IEEE Transactions on Neural Networks and Learning Systems

Article	Citations
IEEE Transactions on Neural Networks and Learning Systems Information for Authors	3116
Table of Contents	1588
IEEE Computational Intelligence Society Information	1344
Discovering Spatiotemporal–Individual Coupled Features From Nonstandard Tensors—A Novel Dynamic Graph Mixer Approach	741
End-to-End Streaming Video Temporal Action Segmentation With Reinforcement Learning	632
2-D Transformer: Extending Large Language Models to Long-Context With Few Memory	556
Analytical Bounds on the Local Lipschitz Constants of ReLU Networks	434
Chain-Structure Echo State Network With Stochastic Optimization: Methodology and Application	420
MUSIC: Accelerated Convergence for Distributed Optimization With Inexact and Exact Methods	411
Three-Stage Semisupervised Cross-Modal Hashing With Pairwise Relations Exploitation	374
Improving Pretrained Language Model Fine-Tuning With Noise Stability Regularization	330
On the Size and Width of the Decoder of a Boolean Threshold Autoencoder	321
Achieving Sharp Upper Bounds on the Expressive Power of Neural Networks via Tropical Polynomials	298
Single-Frame-Based Deep View Synchronization for Unsynchronized Multicamera Surveillance	275
Stochastically Controlled Compositional Gradient for Composition Problems	272
Altruistic Collaborative Learning	249
Efficient Approximations for Matrix-Based Rényi’s Entropy on Sequential Data	247
Semantic Consistency Reasoning for 3-D Object Detection in Point Clouds	246
Deep-Growing Neural Network With Manifold Constraints for Hyperspectral Image Classification	245
Nonergodic Complexity of Proximal Inertial Gradient Descents	239
Local Causal Discovery in Multiple Manipulated Datasets	229
Source-Free Active Domain Adaptation via Augmentation-Based Sample Query and Progressive Model Adaptation	228
Learning Unified Anchor Graph for Joint Clustering of Hyperspectral and LiDAR Data	226
Learning Aligned Vertex Convolutional Networks for Graph Classification	222
Learning Sequential Variation Information for Dynamic Facial Expression Recognition	220

Cross-Modal Remote Sensing Image–Text Retrieval via Context and Uncertainty-Aware Prompt	220
A Dini-Derivative-Aided Zeroing Neural Network for Time-Variant Quadratic Programming Involving Multi-Type Constraints With Robotic Applications	214
Colorization-Inspired Customized Low-Light Image Enhancement by a Decoupled Network	208
Proportional–Integral Observer-Based State Estimation for Singularly Perturbed Complex Networks With Cyberattacks	205
Consensus of Stochastic Dynamical Multiagent Systems in Directed Networks via PI Protocols	198
DualGCN: Exploring Syntactic and Semantic Information for Aspect-Based Sentiment Analysis	190
Efficient Spiking Neural Networks With Radix Encoding	188
Constructing Accurate and Efficient Deep Spiking Neural Networks With Double-Threshold and Augmented Schemes	181
Penalizing the Hard Example But Not Too Much: A Strong Baseline for Fine-Grained Visual Classification	181
Task-Oriented Robot Cognitive Manipulation Planning Using Affordance Segmentation and Logic Reasoning	181
Scalable Inverse Reinforcement Learning Through Multifidelity Bayesian Optimization	180
A Weighted Heterogeneous Graph-Based Dialog System	176
SCMix: Stochastic Compound Mixing for Open Compound Domain Adaptation in Semantic Segmentation	175
DigNet: Digging Clues From Local–Global Interactive Graph for Aspect-Level Sentiment Classification	175
Empowering the Diversity and Individuality of Option: Residual Soft Option Critic Framework	174
Integrating Clinical Knowledge Graphs and Gradient-Based Neural Systems for Enhanced Melanoma Diagnosis via the Seven-Point Checklist	174
Multistability of Almost Periodic Solutions for Fuzzy Competitive NNs With Time-Varying Delays	173
Conservative Novelty Synthesizing Network for Malware Recognition in an Open-Set Scenario	170
Status-Aware Signed Heterogeneous Network Embedding With Graph Neural Networks	169
Representation-Learning-Based CNN for Intelligent Attack Localization and Recovery of Cyber-Physical Power Systems	169
Backdoor Attacks and Countermeasures in Natural Language Processing Models: A Comprehensive Security Review	168
LMFE: Learning-Based Multiscale Feature Engineering in Partial Discharge Detection	167
AEVAE: Adaptive Evolutionary Autoencoder for Anomaly Detection in Time Series	167
H ∞Bipartite Synchronization of Double-Layer Markov Switched Cooperation-Competition Neural Networks: A Distributed Dynamic Event-Triggered Mechanism	166
Interpretable Model-Driven Deep Network for Hyperspectral, Multispectral, and Panchromatic Image Fusion	163
Theoretical Advances on Stochastic Configuration Networks	161
Adaptive Weighted Ranking-Oriented Label Distribution Learning	161
A Shadow Imaging Bilinear Model and Three-Branch Residual Network for Shadow Removal	160
Inverse Reinforcement Learning for Adversarial Apprentice Games	160
EDP: An Efficient Decomposition and Pruning Scheme for Convolutional Neural Network Compression	157
SinKD: Sinkhorn Distance Minimization for Knowledge Distillation	156
Projective Synchronization for Uncertain Fractional Reaction-Diffusion Systems via Adaptive Sliding Mode Control Based on Finite-Time Scheme	151
Heterogeneous Multidomain Recommender System Through Adversarial Learning	150
Visual Reinforcement Learning Control With Instance-Reweighted Alignment and Instance-Dimension Uniformity	150
Graph-Based Unsupervised Feature Selection for Interval-Valued Information System	149
Robust and Sparse Principal Component Analysis With Adaptive Loss Minimization for Feature Selection	149
Designing Efficient Bit-Level Sparsity-Tolerant Memristive Networks	149
A Hybrid CMOS-Memristor Spiking Neural Network Supporting Multiple Learning Rules	148
BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance	147
Local Anomaly Detection for Multivariate Time Series by Temporal Dependency Based on Poisson Model	146
Variable Gain Impulsive Synchronization for Discrete-Time Delayed Neural Networks and Its Application in Digital Secure Communication	144
Point-DAE: Denoising Autoencoders for Self-Supervised Point Cloud Learning	144
Adaptive Event-Triggered Bipartite Formation for Multiagent Systems via Reinforcement Learning	144
Improved Stability Criteria for Delayed Neural Networks Using a Quadratic Function Negative-Definiteness Approach	143
Recurrent Neural Dynamics Models for Perturbed Nonstationary Quadratic Programs: A Control-Theoretical Perspective	141
Koopman-Based MPC With Learned Dynamics: Hierarchical Neural Network Approach	140
LFT: Neural Ordinary Differential Equations With Learnable Final-Time	140
Domain Adaptation via Prompt Learning	137
Manifold Interpolation for Large-Scale Multiobjective Optimization via Generative Adversarial Networks	136
ResDNet: Efficient Dense Multi-Scale Representations With Residual Learning for High-Level Vision Tasks	136

Simulation-Aided Handover Prediction From Video Using Recurrent Image-to-Motion Networks	135
Event-Triggered Synchronization of Multiple Fractional-Order Recurrent Neural Networks With Time-Varying Delays	132
A Novel Formulation of Trace Ratio Linear Discriminant Analysis	131
Exploring Dynamic Transformer for Efficient Object Tracking	130
Automated Anomaly Detection via Curiosity-Guided Search and Self-Imitation Learning	129
Self-Constructing Fuzzy Neural Fractional-Order Sliding Mode Control of Active Power Filter	128
Subspace Clustering via Structured Sparse Relation Representation	127
Hierarchical Deep Reinforcement Learning-Based Propofol Infusion Assistant Framework in Anesthesia	126
Neuro-Optimal Event-Triggered Impulsive Control for Stochastic Systems via ADP	126
Adaptive Neural Coordinated Control for Multiple Euler-Lagrange Systems With Periodic Event-Triggered Sampling	125
Underexposed Image Correction via Hybrid Priors Navigated Deep Propagation	125
Spatiotemporal Transformation-Based Neural Network With Interpretable Structure for Modeling Distributed Parameter Systems	125
A Distributed Proximal Consensus Algorithm for Energy Saving in Ethylene Production	124
A Novel Data Augmentation Method Based on CoralGAN for Prediction of Part Surface Roughness	123
Neural Adaptive Intermittent Output Feedback Control for Autonomous Underwater Vehicles With Full-State Quantitative Designs	123
Adaptive Developmental Resonance Network	123
Federated Generalized Face Presentation Attack Detection	121
A Novel Generator With Auxiliary Branch for Improving GAN Performance	121
Parameterized Luenberger-TypeH∞State Estimator for Delayed Static Neural Networks	120
Efficient Linear Discriminant Analysis Based on Randomized Low-Rank Approaches	120
Depthwise Convolution for Multi-Agent Communication With Enhanced Mean-Field Approximation	119
MGEL: Multigrained Representation Analysis and Ensemble Learning for Text Moderation	119
Multiview Classification Through Learning From Interval-Valued Data	118
Effective Streaming Low-Tubal-Rank Tensor Approximation via Frequent Directions	117
Power Law in Deep Neural Networks: Sparse Network Generation and Continual Learning With Preferential Attachment	117
Interest HD: An Interest Frame Model for Recommendation Based on HD Image Generation	116
Wormhole Dynamics in Deep Neural Networks	116
Convolution Filter Compression via Sparse Linear Combinations of Quantized Basis	115
DenseKD: Dense Knowledge Distillation by Exploiting Region and Sample Importance	115
Soft Sensing for Time Series With Irregular Sampling Internals Based on a Denoising Interval Attention LSTM Network	114
A Study on Truncated Newton Methods for Linear Classification	114
Agglomerative Neural Networks for Multiview Clustering	114
Attention-Based Real Image Restoration	113
Open Set Domain Adaptation via Joint Alignment and Category Separation	113
Protecting Deep Learning Model Copyrights With Adversarial Example-Free Reuse Detection	113
Evolving Memristive Reservoir	112
Tensorizing GAN With High-Order Pooling for Alzheimer’s Disease Assessment	111
Simple and Effective: Spatial Rescaling for Person Reidentification	111
An Efficient Graph Learning System for Emotion Recognition Inspired by the Cognitive Prior Graph of EEG Brain Network	111
Learning Single Spectral Abundance for Hyperspectral Subpixel Target Detection	110
Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning	110
Deep Learning and Symbolic Regression for Discovering Parametric Equations	109
Rethinking Pretraining as a Bridge From ANNs to SNNs	108
Deep Learning for Visual Localization and Mapping: A Survey	107
Deep Reinforcement Learning for Cyber Security	106
Transfer Learning-Motivated Intelligent Fault Diagnosis Designs: A Survey, Insights, and Perspectives	106
TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks	106
From Cluster Assumption to Graph Convolution: Graph-Based Semi-Supervised Learning Revisited	105
Hierarchical Graph Convolutional Network Built by Multiscale Atlases for Brain Disorder Diagnosis Using Functional Connectivity	105
Robust Symbol Detection Based on Quaternion Neural Networks in Wireless Polarization-Shift-Keying Communications	105
Modified RNN for Solving Comprehensive Sylvester Equation With TDOA Application	105
Granular Ball Sampling for Noisy Label Classification or Imbalanced Classification	104
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS Publication Information	103
Table of Contents	103
Neural Network Output-Feedback Consensus Fault-Tolerant Control for Nonlinear Multiagent Systems With Intermittent Actuator Faults	103
IEEE Transactions on Neural Networks and Learning Systems Publication Information	103
State Estimation for Discrete Time-Delayed Impulsive Neural Networks Under Communication Constraints: A Delay-Range-Dependent Approach	102
DMESH: A Structure-Preserving Diffusion Model for 3-D Mesh Denoising	102
Flying Through a Narrow Gap Using End-to-End Deep Reinforcement Learning Augmented With Curriculum Learning and Sim2Real	102
IEEE Transactions on Neural Networks and Learning Systems Publication Information	102
Uncertainty-Aware Aggregation for Federated Open Set Domain Adaptation	101
Scale-Aware Super-Resolution Network With Dual Affinity Learning for Lesion Segmentation From Medical Images	101
GMM Enhanced Anchor-Based Spectral Clustering for Large-Scale Data	100
Disturbance-Aware Neuro-Optimal System Control Using Generative Adversarial Control Networks	100
SIN: Semantic Inference Network for Few-Shot Streaming Label Learning	99
Optimizing for In-Memory Deep Learning With Emerging Memory Technology	99
Accelerated Learning Control for Point-to-Point Tracking Systems	99
An Improved Non-Negative Latent Factor Model for Missing Data Estimation via Extragradient-Based Alternating Direction Method	98
Exponential Asynchronous Stabilization for Delayed Semi-Markovian Neural Networks via DAEIC	98
Random Orthogonal Additive Filters: A Solution to the Vanishing/Exploding Gradient of Deep Neural Networks	98
Retrieval-Augmented Few-Shot Medical Image Segmentation With Foundation Models	98
Clustering Interval and Triangular Granular Data: Modeling, Execution, and Assessment	98
IEEE Transactions on Neural Networks and Learning Systems Information for Authors	97
Progressively Learning to Reach Remote Goals by Continuously Updating Boundary Goals	97
Explicit Margin Equilibrium for Few-Shot Object Detection	97
A Theoretical Insight Into the Effect of Loss Function for Deep Semantic-Preserving Learning	97
Robust PID-Type Iterative Learning Control for Nonlinear Square and Nonsquare Systems	96
Similarity-Agnostic Contrastive Learning With Alterable Self-Supervision	95
An Interpretable Neural Control Network With Adaptable Online Learning for Sample Efficient Robot Locomotion Learning	95
TRG-Net: An Interpretable and Controllable Rain Generator	95

Safe Adaptive Policy Transfer Reinforcement Learning for Distributed Multiagent Control	94
Cardinality Constrained Portfolio Optimization via Alternating Direction Method of Multipliers	94
Clinical Prompt Learning With Frozen Language Models	94
Self-Supervised Deep Multiview Spectral Clustering	93
Multi-H∞ Controls for Unknown Input-Interference Nonlinear System With Reinforcement Learning	93
IronForge: An Open, Secure, Fair, Decentralized Federated Learning	93
Optimal Control for Constrained Discrete-Time Nonlinear Systems Based on Safe Reinforcement Learning	93
SAM-Med3D: A Vision Foundation Model for General-Purpose Segmentation on Volumetric Medical Images	92
Learning Cross-Attention Discriminators via Alternating Time–Space Transformers for Visual Tracking	92
Skeleton-Based Human Motion Prediction With Privileged Supervision	92
Sparse Count Data Clustering Using an Exponential Approximation to Generalized Dirichlet Multinomial Distributions	92
Neuroadaptive Control With Enhanced Stability and Reliability	91
An Online Active Broad Learning Approach for Real-Time Safety Assessment of Dynamic Systems in Nonstationary Environments	91
Long-Term Tracking of Evasive Urban Target Based on Intention Inference and Deep Reinforcement Learning	91
Data-Driven Internal Model Learning Control for Nonlinear Systems	91
PPGF: Probability Pattern-Guided Time Series Forecasting	91
Dual-Channel Adaptive Scale Hypergraph Encoders With Cross-View Contrastive Learning for Knowledge Tracing	91
Degradation Alignment in Remaining Useful Life Prediction Using Deep Cycle-Consistent Learning	90
Smart Machine Vision for Universal Spatial-Mode Reconstruction	90
Finite-Time Passivity for Coupled Fractional-Order Neural Networks With Multistate or Multiderivative Couplings	90
A Novel Fusion and Feature Selection Framework for Multisource Time-Series Data Based on Information Entropy	90
A Cross-Client Coordinator in Federated Learning Framework for Conquering Heterogeneity	89
Token-Bucket-Protocol-Based Recursive Remote State Estimation for Complex Networks Under Amplify-and-Forward Relays	89
An Explainable and Generalizable Recurrent Neural Network Approach for Differentiating Human Brain States on EEG Dataset	89
Regularization Effect of Random Node Fault/Noise on Gradient Descent Learning Algorithm	89
A Novel k-Means Framework via Constrained Relaxation and Spectral Rotation	89
A Node-Collaboration-Informed Graph Convolutional Network for Highly Accurate Representation to Undirected Weighted Graph	88
Inducing Neural Collapse via Anticlasses and One-Cold Cross-Entropy Loss	88
Reinforcement Learning From Hierarchical Critics	87
Targeted Collapse Regularized Autoencoder for Anomaly Detection: Black Hole at the Center	87
Modularizing Deep Learning via Pairwise Learning With Kernels	87
Privacy-Aware Data Acquisition Under Data Similarity in Regression Markets	87
Circuit Implementation and Quasi-Stabilization of Delayed Inertial Memristor-Based Neural Networks	87
Causal Optimal Transport for Treatment Effect Estimation	87
Cooperative Deep Q-Learning Framework for Environments Providing Image Feedback	86
Exponential Stability of Impulsive Timescale-Type Nonautonomous Neural Networks With Discrete Time-Varying and Infinite Distributed Delays	86
Two-Time Scale Tracking Control of Flexible Robots With Primal-Dual Inverse Reinforcement Learning	86
Composite Learning Control of Overactuated Manned Submersible Vehicle With Disturbance/Uncertainty and Measurement Noise	86
Multiple Guidance Network for Industrial Product Surface Inspection With One Labeled Target Sample	86
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS Publication Information	86
Dual Parallel Policy Iteration With Coupled Policy Improvement	86
Bidirectional Probabilistic Subspaces Approximation for Multiview Clustering	86
Cosine 2DPCA With Weighted Projection Maximization	85
PicassoNet: Searching Adaptive Architecture for Efficient Facial Landmark Localization	84
Hierarchical Self-Attention Network for Industrial Data Series Modeling With Different Sampling Rates Between the Input and Output Sequences	84
Discriminative Regression With Adaptive Graph Diffusion	84
Combining Optimal Path Search With Task-Dependent Learning in a Neural Network	83
Learning Multi-Agent Cooperation via Considering Actions of Teammates	83
Bayesian-Learning-Based Diffusion Least Mean Square Algorithms Over Networks	83
Massive Ultrasonic Data Compression Using Wavelet Packet Transformation Optimized by Convolutional Autoencoders	83
Keep and Select: Improving Hierarchical Context Modeling for Multi-Turn Response Generation	83
Anti-Confounding Hashing: Enhancing Radiological Image Retrieval via Debiased Weighting and Counterfactual Reasoning	83
Interactive Prognosis Framework Between Deep Learning and a Stochastic Process Model for Remaining Useful Life Prediction	83
CycleTrans: Learning Neutral Yet Discriminative Features via Cycle Construction for Visible- Infrared Person Re-Identification	82
On the Sufficient Condition for Solving the Gap-Filling Problem Using Deep Convolutional Neural Networks	82
An Uplink Communication-Efficient Approach to Featurewise Distributed Sparse Optimization With Differential Privacy	82
Security and Safety-Critical Learning-Based Collaborative Control for Multiagent Systems	81
Fully Complex-Valued Dendritic Neuron Model	81
A New Looped Functional to Synchronize Neural Networks With Sampled-Data Control	81
Resilient Model Free Adaptive Distributed LFC for Multi-Area Power Systems Against Jamming Attacks	81
An Inexact Sequential Quadratic Programming Method for Learning and Control of Recurrent Neural Networks	80
Progressive Spatial Information-Guided Deep Aggregation Convolutional Network for Hyperspectral Spectral Super-Resolution	80
Temporal Encoding and Multispike Learning Framework for Efficient Recognition of Visual Patterns	80
Biphasic Face Photo-Sketch Synthesis via Semantic-Driven Generative Adversarial Network With Graph Representation Learning	80
Safety-Critical Containment Maneuvering of Underactuated Autonomous Surface Vehicles Based on Neurodynamic Optimization With Control Barrier Functions	79
Deep Adversarial Inconsistent Cognitive Sampling for Multiview Progressive Subspace Clustering	79
Unsupervised Deep Tensor Network for Hyperspectral–Multispectral Image Fusion	79
Bicriteria Sparse Nonnegative Matrix Factorization via Two-Timescale Duplex Neurodynamic Optimization	79
Exponential Synchronization of Coupled Inertial Neural Networks With Hybrid Delays and Stochastic Impulses	78
Exponentially Synchronous Results for Delayed Neural Networks With Leakage Delay via Switched Delay Idea and AED-ADT Method	78
GBRS: A Unified Granular-Ball Learning Model of Pawlak Rough Set and Neighborhood Rough Set	78
Wavelet Transformer: An Effective Method on Multiple Periodic Decomposition for Time Series Forecasting	77
Learned Gradient Compression for Distributed Deep Learning	77
Complete Stability of Delayed Recurrent Neural Networks With New Wave-Type Activation Functions	77
Reverse Graph Learning for Graph Neural Network	77
Synaptic Weight Evolution and Charge Trapping Mechanisms in a Synaptic Pass-Transistor Operation With a Direct Potential Output	76
Event-Triggered Communication Network With Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning	76
Multiagent Soft Actor-Critic Based Hybrid Motion Planner for Mobile Robots	76
Convolutional Neural Networks for Spherical Signal Processing via Area-Regular Spherical Haar Tight Framelets	76
The Optimization of Control Parameters: Finite-Time Bipartite Synchronization of Memristive Neural Networks With Multiple Time Delays via Saturation Function	76
A Unified Framework Based on Graph Consensus Term for Multiview Learning	76
Observer-Based NN Control for Nonlinear Systems With Full-State Constraints and External Disturbances	76
One-Step Multiview Clustering via Adaptive Graph Learning and Spectral Rotation	76
Formulating and Representing Multiagent Systems With Hypergraphs	75
Self-Supervised Random Forest on Transformed Distribution for Anomaly Detection	75
Gait Quality Aware Network: Toward the Interpretability of Silhouette-Based Gait Recognition	75
Memory-Efficient Class-Incremental Learning for Image Classification	75
Novel Discrete-Time Recurrent Neural Network for Robot Manipulator: A Direct Discretization Technical Route	74
Discrete-Time Signatures and Randomness in Reservoir Computing	74
Spatiotemporal Decouple-and-Squeeze Contrastive Learning for Semisupervised Skeleton-Based Action Recognition	74
Hierarchical Regression and Classification for Accurate Object Detection	74
Adaptive Integral Sliding Mode Control Using Fully Connected Recurrent Neural Network for Position and Attitude Control of Quadrotor	74
Editorial Biologically Learned/Inspired Methods for Sensing, Control, and Decision	73
Further Results on Optimal Tracking Control for Nonlinear Systems With Nonzero Equilibrium via Adaptive Dynamic Programming	73
Composite-Learning-Based Adaptive Neural Control for Dual-Arm Robots With Relative Motion	73