IEEE Transactions on Neural Networks and Learning Systems

Article	Citations
IEEE Transactions on Neural Networks and Learning Systems Publication Information	2237
Table of Contents	1287
Table of Contents	1086
IEEE Computational Intelligence Society Information	756
Table of Contents	636
Uncertainty-Guided Discriminative Priors Mining for Flexible Unsupervised Spectral Reconstruction	547
FairXAI -A Taxonomy and Framework for Fairness and Explainability Synergy in Machine Learning	503
Compressing Transfer: Mutual Learning-Empowered Knowledge Distillation for Temporal Knowledge Graph Reasoning	451
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS Publication Information	439
Label Informed Contrastive Pretraining for Node Importance Estimation on Knowledge Graphs	415
IEEE Computational Intelligence Society Information	380
Backdoor Attacks and Countermeasures in Natural Language Processing Models: A Comprehensive Security Review	363
Harmonic Fast One-Step Cut: An Efficient Strategy for Spectral Clustering Optimization	284
DNRHP: Temporal Network Representation Learning via Hawkes Point Process	276
Learning Decision Boundaries for Multidimensional Anomaly Detection	235
Meta Learning Task Representation in Multiagent Reinforcement Learning: From Global Inference to Local Inference	229
COPSRO: An Offline Empirical Game Theoretic Method With Conservative Critic	225
Orthogonal Capsule Networks With Positional Information Preservation and Lightweight Feature Learning	211
IEEE Transactions on Neural Networks and Learning Systems Publication Information	210
Feature Correlation-Guided Knowledge Transfer for Federated Self-Supervised Learning	209
Closed-Form Gaussian Spread Estimation for Small and Large Support Vector Classification	205
Adaptive Critic Learning-Based Optimal Bipartite Consensus for Multiagent Systems With Prescribed Performance	201
CSTS: Exploring Class-Specific and Task-Shared Embedding Representation for Few-Shot Learning	201
CPST-GAN: Conditional Probabilistic State Transition Generative Adversarial Network With the Biomedical Large Foundation Models	200
Smooth-Guided Implicit Data Augmentation for Domain Generalization	199

On Model of Recurrent Neural Network on a Time Scale: Exponential Convergence and Stability Research	195
Rethinking 3-D LiDAR Point Cloud Segmentation	195
Use of Parallel Explanatory Models to Enhance Transparency of Neural Network Configurations for Cell Degradation Detection	194
Attention-Based Real Image Restoration	194
Intrinsic Consistency Preservation With Adaptively Reliable Samples for Source-Free Domain Adaptation	193
Finite-Time Boundedness of Impulsive Delayed Reaction–Diffusion Stochastic Neural Networks	181
A Novel Generator With Auxiliary Branch for Improving GAN Performance	179
MUSIC: Accelerated Convergence for Distributed Optimization With Inexact and Exact Methods	179
Few-Shot Face Stylization via GAN Prior Distillation	173
Playing the Lottery With Concave Regularizers for Sparse Trainable Neural Networks	168
HCL: A Hierarchical Contrastive Learning Framework for Zero-Shot Relation Extraction	166
SAB Net: A Semantic Attention Boosting Framework for Semantic Segmentation	158
Adaptive Neural Consensus Observer Networks Design for a Class of Semilinear Parabolic PDE Systems	158
DER-GCN: Dialog and Event Relation-Aware Graph Convolutional Neural Network for Multimodal Dialog Emotion Recognition	157
GSSTU: Generative Spatial Self-Attention Transformer Unit for Enhanced Video Prediction	156
Gradient Matching Federated Domain Adaptation for Brain Image Classification	155
Automatic Sparse Connectivity Learning for Neural Networks	153
Neuromorphic Context-Dependent Learning Framework With Fault-Tolerant Spike Routing	152
Predicting miRNA–Disease Associations Through Deep Autoencoder With Multiple Kernel Learning	150
Adaptive Neural Control of Constrained MIMO Nonlinear Systems With Asymmetric Input Saturation and Dead Zone	149
Hybrid Reinforcement Learning for Optimal Control of Non-Linear Switching System	149
Reinforcement Learning Based Optimal Tracking Control Under Unmeasurable Disturbances With Application to HVAC Systems	146
Hierarchical Organ-Aware Total-Body Standard-Dose PET Reconstruction From Low-Dose PET and CT Images	145
Cycle-Refined Multidecision Joint Alignment Network for Unsupervised Domain Adaptive Hyperspectral Change Detection	145
Diffusion Source Inference for Large-Scale Complex Networks Based on Network Percolation	144
Table of Contents	140
TryonCM2: Try-on-Enhanced Fashion Compatibility Modeling Framework	140
IEEE Computational Intelligence Society Information	140
Fully Parallel Stochastic Computing Hardware Implementation of Convolutional Neural Networks for Edge Computing Applications	140
IEEE Computational Intelligence Society Information	138
Structured Doubly Stochastic Graph-Based Clustering	135
IEEE Transactions on Neural Networks and Learning Systems Information for Authors	135
Deep Energy-Based Discrete-Time Physical Model for Reproducing Energetic Behavior	134
Low Latency Conversion of Artificial Neural Network Models to Rate-Encoded Spiking Neural Networks	133
DenseKD: Dense Knowledge Distillation by Exploiting Region and Sample Importance	133
Guest Editorial: Special Issue on Deep Learning for Intelligent Media Computing and Applications	133
Adaptive Multistep Prediction With Sequence-to-Sequence (Seq2Seq) Models	131
Differential Evolution Algorithm for Fast Gains Learning in a High-Gain Controller	131
Cross-Cloud Consistency for Weakly Supervised Point Cloud Semantic Segmentation	131
IEEE Transactions on Neural Networks and Learning Systems Information for Authors	130
eVAE: Evolutionary Variational Autoencoder	130
IEEE Computational Intelligence Society Information	130
IEEE Computational Intelligence Society Information	129
IEEE Computational Intelligence Society Information	129
Table of Contents	128
A Trustable Data-Driven Optimal Power Flow Computational Method With Robust Generalization Ability	128
Denoising Multiscale Spectral Graph Wavelet Neural Networks for Gas Utilization Ratio Prediction in Blast Furnace	127
Efficient Communication via Self-Supervised Information Aggregation for Online and Offline Multiagent Reinforcement Learning	127
Wake-Sleep Consolidated Learning	126
Convolution Filter Compression via Sparse Linear Combinations of Quantized Basis	126

IEEE Computational Intelligence Society Information	124
IEEE Transactions on Neural Networks and Learning Systems Publication Information	124
2021 Index IEEE Transactions on Neural Networks and Learning Systems Vol. 32	122
IEEE Computational Intelligence Society Information	121
Table of contents	121
IEEE Computational Intelligence Society Information	121
IEEE Transactions on Neural Networks and Learning Systems Publication Information	120
IEEE Computational Intelligence Society Information	118
Table of Contents	117
Exploring Multiconnectivity and Subdivision Functions of Brain Network via Heterogeneous Graph Network for Cognitive Disorder Identification	116
IEEE Computational Intelligence Society Information	115
Multistability of Almost Periodic Solutions for Fuzzy Competitive NNs With Time-Varying Delays	115
Relaxed Stability Criteria for Delayed Memristor-Based Neural Network Systems via a Novel Matrix-Separation Legendre Inequality	115
2023 Index IEEE Transactions on Neural Networks and Learning Systems Vol. 34	115
IEEE Transactions on Neural Networks and Learning Systems Publication Information	114
Conservative Novelty Synthesizing Network for Malware Recognition in an Open-Set Scenario	112
IWDA: Importance Weighting for Drift Adaptation in Streaming Supervised Learning Problems	112
Positive Consensus of Fractional-Order Multiagent Systems Over Directed Graphs	111
SDN: Semantic Decoupling Network for Temporal Language Grounding	111
Time-/Event-Triggered Adaptive Neural Asymptotic Tracking Control of Nonlinear Interconnected Systems With Unmodeled Dynamics and Prescribed Performance	110
Slimming Neural Networks Using Adaptive Connectivity Scores	110
BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance	109
Robust and Sparse Principal Component Analysis With Adaptive Loss Minimization for Feature Selection	109
End-to-End Hierarchical Reinforcement Learning With Integrated Subgoal Discovery	109
Hierarchical AttentionShift for Pointly Supervised Instance Segmentation	108
Exploring Attention and Self-Supervised Learning Mechanism for Graph Similarity Learning	107
Weird-Net: Weighted Relative Distance Attention for Efficient and Robust Sequence Processing	107
Resisting Noise in Pseudo Labels: Audible Video Event Parsing With Evidential Learning	105
On the Optimal Expressive Power of ReLU DNNs and Its Application in Approximation With the Kolmogorov Superposition Theorem	105
Deep Reinforcement Learning for Load Shedding Against Short-Term Voltage Instability in Large Power Systems	105
Deep Radiomic Analysis for Predicting Coronavirus Disease 2019 in Computerized Tomography and X-Ray Images	104
Local Learning Enabled Iterative Linear Quadratic Regulator for Constrained Trajectory Planning	103
Rethinking Appearance-Based Deep Gait Recognition: Reviews, Analysis, and Insights From Gait Recognition Evolution	103
Consensus of Stochastic Dynamical Multiagent Systems in Directed Networks via PI Protocols	103
Neuroadaptive Fault-Tolerant Control With Guaranteed Performance for Euler–Lagrange Systems Under Dying Power Faults	102
Optimizing Graph Neural Network With Multiaspect Hilbert–Schmidt Independence Criterion	102
Chain-Structure Echo State Network With Stochastic Optimization: Methodology and Application	102
Anchor Association Learning for Unsupervised Video Person Re-Identification	101
Unsupervised Estimation of Monocular Depth and VO in Dynamic Environments via Hybrid Masks	100
Local Anomaly Detection for Multivariate Time Series by Temporal Dependency Based on Poisson Model	100
On the Comparisons of Decorrelation Approaches for Non-Gaussian Neutral Vector Variables	100
Automated Anomaly Detection via Curiosity-Guided Search and Self-Imitation Learning	100
Causal Feature Selection With Dual Correction	99
LR Aerial Photo Categorization by Cross-Resolution Perceptual Knowledge Propagation	98
A Hybrid CMOS-Memristive Approach to Designing Deep Generative Models	98
When to Switch: Planning and Learning for Partially Observable Multi-Agent Pathfinding	98
Neuroadaptive Fault-Tolerant Control Under Multiple Objective Constraints With Applications to Tire Production Systems	98
Efficient Online Globalized Dual Heuristic Programming With an Associated Dual Network	96
Convergence and Stability of Optimal Regulation via Generalized N-Step Value Gradient Learning	96
Meta Learning With Graph Attention Networks for Low-Data Drug Discovery	96
A Multiplier Bootstrap Approach to Designing Robust Algorithms for Contextual Bandits	95
Reconstruction of Adaptive Leaky Integrate-and-Fire Neuron to Enhance the Spiking Neural Networks Performance by Establishing Complex Dynamics	95
Teacher–Explorer–Student Learning: A Novel Learning Method for Open Set Recognition	95
A Dini-Derivative-Aided Zeroing Neural Network for Time-Variant Quadratic Programming Involving Multi-Type Constraints With Robotic Applications	95
Hamiltonian Identification via Quantum Ensemble Classification	94
Lesion-Decoupling-Based Segmentation With Large-Scale Colon and Esophageal Datasets for Early Cancer Diagnosis	94
Universality and Approximation Bounds for Echo State Networks With Random Weights	94
Adaptive Weighted Ranking-Oriented Label Distribution Learning	94
Tuned Compositional Feature Replays for Efficient Stream Learning	94
Morphological Feature Visualization of Alzheimer’s Disease via Multidirectional Perception GAN	93
Efficient Multi-View Clustering via Unified and Discrete Bipartite Graph Learning	93
Distributed Optimization of Graph Convolutional Network Using Subgraph Variance	93
Heterogeneous Multidomain Recommender System Through Adversarial Learning	93
Toward High-Accuracy and Low-Latency Spiking Neural Networks With Two-Stage Optimization	93
Robust and Rotation-Equivariant Contrastive Learning	93
Merge Loss Calculation Method for Highly Imbalanced Data Multiclass Classification	93
Probabilistic Attention Based on Gaussian Processes for Deep Multiple Instance Learning	92
Event-Driven Video Restoration With Spiking-Convolutional Architecture	92
Robust Approximate Dynamic Programming for Nonlinear Systems With Both Model Error and External Disturbance	91
A Fast Evolutionary Knowledge Transfer Search for Multiscale Deep Neural Architecture	91
Adversarial Danger Identification on Temporally Dynamic Graphs	90
Analysis and Application of Matrix-Form Neural Networks for Fast Matrix-Variable Convex Optimization	90
An Information Fusion System-Driven Deep Neural Networks With Application to Cancer Mortality Risk Estimate	90
A Novel Formulation of Trace Ratio Linear Discriminant Analysis	90
Designing Efficient Bit-Level Sparsity-Tolerant Memristive Networks	90
Supervised Learning in Multilayer Spiking Neural Networks With Spike Temporal Error Backpropagation	90
Improving Pretrained Language Model Fine-Tuning With Noise Stability Regularization	90
Joint State and Unknown Input Estimation for a Class of Artificial Neural Networks With Sensor Resolution: An Encoding–Decoding Mechanism	90
Convergence-Rate-Based Event-Triggered Mechanisms for Quasi-Synchronization of Delayed Nonlinear Systems on Time Scales	89
Synchronization in Coupled Neural Networks With Hybrid Delayed Impulses: Average Impulsive Delay-Gain Method	89

PreCNet: Next-Frame Video Prediction Based on Predictive Coding	88
A Decoder-Free Variational Deep Embedding for Unsupervised Clustering	88
Depthwise Convolution for Multi-Agent Communication With Enhanced Mean-Field Approximation	87
Multiview Subspace Clustering via Low-Rank Symmetric Affinity Graph	87
Status-Aware Signed Heterogeneous Network Embedding With Graph Neural Networks	86
Mind Reasoning Manners: Enhancing Type Perception for Generalized Zero-Shot Logical Reasoning Over Text	86
Active Learning for Handling Missing Data	86
Finite-Time Stability Control of Uncertain Nonlinear Systems With Self-Limiting Control Terms	86
An End-to-End Deep Graph Clustering via Online Mutual Learning	86
Learning a World Model With Multitimescale Memory Augmentation	86
Flexible Vertical Federated Learning With Heterogeneous Parties	85
Semantic-Aware Dynamic Generation Networks for Few-Shot Human–Object Interaction Recognition	85
A Hybrid of Generative and Discriminative Models Based on the Gaussian-Coupled Softmax Layer	85
Frequency Domain-Oriented Complex Graph Neural Networks for Graph Classification	84
Unified Framework for Faster Clustering via Joint Schatten p-Norm Factorization With Optimal Mean	84
Enhancing Distributed Neural Network Training Through Node-Based Communications	84
Human-in-the-Loop Consensus Control for Multiagent Systems With External Disturbances	84
Achieving Sharp Upper Bounds on the Expressive Power of Neural Networks via Tropical Polynomials	83
Convergence Analysis on Trace Ratio Linear Discriminant Analysis Algorithms	83
Linear Deconfounded Score Method: Scoring DAGs With Dense Unobserved Confounding	83
Effects of Two-Channel Noise and Packet Loss on Performance of Information Time Delay Systems	83
Hybrid Reinforced Medical Report Generation With M-Linear Attention and Repetition Penalty	82
Norest-Net: Normal Estimation Neural Network for 3-D Noisy Point Clouds	82
Spectrum Analysis for Fully Connected Neural Networks	82
Source-Free Active Domain Adaptation via Augmentation-Based Sample Query and Progressive Model Adaptation	81
On the Size and Width of the Decoder of a Boolean Threshold Autoencoder	81
A Levenberg-Marquardt Algorithm for Sparse Identification of Dynamical Systems	81
Multiobjective Evolutionary Learning for Multitask Quality Prediction Problems in Continuous Annealing Process	81
Graph-Based Semi-Supervised Deep Image Clustering With Adaptive Adjacency Matrix	81
Adaptive Individual Q-Learning—A Multiagent Reinforcement Learning Method for Coordination Optimization	81
HICL: Hashtag-Driven In-Context Learning for Social Media Natural Language Understanding	80
Revisiting Initializing Then Refining: An Incomplete and Missing Graph Imputation Network	80
MIT: Mutual Information Topic Model for Diverse Topic Extraction	80
Proportional–Integral State Estimator for Quaternion-Valued Neural Networks With Time-Varying Delays	79
AN-GCN: An Anonymous Graph Convolutional Network Against Edge-Perturbing Attacks	79
Leveraging Bilateral Correlations for Multi-Label Few-Shot Learning	79
Data-Knowledge-Driven Self-Organizing Fuzzy Neural Network	79
Quantifying the Alignment of Graph and Features in Deep Learning	79
GBSVM: An Efficient and Robust Support Vector Machine Framework via Granular-Ball Computing	79
CSLM: Convertible Short-Term and Long-Term Memory in Differential Neural Computers	79
Learning to Predict Gradients for Semi-Supervised Continual Learning	79
Subarchitecture Ensemble Pruning in Neural Architecture Search	78
Agglomerative Neural Networks for Multiview Clustering	78
Multiplane Convex Proximal Support Vector Machine	78
A Weighted Heterogeneous Graph-Based Dialog System	78
AD-NEv: A Scalable Multilevel Neuroevolution Framework for Multivariate Anomaly Detection	78
Generalized Contextual Bandits With Latent Features: Algorithms and Applications	78
Guest Editorial: Special Issue on Explainable Representation Learning-Based Intelligent Inspection and Maintenance of Complex Systems	78
Robust to Rank Selection: Low-Rank Sparse Tensor-Ring Completion	77
Exploring Adversarial Attack in Spiking Neural Networks With Spike-Compatible Gradient	77
ECBC: Efficient Convolution via Blocked Columnizing	77
Recurrent Neural Dynamics Models for Perturbed Nonstationary Quadratic Programs: A Control-Theoretical Perspective	77
An Optimized Uncertainty-Aware Training Framework for Neural Networks	76
Domain Adaptation as Optimal Transport on Grassmann Manifolds	76
General Hamiltonian Neural Networks for Dynamic Modeling: Handling Sophisticated Constraints Automatically and Achieving Coordinates Free	76
Asymptotic Tracking Control for Uncertain MIMO Systems: A Biologically Inspired ESN Approach	76
Effective Streaming Low-Tubal-Rank Tensor Approximation via Frequent Directions	76
Neural Network Model-Based Control for Manipulator: An Autoencoder Perspective	75
Resilient Optimal Defensive Strategy of TSK Fuzzy-Model-Based Microgrids’ System via a Novel Reinforcement Learning Approach	75
Event-Based Design of Finite-Time Adaptive Control of Uncertain Nonlinear Systems	75
Question-Guided Erasing-Based Spatiotemporal Attention Learning for Video Question Answering	75
Online Causal Feature Selection for Streaming Features	75
Event-Triggered Adaptive Neural Network Control for Stochastic Nonlinear Systems With State Constraints and Time-Varying Delays	75
Identification of Autistic Risk Candidate Genes and Toxic Chemicals via Multilabel Learning	74
Stochastically Controlled Compositional Gradient for Composition Problems	74
On the Compressive Power of Boolean Threshold Autoencoders	74
Improving the Classification Performance of Dendrite Morphological Neurons	74
Unsupervised Feature Selection via Controllable Adaptive Graph Learning and Discriminative Feature Learning	73
Highly Efficient Active Learning With Tracklet-Aware Co-Cooperative Annotators for Person Re-Identification	73
Embracing Multiheterogeneity and Privacy Security Simultaneously: A Dynamic Privacy-Aware Federated Reinforcement Learning Approach	73
3D-DFM: Anchor-Free Multimodal 3-D Object Detection With Dynamic Fusion Module for Autonomous Driving	73
Neural Joint Entropy Estimation	73
Evolving Memristive Reservoir	73
Heterogeneous Prototype Learning From Contaminated Faces Across Domains via Disentangling Latent Factors	73
Neural Adaptive Intermittent Output Feedback Control for Autonomous Underwater Vehicles With Full-State Quantitative Designs	73
L-VSM: Label-Driven View-Specific Fusion for Multiview Multilabel Classification	73
Cellular Automata Can Reduce Memory Requirements of Collective-State Computing	72
Transfer Increment for Generalized Zero-Shot Learning	72
RCT: Resource Constrained Training for Edge AI	72
Adaptive Zone Learning for Weakly Supervised Object Localization	72
Letter on Convergence of In-Parameter-Linear Nonlinear Neural Architectures With Gradient Learnings	71
Ensemble Feature Selection With Block-Regularized m × 2 Cross-Validation	71
Knowledge Verification From Data	71
Parameterized Luenberger-TypeH∞State Estimator for Delayed Static Neural Networks	71
Locality Preservation for Unsupervised Multimodal Change Detection in Remote Sensing Imagery	71
Recent Advances in Conventional and Deep Learning-Based Depth Completion: A Survey	71
A Distributed Neural Hybrid System Learning Framework in Modeling Complex Dynamical Systems	71
Sparse Additive Machine With the Correntropy-Induced Loss	71
Learning Accurate Label-Specific Features From Partially Multilabeled Data	71
Few-Shot Continual Learning via Flat-to-Wide Approaches	71
Action Candidate Driven Clipped Double Q-Learning for Discrete and Continuous Action Tasks	71
Image Captioning via Dynamic Path Customization	70
Autonomous Cross Domain Adaptation Under Extreme Label Scarcity	70
A Distributional Perspective on Multiagent Cooperation With Deep Reinforcement Learning	70
Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization	70