IEEE Transactions on Neural Networks and Learning Systems

Article	Citations
Table of Contents	2941
IEEE Transactions on Neural Networks and Learning Systems Information for Authors	1558
Efficient Spiking Neural Networks With Radix Encoding	1300
Single-Frame-Based Deep View Synchronization for Unsynchronized Multicamera Surveillance	697
Stochastically Controlled Compositional Gradient for Composition Problems	596
Altruistic Collaborative Learning	546
Nonergodic Complexity of Proximal Inertial Gradient Descents	428
Improving Pretrained Language Model Fine-Tuning With Noise Stability Regularization	391
On the Size and Width of the Decoder of a Boolean Threshold Autoencoder	382
Achieving Sharp Upper Bounds on the Expressive Power of Neural Networks via Tropical Polynomials	363
Efficient Approximations for Matrix-Based Rényi’s Entropy on Sequential Data	313
Deep-Growing Neural Network With Manifold Constraints for Hyperspectral Image Classification	311
Semantic Consistency Reasoning for 3-D Object Detection in Point Clouds	278
IEEE Computational Intelligence Society Information	264
Learning Unified Anchor Graph for Joint Clustering of Hyperspectral and LiDAR Data	259
Source-Free Active Domain Adaptation via Augmentation-Based Sample Query and Progressive Model Adaptation	242
Learning Sequential Variation Information for Dynamic Facial Expression Recognition	240
Local Causal Discovery in Multiple Manipulated Datasets	234
MUSIC: Accelerated Convergence for Distributed Optimization With Inexact and Exact Methods	232
A Study on Truncated Newton Methods for Linear Classification	228
DenseKD: Dense Knowledge Distillation by Exploiting Region and Sample Importance	227
Convolution Filter Compression via Sparse Linear Combinations of Quantized Basis	222
Efficient Linear Discriminant Analysis Based on Randomized Low-Rank Approaches	221
Hierarchical Deep Reinforcement Learning-Based Propofol Infusion Assistant Framework in Anesthesia	220
Neural Adaptive Intermittent Output Feedback Control for Autonomous Underwater Vehicles With Full-State Quantitative Designs	218

Effective Streaming Low-Tubal-Rank Tensor Approximation via Frequent Directions	215
Variable Gain Impulsive Synchronization for Discrete-Time Delayed Neural Networks and Its Application in Digital Secure Communication	215
Point-DAE: Denoising Autoencoders for Self-Supervised Point Cloud Learning	212
Depthwise Convolution for Multi-Agent Communication With Enhanced Mean-Field Approximation	202
Neuro-Optimal Event-Triggered Impulsive Control for Stochastic Systems via ADP	201
MGEL: Multigrained Representation Analysis and Ensemble Learning for Text Moderation	188
Protecting Deep Learning Model Copyrights With Adversarial Example-Free Reuse Detection	184
Open Set Domain Adaptation via Joint Alignment and Category Separation	183
BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance	177
Agglomerative Neural Networks for Multiview Clustering	177
Attention-Based Real Image Restoration	176
A Shadow Imaging Bilinear Model and Three-Branch Residual Network for Shadow Removal	176
Projective Synchronization for Uncertain Fractional Reaction-Diffusion Systems via Adaptive Sliding Mode Control Based on Finite-Time Scheme	172
Evolving Memristive Reservoir	171
Robust and Sparse Principal Component Analysis With Adaptive Loss Minimization for Feature Selection	170
LFT: Neural Ordinary Differential Equations With Learnable Final-Time	170
SCMix: Stochastic Compound Mixing for Open Compound Domain Adaptation in Semantic Segmentation	168
Power Law in Deep Neural Networks: Sparse Network Generation and Continual Learning With Preferential Attachment	168
Multiview Classification Through Learning From Interval-Valued Data	167
Task-Oriented Robot Cognitive Manipulation Planning Using Affordance Segmentation and Logic Reasoning	166
DigNet: Digging Clues From Local–Global Interactive Graph for Aspect-Level Sentiment Classification	166
Designing Efficient Bit-Level Sparsity-Tolerant Memristive Networks	165
Simulation-Aided Handover Prediction From Video Using Recurrent Image-to-Motion Networks	164
Penalizing the Hard Example But Not Too Much: A Strong Baseline for Fine-Grained Visual Classification	164
EDP: An Efficient Decomposition and Pruning Scheme for Convolutional Neural Network Compression	162
Cross-Modal Remote Sensing Image–Text Retrieval via Context and Uncertainty-Aware Prompt	158
Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning	157
SinKD: Sinkhorn Distance Minimization for Knowledge Distillation	156
Event-Triggered Synchronization of Multiple Fractional-Order Recurrent Neural Networks With Time-Varying Delays	155
Automated Anomaly Detection via Curiosity-Guided Search and Self-Imitation Learning	155
Self-Constructing Fuzzy Neural Fractional-Order Sliding Mode Control of Active Power Filter	155
A Weighted Heterogeneous Graph-Based Dialog System	154
Scalable Inverse Reinforcement Learning Through Multifidelity Bayesian Optimization	151
Visual Reinforcement Learning Control With Instance-Reweighted Alignment and Instance-Dimension Uniformity	149
From Cluster Assumption to Graph Convolution: Graph-Based Semi-Supervised Learning Revisited	147
Deep Learning for Visual Localization and Mapping: A Survey	145
Robust Symbol Detection Based on Quaternion Neural Networks in Wireless Polarization-Shift-Keying Communications	145
AEVAE: Adaptive Evolutionary Autoencoder for Anomaly Detection in Time Series	145
Multistability of Almost Periodic Solutions for Fuzzy Competitive NNs With Time-Varying Delays	144
Heterogeneous Multidomain Recommender System Through Adversarial Learning	143
Learning Aligned Vertex Convolutional Networks for Graph Classification	143
Proportional–Integral Observer-Based State Estimation for Singularly Perturbed Complex Networks With Cyberattacks	143
Recurrent Neural Dynamics Models for Perturbed Nonstationary Quadratic Programs: A Control-Theoretical Perspective	141
A Dini-Derivative-Aided Zeroing Neural Network for Time-Variant Quadratic Programming Involving Multi-Type Constraints With Robotic Applications	141
Empowering the Diversity and Individuality of Option: Residual Soft Option Critic Framework	139
Deep Learning and Symbolic Regression for Discovering Parametric Equations	138
Analytical Bounds on the Local Lipschitz Constants of ReLU Networks	135
Adaptive Weighted Ranking-Oriented Label Distribution Learning	133
Three-Stage Semisupervised Cross-Modal Hashing With Pairwise Relations Exploitation	133
Chain-Structure Echo State Network With Stochastic Optimization: Methodology and Application	133

Modified RNN for Solving Comprehensive Sylvester Equation With TDOA Application	133
Simple and Effective: Spatial Rescaling for Person Reidentification	131
Colorization-Inspired Customized Low-Light Image Enhancement by a Decoupled Network	129
Exploring Dynamic Transformer for Efficient Object Tracking	126
End-to-End Streaming Video Temporal Action Segmentation With Reinforcement Learning	126
Discovering Spatiotemporal–Individual Coupled Features From Nonstandard Tensors—A Novel Dynamic Graph Mixer Approach	125
2-D Transformer: Extending Large Language Models to Long-Context With Few Memory	125
Adaptive Developmental Resonance Network	123
An Efficient Graph Learning System for Emotion Recognition Inspired by the Cognitive Prior Graph of EEG Brain Network	122
Rethinking Pretraining as a Bridge From ANNs to SNNs	122
Local Anomaly Detection for Multivariate Time Series by Temporal Dependency Based on Poisson Model	122
Representation-Learning-Based CNN for Intelligent Attack Localization and Recovery of Cyber-Physical Power Systems	121
LMFE: Learning-Based Multiscale Feature Engineering in Partial Discharge Detection	121
A Novel Data Augmentation Method Based on CoralGAN for Prediction of Part Surface Roughness	120
Status-Aware Signed Heterogeneous Network Embedding With Graph Neural Networks	120
A Novel Generator With Auxiliary Branch for Improving GAN Performance	119
Domain Adaptation via Prompt Learning	119
Hierarchical Graph Convolutional Network Built by Multiscale Atlases for Brain Disorder Diagnosis Using Functional Connectivity	118
A Distributed Proximal Consensus Algorithm for Energy Saving in Ethylene Production	118
Tensorizing GAN With High-Order Pooling for Alzheimer’s Disease Assessment	116
Learning Single Spectral Abundance for Hyperspectral Subpixel Target Detection	116
A Novel Formulation of Trace Ratio Linear Discriminant Analysis	115
Granular Ball Sampling for Noisy Label Classification or Imbalanced Classification	115
Adaptive Neural Coordinated Control for Multiple Euler-Lagrange Systems With Periodic Event-Triggered Sampling	115
Underexposed Image Correction via Hybrid Priors Navigated Deep Propagation	114
Constructing Accurate and Efficient Deep Spiking Neural Networks With Double-Threshold and Augmented Schemes	114
Adaptive Event-Triggered Bipartite Formation for Multiagent Systems via Reinforcement Learning	113
Wormhole Dynamics in Deep Neural Networks	113
Soft Sensing for Time Series With Irregular Sampling Internals Based on a Denoising Interval Attention LSTM Network	113
Interest HD: An Interest Frame Model for Recommendation Based on HD Image Generation	113
TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks	112
DualGCN: Exploring Syntactic and Semantic Information for Aspect-Based Sentiment Analysis	111
ResDNet: Efficient Dense Multi-Scale Representations With Residual Learning for High-Level Vision Tasks	111
Neural Network Output-Feedback Consensus Fault-Tolerant Control for Nonlinear Multiagent Systems With Intermittent Actuator Faults	111
A Hybrid CMOS-Memristor Spiking Neural Network Supporting Multiple Learning Rules	110
Koopman-Based MPC With Learned Dynamics: Hierarchical Neural Network Approach	110
Consensus of Stochastic Dynamical Multiagent Systems in Directed Networks via PI Protocols	109
Spatiotemporal Transformation-Based Neural Network With Interpretable Structure for Modeling Distributed Parameter Systems	109
H ∞Bipartite Synchronization of Double-Layer Markov Switched Cooperation-Competition Neural Networks: A Distributed Dynamic Event-Triggered Mechanism	108
Backdoor Attacks and Countermeasures in Natural Language Processing Models: A Comprehensive Security Review	107
Inverse Reinforcement Learning for Adversarial Apprentice Games	105
Interpretable Model-Driven Deep Network for Hyperspectral, Multispectral, and Panchromatic Image Fusion	105
Improved Stability Criteria for Delayed Neural Networks Using a Quadratic Function Negative-Definiteness Approach	104
Subspace Clustering via Structured Sparse Relation Representation	104
Parameterized Luenberger-TypeH∞State Estimator for Delayed Static Neural Networks	104
Federated Generalized Face Presentation Attack Detection	103
Graph-Based Unsupervised Feature Selection for Interval-Valued Information System	103
Manifold Interpolation for Large-Scale Multiobjective Optimization via Generative Adversarial Networks	103
Transfer Learning-Motivated Intelligent Fault Diagnosis Designs: A Survey, Insights, and Perspectives	103
Conservative Novelty Synthesizing Network for Malware Recognition in an Open-Set Scenario	102
IEEE Transactions on Neural Networks and Learning Systems Publication Information	101
Deep Reinforcement Learning for Cyber Security	101
Table of Contents	101
DMESH: A Structure-Preserving Diffusion Model for 3-D Mesh Denoising	101
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS Publication Information	101
IEEE Transactions on Neural Networks and Learning Systems Publication Information	100
Two-Time Scale Tracking Control of Flexible Robots With Primal-Dual Inverse Reinforcement Learning	100
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS Publication Information	100
Cooperative Deep Q-Learning Framework for Environments Providing Image Feedback	99
Modularizing Deep Learning via Pairwise Learning With Kernels	99
An Interpretable Neural Control Network With Adaptable Online Learning for Sample Efficient Robot Locomotion Learning	99
Composite Learning Control of Overactuated Manned Submersible Vehicle With Disturbance/Uncertainty and Measurement Noise	99
Reinforcement Learning From Hierarchical Critics	99
Uncertainty-Aware Aggregation for Federated Open Set Domain Adaptation	98
State Estimation for Discrete Time-Delayed Impulsive Neural Networks Under Communication Constraints: A Delay-Range-Dependent Approach	98
Targeted Collapse Regularized Autoencoder for Anomaly Detection: Black Hole at the Center	97
Privacy-Aware Data Acquisition Under Data Similarity in Regression Markets	97
Bidirectional Probabilistic Subspaces Approximation for Multiview Clustering	97
Circuit Implementation and Quasi-Stabilization of Delayed Inertial Memristor-Based Neural Networks	97
Exponential Stability of Impulsive Timescale-Type Nonautonomous Neural Networks With Discrete Time-Varying and Infinite Distributed Delays	96
Self-Supervised Random Forest on Transformed Distribution for Anomaly Detection	96
Inducing Neural Collapse via Anticlasses and One-Cold Cross-Entropy Loss	96
Safe Adaptive Policy Transfer Reinforcement Learning for Distributed Multiagent Control	96
Learning Cross-Attention Discriminators via Alternating Time–Space Transformers for Visual Tracking	96
Multiple Guidance Network for Industrial Product Surface Inspection With One Labeled Target Sample	96
Dual Parallel Policy Iteration With Coupled Policy Improvement	95
Scale-Aware Super-Resolution Network With Dual Affinity Learning for Lesion Segmentation From Medical Images	95
A Node-Collaboration-Informed Graph Convolutional Network for Highly Accurate Representation to Undirected Weighted Graph	95
Causal Optimal Transport for Treatment Effect Estimation	94
Token-Bucket-Protocol-Based Recursive Remote State Estimation for Complex Networks Under Amplify-and-Forward Relays	93

IronForge: An Open, Secure, Fair, Decentralized Federated Learning	93
Optimal Control for Constrained Discrete-Time Nonlinear Systems Based on Safe Reinforcement Learning	93
CycleTrans: Learning Neutral Yet Discriminative Features via Cycle Construction for Visible- Infrared Person Re-Identification	93
A Novel k-Means Framework via Constrained Relaxation and Spectral Rotation	93
Self-Supervised Deep Multiview Spectral Clustering	93
Interactive Prognosis Framework Between Deep Learning and a Stochastic Process Model for Remaining Useful Life Prediction	93
Novel Discrete-Time Recurrent Neural Network for Robot Manipulator: A Direct Discretization Technical Route	92
Degradation Alignment in Remaining Useful Life Prediction Using Deep Cycle-Consistent Learning	92
Regularization Effect of Random Node Fault/Noise on Gradient Descent Learning Algorithm	92
Temporal Encoding and Multispike Learning Framework for Efficient Recognition of Visual Patterns	92
An Explainable and Generalizable Recurrent Neural Network Approach for Differentiating Human Brain States on EEG Dataset	91
Neuroadaptive Control With Enhanced Stability and Reliability	91
A Cross-Client Coordinator in Federated Learning Framework for Conquering Heterogeneity	91
Hierarchical Self-Attention Network for Industrial Data Series Modeling With Different Sampling Rates Between the Input and Output Sequences	90
PPGF: Probability Pattern-Guided Time Series Forecasting	90
Smart Machine Vision for Universal Spatial-Mode Reconstruction	89
Spatiotemporal Decouple-and-Squeeze Contrastive Learning for Semisupervised Skeleton-Based Action Recognition	89
A Novel Fusion and Feature Selection Framework for Multisource Time-Series Data Based on Information Entropy	89
Unsupervised Deep Tensor Network for Hyperspectral–Multispectral Image Fusion	88
GBRS: A Unified Granular-Ball Learning Model of Pawlak Rough Set and Neighborhood Rough Set	88
Exponentially Synchronous Results for Delayed Neural Networks With Leakage Delay via Switched Delay Idea and AED-ADT Method	88
Memory-Efficient Class-Incremental Learning for Image Classification	88
Data-Driven Internal Model Learning Control for Nonlinear Systems	88
Bicriteria Sparse Nonnegative Matrix Factorization via Two-Timescale Duplex Neurodynamic Optimization	88
Further Results on Optimal Tracking Control for Nonlinear Systems With Nonzero Equilibrium via Adaptive Dynamic Programming	87
Long-Term Tracking of Evasive Urban Target Based on Intention Inference and Deep Reinforcement Learning	87
A New Looped Functional to Synchronize Neural Networks With Sampled-Data Control	87
Multi-H∞ Controls for Unknown Input-Interference Nonlinear System With Reinforcement Learning	87
Skeleton-Based Human Motion Prediction With Privileged Supervision	87
Dual-Channel Adaptive Scale Hypergraph Encoders With Cross-View Contrastive Learning for Knowledge Tracing	87
Resilient Model Free Adaptive Distributed LFC for Multi-Area Power Systems Against Jamming Attacks	86
Wavelet Transformer: An Effective Method on Multiple Periodic Decomposition for Time Series Forecasting	86
Reverse Graph Learning for Graph Neural Network	86
Complete Stability of Delayed Recurrent Neural Networks With New Wave-Type Activation Functions	86
An Online Active Broad Learning Approach for Real-Time Safety Assessment of Dynamic Systems in Nonstationary Environments	86
Learned Gradient Compression for Distributed Deep Learning	86
Composite-Learning-Based Adaptive Neural Control for Dual-Arm Robots With Relative Motion	85
Safety-Critical Containment Maneuvering of Underactuated Autonomous Surface Vehicles Based on Neurodynamic Optimization With Control Barrier Functions	85
Cardinality Constrained Portfolio Optimization via Alternating Direction Method of Multipliers	85
Cosine 2DPCA With Weighted Projection Maximization	85
PicassoNet: Searching Adaptive Architecture for Efficient Facial Landmark Localization	84
Discriminative Regression With Adaptive Graph Diffusion	84
Keep and Select: Improving Hierarchical Context Modeling for Multi-Turn Response Generation	84
Combining Optimal Path Search With Task-Dependent Learning in a Neural Network	83
Sparse Count Data Clustering Using an Exponential Approximation to Generalized Dirichlet Multinomial Distributions	83
Learning Multi-Agent Cooperation via Considering Actions of Teammates	82
Massive Ultrasonic Data Compression Using Wavelet Packet Transformation Optimized by Convolutional Autoencoders	82
An Inexact Sequential Quadratic Programming Method for Learning and Control of Recurrent Neural Networks	82
An Uplink Communication-Efficient Approach to Featurewise Distributed Sparse Optimization With Differential Privacy	82
On the Sufficient Condition for Solving the Gap-Filling Problem Using Deep Convolutional Neural Networks	82
Convolutional Neural Networks for Spherical Signal Processing via Area-Regular Spherical Haar Tight Framelets	81
Biphasic Face Photo-Sketch Synthesis via Semantic-Driven Generative Adversarial Network With Graph Representation Learning	81
One-Step Multiview Clustering via Adaptive Graph Learning and Spectral Rotation	81
Clinical Prompt Learning With Frozen Language Models	81
Multiagent Soft Actor-Critic Based Hybrid Motion Planner for Mobile Robots	80
Synaptic Weight Evolution and Charge Trapping Mechanisms in a Synaptic Pass-Transistor Operation With a Direct Potential Output	80
A Unified Framework Based on Graph Consensus Term for Multiview Learning	79
Gait Quality Aware Network: Toward the Interpretability of Silhouette-Based Gait Recognition	79
Fully Complex-Valued Dendritic Neuron Model	79
Formulating and Representing Multiagent Systems With Hypergraphs	79
SAM-Med3D: A Vision Foundation Model for General-Purpose Segmentation on Volumetric Medical Images	78
A Theoretical Insight Into the Effect of Loss Function for Deep Semantic-Preserving Learning	78
Flying Through a Narrow Gap Using End-to-End Deep Reinforcement Learning Augmented With Curriculum Learning and Sim2Real	78
Anti-Confounding Hashing: Enhancing Radiological Image Retrieval via Debiased Weighting and Counterfactual Reasoning	78
Disturbance-Aware Neuro-Optimal System Control Using Generative Adversarial Control Networks	77
Optimizing for In-Memory Deep Learning With Emerging Memory Technology	77
IEEE Transactions on Neural Networks and Learning Systems Information for Authors	77
Progressively Learning to Reach Remote Goals by Continuously Updating Boundary Goals	77
Explicit Margin Equilibrium for Few-Shot Object Detection	77
Hierarchical Regression and Classification for Accurate Object Detection	77
Deep Adversarial Inconsistent Cognitive Sampling for Multiview Progressive Subspace Clustering	76
Clustering Interval and Triangular Granular Data: Modeling, Execution, and Assessment	76
GMM Enhanced Anchor-Based Spectral Clustering for Large-Scale Data	76
TRG-Net: An Interpretable and Controllable Rain Generator	76
Retrieval-Augmented Few-Shot Medical Image Segmentation With Foundation Models	76
Security and Safety-Critical Learning-Based Collaborative Control for Multiagent Systems	76
Accelerated Learning Control for Point-to-Point Tracking Systems	76
Random Orthogonal Additive Filters: A Solution to the Vanishing/Exploding Gradient of Deep Neural Networks	76
Similarity-Agnostic Contrastive Learning With Alterable Self-Supervision	76
An Improved Non-Negative Latent Factor Model for Missing Data Estimation via Extragradient-Based Alternating Direction Method	75
Exponential Asynchronous Stabilization for Delayed Semi-Markovian Neural Networks via DAEIC	75
Discrete-Time Signatures and Randomness in Reservoir Computing	74
Exponential Synchronization of Coupled Inertial Neural Networks With Hybrid Delays and Stochastic Impulses	74
Progressive Spatial Information-Guided Deep Aggregation Convolutional Network for Hyperspectral Spectral Super-Resolution	74
The Optimization of Control Parameters: Finite-Time Bipartite Synchronization of Memristive Neural Networks With Multiple Time Delays via Saturation Function	74
SIN: Semantic Inference Network for Few-Shot Streaming Label Learning	74
Finite-Time Passivity for Coupled Fractional-Order Neural Networks With Multistate or Multiderivative Couplings	74
Event-Triggered Communication Network With Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning	73
Adaptive Integral Sliding Mode Control Using Fully Connected Recurrent Neural Network for Position and Attitude Control of Quadrotor	73
Bayesian-Learning-Based Diffusion Least Mean Square Algorithms Over Networks	73
IEEE Computational Intelligence Society Information	72
Learning Graph Representations With Maximal Cliques	72
Observer-Based NN Control for Nonlinear Systems With Full-State Constraints and External Disturbances	72
Editorial Biologically Learned/Inspired Methods for Sensing, Control, and Decision	72
Reachable Polyhedral Marching (RPM): An Exact Analysis Tool for Deep-Learned Control Systems	72