IEEE Transactions on Neural Networks and Learning Systems

Article	Citations
IEEE Transactions on Neural Networks and Learning Systems Information for Authors	4357
Table of Contents	1084
IEEE Computational Intelligence Society Information	901
Altruistic Collaborative Learning	821
Efficient Approximations for Matrix-Based Rényi’s Entropy on Sequential Data	737
Neuro-Optimal Event-Triggered Impulsive Control for Stochastic Systems via ADP	508
Achieving Sharp Upper Bounds on the Expressive Power of Neural Networks via Tropical Polynomials	489
Variable Gain Impulsive Synchronization for Discrete-Time Delayed Neural Networks and Its Application in Digital Secure Communication	456
Visual Reinforcement Learning Control With Instance-Reweighted Alignment and Instance-Dimension Uniformity	455
Stochastically Controlled Compositional Gradient for Composition Problems	449
Underexposed Image Correction via Hybrid Priors Navigated Deep Propagation	391
A Distributed Proximal Consensus Algorithm for Energy Saving in Ethylene Production	364
IEEE Computational Intelligence Society	314
Wormhole Dynamics in Deep Neural Networks	305
Scalable Inverse Reinforcement Learning Through Multifidelity Bayesian Optimization	295
Reinforcement Learning-Based Cooperative Control for Nonlinear Multiagent System With State and Control Input Constraints and Guaranteed Convergence Performance	293
ResDNet: Efficient Dense Multi-Scale Representations With Residual Learning for High-Level Vision Tasks	288
Analytical Bounds on the Local Lipschitz Constants of ReLU Networks	279
Designing Efficient Bit-Level Sparsity-Tolerant Memristive Networks	278
Tensorizing GAN With High-Order Pooling for Alzheimer’s Disease Assessment	273
Rethinking Pretraining as a Bridge From ANNs to SNNs	271
Attention-Based Real Image Restoration	268
Simulation-Aided Handover Prediction From Video Using Recurrent Image-to-Motion Networks	266
Attribute–Topology Cross-Frequency Aligned Graph Neural Networks for Homophilic and Heterophilic Graphs in Node Classification	259
LMFE: Learning-Based Multiscale Feature Engineering in Partial Discharge Detection	258

Projective Synchronization for Uncertain Fractional Reaction-Diffusion Systems via Adaptive Sliding Mode Control Based on Finite-Time Scheme	250
Event-Triggered Synchronization of Multiple Fractional-Order Recurrent Neural Networks With Time-Varying Delays	249
Neural Architecture Search With Spatial–Spectral Attention for Higher-Order Nonlinear Hyperspectral Unmixing	246
Efficient Spiking Neural Networks With Radix Encoding	224
Semantic Consistency Reasoning for 3-D Object Detection in Point Clouds	224
Gauss–Newton Temporal Difference Learning With Nonlinear Function Approximation	221
Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning	219
On the Size and Width of the Decoder of a Boolean Threshold Autoencoder	217
Soft Sensing for Time Series With Irregular Sampling Internals Based on a Denoising Interval Attention LSTM Network	216
DigNet: Digging Clues From Local–Global Interactive Graph for Aspect-Level Sentiment Classification	215
Single-Frame-Based Deep View Synchronization for Unsynchronized Multicamera Surveillance	212
Unsupervised Skill Discovery Through Skill Regions Differentiation	210
PGFormer: A Prototype-Graph Transformer for Incomplete Multiview Clustering	209
Effective Streaming Low-Tubal-Rank Tensor Approximation via Frequent Directions	208
Multistability of Almost Periodic Solutions for Fuzzy Competitive NNs With Time-Varying Delays	207
A Novel Data Augmentation Method Based on CoralGAN for Prediction of Part Surface Roughness	205
A Weighted Heterogeneous Graph-Based Dialog System	205
Deep-Growing Neural Network With Manifold Constraints for Hyperspectral Image Classification	201
Multiview Classification Through Learning From Interval-Valued Data	201
A Hybrid CMOS-Memristor Spiking Neural Network Supporting Multiple Learning Rules	199
Butterfly Residual Network: A Hybrid Approach With Spectral Transformers and Depth-Wise Convolutions for Hyperspectral Image Super-Resolution	197
Proportional–Integral Observer-Based State Estimation for Singularly Perturbed Complex Networks With Cyberattacks	194
MUSIC: Accelerated Convergence for Distributed Optimization With Inexact and Exact Methods	194
Theoretical Advances on Stochastic Configuration Networks	194
D2Vformer: A Flexible Time-Series Prediction Model Based on Time-Position Embedding	191
Robust Symbol Detection Based on Quaternion Neural Networks in Wireless Polarization-Shift-Keying Communications	184
Interest HD: An Interest Frame Model for Recommendation Based on HD Image Generation	184
Convolution Filter Compression via Sparse Linear Combinations of Quantized Basis	184
Population Historical Information-Driven Evolutionary Multitask Neural Architecture Search	184
Empowering the Diversity and Individuality of Option: Residual Soft Option Critic Framework	177
Learning Sequential Variation Information for Dynamic Facial Expression Recognition	177
Task-Oriented Robot Cognitive Manipulation Planning Using Affordance Segmentation and Logic Reasoning	176
Consensus of Stochastic Dynamical Multiagent Systems in Directed Networks via PI Protocols	175
End-to-End Streaming Video Temporal Action Segmentation With Reinforcement Learning	174
Adaptive Event-Triggered Bipartite Formation for Multiagent Systems via Reinforcement Learning	172
S 2 FS: Spatially-Aware Separability-Driven Feature Selection in Fuzzy Decision Systems	168
Integrating Clinical Knowledge Graphs and Gradient-Based Neural Systems for Enhanced Melanoma Diagnosis via the Seven-Point Checklist	168
Exploring Dynamic Transformer for Efficient Object Tracking	166
Hierarchical Graph Convolutional Network Built by Multiscale Atlases for Brain Disorder Diagnosis Using Functional Connectivity	165
Learning Unified Anchor Graph for Joint Clustering of Hyperspectral and LiDAR Data	165
BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance	165
SCMix: Stochastic Compound Mixing for Open Compound Domain Adaptation in Semantic Segmentation	164
Source-Free Active Domain Adaptation via Augmentation-Based Sample Query and Progressive Model Adaptation	163
Modified RNN for Solving Comprehensive Sylvester Equation With TDOA Application	163
Evolving Memristive Reservoir	161
SinKD: Sinkhorn Distance Minimization for Knowledge Distillation	161
Penalizing the Hard Example But Not Too Much: A Strong Baseline for Fine-Grained Visual Classification	161
Adaptive Neural Coordinated Control for Multiple Euler-Lagrange Systems With Periodic Event-Triggered Sampling	159
Federated Generalized Face Presentation Attack Detection	157
Context-Aware Learning and Pattern Decomposition for Temporal Knowledge Graph Reasoning	157

Learning External Point-Set Context for Point Cloud Segmentation	155
Colorization-Inspired Customized Low-Light Image Enhancement by a Decoupled Network	155
Depthwise Convolution for Multi-Agent Communication With Enhanced Mean-Field Approximation	155
Improving Pretrained Language Model Fine-Tuning With Noise Stability Regularization	154
A Novel Formulation of Trace Ratio Linear Discriminant Analysis	154
Hierarchical Deep Reinforcement Learning-Based Propofol Infusion Assistant Framework in Anesthesia	153
AEVAE: Adaptive Evolutionary Autoencoder for Anomaly Detection in Time Series	153
Protecting Deep Learning Model Copyrights With Adversarial Example-Free Reuse Detection	153
Discovering Spatiotemporal–Individual Coupled Features From Nonstandard Tensors—A Novel Dynamic Graph Mixer Approach	151
Conservative Novelty Synthesizing Network for Malware Recognition in an Open-Set Scenario	150
Deep Learning and Symbolic Regression for Discovering Parametric Equations	150
A Dini-Derivative-Aided Zeroing Neural Network for Time-Variant Quadratic Programming Involving Multi-Type Constraints With Robotic Applications	149
From Cluster Assumption to Graph Convolution: Graph-Based Semi-Supervised Learning Revisited	147
MGEL: Multigrained Representation Analysis and Ensemble Learning for Text Moderation	147
A Novel Generator With Auxiliary Branch for Improving GAN Performance	147
Learning Aligned Vertex Convolutional Networks for Graph Classification	146
Interpretable Model-Driven Deep Network for Hyperspectral, Multispectral, and Panchromatic Image Fusion	146
Neural Adaptive Intermittent Output Feedback Control for Autonomous Underwater Vehicles With Full-State Quantitative Designs	146
Open Set Domain Adaptation via Joint Alignment and Category Separation	145
Adaptive Weighted Ranking-Oriented Label Distribution Learning	145
Point-DAE: Denoising Autoencoders for Self-Supervised Point Cloud Learning	144
Learning Single Spectral Abundance for Hyperspectral Subpixel Target Detection	142
Rethinking Topic Modeling With Information Bottleneck Principle	141
Exploiting Scale-Variant Attention for Segmenting Small Medical Objects	141
Subspace Clustering via Structured Sparse Relation Representation	140
Graph-Based Unsupervised Feature Selection for Interval-Valued Information System	140
Koopman-Based MPC With Learned Dynamics: Hierarchical Neural Network Approach	139
H ∞Bipartite Synchronization of Double-Layer Markov Switched Cooperation-Competition Neural Networks: A Distributed Dynamic Event-Triggered Mechanism	138
2-D Transformer: Extending Large Language Models to Long-Context With Few Memory	138
Scalable and Efficient Deep Reinforcement Learning-Based Model Checker for Computation Tree Logic	136
Domain Adaptation via Prompt Learning	136
Three-Stage Semisupervised Cross-Modal Hashing With Pairwise Relations Exploitation	136
Power Law in Deep Neural Networks: Sparse Network Generation and Continual Learning With Preferential Attachment	135
Backdoor Attacks and Countermeasures in Natural Language Processing Models: A Comprehensive Security Review	135
Efficient Linear Discriminant Analysis Based on Randomized Low-Rank Approaches	133
Neural Network Output-Feedback Consensus Fault-Tolerant Control for Nonlinear Multiagent Systems With Intermittent Actuator Faults	133
Manifold Interpolation for Large-Scale Multiobjective Optimization via Generative Adversarial Networks	131
Status-Aware Signed Heterogeneous Network Embedding With Graph Neural Networks	131
Transfer Learning-Motivated Intelligent Fault Diagnosis Designs: A Survey, Insights, and Perspectives	130
An Efficient Graph Learning System for Emotion Recognition Inspired by the Cognitive Prior Graph of EEG Brain Network	130
Granular Ball Sampling for Noisy Label Classification or Imbalanced Classification	130
Deep Learning for Visual Localization and Mapping: A Survey	129
Spectral Embedding Representation Based on Random Anchor Graph Aggregation	128
Robust and Sparse Principal Component Analysis With Adaptive Loss Minimization for Feature Selection	128
Heterogeneous Multidomain Recommender System Through Adversarial Learning	128
Local Causal Discovery in Multiple Manipulated Datasets	128
Cross-Modal Remote Sensing Image–Text Retrieval via Context and Uncertainty-Aware Prompt	128
DualGCN: Exploring Syntactic and Semantic Information for Aspect-Based Sentiment Analysis	127
Representation-Learning-Based CNN for Intelligent Attack Localization and Recovery of Cyber-Physical Power Systems	127
Self-Constructing Fuzzy Neural Fractional-Order Sliding Mode Control of Active Power Filter	126
LFT: Neural Ordinary Differential Equations With Learnable Final-Time	126
TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks	126
A Shadow Imaging Bilinear Model and Three-Branch Residual Network for Shadow Removal	126
Local Anomaly Detection for Multivariate Time Series by Temporal Dependency Based on Poisson Model	125
Spatiotemporal Transformation-Based Neural Network With Interpretable Structure for Modeling Distributed Parameter Systems	125
Inverse Reinforcement Learning for Adversarial Apprentice Games	125
Deep Reinforcement Learning for Cyber Security	124
DenseKD: Dense Knowledge Distillation by Exploiting Region and Sample Importance	124
IEEE Transactions on Neural Networks and Learning Systems Publication Information	123
IEEE Transactions on Neural Networks and Learning Systems Publication Information	123
Optimizing for In-Memory Deep Learning With Emerging Memory Technology	123
IEEE Transactions on Neural Networks and Learning Systems Information for Authors	122
Progressively Learning to Reach Remote Goals by Continuously Updating Boundary Goals	122
Similarity-Agnostic Contrastive Learning With Alterable Self-Supervision	121
TRG-Net: An Interpretable and Controllable Rain Generator	121
Combining Optimal Path Search With Task-Dependent Learning in a Neural Network	120
Skeleton-Based Human Motion Prediction With Privileged Supervision	119
Self-Supervised Deep Multiview Spectral Clustering	119
Regularization Effect of Random Node Fault/Noise on Gradient Descent Learning Algorithm	118
Accelerated Learning Control for Point-to-Point Tracking Systems	118
Reinforcement Learning From Hierarchical Critics	118
Cardinality Constrained Portfolio Optimization via Alternating Direction Method of Multipliers	118
Clinical Prompt Learning With Frozen Language Models	118
Structure-Enhanced Self-Supervised Weighted Information Bottleneck for Multiview Clustering	117
SIN: Semantic Inference Network for Few-Shot Streaming Label Learning	117
A Cross-Client Coordinator in Federated Learning Framework for Conquering Heterogeneity	117
Exponential Synchronization of Coupled Inertial Neural Networks With Hybrid Delays and Stochastic Impulses	116
A Novel Fusion and Feature Selection Framework for Multisource Time-Series Data Based on Information Entropy	115
State Estimation for Discrete Time-Delayed Impulsive Neural Networks Under Communication Constraints: A Delay-Range-Dependent Approach	115
Cosine 2DPCA With Weighted Projection Maximization	115

Explicit Margin Equilibrium for Few-Shot Object Detection	115
Privacy-Aware Data Acquisition Under Data Similarity in Regression Markets	115
Exponentially Synchronous Results for Delayed Neural Networks With Leakage Delay via Switched Delay Idea and AED-ADT Method	114
A Theoretical Insight Into the Effect of Loss Function for Deep Semantic-Preserving Learning	114
Bidirectional Probabilistic Subspaces Approximation for Multiview Clustering	114
Table of Contents	113
Inducing Neural Collapse via Anticlasses and One-Cold Cross-Entropy Loss	113
A Unified Framework Based on Graph Consensus Term for Multiview Learning	113
Exponential Stability of Impulsive Timescale-Type Nonautonomous Neural Networks With Discrete Time-Varying and Infinite Distributed Delays	113
Gait Quality Aware Network: Toward the Interpretability of Silhouette-Based Gait Recognition	112
An Interpretable Neural Control Network With Adaptable Online Learning for Sample Efficient Robot Locomotion Learning	112
Keep and Select: Improving Hierarchical Context Modeling for Multi-Turn Response Generation	112
Deep Adversarial Inconsistent Cognitive Sampling for Multiview Progressive Subspace Clustering	112
Circuit Implementation and Quasi-Stabilization of Delayed Inertial Memristor-Based Neural Networks	111
Smart Machine Vision for Universal Spatial-Mode Reconstruction	111
Learning Multi-Agent Cooperation via Considering Actions of Teammates	111
Targeted Collapse Regularized Autoencoder for Anomaly Detection: Black Hole at the Center	111
Enhancing Stability of Probabilistic Model-Based Reinforcement Learning by Adaptive Noise Filtering	110
Hierarchical Regression and Classification for Accurate Object Detection	110
Semi-Supervised Breast Lesion Segmentation Using Confidence-Ranked Features and Bi-Level Prototypes	109
On the Sufficient Condition for Solving the Gap-Filling Problem Using Deep Convolutional Neural Networks	109
Temporal Encoding and Multispike Learning Framework for Efficient Recognition of Visual Patterns	108
LoLDU: Low-Rank Adaptation via Lower-Diag-Upper Decomposition for Parameter-Efficient Fine-Tuning	108
A Novel k-Means Framework via Constrained Relaxation and Spectral Rotation	108
Complete Stability of Delayed Recurrent Neural Networks With New Wave-Type Activation Functions	108
Transformer Meets Gated Residual Networks to Enhance PICU’s PPG Artifact Detection Informed by Mutual Information Neural Estimation	107
Scale-Aware Super-Resolution Network With Dual Affinity Learning for Lesion Segmentation From Medical Images	107
Clustering Interval and Triangular Granular Data: Modeling, Execution, and Assessment	107
Causal Optimal Transport for Treatment Effect Estimation	107
Cooperative Deep Q-Learning Framework for Environments Providing Image Feedback	107
Finite-Time Passivity for Coupled Fractional-Order Neural Networks With Multistate or Multiderivative Couplings	106
GMM Enhanced Anchor-Based Spectral Clustering for Large-Scale Data	105
Escaping Stability-Plasticity Dilemma in Online Continual Learning for Motion Forecasting via Synergetic Memory Rehearsal	105
Multi-H∞ Controls for Unknown Input-Interference Nonlinear System With Reinforcement Learning	105
Biphasic Face Photo-Sketch Synthesis via Semantic-Driven Generative Adversarial Network With Graph Representation Learning	104
Uncertainty-Aware Aggregation for Federated Open Set Domain Adaptation	104
Bicriteria Sparse Nonnegative Matrix Factorization via Two-Timescale Duplex Neurodynamic Optimization	104
Learning Cross-Attention Discriminators via Alternating Time–Space Transformers for Visual Tracking	104
Dual-Channel Adaptive Scale Hypergraph Encoders With Cross-View Contrastive Learning for Knowledge Tracing	103
A Node-Collaboration-Informed Graph Convolutional Network for Highly Accurate Representation to Undirected Weighted Graph	103
Benefiting From OOD Samples in Open-Set Semi-Supervised Object Detection	103
The Optimization of Control Parameters: Finite-Time Bipartite Synchronization of Memristive Neural Networks With Multiple Time Delays via Saturation Function	103
Massive Ultrasonic Data Compression Using Wavelet Packet Transformation Optimized by Convolutional Autoencoders	103
Unsupervised Deep Tensor Network for Hyperspectral–Multispectral Image Fusion	102
Safe Adaptive Policy Transfer Reinforcement Learning for Distributed Multiagent Control	102
Progressive Spatial Information-Guided Deep Aggregation Convolutional Network for Hyperspectral Spectral Super-Resolution	102
Degradation Alignment in Remaining Useful Life Prediction Using Deep Cycle-Consistent Learning	102
Discrete-Time Signatures and Randomness in Reservoir Computing	102
Memory-Efficient Class-Incremental Learning for Image Classification	101
PPGF: Probability Pattern-Guided Time Series Forecasting	101
Data-Driven Internal Model Learning Control for Nonlinear Systems	101
Discriminative Regression With Adaptive Graph Diffusion	101
Formulating and Representing Multiagent Systems With Hypergraphs	101
Fuzzy Logic-Enhanced Neuroadaptive Fault-Tolerant Control for Vehicular Platoons With Stochastic Disturbances and Asymmetric Spacing Constraints	101
Long-Term Tracking of Evasive Urban Target Based on Intention Inference and Deep Reinforcement Learning	100
Flying Through a Narrow Gap Using End-to-End Deep Reinforcement Learning Augmented With Curriculum Learning and Sim2Real	100
Bayesian-Learning-Based Diffusion Least Mean Square Algorithms Over Networks	100
Retrieval-Augmented Few-Shot Medical Image Segmentation With Foundation Models	99
Interactive Prognosis Framework Between Deep Learning and a Stochastic Process Model for Remaining Useful Life Prediction	99
Security and Safety-Critical Learning-Based Collaborative Control for Multiagent Systems	99
Anti-Confounding Hashing: Enhancing Radiological Image Retrieval via Debiased Weighting and Counterfactual Reasoning	98
A Survey on Vision--Language--Action Models for Embodied AI	98
Multiagent Soft Actor-Critic Based Hybrid Motion Planner for Mobile Robots	98
CycleTrans: Learning Neutral Yet Discriminative Features via Cycle Construction for Visible- Infrared Person Re-Identification	98
Observer-Based NN Control for Nonlinear Systems With Full-State Constraints and External Disturbances	97
Learned Gradient Compression for Distributed Deep Learning	97
Neuroadaptive Control With Enhanced Stability and Reliability	97
An Explainable and Generalizable Recurrent Neural Network Approach for Differentiating Human Brain States on EEG Dataset	97
An Online Active Broad Learning Approach for Real-Time Safety Assessment of Dynamic Systems in Nonstationary Environments	97
Event-Triggered Communication Network With Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning	97
IEGSCL: Interaction-Enhanced Graph Neural Sequence Contrastive Learning for Microscopic Diffusion Prediction	96
Resilient Model Free Adaptive Distributed LFC for Multi-Area Power Systems Against Jamming Attacks	96
IEEE Transactions on Neural Networks and Learning Systems Information for Authors	96
Two-Time Scale Tracking Control of Flexible Robots With Primal-Dual Inverse Reinforcement Learning	95
Self-Supervised Random Forest on Transformed Distribution for Anomaly Detection	95
Novel Discrete-Time Recurrent Neural Network for Robot Manipulator: A Direct Discretization Technical Route	95
Convolutional Neural Networks for Spherical Signal Processing via Area-Regular Spherical Haar Tight Framelets	94
One-Step Multiview Clustering via Adaptive Graph Learning and Spectral Rotation	94
IronForge: An Open, Secure, Fair, Decentralized Federated Learning	94
DMESH: A Structure-Preserving Diffusion Model for 3-D Mesh Denoising	93
Hierarchical Self-Attention Network for Industrial Data Series Modeling With Different Sampling Rates Between the Input and Output Sequences	93
Further Results on Optimal Tracking Control for Nonlinear Systems With Nonzero Equilibrium via Adaptive Dynamic Programming	93
An Improved Non-Negative Latent Factor Model for Missing Data Estimation via Extragradient-Based Alternating Direction Method	93
Robust PID-Type Iterative Learning Control for Nonlinear Square and Nonsquare Systems	92
Fully Complex-Valued Dendritic Neuron Model	92
PicassoNet: Searching Adaptive Architecture for Efficient Facial Landmark Localization	92
Token-Bucket-Protocol-Based Recursive Remote State Estimation for Complex Networks Under Amplify-and-Forward Relays	92
GBRS: A Unified Granular-Ball Learning Model of Pawlak Rough Set and Neighborhood Rough Set	91
GBFRS: Robust Fuzzy Rough Sets via Granular Ball Computing	91
Spatiotemporal Decouple-and-Squeeze Contrastive Learning for Semisupervised Skeleton-Based Action Recognition	91
Exponential Asynchronous Stabilization for Delayed Semi-Markovian Neural Networks via DAEIC	90
Random Orthogonal Additive Filters: A Solution to the Vanishing/Exploding Gradient of Deep Neural Networks	90
Safety-Critical Containment Maneuvering of Underactuated Autonomous Surface Vehicles Based on Neurodynamic Optimization With Control Barrier Functions	90
An Inexact Sequential Quadratic Programming Method for Learning and Control of Recurrent Neural Networks	90
SAM-Med3D: A Vision Foundation Model for General-Purpose Segmentation on Volumetric Medical Images	90