IEEE Transactions on Neural Networks and Learning Systems

Article	Citations
IEEE Transactions on Neural Networks and Learning Systems Information for Authors	4136
Table of Contents	1001
IEEE Computational Intelligence Society Information	840
Altruistic Collaborative Learning	738
Local Causal Discovery in Multiple Manipulated Datasets	629
Convolution Filter Compression via Sparse Linear Combinations of Quantized Basis	610
Efficient Approximations for Matrix-Based Rényi’s Entropy on Sequential Data	479
Empowering the Diversity and Individuality of Option: Residual Soft Option Critic Framework	447
2-D Transformer: Extending Large Language Models to Long-Context With Few Memory	427
Neuro-Optimal Event-Triggered Impulsive Control for Stochastic Systems via ADP	427
Achieving Sharp Upper Bounds on the Expressive Power of Neural Networks via Tropical Polynomials	407
Variable Gain Impulsive Synchronization for Discrete-Time Delayed Neural Networks and Its Application in Digital Secure Communication	396
Visual Reinforcement Learning Control With Instance-Reweighted Alignment and Instance-Dimension Uniformity	370
Protecting Deep Learning Model Copyrights With Adversarial Example-Free Reuse Detection	337
Stochastically Controlled Compositional Gradient for Composition Problems	300
Underexposed Image Correction via Hybrid Priors Navigated Deep Propagation	292
A Distributed Proximal Consensus Algorithm for Energy Saving in Ethylene Production	286
IEEE Computational Intelligence Society	285
Population Historical Information-Driven Evolutionary Multitask Neural Architecture Search	271
Wormhole Dynamics in Deep Neural Networks	267
Scalable Inverse Reinforcement Learning Through Multifidelity Bayesian Optimization	266
Interest HD: An Interest Frame Model for Recommendation Based on HD Image Generation	264
Reinforcement Learning-Based Cooperative Control for Nonlinear Multiagent System With State and Control Input Constraints and Guaranteed Convergence Performance	258
Task-Oriented Robot Cognitive Manipulation Planning Using Affordance Segmentation and Logic Reasoning	255
A Novel Generator With Auxiliary Branch for Improving GAN Performance	254

Local Anomaly Detection for Multivariate Time Series by Temporal Dependency Based on Poisson Model	243
LFT: Neural Ordinary Differential Equations With Learnable Final-Time	239
AEVAE: Adaptive Evolutionary Autoencoder for Anomaly Detection in Time Series	235
ResDNet: Efficient Dense Multi-Scale Representations With Residual Learning for High-Level Vision Tasks	235
SCMix: Stochastic Compound Mixing for Open Compound Domain Adaptation in Semantic Segmentation	234
Power Law in Deep Neural Networks: Sparse Network Generation and Continual Learning With Preferential Attachment	232
Subspace Clustering via Structured Sparse Relation Representation	227
Deep Learning and Symbolic Regression for Discovering Parametric Equations	226
Neural Adaptive Intermittent Output Feedback Control for Autonomous Underwater Vehicles With Full-State Quantitative Designs	218
Analytical Bounds on the Local Lipschitz Constants of ReLU Networks	217
Parameterized Luenberger-TypeH∞State Estimator for Delayed Static Neural Networks	214
Spatiotemporal Transformation-Based Neural Network With Interpretable Structure for Modeling Distributed Parameter Systems	211
Evolving Memristive Reservoir	208
DualGCN: Exploring Syntactic and Semantic Information for Aspect-Based Sentiment Analysis	208
Colorization-Inspired Customized Low-Light Image Enhancement by a Decoupled Network	206
A Novel Formulation of Trace Ratio Linear Discriminant Analysis	205
Efficient Linear Discriminant Analysis Based on Randomized Low-Rank Approaches	199
Source-Free Active Domain Adaptation via Augmentation-Based Sample Query and Progressive Model Adaptation	196
Designing Efficient Bit-Level Sparsity-Tolerant Memristive Networks	196
Scalable and Efficient Deep Reinforcement Learning-Based Model Checker for Computation Tree Logic	194
H ∞Bipartite Synchronization of Double-Layer Markov Switched Cooperation-Competition Neural Networks: A Distributed Dynamic Event-Triggered Mechanism	192
Tensorizing GAN With High-Order Pooling for Alzheimer’s Disease Assessment	187
End-to-End Streaming Video Temporal Action Segmentation With Reinforcement Learning	186
Rethinking Pretraining as a Bridge From ANNs to SNNs	185
Attention-Based Real Image Restoration	183
Depthwise Convolution for Multi-Agent Communication With Enhanced Mean-Field Approximation	181
Learning Aligned Vertex Convolutional Networks for Graph Classification	181
Simulation-Aided Handover Prediction From Video Using Recurrent Image-to-Motion Networks	178
Attribute–Topology Cross-Frequency Aligned Graph Neural Networks for Homophilic and Heterophilic Graphs in Node Classification	177
Spectral Embedding Representation Based on Random Anchor Graph Aggregation	177
S 2 FS: Spatially-Aware Separability-Driven Feature Selection in Fuzzy Decision Systems	177
Rethinking Topic Modeling With Information Bottleneck Principle	176
LMFE: Learning-Based Multiscale Feature Engineering in Partial Discharge Detection	176
A Study on Truncated Newton Methods for Linear Classification	175
From Cluster Assumption to Graph Convolution: Graph-Based Semi-Supervised Learning Revisited	174
Projective Synchronization for Uncertain Fractional Reaction-Diffusion Systems via Adaptive Sliding Mode Control Based on Finite-Time Scheme	173
Agglomerative Neural Networks for Multiview Clustering	173
Neural Architecture Search With Spatial–Spectral Attention for Higher-Order Nonlinear Hyperspectral Unmixing	170
Event-Triggered Synchronization of Multiple Fractional-Order Recurrent Neural Networks With Time-Varying Delays	170
Consensus of Stochastic Dynamical Multiagent Systems in Directed Networks via PI Protocols	169
Efficient Spiking Neural Networks With Radix Encoding	164
Discovering Spatiotemporal–Individual Coupled Features From Nonstandard Tensors—A Novel Dynamic Graph Mixer Approach	163
Adaptive Weighted Ranking-Oriented Label Distribution Learning	161
SinKD: Sinkhorn Distance Minimization for Knowledge Distillation	161
Semantic Consistency Reasoning for 3-D Object Detection in Point Clouds	159
Gauss–Newton Temporal Difference Learning With Nonlinear Function Approximation	159
On the Size and Width of the Decoder of a Boolean Threshold Autoencoder	158
Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning	158
Soft Sensing for Time Series With Irregular Sampling Internals Based on a Denoising Interval Attention LSTM Network	158
DigNet: Digging Clues From Local–Global Interactive Graph for Aspect-Level Sentiment Classification	157

Single-Frame-Based Deep View Synchronization for Unsynchronized Multicamera Surveillance	156
Adaptive Event-Triggered Bipartite Formation for Multiagent Systems via Reinforcement Learning	152
Heterogeneous Multidomain Recommender System Through Adversarial Learning	152
Unsupervised Skill Discovery Through Skill Regions Differentiation	152
Penalizing the Hard Example But Not Too Much: A Strong Baseline for Fine-Grained Visual Classification	152
Hierarchical Deep Reinforcement Learning-Based Propofol Infusion Assistant Framework in Anesthesia	149
PGFormer: A Prototype-Graph Transformer for Incomplete Multiview Clustering	149
Improving Pretrained Language Model Fine-Tuning With Noise Stability Regularization	148
Robust and Sparse Principal Component Analysis With Adaptive Loss Minimization for Feature Selection	148
Effective Streaming Low-Tubal-Rank Tensor Approximation via Frequent Directions	146
An Efficient Graph Learning System for Emotion Recognition Inspired by the Cognitive Prior Graph of EEG Brain Network	143
Multistability of Almost Periodic Solutions for Fuzzy Competitive NNs With Time-Varying Delays	143
Open Set Domain Adaptation via Joint Alignment and Category Separation	142
Federated Generalized Face Presentation Attack Detection	141
A Weighted Heterogeneous Graph-Based Dialog System	140
A Novel Data Augmentation Method Based on CoralGAN for Prediction of Part Surface Roughness	140
Interpretable Model-Driven Deep Network for Hyperspectral, Multispectral, and Panchromatic Image Fusion	140
Learning Unified Anchor Graph for Joint Clustering of Hyperspectral and LiDAR Data	140
Multiview Classification Through Learning From Interval-Valued Data	138
Learning Sequential Variation Information for Dynamic Facial Expression Recognition	138
Deep-Growing Neural Network With Manifold Constraints for Hyperspectral Image Classification	138
MGEL: Multigrained Representation Analysis and Ensemble Learning for Text Moderation	137
A Hybrid CMOS-Memristor Spiking Neural Network Supporting Multiple Learning Rules	137
Exploring Dynamic Transformer for Efficient Object Tracking	136
Three-Stage Semisupervised Cross-Modal Hashing With Pairwise Relations Exploitation	136
Representation-Learning-Based CNN for Intelligent Attack Localization and Recovery of Cyber-Physical Power Systems	136
Point-DAE: Denoising Autoencoders for Self-Supervised Point Cloud Learning	136
D2Vformer: A Flexible Time-Series Prediction Model Based on Time-Position Embedding	135
Context-Aware Learning and Pattern Decomposition for Temporal Knowledge Graph Reasoning	134
Butterfly Residual Network: A Hybrid Approach With Spectral Transformers and Depth-Wise Convolutions for Hyperspectral Image Super-Resolution	134
Automated Anomaly Detection via Curiosity-Guided Search and Self-Imitation Learning	133
Proportional–Integral Observer-Based State Estimation for Singularly Perturbed Complex Networks With Cyberattacks	133
Manifold Interpolation for Large-Scale Multiobjective Optimization via Generative Adversarial Networks	132
Cross-Modal Remote Sensing Image–Text Retrieval via Context and Uncertainty-Aware Prompt	131
Integrating Clinical Knowledge Graphs and Gradient-Based Neural Systems for Enhanced Melanoma Diagnosis via the Seven-Point Checklist	131
Modified RNN for Solving Comprehensive Sylvester Equation With TDOA Application	129
Koopman-Based MPC With Learned Dynamics: Hierarchical Neural Network Approach	128
BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance	128
Learning Single Spectral Abundance for Hyperspectral Subpixel Target Detection	127
A Dini-Derivative-Aided Zeroing Neural Network for Time-Variant Quadratic Programming Involving Multi-Type Constraints With Robotic Applications	126
Robust Symbol Detection Based on Quaternion Neural Networks in Wireless Polarization-Shift-Keying Communications	126
Neural Network Output-Feedback Consensus Fault-Tolerant Control for Nonlinear Multiagent Systems With Intermittent Actuator Faults	126
A Shadow Imaging Bilinear Model and Three-Branch Residual Network for Shadow Removal	125
Exploiting Scale-Variant Attention for Segmenting Small Medical Objects	124
Inverse Reinforcement Learning for Adversarial Apprentice Games	124
Deep Learning for Visual Localization and Mapping: A Survey	123
Status-Aware Signed Heterogeneous Network Embedding With Graph Neural Networks	123
Self-Constructing Fuzzy Neural Fractional-Order Sliding Mode Control of Active Power Filter	123
Granular Ball Sampling for Noisy Label Classification or Imbalanced Classification	123
Graph-Based Unsupervised Feature Selection for Interval-Valued Information System	122
Backdoor Attacks and Countermeasures in Natural Language Processing Models: A Comprehensive Security Review	122
TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks	122
Transfer Learning-Motivated Intelligent Fault Diagnosis Designs: A Survey, Insights, and Perspectives	121
Adaptive Neural Coordinated Control for Multiple Euler-Lagrange Systems With Periodic Event-Triggered Sampling	121
Deep Reinforcement Learning for Cyber Security	121
DenseKD: Dense Knowledge Distillation by Exploiting Region and Sample Importance	120
Domain Adaptation via Prompt Learning	119
Hierarchical Graph Convolutional Network Built by Multiscale Atlases for Brain Disorder Diagnosis Using Functional Connectivity	119
Optimizing for In-Memory Deep Learning With Emerging Memory Technology	119
Conservative Novelty Synthesizing Network for Malware Recognition in an Open-Set Scenario	119
MUSIC: Accelerated Convergence for Distributed Optimization With Inexact and Exact Methods	119
IEEE Transactions on Neural Networks and Learning Systems Publication Information	119
Theoretical Advances on Stochastic Configuration Networks	119
IEEE Transactions on Neural Networks and Learning Systems Publication Information	119
IEEE Transactions on Neural Networks and Learning Systems Information for Authors	117
Progressively Learning to Reach Remote Goals by Continuously Updating Boundary Goals	117
Similarity-Agnostic Contrastive Learning With Alterable Self-Supervision	116
Combining Optimal Path Search With Task-Dependent Learning in a Neural Network	116
TRG-Net: An Interpretable and Controllable Rain Generator	116
Reinforcement Learning From Hierarchical Critics	115
Resilient Model Free Adaptive Distributed LFC for Multi-Area Power Systems Against Jamming Attacks	115
Self-Supervised Deep Multiview Spectral Clustering	115
Skeleton-Based Human Motion Prediction With Privileged Supervision	115
Regularization Effect of Random Node Fault/Noise on Gradient Descent Learning Algorithm	115
Clinical Prompt Learning With Frozen Language Models	115
Retrieval-Augmented Few-Shot Medical Image Segmentation With Foundation Models	114
Formulating and Representing Multiagent Systems With Hypergraphs	113
An Online Active Broad Learning Approach for Real-Time Safety Assessment of Dynamic Systems in Nonstationary Environments	113
Cardinality Constrained Portfolio Optimization via Alternating Direction Method of Multipliers	113
Fully Complex-Valued Dendritic Neuron Model	113

Generalized Subspace Coupling Approach for Robust Low-Tubal-Rank Tensor Completion	113
Neuroadaptive Control With Enhanced Stability and Reliability	113
An Inexact Sequential Quadratic Programming Method for Learning and Control of Recurrent Neural Networks	113
PPGF: Probability Pattern-Guided Time Series Forecasting	112
Accelerated Learning Control for Point-to-Point Tracking Systems	112
An Improved Non-Negative Latent Factor Model for Missing Data Estimation via Extragradient-Based Alternating Direction Method	112
Structure-Enhanced Self-Supervised Weighted Information Bottleneck for Multiview Clustering	111
Dual-Channel Adaptive Scale Hypergraph Encoders With Cross-View Contrastive Learning for Knowledge Tracing	111
DMESH: A Structure-Preserving Diffusion Model for 3-D Mesh Denoising	111
An Explainable and Generalizable Recurrent Neural Network Approach for Differentiating Human Brain States on EEG Dataset	111
A Cross-Client Coordinator in Federated Learning Framework for Conquering Heterogeneity	111
SIN: Semantic Inference Network for Few-Shot Streaming Label Learning	111
Hierarchical Self-Attention Network for Industrial Data Series Modeling With Different Sampling Rates Between the Input and Output Sequences	110
Exponential Synchronization of Coupled Inertial Neural Networks With Hybrid Delays and Stochastic Impulses	110
Explicit Margin Equilibrium for Few-Shot Object Detection	109
Bicriteria Sparse Nonnegative Matrix Factorization via Two-Timescale Duplex Neurodynamic Optimization	109
State Estimation for Discrete Time-Delayed Impulsive Neural Networks Under Communication Constraints: A Delay-Range-Dependent Approach	108
Learned Gradient Compression for Distributed Deep Learning	107
Fuzzy Logic-Enhanced Neuroadaptive Fault-Tolerant Control for Vehicular Platoons With Stochastic Disturbances and Asymmetric Spacing Constraints	107
Degradation Alignment in Remaining Useful Life Prediction Using Deep Cycle-Consistent Learning	107
Robust PID-Type Iterative Learning Control for Nonlinear Square and Nonsquare Systems	107
Learning Cross-Attention Discriminators via Alternating Time–Space Transformers for Visual Tracking	107
Cosine 2DPCA With Weighted Projection Maximization	106
Discrete-Time Signatures and Randomness in Reservoir Computing	106
Privacy-Aware Data Acquisition Under Data Similarity in Regression Markets	106
Safe Adaptive Policy Transfer Reinforcement Learning for Distributed Multiagent Control	106
Scale-Aware Super-Resolution Network With Dual Affinity Learning for Lesion Segmentation From Medical Images	105
A Novel Fusion and Feature Selection Framework for Multisource Time-Series Data Based on Information Entropy	105
Further Results on Optimal Tracking Control for Nonlinear Systems With Nonzero Equilibrium via Adaptive Dynamic Programming	104
A Theoretical Insight Into the Effect of Loss Function for Deep Semantic-Preserving Learning	104
Exponentially Synchronous Results for Delayed Neural Networks With Leakage Delay via Switched Delay Idea and AED-ADT Method	104
Bidirectional Probabilistic Subspaces Approximation for Multiview Clustering	104
A Node-Collaboration-Informed Graph Convolutional Network for Highly Accurate Representation to Undirected Weighted Graph	104
CycleTrans: Learning Neutral Yet Discriminative Features via Cycle Construction for Visible- Infrared Person Re-Identification	102
Multi-H∞ Controls for Unknown Input-Interference Nonlinear System With Reinforcement Learning	102
The Optimization of Control Parameters: Finite-Time Bipartite Synchronization of Memristive Neural Networks With Multiple Time Delays via Saturation Function	102
Convolutional Neural Networks for Spherical Signal Processing via Area-Regular Spherical Haar Tight Framelets	101
Table of Contents	101
Data-Driven Internal Model Learning Control for Nonlinear Systems	101
Novel Discrete-Time Recurrent Neural Network for Robot Manipulator: A Direct Discretization Technical Route	101
A Unified Framework Based on Graph Consensus Term for Multiview Learning	101
Exponential Stability of Impulsive Timescale-Type Nonautonomous Neural Networks With Discrete Time-Varying and Infinite Distributed Delays	101
GMM Enhanced Anchor-Based Spectral Clustering for Large-Scale Data	100
Keep and Select: Improving Hierarchical Context Modeling for Multi-Turn Response Generation	100
Inducing Neural Collapse via Anticlasses and One-Cold Cross-Entropy Loss	100
Flying Through a Narrow Gap Using End-to-End Deep Reinforcement Learning Augmented With Curriculum Learning and Sim2Real	99
An Interpretable Neural Control Network With Adaptable Online Learning for Sample Efficient Robot Locomotion Learning	99
Finite-Time Passivity for Coupled Fractional-Order Neural Networks With Multistate or Multiderivative Couplings	99
Two-Time Scale Tracking Control of Flexible Robots With Primal-Dual Inverse Reinforcement Learning	99
Security and Safety-Critical Learning-Based Collaborative Control for Multiagent Systems	98
Spatiotemporal Decouple-and-Squeeze Contrastive Learning for Semisupervised Skeleton-Based Action Recognition	98
Discriminative Regression With Adaptive Graph Diffusion	98
A Survey on Vision–Language–Action Models for Embodied AI	97
Gait Quality Aware Network: Toward the Interpretability of Silhouette-Based Gait Recognition	97
Token-Bucket-Protocol-Based Recursive Remote State Estimation for Complex Networks Under Amplify-and-Forward Relays	97
Deep Adversarial Inconsistent Cognitive Sampling for Multiview Progressive Subspace Clustering	97
Dual Parallel Policy Iteration With Coupled Policy Improvement	97
Circuit Implementation and Quasi-Stabilization of Delayed Inertial Memristor-Based Neural Networks	96
Multiple Guidance Network for Industrial Product Surface Inspection With One Labeled Target Sample	96
SNN-FT: Temporal-Coded Spiking Neural Networks for Fourier Transform	96
Memory-Efficient Class-Incremental Learning for Image Classification	96
GBFRS: Robust Fuzzy Rough Sets via Granular Ball Computing	96
Random Orthogonal Additive Filters: A Solution to the Vanishing/Exploding Gradient of Deep Neural Networks	96
GBRS: A Unified Granular-Ball Learning Model of Pawlak Rough Set and Neighborhood Rough Set	95
Interactive Prognosis Framework Between Deep Learning and a Stochastic Process Model for Remaining Useful Life Prediction	95
Targeted Collapse Regularized Autoencoder for Anomaly Detection: Black Hole at the Center	94
Smart Machine Vision for Universal Spatial-Mode Reconstruction	94
On the Sufficient Condition for Solving the Gap-Filling Problem Using Deep Convolutional Neural Networks	93
Enhancing Stability of Probabilistic Model-Based Reinforcement Learning by Adaptive Noise Filtering	93
Anti-Confounding Hashing: Enhancing Radiological Image Retrieval via Debiased Weighting and Counterfactual Reasoning	93
Hierarchical Regression and Classification for Accurate Object Detection	93
Observer-Based NN Control for Nonlinear Systems With Full-State Constraints and External Disturbances	93
Clustering Interval and Triangular Granular Data: Modeling, Execution, and Assessment	92
Temporal Encoding and Multispike Learning Framework for Efficient Recognition of Visual Patterns	92
Long-Term Tracking of Evasive Urban Target Based on Intention Inference and Deep Reinforcement Learning	92
Exponential Asynchronous Stabilization for Delayed Semi-Markovian Neural Networks via DAEIC	92
Semi-Supervised Breast Lesion Segmentation Using Confidence-Ranked Features and Bi-Level Prototypes	92
Uncertainty-Aware Aggregation for Federated Open Set Domain Adaptation	92
A Novel k-Means Framework via Constrained Relaxation and Spectral Rotation	91
IEGSCL: Interaction-Enhanced Graph Neural Sequence Contrastive Learning for Microscopic Diffusion Prediction	90
LoLDU: Low-Rank Adaptation via Lower-Diag-Upper Decomposition for Parameter-Efficient Fine-Tuning	90
Transformer Meets Gated Residual Networks to Enhance PICU’s PPG Artifact Detection Informed by Mutual Information Neural Estimation	89
Cooperative Deep Q-Learning Framework for Environments Providing Image Feedback	89
Complete Stability of Delayed Recurrent Neural Networks With New Wave-Type Activation Functions	89
Biphasic Face Photo-Sketch Synthesis via Semantic-Driven Generative Adversarial Network With Graph Representation Learning	89
PicassoNet: Searching Adaptive Architecture for Efficient Facial Landmark Localization	88
Reverse Graph Learning for Graph Neural Network	88
Causal Optimal Transport for Treatment Effect Estimation	88
Self-Supervised Random Forest on Transformed Distribution for Anomaly Detection	88
Safety-Critical Containment Maneuvering of Underactuated Autonomous Surface Vehicles Based on Neurodynamic Optimization With Control Barrier Functions	87
Progressive Spatial Information-Guided Deep Aggregation Convolutional Network for Hyperspectral Spectral Super-Resolution	87
Massive Ultrasonic Data Compression Using Wavelet Packet Transformation Optimized by Convolutional Autoencoders	87
IronForge: An Open, Secure, Fair, Decentralized Federated Learning	87
SAM-Med3D: A Vision Foundation Model for General-Purpose Segmentation on Volumetric Medical Images	87
Learning Multi-Agent Cooperation via Considering Actions of Teammates	87