IEEE Transactions on Neural Networks and Learning Systems

Article	Citations
IEEE Transactions on Neural Networks and Learning Systems Information for Authors	4034
Table of Contents	980
IEEE Computational Intelligence Society Information	822
Altruistic Collaborative Learning	699
Deep-Growing Neural Network With Manifold Constraints for Hyperspectral Image Classification	601
Local Causal Discovery in Multiple Manipulated Datasets	600
Visual Reinforcement Learning Control With Instance-Reweighted Alignment and Instance-Dimension Uniformity	464
Protecting Deep Learning Model Copyrights With Adversarial Example-Free Reuse Detection	440
Stochastically Controlled Compositional Gradient for Composition Problems	414
Underexposed Image Correction via Hybrid Priors Navigated Deep Propagation	413
A Distributed Proximal Consensus Algorithm for Energy Saving in Ethylene Production	390
Open Set Domain Adaptation via Joint Alignment and Category Separation	383
A Weighted Heterogeneous Graph-Based Dialog System	355
IEEE Computational Intelligence Society	329
Agglomerative Neural Networks for Multiview Clustering	294
Attribute–Topology Cross-Frequency Aligned Graph Neural Networks for Homophilic and Heterophilic Graphs in Node Classification	284
S 2 FS: Spatially-Aware Separability-Driven Feature Selection in Fuzzy Decision Systems	284
Rethinking Topic Modeling With Information Bottleneck Principle	279
Depthwise Convolution for Multi-Agent Communication With Enhanced Mean-Field Approximation	266
Simulation-Aided Handover Prediction From Video Using Recurrent Image-to-Motion Networks	264
A Novel Data Augmentation Method Based on CoralGAN for Prediction of Part Surface Roughness	262
Neural Architecture Search With Spatial–Spectral Attention for Higher-Order Nonlinear Hyperspectral Unmixing	256
Event-Triggered Synchronization of Multiple Fractional-Order Recurrent Neural Networks With Time-Varying Delays	255
Spectral Embedding Representation Based on Random Anchor Graph Aggregation	252
A Study on Truncated Newton Methods for Linear Classification	248

Scalable Inverse Reinforcement Learning Through Multifidelity Bayesian Optimization	233
LFT: Neural Ordinary Differential Equations With Learnable Final-Time	233
Integrating Clinical Knowledge Graphs and Gradient-Based Neural Systems for Enhanced Melanoma Diagnosis via the Seven-Point Checklist	231
Manifold Interpolation for Large-Scale Multiobjective Optimization via Generative Adversarial Networks	229
Proportional–Integral Observer-Based State Estimation for Singularly Perturbed Complex Networks With Cyberattacks	229
Reinforcement Learning-Based Cooperative Control for Nonlinear Multiagent System With State and Control Input Constraints and Guaranteed Convergence Performance	227
Interest HD: An Interest Frame Model for Recommendation Based on HD Image Generation	221
Learning Unified Anchor Graph for Joint Clustering of Hyperspectral and LiDAR Data	217
Modified RNN for Solving Comprehensive Sylvester Equation With TDOA Application	216
Theoretical Advances on Stochastic Configuration Networks	215
Attention-Based Real Image Restoration	212
Learning Aligned Vertex Convolutional Networks for Graph Classification	209
Convolution Filter Compression via Sparse Linear Combinations of Quantized Basis	205
Efficient Approximations for Matrix-Based Rényi’s Entropy on Sequential Data	200
Variable Gain Impulsive Synchronization for Discrete-Time Delayed Neural Networks and Its Application in Digital Secure Communication	200
Context-Aware Learning and Pattern Decomposition for Temporal Knowledge Graph Reasoning	200
Achieving Sharp Upper Bounds on the Expressive Power of Neural Networks via Tropical Polynomials	198
Backdoor Attacks and Countermeasures in Natural Language Processing Models: A Comprehensive Security Review	190
LMFE: Learning-Based Multiscale Feature Engineering in Partial Discharge Detection	190
Three-Stage Semisupervised Cross-Modal Hashing With Pairwise Relations Exploitation	188
BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance	187
A Novel Formulation of Trace Ratio Linear Discriminant Analysis	185
Evolving Memristive Reservoir	183
Granular Ball Sampling for Noisy Label Classification or Imbalanced Classification	183
Learning Single Spectral Abundance for Hyperspectral Subpixel Target Detection	177
Interpretable Model-Driven Deep Network for Hyperspectral, Multispectral, and Panchromatic Image Fusion	174
DualGCN: Exploring Syntactic and Semantic Information for Aspect-Based Sentiment Analysis	173
Discovering Spatiotemporal–Individual Coupled Features From Nonstandard Tensors—A Novel Dynamic Graph Mixer Approach	173
Hierarchical Graph Convolutional Network Built by Multiscale Atlases for Brain Disorder Diagnosis Using Functional Connectivity	173
Source-Free Active Domain Adaptation via Augmentation-Based Sample Query and Progressive Model Adaptation	172
A Dini-Derivative-Aided Zeroing Neural Network for Time-Variant Quadratic Programming Involving Multi-Type Constraints With Robotic Applications	172
A Shadow Imaging Bilinear Model and Three-Branch Residual Network for Shadow Removal	172
End-to-End Streaming Video Temporal Action Segmentation With Reinforcement Learning	172
Rethinking Pretraining as a Bridge From ANNs to SNNs	170
TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks	169
Representation-Learning-Based CNN for Intelligent Attack Localization and Recovery of Cyber-Physical Power Systems	169
Improving Pretrained Language Model Fine-Tuning With Noise Stability Regularization	166
Scalable and Efficient Deep Reinforcement Learning-Based Model Checker for Computation Tree Logic	166
H ∞Bipartite Synchronization of Double-Layer Markov Switched Cooperation-Competition Neural Networks: A Distributed Dynamic Event-Triggered Mechanism	165
Exploiting Scale-Variant Attention for Segmenting Small Medical Objects	164
Colorization-Inspired Customized Low-Light Image Enhancement by a Decoupled Network	163
Efficient Linear Discriminant Analysis Based on Randomized Low-Rank Approaches	163
Learning Sequential Variation Information for Dynamic Facial Expression Recognition	162
From Cluster Assumption to Graph Convolution: Graph-Based Semi-Supervised Learning Revisited	159
Robust and Sparse Principal Component Analysis With Adaptive Loss Minimization for Feature Selection	158
Transfer Learning-Motivated Intelligent Fault Diagnosis Designs: A Survey, Insights, and Perspectives	155
Koopman-Based MPC With Learned Dynamics: Hierarchical Neural Network Approach	155
Projective Synchronization for Uncertain Fractional Reaction-Diffusion Systems via Adaptive Sliding Mode Control Based on Finite-Time Scheme	154
Chain-Structure Echo State Network With Stochastic Optimization: Methodology and Application	154
Self-Constructing Fuzzy Neural Fractional-Order Sliding Mode Control of Active Power Filter	153

Tensorizing GAN With High-Order Pooling for Alzheimer’s Disease Assessment	152
Spatiotemporal Transformation-Based Neural Network With Interpretable Structure for Modeling Distributed Parameter Systems	150
Designing Efficient Bit-Level Sparsity-Tolerant Memristive Networks	150
Consensus of Stochastic Dynamical Multiagent Systems in Directed Networks via PI Protocols	149
Exploring Dynamic Transformer for Efficient Object Tracking	148
Efficient Spiking Neural Networks With Radix Encoding	147
Neural Network Output-Feedback Consensus Fault-Tolerant Control for Nonlinear Multiagent Systems With Intermittent Actuator Faults	146
Adaptive Weighted Ranking-Oriented Label Distribution Learning	146
Deep Reinforcement Learning for Cyber Security	146
Soft Sensing for Time Series With Irregular Sampling Internals Based on a Denoising Interval Attention LSTM Network	144
Robust Symbol Detection Based on Quaternion Neural Networks in Wireless Polarization-Shift-Keying Communications	144
Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning	142
Point-DAE: Denoising Autoencoders for Self-Supervised Point Cloud Learning	140
On the Size and Width of the Decoder of a Boolean Threshold Autoencoder	139
Population Historical Information-Driven Evolutionary Multitask Neural Architecture Search	137
DigNet: Digging Clues From Local–Global Interactive Graph for Aspect-Level Sentiment Classification	137
Wormhole Dynamics in Deep Neural Networks	137
Effective Streaming Low-Tubal-Rank Tensor Approximation via Frequent Directions	137
Empowering the Diversity and Individuality of Option: Residual Soft Option Critic Framework	136
2-D Transformer: Extending Large Language Models to Long-Context With Few Memory	136
Multistability of Almost Periodic Solutions for Fuzzy Competitive NNs With Time-Varying Delays	136
Neuro-Optimal Event-Triggered Impulsive Control for Stochastic Systems via ADP	135
Task-Oriented Robot Cognitive Manipulation Planning Using Affordance Segmentation and Logic Reasoning	134
AEVAE: Adaptive Evolutionary Autoencoder for Anomaly Detection in Time Series	134
SCMix: Stochastic Compound Mixing for Open Compound Domain Adaptation in Semantic Segmentation	133
Local Anomaly Detection for Multivariate Time Series by Temporal Dependency Based on Poisson Model	133
A Novel Generator With Auxiliary Branch for Improving GAN Performance	132
D2Vformer: A Flexible Time-Series Prediction Model Based on Time-Position Embedding	132
Adaptive Neural Coordinated Control for Multiple Euler-Lagrange Systems With Periodic Event-Triggered Sampling	132
Power Law in Deep Neural Networks: Sparse Network Generation and Continual Learning With Preferential Attachment	131
ResDNet: Efficient Dense Multi-Scale Representations With Residual Learning for High-Level Vision Tasks	131
MUSIC: Accelerated Convergence for Distributed Optimization With Inexact and Exact Methods	129
Deep Learning and Symbolic Regression for Discovering Parametric Equations	128
Semantic Consistency Reasoning for 3-D Object Detection in Point Clouds	128
DenseKD: Dense Knowledge Distillation by Exploiting Region and Sample Importance	127
Gauss–Newton Temporal Difference Learning With Nonlinear Function Approximation	126
Penalizing the Hard Example But Not Too Much: A Strong Baseline for Fine-Grained Visual Classification	125
Conservative Novelty Synthesizing Network for Malware Recognition in an Open-Set Scenario	125
Automated Anomaly Detection via Curiosity-Guided Search and Self-Imitation Learning	125
SinKD: Sinkhorn Distance Minimization for Knowledge Distillation	125
Multiview Classification Through Learning From Interval-Valued Data	124
Graph-Based Unsupervised Feature Selection for Interval-Valued Information System	124
PGFormer: A Prototype-Graph Transformer for Incomplete Multiview Clustering	123
Status-Aware Signed Heterogeneous Network Embedding With Graph Neural Networks	123
Butterfly Residual Network: A Hybrid Approach With Spectral Transformers and Depth-Wise Convolutions for Hyperspectral Image Super-Resolution	122
Neural Adaptive Intermittent Output Feedback Control for Autonomous Underwater Vehicles With Full-State Quantitative Designs	122
Parameterized Luenberger-TypeH∞State Estimator for Delayed Static Neural Networks	122
MGEL: Multigrained Representation Analysis and Ensemble Learning for Text Moderation	121
A Hybrid CMOS-Memristor Spiking Neural Network Supporting Multiple Learning Rules	120
Heterogeneous Multidomain Recommender System Through Adversarial Learning	119
Single-Frame-Based Deep View Synchronization for Unsynchronized Multicamera Surveillance	119
Unsupervised Skill Discovery Through Skill Regions Differentiation	119
Hierarchical Deep Reinforcement Learning-Based Propofol Infusion Assistant Framework in Anesthesia	118
Federated Generalized Face Presentation Attack Detection	117
Analytical Bounds on the Local Lipschitz Constants of ReLU Networks	117
Adaptive Event-Triggered Bipartite Formation for Multiagent Systems via Reinforcement Learning	117
Subspace Clustering via Structured Sparse Relation Representation	117
Cross-Modal Remote Sensing Image–Text Retrieval via Context and Uncertainty-Aware Prompt	116
Deep Learning for Visual Localization and Mapping: A Survey	116
Inverse Reinforcement Learning for Adversarial Apprentice Games	116
Domain Adaptation via Prompt Learning	116
Optimizing for In-Memory Deep Learning With Emerging Memory Technology	115
An Efficient Graph Learning System for Emotion Recognition Inspired by the Cognitive Prior Graph of EEG Brain Network	115
IEEE Transactions on Neural Networks and Learning Systems Information for Authors	115
IEEE Transactions on Neural Networks and Learning Systems Publication Information	115
Progressively Learning to Reach Remote Goals by Continuously Updating Boundary Goals	115
IEEE Transactions on Neural Networks and Learning Systems Publication Information	115
Similarity-Agnostic Contrastive Learning With Alterable Self-Supervision	114
Dual Parallel Policy Iteration With Coupled Policy Improvement	113
Privacy-Aware Data Acquisition Under Data Similarity in Regression Markets	113
An Interpretable Neural Control Network With Adaptable Online Learning for Sample Efficient Robot Locomotion Learning	113
HomLLM: Exploiting Semantic Homology Relationship for Fine-Grained Bird Image Classification via Large Language Models	113
Skeleton-Based Human Motion Prediction With Privileged Supervision	113
Data-Driven Internal Model Learning Control for Nonlinear Systems	113
Discrete-Time Signatures and Randomness in Reservoir Computing	113
Semi-Supervised Breast Lesion Segmentation Using Confidence-Ranked Features and Bi-Level Prototypes	113
Regularization Effect of Random Node Fault/Noise on Gradient Descent Learning Algorithm	112
Self-Supervised Deep Multiview Spectral Clustering	112
Wavelet Transformer: An Effective Method on Multiple Periodic Decomposition for Time Series Forecasting	111
Fuzzy Logic-Enhanced Neuroadaptive Fault-Tolerant Control for Vehicular Platoons With Stochastic Disturbances and Asymmetric Spacing Constraints	110

A Cross-Client Coordinator in Federated Learning Framework for Conquering Heterogeneity	110
Hierarchical Self-Attention Network for Industrial Data Series Modeling With Different Sampling Rates Between the Input and Output Sequences	110
A Novel Fusion and Feature Selection Framework for Multisource Time-Series Data Based on Information Entropy	110
An Improved Non-Negative Latent Factor Model for Missing Data Estimation via Extragradient-Based Alternating Direction Method	109
One-Step Multiview Clustering via Adaptive Graph Learning and Spectral Rotation	109
An Online Active Broad Learning Approach for Real-Time Safety Assessment of Dynamic Systems in Nonstationary Environments	109
Generalized Subspace Coupling Approach for Robust Low-Tubal-Rank Tensor Completion	108
Anti-Confounding Hashing: Enhancing Radiological Image Retrieval via Debiased Weighting and Counterfactual Reasoning	108
Security and Safety-Critical Learning-Based Collaborative Control for Multiagent Systems	108
Neuroadaptive Control With Enhanced Stability and Reliability	108
An Inexact Sequential Quadratic Programming Method for Learning and Control of Recurrent Neural Networks	108
Multi-H∞ Controls for Unknown Input-Interference Nonlinear System With Reinforcement Learning	108
Bidirectional Probabilistic Subspaces Approximation for Multiview Clustering	108
Clustering Interval and Triangular Granular Data: Modeling, Execution, and Assessment	107
Bayesian-Learning-Based Diffusion Least Mean Square Algorithms Over Networks	107
Uncertainty-Aware Aggregation for Federated Open Set Domain Adaptation	107
Unsupervised Deep Tensor Network for Hyperspectral–Multispectral Image Fusion	107
IronForge: An Open, Secure, Fair, Decentralized Federated Learning	106
The Optimization of Control Parameters: Finite-Time Bipartite Synchronization of Memristive Neural Networks With Multiple Time Delays via Saturation Function	106
Exponential Asynchronous Stabilization for Delayed Semi-Markovian Neural Networks via DAEIC	106
Multiple Guidance Network for Industrial Product Surface Inspection With One Labeled Target Sample	106
Temporal Encoding and Multispike Learning Framework for Efficient Recognition of Visual Patterns	106
Fully Complex-Valued Dendritic Neuron Model	106
GMM Enhanced Anchor-Based Spectral Clustering for Large-Scale Data	103
A Unified Framework Based on Graph Consensus Term for Multiview Learning	103
Learning Multi-Agent Cooperation via Considering Actions of Teammates	103
State Estimation for Discrete Time-Delayed Impulsive Neural Networks Under Communication Constraints: A Delay-Range-Dependent Approach	103
An Explainable and Generalizable Recurrent Neural Network Approach for Differentiating Human Brain States on EEG Dataset	103
Convolutional Neural Networks for Spherical Signal Processing via Area-Regular Spherical Haar Tight Framelets	102
SIN: Semantic Inference Network for Few-Shot Streaming Label Learning	101
Keep and Select: Improving Hierarchical Context Modeling for Multi-Turn Response Generation	101
TRG-Net: An Interpretable and Controllable Rain Generator	101
Resilient Model Free Adaptive Distributed LFC for Multi-Area Power Systems Against Jamming Attacks	101
Table of Contents	101
Smart Machine Vision for Universal Spatial-Mode Reconstruction	100
Combining Optimal Path Search With Task-Dependent Learning in a Neural Network	100
Inducing Neural Collapse via Anticlasses and One-Cold Cross-Entropy Loss	100
Exponential Stability of Impulsive Timescale-Type Nonautonomous Neural Networks With Discrete Time-Varying and Infinite Distributed Delays	100
Cooperative Deep Q-Learning Framework for Environments Providing Image Feedback	99
Massive Ultrasonic Data Compression Using Wavelet Packet Transformation Optimized by Convolutional Autoencoders	99
Biphasic Face Photo-Sketch Synthesis via Semantic-Driven Generative Adversarial Network With Graph Representation Learning	99
Two-Time Scale Tracking Control of Flexible Robots With Primal-Dual Inverse Reinforcement Learning	99
Circuit Implementation and Quasi-Stabilization of Delayed Inertial Memristor-Based Neural Networks	99
Degradation Alignment in Remaining Useful Life Prediction Using Deep Cycle-Consistent Learning	98
Learning Cross-Attention Discriminators via Alternating Time–Space Transformers for Visual Tracking	98
Discriminative Regression With Adaptive Graph Diffusion	97
GBRS: A Unified Granular-Ball Learning Model of Pawlak Rough Set and Neighborhood Rough Set	97
Optimal Control for Constrained Discrete-Time Nonlinear Systems Based on Safe Reinforcement Learning	97
DMESH: A Structure-Preserving Diffusion Model for 3-D Mesh Denoising	96
Progressive Spatial Information-Guided Deep Aggregation Convolutional Network for Hyperspectral Spectral Super-Resolution	96
Bicriteria Sparse Nonnegative Matrix Factorization via Two-Timescale Duplex Neurodynamic Optimization	96
Reverse Graph Learning for Graph Neural Network	95
PPGF: Probability Pattern-Guided Time Series Forecasting	95
Random Orthogonal Additive Filters: A Solution to the Vanishing/Exploding Gradient of Deep Neural Networks	95
Exponentially Synchronous Results for Delayed Neural Networks With Leakage Delay via Switched Delay Idea and AED-ADT Method	95
SNN-FT: Temporal-Coded Spiking Neural Networks for Fourier Transform	94
Targeted Collapse Regularized Autoencoder for Anomaly Detection: Black Hole at the Center	94
A Node-Collaboration-Informed Graph Convolutional Network for Highly Accurate Representation to Undirected Weighted Graph	94
Clinical Prompt Learning With Frozen Language Models	94
Spatiotemporal Decouple-and-Squeeze Contrastive Learning for Semisupervised Skeleton-Based Action Recognition	93
Reinforcement Learning From Hierarchical Critics	93
Formulating and Representing Multiagent Systems With Hypergraphs	93
Cardinality Constrained Portfolio Optimization via Alternating Direction Method of Multipliers	93
Retrieval-Augmented Few-Shot Medical Image Segmentation With Foundation Models	93
Multiagent Soft Actor-Critic Based Hybrid Motion Planner for Mobile Robots	92
Safe Adaptive Policy Transfer Reinforcement Learning for Distributed Multiagent Control	92
Dual-Channel Adaptive Scale Hypergraph Encoders With Cross-View Contrastive Learning for Knowledge Tracing	92
Accelerated Learning Control for Point-to-Point Tracking Systems	92
Transformer Meets Gated Residual Networks to Enhance PICU’s PPG Artifact Detection Informed by Mutual Information Neural Estimation	91
Explicit Margin Equilibrium for Few-Shot Object Detection	91
IEGSCL: Interaction-Enhanced Graph Neural Sequence Contrastive Learning for Microscopic Diffusion Prediction	90
Structure-Enhanced Self-Supervised Weighted Information Bottleneck for Multiview Clustering	90
Robust PID-Type Iterative Learning Control for Nonlinear Square and Nonsquare Systems	90
On the Sufficient Condition for Solving the Gap-Filling Problem Using Deep Convolutional Neural Networks	89
Complete Stability of Delayed Recurrent Neural Networks With New Wave-Type Activation Functions	89
Token-Bucket-Protocol-Based Recursive Remote State Estimation for Complex Networks Under Amplify-and-Forward Relays	89
A Novel k-Means Framework via Constrained Relaxation and Spectral Rotation	89
LoLDU: Low-Rank Adaptation via Lower-Diag-Upper Decomposition for Parameter-Efficient Fine-Tuning	89
Enhancing Stability of Probabilistic Model-Based Reinforcement Learning by Adaptive Noise Filtering	88
Long-Term Tracking of Evasive Urban Target Based on Intention Inference and Deep Reinforcement Learning	88
Hierarchical Regression and Classification for Accurate Object Detection	87
Finite-Time Passivity for Coupled Fractional-Order Neural Networks With Multistate or Multiderivative Couplings	87
Observer-Based NN Control for Nonlinear Systems With Full-State Constraints and External Disturbances	87
Cosine 2DPCA With Weighted Projection Maximization	87
Interactive Prognosis Framework Between Deep Learning and a Stochastic Process Model for Remaining Useful Life Prediction	86
Novel Discrete-Time Recurrent Neural Network for Robot Manipulator: A Direct Discretization Technical Route	86
Further Results on Optimal Tracking Control for Nonlinear Systems With Nonzero Equilibrium via Adaptive Dynamic Programming	86
Flying Through a Narrow Gap Using End-to-End Deep Reinforcement Learning Augmented With Curriculum Learning and Sim2Real	85
Scale-Aware Super-Resolution Network With Dual Affinity Learning for Lesion Segmentation From Medical Images	85
Exponential Synchronization of Coupled Inertial Neural Networks With Hybrid Delays and Stochastic Impulses	85
CycleTrans: Learning Neutral Yet Discriminative Features via Cycle Construction for Visible- Infrared Person Re-Identification	84
PicassoNet: Searching Adaptive Architecture for Efficient Facial Landmark Localization	84
Causal Optimal Transport for Treatment Effect Estimation	84
Deep Adversarial Inconsistent Cognitive Sampling for Multiview Progressive Subspace Clustering	84
A Survey on Vision–Language–Action Models for Embodied AI	84