IEEE Transactions on Neural Networks and Learning Systems

Article	Citations
Table of Contents	2818
ResDNet: Efficient Dense Multi-Scale Representations With Residual Learning for High-Level Vision Tasks	1501
IEEE Transactions on Neural Networks and Learning Systems Information for Authors	1261
Efficient Spiking Neural Networks With Radix Encoding	741
Single-Frame-Based Deep View Synchronization for Unsynchronized Multicamera Surveillance	659
Stochastically Controlled Compositional Gradient for Composition Problems	564
Altruistic Collaborative Learning	540
Nonergodic Complexity of Proximal Inertial Gradient Descents	417
Improving Pretrained Language Model Fine-Tuning With Noise Stability Regularization	405
On the Size and Width of the Decoder of a Boolean Threshold Autoencoder	361
Achieving Sharp Upper Bounds on the Expressive Power of Neural Networks via Tropical Polynomials	342
Efficient Approximations for Matrix-Based Rényi’s Entropy on Sequential Data	340
Deep-Growing Neural Network With Manifold Constraints for Hyperspectral Image Classification	295
Semantic Consistency Reasoning for 3-D Object Detection in Point Clouds	293
IEEE Computational Intelligence Society Information	268
Learning Unified Anchor Graph for Joint Clustering of Hyperspectral and LiDAR Data	252
A Hybrid CMOS-Memristor Spiking Neural Network Supporting Multiple Learning Rules	252
Spatiotemporal Transformation-Based Neural Network With Interpretable Structure for Modeling Distributed Parameter Systems	239
Source-Free Active Domain Adaptation via Augmentation-Based Sample Query and Progressive Model Adaptation	233
Learning Sequential Variation Information for Dynamic Facial Expression Recognition	224
Local Causal Discovery in Multiple Manipulated Datasets	224
A Distributed Proximal Consensus Algorithm for Energy Saving in Ethylene Production	223
MUSIC: Accelerated Convergence for Distributed Optimization With Inexact and Exact Methods	217
2-D Transformer: Extending Large Language Models to Long-Context With Few Memory	214
A Study on Truncated Newton Methods for Linear Classification	214

Conservative Novelty Synthesizing Network for Malware Recognition in an Open-Set Scenario	214
DenseKD: Dense Knowledge Distillation by Exploiting Region and Sample Importance	213
Convolution Filter Compression via Sparse Linear Combinations of Quantized Basis	210
Efficient Linear Discriminant Analysis Based on Randomized Low-Rank Approaches	207
Hierarchical Deep Reinforcement Learning-Based Propofol Infusion Assistant Framework in Anesthesia	207
Recurrent Neural Dynamics Models for Perturbed Nonstationary Quadratic Programs: A Control-Theoretical Perspective	192
Neural Adaptive Intermittent Output Feedback Control for Autonomous Underwater Vehicles With Full-State Quantitative Designs	190
LMFE: Learning-Based Multiscale Feature Engineering in Partial Discharge Detection	182
Variable Gain Impulsive Synchronization for Discrete-Time Delayed Neural Networks and Its Application in Digital Secure Communication	180
End-to-End Streaming Video Temporal Action Segmentation With Reinforcement Learning	177
Effective Streaming Low-Tubal-Rank Tensor Approximation via Frequent Directions	173
Status-Aware Signed Heterogeneous Network Embedding With Graph Neural Networks	172
Parameterized Luenberger-TypeH∞State Estimator for Delayed Static Neural Networks	172
Point-DAE: Denoising Autoencoders for Self-Supervised Point Cloud Learning	171
Depthwise Convolution for Multi-Agent Communication With Enhanced Mean-Field Approximation	168
Neuro-Optimal Event-Triggered Impulsive Control for Stochastic Systems via ADP	167
Adaptive Developmental Resonance Network	166
MGEL: Multigrained Representation Analysis and Ensemble Learning for Text Moderation	165
Protecting Deep Learning Model Copyrights With Adversarial Example-Free Reuse Detection	163
Spatiotemporal Graph Convolution Multifusion Network for Urban Vehicle Emission Prediction	162
Adaptive Event-Triggered Bipartite Formation for Multiagent Systems via Reinforcement Learning	161
Modified RNN for Solving Comprehensive Sylvester Equation With TDOA Application	160
Exploring Dynamic Transformer for Efficient Object Tracking	160
Deep Learning and Symbolic Regression for Discovering Parametric Equations	159
Open Set Domain Adaptation via Joint Alignment and Category Separation	159
BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance	157
Inverse Reinforcement Learning for Adversarial Apprentice Games	156
Learning Aligned Vertex Convolutional Networks for Graph Classification	155
Agglomerative Neural Networks for Multiview Clustering	152
Attention-Based Real Image Restoration	151
A Novel Generator With Auxiliary Branch for Improving GAN Performance	149
A Shadow Imaging Bilinear Model and Three-Branch Residual Network for Shadow Removal	149
Projective Synchronization for Uncertain Fractional Reaction-Diffusion Systems via Adaptive Sliding Mode Control Based on Finite-Time Scheme	148
A Novel Data Augmentation Method Based on CoralGAN for Prediction of Part Surface Roughness	148
Evolving Memristive Reservoir	146
Robust and Sparse Principal Component Analysis With Adaptive Loss Minimization for Feature Selection	145
Proportional–Integral Observer-Based State Estimation for Singularly Perturbed Complex Networks With Cyberattacks	144
A Dini-Derivative-Aided Zeroing Neural Network for Time-Variant Quadratic Programming Involving Multi-Type Constraints With Robotic Applications	143
Adaptive Neural Coordinated Control for Multiple Euler-Lagrange Systems With Periodic Event-Triggered Sampling	142
Interest HD: An Interest Frame Model for Recommendation Based on HD Image Generation	142
LFT: Neural Ordinary Differential Equations With Learnable Final-Time	140
Transfer Learning-Motivated Intelligent Fault Diagnosis Designs: A Survey, Insights, and Perspectives	140
Koopman-Based MPC With Learned Dynamics: Hierarchical Neural Network Approach	139
Improved Stability Criteria for Delayed Neural Networks Using a Quadratic Function Negative-Definiteness Approach	139
Hierarchical Graph Convolutional Network Built by Multiscale Atlases for Brain Disorder Diagnosis Using Functional Connectivity	137
Adaptive Weighted Ranking-Oriented Label Distribution Learning	137
Interpretable Model-Driven Deep Network for Hyperspectral, Multispectral, and Panchromatic Image Fusion	135
Learning Single Spectral Abundance for Hyperspectral Subpixel Target Detection	134
An Efficient Graph Learning System for Emotion Recognition Inspired by the Cognitive Prior Graph of EEG Brain Network	130
Domain Adaptation via Prompt Learning	130

Simple and Effective: Spatial Rescaling for Person Reidentification	129
TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks	129
Power Law in Deep Neural Networks: Sparse Network Generation and Continual Learning With Preferential Attachment	128
SCMix: Stochastic Compound Mixing for Open Compound Domain Adaptation in Semantic Segmentation	126
DigNet: Digging Clues From Local–Global Interactive Graph for Aspect-Level Sentiment Classification	123
Underexposed Image Correction via Hybrid Priors Navigated Deep Propagation	123
Multiview Classification Through Learning From Interval-Valued Data	123
Designing Efficient Bit-Level Sparsity-Tolerant Memristive Networks	122
Task-Oriented Robot Cognitive Manipulation Planning Using Affordance Segmentation and Logic Reasoning	122
Tensorizing GAN With High-Order Pooling for Alzheimer’s Disease Assessment	121
Constructing Accurate and Efficient Deep Spiking Neural Networks With Double-Threshold and Augmented Schemes	120
Manifold Interpolation for Large-Scale Multiobjective Optimization via Generative Adversarial Networks	119
Rethinking Pretraining as a Bridge From ANNs to SNNs	119
Local Anomaly Detection for Multivariate Time Series by Temporal Dependency Based on Poisson Model	118
Simulation-Aided Handover Prediction From Video Using Recurrent Image-to-Motion Networks	118
EDP: An Efficient Decomposition and Pruning Scheme for Convolutional Neural Network Compression	117
Penalizing the Hard Example But Not Too Much: A Strong Baseline for Fine-Grained Visual Classification	117
Cross-Modal Remote Sensing Image–Text Retrieval via Context and Uncertainty-Aware Prompt	116
Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning	115
Backdoor Attacks and Countermeasures in Natural Language Processing Models: A Comprehensive Security Review	115
Colorization-Inspired Customized Low-Light Image Enhancement by a Decoupled Network	115
Graph-Based Unsupervised Feature Selection for Interval-Valued Information System	114
SinKD: Sinkhorn Distance Minimization for Knowledge Distillation	114
Automated Anomaly Detection via Curiosity-Guided Search and Self-Imitation Learning	113
Self-Constructing Fuzzy Neural Fractional-Order Sliding Mode Control of Active Power Filter	113
Neural Network Output-Feedback Consensus Fault-Tolerant Control for Nonlinear Multiagent Systems With Intermittent Actuator Faults	113
Event-Triggered Synchronization of Multiple Fractional-Order Recurrent Neural Networks With Time-Varying Delays	112
Empowering the Diversity and Individuality of Option: Residual Soft Option Critic Framework	111
A Novel Formulation of Trace Ratio Linear Discriminant Analysis	110
A Weighted Heterogeneous Graph-Based Dialog System	110
Visual Reinforcement Learning Control With Instance-Reweighted Alignment and Instance-Dimension Uniformity	109
Scalable Inverse Reinforcement Learning Through Multifidelity Bayesian Optimization	109
Adaptive Fusion of Heterogeneous Manifolds for Subspace Clustering	108
Chain-Structure Echo State Network With Stochastic Optimization: Methodology and Application	107
Analytical Bounds on the Local Lipschitz Constants of ReLU Networks	107
DualGCN: Exploring Syntactic and Semantic Information for Aspect-Based Sentiment Analysis	107
Three-Stage Semisupervised Cross-Modal Hashing With Pairwise Relations Exploitation	107
From Cluster Assumption to Graph Convolution: Graph-Based Semi-Supervised Learning Revisited	106
H ∞Bipartite Synchronization of Double-Layer Markov Switched Cooperation-Competition Neural Networks: A Distributed Dynamic Event-Triggered Mechanism	105
Deep Reinforcement Learning for Cyber Security	105
AEVAE: Adaptive Evolutionary Autoencoder for Anomaly Detection in Time Series	104
Robust Symbol Detection Based on Quaternion Neural Networks in Wireless Polarization-Shift-Keying Communications	103
Federated Generalized Face Presentation Attack Detection	103
Deep Learning for Visual Localization and Mapping: A Survey	103
Heterogeneous Multidomain Recommender System Through Adversarial Learning	102
Representation-Learning-Based CNN for Intelligent Attack Localization and Recovery of Cyber-Physical Power Systems	101
Granular Ball Sampling for Noisy Label Classification or Imbalanced Classification	100
Subspace Clustering via Structured Sparse Relation Representation	100
Multistability of Almost Periodic Solutions for Fuzzy Competitive NNs With Time-Varying Delays	100
Consensus of Stochastic Dynamical Multiagent Systems in Directed Networks via PI Protocols	100
Table of Contents	99
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS Publication Information	99
IEEE Transactions on Neural Networks and Learning Systems Publication Information	99
A Novel Fusion and Feature Selection Framework for Multisource Time-Series Data Based on Information Entropy	99
DMESH: A Structure-Preserving Diffusion Model for 3-D Mesh Denoising	99
IEEE Transactions on Neural Networks and Learning Systems Publication Information	98
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS Publication Information	98
Two-Time Scale Tracking Control of Flexible Robots With Primal-Dual Inverse Reinforcement Learning	97
Modularizing Deep Learning via Pairwise Learning With Kernels	97
Dual-Channel Adaptive Scale Hypergraph Encoders With Cross-View Contrastive Learning for Knowledge Tracing	97
Reinforcement Learning From Hierarchical Critics	97
An Interpretable Neural Control Network With Adaptable Online Learning for Sample Efficient Robot Locomotion Learning	96
Cooperative Deep Q-Learning Framework for Environments Providing Image Feedback	96
Targeted Collapse Regularized Autoencoder for Anomaly Detection: Black Hole at the Center	95
State Estimation for Discrete Time-Delayed Impulsive Neural Networks Under Communication Constraints: A Delay-Range-Dependent Approach	95
Privacy-Aware Data Acquisition Under Data Similarity in Regression Markets	95
Composite Learning Control of Overactuated Manned Submersible Vehicle With Disturbance/Uncertainty and Measurement Noise	95
Bidirectional Probabilistic Subspaces Approximation for Multiview Clustering	95
Long-Term Tracking of Evasive Urban Target Based on Intention Inference and Deep Reinforcement Learning	95
IronForge: An Open, Secure, Fair, Decentralized Federated Learning	94
Circuit Implementation and Quasi-Stabilization of Delayed Inertial Memristor-Based Neural Networks	94
A Cross-Client Coordinator in Federated Learning Framework for Conquering Heterogeneity	94
GMM Enhanced Anchor-Based Spectral Clustering for Large-Scale Data	94
Uncertainty-Aware Aggregation for Federated Open Set Domain Adaptation	94
Progressive Spatial Information-Guided Deep Aggregation Convolutional Network for Hyperspectral Spectral Super-Resolution	93
Dual Parallel Policy Iteration With Coupled Policy Improvement	93
Safe Adaptive Policy Transfer Reinforcement Learning for Distributed Multiagent Control	93
Learning Cross-Attention Discriminators via Alternating Time–Space Transformers for Visual Tracking	93
Scale-Aware Super-Resolution Network With Dual Affinity Learning for Lesion Segmentation From Medical Images	92
Inducing Neural Collapse via Anticlasses and One-Cold Cross-Entropy Loss	92

Multiple Guidance Network for Industrial Product Surface Inspection With One Labeled Target Sample	92
Token-Bucket-Protocol-Based Recursive Remote State Estimation for Complex Networks Under Amplify-and-Forward Relays	92
Self-Supervised Random Forest on Transformed Distribution for Anomaly Detection	92
An Online Active Broad Learning Approach for Real-Time Safety Assessment of Dynamic Systems in Nonstationary Environments	92
A Node-Collaboration-Informed Graph Convolutional Network for Highly Accurate Representation to Undirected Weighted Graph	92
Exponential Stability of Impulsive Timescale-Type Nonautonomous Neural Networks With Discrete Time-Varying and Infinite Distributed Delays	92
TRG-Net: An Interpretable and Controllable Rain Generator	91
An Improved Non-Negative Latent Factor Model for Missing Data Estimation via Extragradient-Based Alternating Direction Method	91
Resilient Model Free Adaptive Distributed LFC for Multi-Area Power Systems Against Jamming Attacks	91
PPGF: Probability Pattern-Guided Time Series Forecasting	90
Deep Adversarial Inconsistent Cognitive Sampling for Multiview Progressive Subspace Clustering	90
Skeleton-Based Human Motion Prediction With Privileged Supervision	90
Accelerated Learning Control for Point-to-Point Tracking Systems	90
Multi-H∞ Controls for Unknown Input-Interference Nonlinear System With Reinforcement Learning	90
Context-Aware Learning for Generative Models	89
Intelligent Time-Scale Operator-Splitting Integration for Chemical Reaction Systems	89
PicassoNet: Searching Adaptive Architecture for Efficient Facial Landmark Localization	89
Cardinality Constrained Portfolio Optimization via Alternating Direction Method of Multipliers	89
Sparse Count Data Clustering Using an Exponential Approximation to Generalized Dirichlet Multinomial Distributions	88
Keep and Select: Improving Hierarchical Context Modeling for Multi-Turn Response Generation	88
Self-Supervised Deep Multiview Spectral Clustering	88
Finite-Time Passivity for Coupled Fractional-Order Neural Networks With Multistate or Multiderivative Couplings	87
Combining Optimal Path Search With Task-Dependent Learning in a Neural Network	87
Anti-Confounding Hashing: Enhancing Radiological Image Retrieval via Debiased Weighting and Counterfactual Reasoning	87
Neuroadaptive Control With Enhanced Stability and Reliability	86
Massive Ultrasonic Data Compression Using Wavelet Packet Transformation Optimized by Convolutional Autoencoders	86
An Uplink Communication-Efficient Approach to Featurewise Distributed Sparse Optimization With Differential Privacy	86
Learning Multi-Agent Cooperation via Considering Actions of Teammates	86
Bayesian-Learning-Based Diffusion Least Mean Square Algorithms Over Networks	86
On the Sufficient Condition for Solving the Gap-Filling Problem Using Deep Convolutional Neural Networks	86
Causal Optimal Transport for Treatment Effect Estimation	86
A Theoretical Insight Into the Effect of Loss Function for Deep Semantic-Preserving Learning	85
Explicit Margin Equilibrium for Few-Shot Object Detection	85
Progressively Learning to Reach Remote Goals by Continuously Updating Boundary Goals	85
IEEE Transactions on Neural Networks and Learning Systems Information for Authors	85
Disturbance-Aware Neuro-Optimal System Control Using Generative Adversarial Control Networks	84
CycleTrans: Learning Neutral Yet Discriminative Features via Cycle Construction for Visible- Infrared Person Re-Identification	84
An Explainable and Generalizable Recurrent Neural Network Approach for Differentiating Human Brain States on EEG Dataset	83
Temporal Encoding and Multispike Learning Framework for Efficient Recognition of Visual Patterns	83
Optimizing for In-Memory Deep Learning With Emerging Memory Technology	83
Security and Safety-Critical Learning-Based Collaborative Control for Multiagent Systems	83
Iterative Learning Model Predictive Control Based on Iterative Data-Driven Modeling	83
Similarity-Agnostic Contrastive Learning With Alterable Self-Supervision	83
Hierarchical Regression and Classification for Accurate Object Detection	83
Gait Quality Aware Network: Toward the Interpretability of Silhouette-Based Gait Recognition	82
Smart Machine Vision for Universal Spatial-Mode Reconstruction	82
Fully Complex-Valued Dendritic Neuron Model	82
Regularization Effect of Random Node Fault/Noise on Gradient Descent Learning Algorithm	82
Clustering Interval and Triangular Granular Data: Modeling, Execution, and Assessment	82
Retrieval-Augmented Few-Shot Medical Image Segmentation With Foundation Models	81
Flying Through a Narrow Gap Using End-to-End Deep Reinforcement Learning Augmented With Curriculum Learning and Sim2Real	81
Random Orthogonal Additive Filters: A Solution to the Vanishing/Exploding Gradient of Deep Neural Networks	81
A Novel k-Means Framework via Constrained Relaxation and Spectral Rotation	81
Bicriteria Sparse Nonnegative Matrix Factorization via Two-Timescale Duplex Neurodynamic Optimization	81
Novel Discrete-Time Recurrent Neural Network for Robot Manipulator: A Direct Discretization Technical Route	81
An Inexact Sequential Quadratic Programming Method for Learning and Control of Recurrent Neural Networks	80
Cosine 2DPCA With Weighted Projection Maximization	80
Exponential Asynchronous Stabilization for Delayed Semi-Markovian Neural Networks via DAEIC	80
Biphasic Face Photo-Sketch Synthesis via Semantic-Driven Generative Adversarial Network With Graph Representation Learning	79
Optimal Control for Constrained Discrete-Time Nonlinear Systems Based on Safe Reinforcement Learning	79
A New Looped Functional to Synchronize Neural Networks With Sampled-Data Control	79
Unsupervised Deep Tensor Network for Hyperspectral–Multispectral Image Fusion	78
Further Results on Optimal Tracking Control for Nonlinear Systems With Nonzero Equilibrium via Adaptive Dynamic Programming	78
Interactive Prognosis Framework Between Deep Learning and a Stochastic Process Model for Remaining Useful Life Prediction	77
Clinical Prompt Learning With Frozen Language Models	77
Observer-Based NN Control for Nonlinear Systems With Full-State Constraints and External Disturbances	77
Memory-Efficient Class-Incremental Learning for Image Classification	76
One-Step Multiview Clustering via Adaptive Graph Learning and Spectral Rotation	76
Learned Gradient Compression for Distributed Deep Learning	76
Multiagent Soft Actor-Critic Based Hybrid Motion Planner for Mobile Robots	76
Degradation Alignment in Remaining Useful Life Prediction Using Deep Cycle-Consistent Learning	76
A Unified Framework Based on Graph Consensus Term for Multiview Learning	75
Synaptic Weight Evolution and Charge Trapping Mechanisms in a Synaptic Pass-Transistor Operation With a Direct Potential Output	75
Convolutional Neural Networks for Spherical Signal Processing via Area-Regular Spherical Haar Tight Framelets	75
Adaptive Integral Sliding Mode Control Using Fully Connected Recurrent Neural Network for Position and Attitude Control of Quadrotor	75
The Optimization of Control Parameters: Finite-Time Bipartite Synchronization of Memristive Neural Networks With Multiple Time Delays via Saturation Function	74
Spatiotemporal Decouple-and-Squeeze Contrastive Learning for Semisupervised Skeleton-Based Action Recognition	74
Discrete-Time Signatures and Randomness in Reservoir Computing	74
Discriminative Regression With Adaptive Graph Diffusion	74
Reverse Graph Learning for Graph Neural Network	74
Wavelet Transformer: An Effective Method on Multiple Periodic Decomposition for Time Series Forecasting	73
Data-Driven Internal Model Learning Control for Nonlinear Systems	73
SIN: Semantic Inference Network for Few-Shot Streaming Label Learning	73
Composite-Learning-Based Adaptive Neural Control for Dual-Arm Robots With Relative Motion	73
Complete Stability of Delayed Recurrent Neural Networks With New Wave-Type Activation Functions	72
Exponential Synchronization of Coupled Inertial Neural Networks With Hybrid Delays and Stochastic Impulses	72
Exponentially Synchronous Results for Delayed Neural Networks With Leakage Delay via Switched Delay Idea and AED-ADT Method	72
Formulating and Representing Multiagent Systems With Hypergraphs	72
Event-Triggered Communication Network With Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning	72
GBRS: A Unified Granular-Ball Learning Model of Pawlak Rough Set and Neighborhood Rough Set	72
SAM-Med3D: A Vision Foundation Model for General-Purpose Segmentation on Volumetric Medical Images	72
Safety-Critical Containment Maneuvering of Underactuated Autonomous Surface Vehicles Based on Neurodynamic Optimization With Control Barrier Functions	71
IEEE Computational Intelligence Society Information	71
Hierarchical Self-Attention Network for Industrial Data Series Modeling With Different Sampling Rates Between the Input and Output Sequences	71
Analysis and Design of a Distributed kWTA With Application in Sealed-Bid Auctions With Bidding Price Privacy Protection	70