IEEE Transactions on Neural Networks and Learning Systems

Article	Citations
IEEE Transactions on Neural Networks and Learning Systems Information for Authors	3397
Table of Contents	1709
IEEE Computational Intelligence Society Information	806
End-to-End Streaming Video Temporal Action Segmentation With Reinforcement Learning	678
On the Size and Width of the Decoder of a Boolean Threshold Autoencoder	565
Single-Frame-Based Deep View Synchronization for Unsynchronized Multicamera Surveillance	482
Altruistic Collaborative Learning	456
Efficient Approximations for Matrix-Based Rényi’s Entropy on Sequential Data	406
Deep-Growing Neural Network With Manifold Constraints for Hyperspectral Image Classification	358
Local Causal Discovery in Multiple Manipulated Datasets	353
Semantic Consistency Reasoning for 3-D Object Detection in Point Clouds	325
Convolution Filter Compression via Sparse Linear Combinations of Quantized Basis	313
Visual Reinforcement Learning Control With Instance-Reweighted Alignment and Instance-Dimension Uniformity	294
Protecting Deep Learning Model Copyrights With Adversarial Example-Free Reuse Detection	285
Multiview Classification Through Learning From Interval-Valued Data	266
Discovering Spatiotemporal–Individual Coupled Features From Nonstandard Tensors—A Novel Dynamic Graph Mixer Approach	255
Stochastically Controlled Compositional Gradient for Composition Problems	252
Wormhole Dynamics in Deep Neural Networks	252
Simulation-Aided Handover Prediction From Video Using Recurrent Image-to-Motion Networks	250
A Novel Formulation of Trace Ratio Linear Discriminant Analysis	241
Automated Anomaly Detection via Curiosity-Guided Search and Self-Imitation Learning	240
Underexposed Image Correction via Hybrid Priors Navigated Deep Propagation	237
A Distributed Proximal Consensus Algorithm for Energy Saving in Ethylene Production	228
Learning Single Spectral Abundance for Hyperspectral Subpixel Target Detection	226
Consensus of Stochastic Dynamical Multiagent Systems in Directed Networks via PI Protocols	225

Parameterized Luenberger-TypeH∞State Estimator for Delayed Static Neural Networks	217
PGFormer: A Prototype-Graph Transformer for Incomplete Multiview Clustering	210
Unsupervised Skill Discovery Through Skill Regions Differentiation	207
Open Set Domain Adaptation via Joint Alignment and Category Separation	202
A Weighted Heterogeneous Graph-Based Dialog System	198
MUSIC: Accelerated Convergence for Distributed Optimization With Inexact and Exact Methods	195
2-D Transformer: Extending Large Language Models to Long-Context With Few Memory	193
IEEE Computational Intelligence Society	190
Improving Pretrained Language Model Fine-Tuning With Noise Stability Regularization	189
Task-Oriented Robot Cognitive Manipulation Planning Using Affordance Segmentation and Logic Reasoning	188
MGEL: Multigrained Representation Analysis and Ensemble Learning for Text Moderation	188
DigNet: Digging Clues From Local–Global Interactive Graph for Aspect-Level Sentiment Classification	187
SCMix: Stochastic Compound Mixing for Open Compound Domain Adaptation in Semantic Segmentation	186
Integrating Clinical Knowledge Graphs and Gradient-Based Neural Systems for Enhanced Melanoma Diagnosis via the Seven-Point Checklist	186
Theoretical Advances on Stochastic Configuration Networks	182
Designing Efficient Bit-Level Sparsity-Tolerant Memristive Networks	182
LFT: Neural Ordinary Differential Equations With Learnable Final-Time	181
ResDNet: Efficient Dense Multi-Scale Representations With Residual Learning for High-Level Vision Tasks	180
Effective Streaming Low-Tubal-Rank Tensor Approximation via Frequent Directions	180
Spectral Embedding Representation Based on Random Anchor Graph Aggregation	179
Constructing Accurate and Efficient Deep Spiking Neural Networks With Double-Threshold and Augmented Schemes	179
Empowering the Diversity and Individuality of Option: Residual Soft Option Critic Framework	179
Scalable Inverse Reinforcement Learning Through Multifidelity Bayesian Optimization	174
Source-Free Active Domain Adaptation via Augmentation-Based Sample Query and Progressive Model Adaptation	170
Hierarchical Deep Reinforcement Learning-Based Propofol Infusion Assistant Framework in Anesthesia	169
Analytical Bounds on the Local Lipschitz Constants of ReLU Networks	167
Power Law in Deep Neural Networks: Sparse Network Generation and Continual Learning With Preferential Attachment	167
Efficient Linear Discriminant Analysis Based on Randomized Low-Rank Approaches	167
Soft Sensing for Time Series With Irregular Sampling Internals Based on a Denoising Interval Attention LSTM Network	166
Recurrent Neural Dynamics Models for Perturbed Nonstationary Quadratic Programs: A Control-Theoretical Perspective	158
Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning	157
Hierarchical Graph Convolutional Network Built by Multiscale Atlases for Brain Disorder Diagnosis Using Functional Connectivity	156
Efficient Spiking Neural Networks With Radix Encoding	155
Deep Learning for Visual Localization and Mapping: A Survey	155
Adaptive Neural Coordinated Control for Multiple Euler-Lagrange Systems With Periodic Event-Triggered Sampling	154
Rethinking Pretraining as a Bridge From ANNs to SNNs	154
A Dini-Derivative-Aided Zeroing Neural Network for Time-Variant Quadratic Programming Involving Multi-Type Constraints With Robotic Applications	154
LMFE: Learning-Based Multiscale Feature Engineering in Partial Discharge Detection	154
DenseKD: Dense Knowledge Distillation by Exploiting Region and Sample Importance	152
Event-Triggered Synchronization of Multiple Fractional-Order Recurrent Neural Networks With Time-Varying Delays	152
Deep Learning and Symbolic Regression for Discovering Parametric Equations	150
Projective Synchronization for Uncertain Fractional Reaction-Diffusion Systems via Adaptive Sliding Mode Control Based on Finite-Time Scheme	148
A Novel Generator With Auxiliary Branch for Improving GAN Performance	147
Adaptive Weighted Ranking-Oriented Label Distribution Learning	145
Federated Generalized Face Presentation Attack Detection	145
BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance	144
A Study on Truncated Newton Methods for Linear Classification	144
Agglomerative Neural Networks for Multiview Clustering	144
Depthwise Convolution for Multi-Agent Communication With Enhanced Mean-Field Approximation	142
Conservative Novelty Synthesizing Network for Malware Recognition in an Open-Set Scenario	140

Multistability of Almost Periodic Solutions for Fuzzy Competitive NNs With Time-Varying Delays	137
Simple and Effective: Spatial Rescaling for Person Reidentification	136
Modified RNN for Solving Comprehensive Sylvester Equation With TDOA Application	136
From Cluster Assumption to Graph Convolution: Graph-Based Semi-Supervised Learning Revisited	136
Heterogeneous Multidomain Recommender System Through Adversarial Learning	135
Subspace Clustering via Structured Sparse Relation Representation	135
A Novel Data Augmentation Method Based on CoralGAN for Prediction of Part Surface Roughness	135
Neuro-Optimal Event-Triggered Impulsive Control for Stochastic Systems via ADP	133
Exploring Dynamic Transformer for Efficient Object Tracking	132
Attention-Based Real Image Restoration	132
Penalizing the Hard Example But Not Too Much: A Strong Baseline for Fine-Grained Visual Classification	132
H ∞Bipartite Synchronization of Double-Layer Markov Switched Cooperation-Competition Neural Networks: A Distributed Dynamic Event-Triggered Mechanism	132
Evolving Memristive Reservoir	131
Local Anomaly Detection for Multivariate Time Series by Temporal Dependency Based on Poisson Model	130
Koopman-Based MPC With Learned Dynamics: Hierarchical Neural Network Approach	129
Butterfly Residual Network: A Hybrid Approach With Spectral Transformers and Depth-Wise Convolutions for Hyperspectral Image Super-Resolution	129
Variable Gain Impulsive Synchronization for Discrete-Time Delayed Neural Networks and Its Application in Digital Secure Communication	129
Tensorizing GAN With High-Order Pooling for Alzheimer’s Disease Assessment	127
A Hybrid CMOS-Memristor Spiking Neural Network Supporting Multiple Learning Rules	127
Interest HD: An Interest Frame Model for Recommendation Based on HD Image Generation	127
Colorization-Inspired Customized Low-Light Image Enhancement by a Decoupled Network	125
Context-Aware Learning and Pattern Decomposition for Temporal Knowledge Graph Reasoning	125
Achieving Sharp Upper Bounds on the Expressive Power of Neural Networks via Tropical Polynomials	125
Robust and Sparse Principal Component Analysis With Adaptive Loss Minimization for Feature Selection	125
Adaptive Event-Triggered Bipartite Formation for Multiagent Systems via Reinforcement Learning	124
Learning Sequential Variation Information for Dynamic Facial Expression Recognition	124
An Efficient Graph Learning System for Emotion Recognition Inspired by the Cognitive Prior Graph of EEG Brain Network	123
SinKD: Sinkhorn Distance Minimization for Knowledge Distillation	123
Self-Constructing Fuzzy Neural Fractional-Order Sliding Mode Control of Active Power Filter	122
Spatiotemporal Transformation-Based Neural Network With Interpretable Structure for Modeling Distributed Parameter Systems	121
AEVAE: Adaptive Evolutionary Autoencoder for Anomaly Detection in Time Series	120
Graph-Based Unsupervised Feature Selection for Interval-Valued Information System	119
Status-Aware Signed Heterogeneous Network Embedding With Graph Neural Networks	119
Inverse Reinforcement Learning for Adversarial Apprentice Games	119
Manifold Interpolation for Large-Scale Multiobjective Optimization via Generative Adversarial Networks	117
Chain-Structure Echo State Network With Stochastic Optimization: Methodology and Application	117
Representation-Learning-Based CNN for Intelligent Attack Localization and Recovery of Cyber-Physical Power Systems	117
Robust Symbol Detection Based on Quaternion Neural Networks in Wireless Polarization-Shift-Keying Communications	116
Improved Stability Criteria for Delayed Neural Networks Using a Quadratic Function Negative-Definiteness Approach	116
Proportional–Integral Observer-Based State Estimation for Singularly Perturbed Complex Networks With Cyberattacks	115
Transfer Learning-Motivated Intelligent Fault Diagnosis Designs: A Survey, Insights, and Perspectives	115
Interpretable Model-Driven Deep Network for Hyperspectral, Multispectral, and Panchromatic Image Fusion	114
Point-DAE: Denoising Autoencoders for Self-Supervised Point Cloud Learning	114
Learning Aligned Vertex Convolutional Networks for Graph Classification	112
DualGCN: Exploring Syntactic and Semantic Information for Aspect-Based Sentiment Analysis	111
Granular Ball Sampling for Noisy Label Classification or Imbalanced Classification	111
Deep Reinforcement Learning for Cyber Security	111
A Shadow Imaging Bilinear Model and Three-Branch Residual Network for Shadow Removal	110
TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks	110
Domain Adaptation via Prompt Learning	109
Neural Network Output-Feedback Consensus Fault-Tolerant Control for Nonlinear Multiagent Systems With Intermittent Actuator Faults	108
Neural Adaptive Intermittent Output Feedback Control for Autonomous Underwater Vehicles With Full-State Quantitative Designs	108
Backdoor Attacks and Countermeasures in Natural Language Processing Models: A Comprehensive Security Review	107
Three-Stage Semisupervised Cross-Modal Hashing With Pairwise Relations Exploitation	107
Cross-Modal Remote Sensing Image–Text Retrieval via Context and Uncertainty-Aware Prompt	106
IEEE Transactions on Neural Networks and Learning Systems Publication Information	106
Learning Unified Anchor Graph for Joint Clustering of Hyperspectral and LiDAR Data	106
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS Publication Information	106
Exponential Asynchronous Stabilization for Delayed Semi-Markovian Neural Networks via DAEIC	105
IEEE Transactions on Neural Networks and Learning Systems Information for Authors	105
Optimizing for In-Memory Deep Learning With Emerging Memory Technology	105
Progressively Learning to Reach Remote Goals by Continuously Updating Boundary Goals	105
IEEE Transactions on Neural Networks and Learning Systems Publication Information	105
TRG-Net: An Interpretable and Controllable Rain Generator	104
Robust PID-Type Iterative Learning Control for Nonlinear Square and Nonsquare Systems	104
Similarity-Agnostic Contrastive Learning With Alterable Self-Supervision	104
An Interpretable Neural Control Network With Adaptable Online Learning for Sample Efficient Robot Locomotion Learning	103
Neuroadaptive Control With Enhanced Stability and Reliability	102
Sparse Count Data Clustering Using an Exponential Approximation to Generalized Dirichlet Multinomial Distributions	102
Self-Supervised Deep Multiview Spectral Clustering	102
Regularization Effect of Random Node Fault/Noise on Gradient Descent Learning Algorithm	101
A Novel Fusion and Feature Selection Framework for Multisource Time-Series Data Based on Information Entropy	101
Smart Machine Vision for Universal Spatial-Mode Reconstruction	101
Targeted Collapse Regularized Autoencoder for Anomaly Detection: Black Hole at the Center	100
Two-Time Scale Tracking Control of Flexible Robots With Primal-Dual Inverse Reinforcement Learning	100
Privacy-Aware Data Acquisition Under Data Similarity in Regression Markets	100
Reinforcement Learning From Hierarchical Critics	100
Exponential Stability of Impulsive Timescale-Type Nonautonomous Neural Networks With Discrete Time-Varying and Infinite Distributed Delays	99
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS Publication Information	99
Generalized Subspace Coupling Approach for Robust Low-Tubal-Rank Tensor Completion	98

Interactive Prognosis Framework Between Deep Learning and a Stochastic Process Model for Remaining Useful Life Prediction	98
Dual Parallel Policy Iteration With Coupled Policy Improvement	98
Multi-H∞ Controls for Unknown Input-Interference Nonlinear System With Reinforcement Learning	98
Multiple Guidance Network for Industrial Product Surface Inspection With One Labeled Target Sample	98
Retrieval-Augmented Few-Shot Medical Image Segmentation With Foundation Models	97
Cardinality Constrained Portfolio Optimization via Alternating Direction Method of Multipliers	97
SIN: Semantic Inference Network for Few-Shot Streaming Label Learning	97
Unsupervised Deep Tensor Network for Hyperspectral–Multispectral Image Fusion	97
An Online Active Broad Learning Approach for Real-Time Safety Assessment of Dynamic Systems in Nonstationary Environments	97
An Explainable and Generalizable Recurrent Neural Network Approach for Differentiating Human Brain States on EEG Dataset	96
Combining Optimal Path Search With Task-Dependent Learning in a Neural Network	96
Cosine 2DPCA With Weighted Projection Maximization	96
Bayesian-Learning-Based Diffusion Least Mean Square Algorithms Over Networks	95
Accelerated Learning Control for Point-to-Point Tracking Systems	95
On the Sufficient Condition for Solving the Gap-Filling Problem Using Deep Convolutional Neural Networks	95
Learning Multi-Agent Cooperation via Considering Actions of Teammates	95
Convolutional Neural Networks for Spherical Signal Processing via Area-Regular Spherical Haar Tight Framelets	94
Biphasic Face Photo-Sketch Synthesis via Semantic-Driven Generative Adversarial Network With Graph Representation Learning	94
A Unified Framework Based on Graph Consensus Term for Multiview Learning	94
Anti-Confounding Hashing: Enhancing Radiological Image Retrieval via Debiased Weighting and Counterfactual Reasoning	94
Composite Learning Control of Overactuated Manned Submersible Vehicle With Disturbance/Uncertainty and Measurement Noise	94
A Theoretical Insight Into the Effect of Loss Function for Deep Semantic-Preserving Learning	93
Token-Bucket-Protocol-Based Recursive Remote State Estimation for Complex Networks Under Amplify-and-Forward Relays	93
SNN-FT: Temporal-Coded Spiking Neural Networks for Fourier Transform	93
Inducing Neural Collapse via Anticlasses and One-Cold Cross-Entropy Loss	92
State Estimation for Discrete Time-Delayed Impulsive Neural Networks Under Communication Constraints: A Delay-Range-Dependent Approach	92
GMM Enhanced Anchor-Based Spectral Clustering for Large-Scale Data	92
Degradation Alignment in Remaining Useful Life Prediction Using Deep Cycle-Consistent Learning	92
Keep and Select: Improving Hierarchical Context Modeling for Multi-Turn Response Generation	91
Clustering Interval and Triangular Granular Data: Modeling, Execution, and Assessment	91
Causal Optimal Transport for Treatment Effect Estimation	91
Long-Term Tracking of Evasive Urban Target Based on Intention Inference and Deep Reinforcement Learning	91
Semi-Supervised Breast Lesion Segmentation Using Confidence-Ranked Features and Bi-Level Prototypes	91
Data-Driven Internal Model Learning Control for Nonlinear Systems	91
DMESH: A Structure-Preserving Diffusion Model for 3-D Mesh Denoising	91
SAM-Med3D: A Vision Foundation Model for General-Purpose Segmentation on Volumetric Medical Images	91
Clinical Prompt Learning With Frozen Language Models	90
An Improved Non-Negative Latent Factor Model for Missing Data Estimation via Extragradient-Based Alternating Direction Method	90
Learning Cross-Attention Discriminators via Alternating Time–Space Transformers for Visual Tracking	90
HomLLM: Exploiting Semantic Homology Relationship for Fine-Grained Bird Image Classification via Large Language Models	90
CycleTrans: Learning Neutral Yet Discriminative Features via Cycle Construction for Visible- Infrared Person Re-Identification	90
Deep Adversarial Inconsistent Cognitive Sampling for Multiview Progressive Subspace Clustering	89
Modularizing Deep Learning via Pairwise Learning With Kernels	89
Skeleton-Based Human Motion Prediction With Privileged Supervision	88
Discriminative Regression With Adaptive Graph Diffusion	88
A Node-Collaboration-Informed Graph Convolutional Network for Highly Accurate Representation to Undirected Weighted Graph	88
Explicit Margin Equilibrium for Few-Shot Object Detection	88
Gait Quality Aware Network: Toward the Interpretability of Silhouette-Based Gait Recognition	86
One-Step Multiview Clustering via Adaptive Graph Learning and Spectral Rotation	86
Hierarchical Regression and Classification for Accurate Object Detection	86
Uncertainty-Aware Aggregation for Federated Open Set Domain Adaptation	86
An Inexact Sequential Quadratic Programming Method for Learning and Control of Recurrent Neural Networks	86
Exponentially Synchronous Results for Delayed Neural Networks With Leakage Delay via Switched Delay Idea and AED-ADT Method	86
Progressive Spatial Information-Guided Deep Aggregation Convolutional Network for Hyperspectral Spectral Super-Resolution	86
Novel Discrete-Time Recurrent Neural Network for Robot Manipulator: A Direct Discretization Technical Route	86
Finite-Time Passivity for Coupled Fractional-Order Neural Networks With Multistate or Multiderivative Couplings	85
Optimal Control for Constrained Discrete-Time Nonlinear Systems Based on Safe Reinforcement Learning	85
Fully Complex-Valued Dendritic Neuron Model	85
Observer-Based NN Control for Nonlinear Systems With Full-State Constraints and External Disturbances	85
Adaptive Integral Sliding Mode Control Using Fully Connected Recurrent Neural Network for Position and Attitude Control of Quadrotor	85
Dual-Channel Adaptive Scale Hypergraph Encoders With Cross-View Contrastive Learning for Knowledge Tracing	84
Formulating and Representing Multiagent Systems With Hypergraphs	84
Random Orthogonal Additive Filters: A Solution to the Vanishing/Exploding Gradient of Deep Neural Networks	84
Fuzzy Logic-Enhanced Neuroadaptive Fault-Tolerant Control for Vehicular Platoons With Stochastic Disturbances and Asymmetric Spacing Constraints	83
Table of Contents	83
Circuit Implementation and Quasi-Stabilization of Delayed Inertial Memristor-Based Neural Networks	83
Learned Gradient Compression for Distributed Deep Learning	83
PicassoNet: Searching Adaptive Architecture for Efficient Facial Landmark Localization	83
Bicriteria Sparse Nonnegative Matrix Factorization via Two-Timescale Duplex Neurodynamic Optimization	82
Cooperative Deep Q-Learning Framework for Environments Providing Image Feedback	82
Temporal Encoding and Multispike Learning Framework for Efficient Recognition of Visual Patterns	82
Massive Ultrasonic Data Compression Using Wavelet Packet Transformation Optimized by Convolutional Autoencoders	82
Wavelet Transformer: An Effective Method on Multiple Periodic Decomposition for Time Series Forecasting	81
Scale-Aware Super-Resolution Network With Dual Affinity Learning for Lesion Segmentation From Medical Images	81
Multiagent Soft Actor-Critic Based Hybrid Motion Planner for Mobile Robots	81
The Optimization of Control Parameters: Finite-Time Bipartite Synchronization of Memristive Neural Networks With Multiple Time Delays via Saturation Function	81
Safe Adaptive Policy Transfer Reinforcement Learning for Distributed Multiagent Control	80
Composite-Learning-Based Adaptive Neural Control for Dual-Arm Robots With Relative Motion	80
A New Looped Functional to Synchronize Neural Networks With Sampled-Data Control	80
IronForge: An Open, Secure, Fair, Decentralized Federated Learning	80
Self-Supervised Random Forest on Transformed Distribution for Anomaly Detection	80
Security and Safety-Critical Learning-Based Collaborative Control for Multiagent Systems	80
GBRS: A Unified Granular-Ball Learning Model of Pawlak Rough Set and Neighborhood Rough Set	79
Resilient Model Free Adaptive Distributed LFC for Multi-Area Power Systems Against Jamming Attacks	79
Exponential Synchronization of Coupled Inertial Neural Networks With Hybrid Delays and Stochastic Impulses	79
PPGF: Probability Pattern-Guided Time Series Forecasting	78
Spatiotemporal Decouple-and-Squeeze Contrastive Learning for Semisupervised Skeleton-Based Action Recognition	78
Event-Triggered Communication Network With Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning	78
Reverse Graph Learning for Graph Neural Network	78
Hierarchical Self-Attention Network for Industrial Data Series Modeling With Different Sampling Rates Between the Input and Output Sequences	78
Memory-Efficient Class-Incremental Learning for Image Classification	77
Flying Through a Narrow Gap Using End-to-End Deep Reinforcement Learning Augmented With Curriculum Learning and Sim2Real	77
A Novel k-Means Framework via Constrained Relaxation and Spectral Rotation	77
Safety-Critical Containment Maneuvering of Underactuated Autonomous Surface Vehicles Based on Neurodynamic Optimization With Control Barrier Functions	77
Complete Stability of Delayed Recurrent Neural Networks With New Wave-Type Activation Functions	77