-Filling Problem Using Deep Convolutional Neural Networks97
Convolutional Neural Networks for Spherical Signal Processing via Area-Regular Spherical Haar Tight Framelets96
Modularizing Deep Learning via Pairwise Learning With Kernels96
Semi-Supervised Breast Lesion Segmentation Using Confidence-Ranked Features and Bi-Level Prototypes96
A Unified Framework Based on Graph Consensus Term for Multiview Learning96
HomLLM: Exploiting Semantic Homology Relationship for Fine-Grained Bird Image Classification via Large Language Models96
Explicit Margin Equilibrium for Few-Shot Object Detection96
Long-Term Tracking of Evasive Urban Target Based on Intention Inference and Deep Reinforcement Learning96
SNN-FT: Temporal-Coded Spiking Neural Networks for Fourier Transform95
A Theoretical Insight Into the Effect of Loss Function for Deep Semantic-Preserving Learning95
Retrieval-Augmented Few-Shot Medical Image Segmentation With Foundation Models95
Keep and Select: Improving Hierarchical Context Modeling for Multi-Turn Response Generation95
SIN: Semantic Inference Network for Few-Shot Streaming Label Learning95
Table of Contents94
Fuzzy Logic-Enhanced Neuroadaptive Fault-Tolerant Control for Vehicular Platoons With Stochastic Disturbances and Asymmetric Spacing Constraints94
An Inexact Sequential Quadratic Programming Method for Learning and Control of Recurrent Neural Networks94
Massive Ultrasonic Data Compression Using Wavelet Packet Transformation Optimized by Convolutional Autoencoders94
Cooperative Deep Q-Learning Framework for Environments Providing Image Feedback94
Scale-Aware Super-Resolution Network With Dual Affinity Learning for Lesion Segmentation From Medical Images94
Complete Stability of Delayed Recurrent Neural Networks With New Wave-Type Activation Functions93
Fully Complex-Valued Dendritic Neuron Model93
TRG-Net: An Interpretable and Controllable Rain Generator93
Exponentially Synchronous Results for Delayed Neural Networks With Leakage Delay via Switched Delay Idea and AED-ADT Method93
Data-Driven Internal Model Learning Control for Nonlinear Systems93
Clinical Prompt Learning With Frozen Language Models93
DMESH: A Structure-Preserving Diffusion Model for 3-D Mesh Denoising93
Combining Optimal Path Search With Task-Dependent Learning in a Neural Network92
Formulating and Representing Multiagent Systems With Hypergraphs92
Exponential Stability of Impulsive Timescale-Type Nonautonomous Neural Networks With Discrete Time-Varying and Infinite Distributed Delays91
Token-Bucket-Protocol-Based Recursive Remote State Estimation for Complex Networks Under Amplify-and-Forward Relays91
An Online Active Broad Learning Approach for Real-Time Safety Assessment of Dynamic Systems in Nonstationary Environments91
Anti-Confounding Hashing: Enhancing Radiological Image Retrieval via Debiased Weighting and Counterfactual Reasoning91
Two-Time Scale Tracking Control of Flexible Robots With Primal-Dual Inverse Reinforcement Learning89
Smart Machine Vision for Universal Spatial-Mode Reconstruction89
PicassoNet: Searching Adaptive Architecture for Efficient Facial Landmark Localization89
Inducing Neural Collapse via Anticlasses and One-Cold Cross-Entropy Loss89
One-Step Multiview Clustering via Adaptive Graph Learning and Spectral Rotation88
Discrete-Time Signatures and Randomness in Reservoir Computing88
Uncertainty-Aware Aggregation for Federated Open Set Domain Adaptation88
Targeted Collapse Regularized Autoencoder for Anomaly Detection: Black Hole at the Center88
A Cross-Client Coordinator in Federated Learning Framework for Conquering Heterogeneity88
Bidirectional Probabilistic Subspaces Approximation for Multiview Clustering87
Interactive Prognosis Framework Between Deep Learning and a Stochastic Process Model for Remaining Useful Life Prediction87
Unsupervised Deep Tensor Network for Hyperspectral–Multispectral Image Fusion87
Finite-Time Passivity for Coupled Fractional-Order Neural Networks With Multistate or Multiderivative Couplings86
Further Results on Optimal Tracking Control for Nonlinear Systems With Nonzero Equilibrium via Adaptive Dynamic Programming86
PPGF: Probability Pattern-Guided Time Series Forecasting86
GBRS: A Unified Granular-Ball Learning Model of Pawlak Rough Set and Neighborhood Rough Set86
Self-Supervised Random Forest on Transformed Distribution for Anomaly Detection86
Security and Safety-Critical Learning-Based Collaborative Control for Multiagent Systems86
SAM-Med3D: A Vision Foundation Model for General-Purpose Segmentation on Volumetric Medical Images85
Discriminative Regression With Adaptive Graph Diffusion85
Cosine 2DPCA With Weighted Projection Maximization85
Exponential Synchronization of Coupled Inertial Neural Networks With Hybrid Delays and Stochastic Impulses85
Hierarchical Regression and Classification for Accurate Object Detection85
Circuit Implementation and Quasi-Stabilization of Delayed Inertial Memristor-Based Neural Networks85
Progressive Spatial Information-Guided Deep Aggregation Convolutional Network for Hyperspectral Spectral Super-Resolution84
Biphasic Face Photo-Sketch Synthesis via Semantic-Driven Generative Adversarial Network With Graph Representation Learning84
Skeleton-Based Human Motion Prediction With Privileged Supervision84
Deep Adversarial Inconsistent Cognitive Sampling for Multiview Progressive Subspace Clustering84
Memory-Efficient Class-Incremental Learning for Image Classification84
Reverse Graph Learning for Graph Neural Network83
Clustering Interval and Triangular Granular Data: Modeling, Execution, and Assessment83
Hierarchical Self-Attention Network for Industrial Data Series Modeling With Different Sampling Rates Between the Input and Output Sequences83
Learning Cross-Attention Discriminators via Alternating Time–Space Transformers for Visual Tracking83
Safety-Critical Containment Maneuvering of Underactuated Autonomous Surface Vehicles Based on Neurodynamic Optimization With Control Barrier Functions82
Wavelet Transformer: An Effective Method on Multiple Periodic Decomposition for Time Series Forecasting82
Optimal Control for Constrained Discrete-Time Nonlinear Systems Based on Safe Reinforcement Learning82
A New Looped Functional to Synchronize Neural Networks With Sampled-Data Control82
Multiagent Soft Actor-Critic Based Hybrid Motion Planner for Mobile Robots82
Temporal Encoding and Multispike Learning Framework for Efficient Recognition of Visual Patterns82
Random Orthogonal Additive Filters: A Solution to the Vanishing/Exploding Gradient of Deep Neural Networks81
A Novel k-Means Framework via Constrained Relaxation and Spectral Rotation81
The Optimization of Control Parameters: Finite-Time Bipartite Synchronization of Memristive Neural Networks With Multiple Time Delays via Saturation Function81
Spatiotemporal Decouple-and-Squeeze Contrastive Learning for Semisupervised Skeleton-Based Action Recognition80
Dual-Channel Adaptive Scale Hypergraph Encoders With Cross-View Contrastive Learning for Knowledge Tracing79
CycleTrans: Learning Neutral Yet Discriminative Features via Cycle Construction for Visible- Infrared Person Re-Identification79
Resilient Model Free Adaptive Distributed LFC for Multi-Area Power Systems Against Jamming Attacks79
Flying Through a Narrow Gap Using End-to-End Deep Reinforcement Learning Augmented With Curriculum Learning and Sim2Real79
Multi-H∞ Controls for Unknown Input-Interference Nonlinear System With Reinforcement Learning78
IronForge: An Open, Secure, Fair, Decentralized Federated Learning78
Bicriteria Sparse Nonnegative Matrix Factorization via Two-Timescale Duplex Neurodynamic Optimization78
Event-Triggered Communication Network With Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning78
Gait Quality Aware Network: Toward the Interpretability of Silhouette-Based Gait Recognition78
Neuroadaptive Control With Enhanced Stability and Reliability78
Safe Adaptive Policy Transfer Reinforcement Learning for Distributed Multiagent Control78
An Improved Non-Negative Latent Factor Model for Missing Data Estimation via Extragradient-Based Alternating Direction Method77
Observer-Based NN Control for Nonlinear Systems With Full-State Constraints and External Disturbances77
A Node-Collaboration-Informed Graph Convolutional Network for Highly Accurate Representation to Undirected Weighted Graph77
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