IEEE Transactions on Neural Networks and Learning Systems

Article	Citations
IEEE Transactions on Neural Networks and Learning Systems Information for Authors	3244
Table of Contents	1643
IEEE Computational Intelligence Society Information	1401
End-to-End Streaming Video Temporal Action Segmentation With Reinforcement Learning	767
Analytical Bounds on the Local Lipschitz Constants of ReLU Networks	651
On the Size and Width of the Decoder of a Boolean Threshold Autoencoder	559
Achieving Sharp Upper Bounds on the Expressive Power of Neural Networks via Tropical Polynomials	452
Single-Frame-Based Deep View Synchronization for Unsynchronized Multicamera Surveillance	429
Altruistic Collaborative Learning	395
Efficient Approximations for Matrix-Based Rényi’s Entropy on Sequential Data	340
Deep-Growing Neural Network With Manifold Constraints for Hyperspectral Image Classification	337
Local Causal Discovery in Multiple Manipulated Datasets	308
Simulation-Aided Handover Prediction From Video Using Recurrent Image-to-Motion Networks	292
A Novel Formulation of Trace Ratio Linear Discriminant Analysis	279
Automated Anomaly Detection via Curiosity-Guided Search and Self-Imitation Learning	271
Neuro-Optimal Event-Triggered Impulsive Control for Stochastic Systems via ADP	256
Underexposed Image Correction via Hybrid Priors Navigated Deep Propagation	250
A Distributed Proximal Consensus Algorithm for Energy Saving in Ethylene Production	249
A Novel Generator With Auxiliary Branch for Improving GAN Performance	246
Learning Sequential Variation Information for Dynamic Facial Expression Recognition	242
Colorization-Inspired Customized Low-Light Image Enhancement by a Decoupled Network	231
Learning Single Spectral Abundance for Hyperspectral Subpixel Target Detection	230
Efficient Spiking Neural Networks With Radix Encoding	229
Consensus of Stochastic Dynamical Multiagent Systems in Directed Networks via PI Protocols	224
Hierarchical Graph Convolutional Network Built by Multiscale Atlases for Brain Disorder Diagnosis Using Functional Connectivity	221

From Cluster Assumption to Graph Convolution: Graph-Based Semi-Supervised Learning Revisited	221
Empowering the Diversity and Individuality of Option: Residual Soft Option Critic Framework	216
Chain-Structure Echo State Network With Stochastic Optimization: Methodology and Application	208
Parameterized Luenberger-TypeH∞State Estimator for Delayed Static Neural Networks	204
A Study on Truncated Newton Methods for Linear Classification	198
Backdoor Attacks and Countermeasures in Natural Language Processing Models: A Comprehensive Security Review	197
Unsupervised Skill Discovery Through Skill Regions Differentiation	193
PGFormer: A Prototype-Graph Transformer for Incomplete Multiview Clustering	189
Deep Learning for Visual Localization and Mapping: A Survey	186
Open Set Domain Adaptation via Joint Alignment and Category Separation	185
A Weighted Heterogeneous Graph-Based Dialog System	184
Constructing Accurate and Efficient Deep Spiking Neural Networks With Double-Threshold and Augmented Schemes	183
Learning Unified Anchor Graph for Joint Clustering of Hyperspectral and LiDAR Data	182
MUSIC: Accelerated Convergence for Distributed Optimization With Inexact and Exact Methods	181
Three-Stage Semisupervised Cross-Modal Hashing With Pairwise Relations Exploitation	181
Discovering Spatiotemporal–Individual Coupled Features From Nonstandard Tensors—A Novel Dynamic Graph Mixer Approach	180
IEEE Computational Intelligence Society	180
Proportional–Integral Observer-Based State Estimation for Singularly Perturbed Complex Networks With Cyberattacks	176
An Efficient Graph Learning System for Emotion Recognition Inspired by the Cognitive Prior Graph of EEG Brain Network	176
Simple and Effective: Spatial Rescaling for Person Reidentification	176
Subspace Clustering via Structured Sparse Relation Representation	176
Learning Aligned Vertex Convolutional Networks for Graph Classification	175
A Shadow Imaging Bilinear Model and Three-Branch Residual Network for Shadow Removal	174
Domain Adaptation via Prompt Learning	173
MGEL: Multigrained Representation Analysis and Ensemble Learning for Text Moderation	168
2-D Transformer: Extending Large Language Models to Long-Context With Few Memory	165
Improved Stability Criteria for Delayed Neural Networks Using a Quadratic Function Negative-Definiteness Approach	165
Tensorizing GAN With High-Order Pooling for Alzheimer’s Disease Assessment	163
Improving Pretrained Language Model Fine-Tuning With Noise Stability Regularization	163
Depthwise Convolution for Multi-Agent Communication With Enhanced Mean-Field Approximation	161
H ∞Bipartite Synchronization of Double-Layer Markov Switched Cooperation-Competition Neural Networks: A Distributed Dynamic Event-Triggered Mechanism	160
Task-Oriented Robot Cognitive Manipulation Planning Using Affordance Segmentation and Logic Reasoning	154
SCMix: Stochastic Compound Mixing for Open Compound Domain Adaptation in Semantic Segmentation	152
DigNet: Digging Clues From Local–Global Interactive Graph for Aspect-Level Sentiment Classification	152
Penalizing the Hard Example But Not Too Much: A Strong Baseline for Fine-Grained Visual Classification	152
Integrating Clinical Knowledge Graphs and Gradient-Based Neural Systems for Enhanced Melanoma Diagnosis via the Seven-Point Checklist	151
Multistability of Almost Periodic Solutions for Fuzzy Competitive NNs With Time-Varying Delays	151
Conservative Novelty Synthesizing Network for Malware Recognition in an Open-Set Scenario	150
Status-Aware Signed Heterogeneous Network Embedding With Graph Neural Networks	149
AEVAE: Adaptive Evolutionary Autoencoder for Anomaly Detection in Time Series	148
LMFE: Learning-Based Multiscale Feature Engineering in Partial Discharge Detection	148
Theoretical Advances on Stochastic Configuration Networks	147
Heterogeneous Multidomain Recommender System Through Adversarial Learning	146
SinKD: Sinkhorn Distance Minimization for Knowledge Distillation	146
Designing Efficient Bit-Level Sparsity-Tolerant Memristive Networks	145
Graph-Based Unsupervised Feature Selection for Interval-Valued Information System	142
BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance	141
Variable Gain Impulsive Synchronization for Discrete-Time Delayed Neural Networks and Its Application in Digital Secure Communication	140
Point-DAE: Denoising Autoencoders for Self-Supervised Point Cloud Learning	140
Adaptive Event-Triggered Bipartite Formation for Multiagent Systems via Reinforcement Learning	137

LFT: Neural Ordinary Differential Equations With Learnable Final-Time	134
DenseKD: Dense Knowledge Distillation by Exploiting Region and Sample Importance	133
Effective Streaming Low-Tubal-Rank Tensor Approximation via Frequent Directions	133
ResDNet: Efficient Dense Multi-Scale Representations With Residual Learning for High-Level Vision Tasks	133
Power Law in Deep Neural Networks: Sparse Network Generation and Continual Learning With Preferential Attachment	132
Efficient Linear Discriminant Analysis Based on Randomized Low-Rank Approaches	132
Attention-Based Real Image Restoration	131
Soft Sensing for Time Series With Irregular Sampling Internals Based on a Denoising Interval Attention LSTM Network	131
Evolving Memristive Reservoir	129
Event-Triggered Synchronization of Multiple Fractional-Order Recurrent Neural Networks With Time-Varying Delays	129
Interpretable Model-Driven Deep Network for Hyperspectral, Multispectral, and Panchromatic Image Fusion	129
Projective Synchronization for Uncertain Fractional Reaction-Diffusion Systems via Adaptive Sliding Mode Control Based on Finite-Time Scheme	128
Scalable Inverse Reinforcement Learning Through Multifidelity Bayesian Optimization	128
A Hybrid CMOS-Memristor Spiking Neural Network Supporting Multiple Learning Rules	127
Recurrent Neural Dynamics Models for Perturbed Nonstationary Quadratic Programs: A Control-Theoretical Perspective	127
Representation-Learning-Based CNN for Intelligent Attack Localization and Recovery of Cyber-Physical Power Systems	126
Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning	126
Adaptive Weighted Ranking-Oriented Label Distribution Learning	125
Local Anomaly Detection for Multivariate Time Series by Temporal Dependency Based on Poisson Model	124
Exploring Dynamic Transformer for Efficient Object Tracking	123
Spatiotemporal Transformation-Based Neural Network With Interpretable Structure for Modeling Distributed Parameter Systems	123
Manifold Interpolation for Large-Scale Multiobjective Optimization via Generative Adversarial Networks	122
Deep Learning and Symbolic Regression for Discovering Parametric Equations	122
Visual Reinforcement Learning Control With Instance-Reweighted Alignment and Instance-Dimension Uniformity	121
Convolution Filter Compression via Sparse Linear Combinations of Quantized Basis	121
Multiview Classification Through Learning From Interval-Valued Data	120
Hierarchical Deep Reinforcement Learning-Based Propofol Infusion Assistant Framework in Anesthesia	120
Semantic Consistency Reasoning for 3-D Object Detection in Point Clouds	119
Source-Free Active Domain Adaptation via Augmentation-Based Sample Query and Progressive Model Adaptation	118
Protecting Deep Learning Model Copyrights With Adversarial Example-Free Reuse Detection	118
Agglomerative Neural Networks for Multiview Clustering	117
Inverse Reinforcement Learning for Adversarial Apprentice Games	116
Modified RNN for Solving Comprehensive Sylvester Equation With TDOA Application	116
Rethinking Pretraining as a Bridge From ANNs to SNNs	115
Neural Adaptive Intermittent Output Feedback Control for Autonomous Underwater Vehicles With Full-State Quantitative Designs	114
Cross-Modal Remote Sensing Image–Text Retrieval via Context and Uncertainty-Aware Prompt	114
TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks	114
Wormhole Dynamics in Deep Neural Networks	114
Robust Symbol Detection Based on Quaternion Neural Networks in Wireless Polarization-Shift-Keying Communications	114
Self-Constructing Fuzzy Neural Fractional-Order Sliding Mode Control of Active Power Filter	113
Spectral Embedding Representation Based on Random Anchor Graph Aggregation	112
Transfer Learning-Motivated Intelligent Fault Diagnosis Designs: A Survey, Insights, and Perspectives	111
Adaptive Neural Coordinated Control for Multiple Euler-Lagrange Systems With Periodic Event-Triggered Sampling	111
Robust and Sparse Principal Component Analysis With Adaptive Loss Minimization for Feature Selection	111
Deep Reinforcement Learning for Cyber Security	110
Interest HD: An Interest Frame Model for Recommendation Based on HD Image Generation	109
DualGCN: Exploring Syntactic and Semantic Information for Aspect-Based Sentiment Analysis	108
A Novel Data Augmentation Method Based on CoralGAN for Prediction of Part Surface Roughness	108
Granular Ball Sampling for Noisy Label Classification or Imbalanced Classification	107
Stochastically Controlled Compositional Gradient for Composition Problems	107
Federated Generalized Face Presentation Attack Detection	107
A Dini-Derivative-Aided Zeroing Neural Network for Time-Variant Quadratic Programming Involving Multi-Type Constraints With Robotic Applications	107
Koopman-Based MPC With Learned Dynamics: Hierarchical Neural Network Approach	107
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS Publication Information	106
Neural Network Output-Feedback Consensus Fault-Tolerant Control for Nonlinear Multiagent Systems With Intermittent Actuator Faults	106
Table of Contents	105
IEEE Transactions on Neural Networks and Learning Systems Publication Information	105
IEEE Transactions on Neural Networks and Learning Systems Publication Information	104
Random Orthogonal Additive Filters: A Solution to the Vanishing/Exploding Gradient of Deep Neural Networks	103
Optimizing for In-Memory Deep Learning With Emerging Memory Technology	103
Exponential Asynchronous Stabilization for Delayed Semi-Markovian Neural Networks via DAEIC	103
Progressively Learning to Reach Remote Goals by Continuously Updating Boundary Goals	102
IEEE Transactions on Neural Networks and Learning Systems Information for Authors	101
Similarity-Agnostic Contrastive Learning With Alterable Self-Supervision	101
Robust PID-Type Iterative Learning Control for Nonlinear Square and Nonsquare Systems	101
Explicit Margin Equilibrium for Few-Shot Object Detection	101
An Interpretable Neural Control Network With Adaptable Online Learning for Sample Efficient Robot Locomotion Learning	100
TRG-Net: An Interpretable and Controllable Rain Generator	100
Optimal Control for Constrained Discrete-Time Nonlinear Systems Based on Safe Reinforcement Learning	99
Skeleton-Based Human Motion Prediction With Privileged Supervision	99
Sparse Count Data Clustering Using an Exponential Approximation to Generalized Dirichlet Multinomial Distributions	99
Self-Supervised Deep Multiview Spectral Clustering	99
Neuroadaptive Control With Enhanced Stability and Reliability	99
Smart Machine Vision for Universal Spatial-Mode Reconstruction	98
A Novel k-Means Framework via Constrained Relaxation and Spectral Rotation	97
Regularization Effect of Random Node Fault/Noise on Gradient Descent Learning Algorithm	97
A Novel Fusion and Feature Selection Framework for Multisource Time-Series Data Based on Information Entropy	97
Reinforcement Learning From Hierarchical Critics	96
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS Publication Information	96
Dual Parallel Policy Iteration With Coupled Policy Improvement	96

Privacy-Aware Data Acquisition Under Data Similarity in Regression Markets	96
Two-Time Scale Tracking Control of Flexible Robots With Primal-Dual Inverse Reinforcement Learning	96
Cosine 2DPCA With Weighted Projection Maximization	96
Targeted Collapse Regularized Autoencoder for Anomaly Detection: Black Hole at the Center	96
Multiple Guidance Network for Industrial Product Surface Inspection With One Labeled Target Sample	96
Exponential Stability of Impulsive Timescale-Type Nonautonomous Neural Networks With Discrete Time-Varying and Infinite Distributed Delays	96
Bayesian-Learning-Based Diffusion Least Mean Square Algorithms Over Networks	95
Combining Optimal Path Search With Task-Dependent Learning in a Neural Network	95
Learning Multi-Agent Cooperation via Considering Actions of Teammates	94
Hierarchical Regression and Classification for Accurate Object Detection	93
On the Sufficient Condition for Solving the Gap-Filling Problem Using Deep Convolutional Neural Networks	93
Accelerated Learning Control for Point-to-Point Tracking Systems	93
Massive Ultrasonic Data Compression Using Wavelet Packet Transformation Optimized by Convolutional Autoencoders	93
Finite-Time Passivity for Coupled Fractional-Order Neural Networks With Multistate or Multiderivative Couplings	92
Learned Gradient Compression for Distributed Deep Learning	92
Composite Learning Control of Overactuated Manned Submersible Vehicle With Disturbance/Uncertainty and Measurement Noise	92
The Optimization of Control Parameters: Finite-Time Bipartite Synchronization of Memristive Neural Networks With Multiple Time Delays via Saturation Function	92
Convolutional Neural Networks for Spherical Signal Processing via Area-Regular Spherical Haar Tight Framelets	92
A Unified Framework Based on Graph Consensus Term for Multiview Learning	92
Multi-H∞ Controls for Unknown Input-Interference Nonlinear System With Reinforcement Learning	92
Complete Stability of Delayed Recurrent Neural Networks With New Wave-Type Activation Functions	92
Exponential Synchronization of Coupled Inertial Neural Networks With Hybrid Delays and Stochastic Impulses	92
Security and Safety-Critical Learning-Based Collaborative Control for Multiagent Systems	92
Formulating and Representing Multiagent Systems With Hypergraphs	91
Cooperative Deep Q-Learning Framework for Environments Providing Image Feedback	91
Discrete-Time Signatures and Randomness in Reservoir Computing	91
An Inexact Sequential Quadratic Programming Method for Learning and Control of Recurrent Neural Networks	90
Cardinality Constrained Portfolio Optimization via Alternating Direction Method of Multipliers	90
Dual-Channel Adaptive Scale Hypergraph Encoders With Cross-View Contrastive Learning for Knowledge Tracing	90
Interactive Prognosis Framework Between Deep Learning and a Stochastic Process Model for Remaining Useful Life Prediction	90
Reverse Graph Learning for Graph Neural Network	89
Bicriteria Sparse Nonnegative Matrix Factorization via Two-Timescale Duplex Neurodynamic Optimization	89
Keep and Select: Improving Hierarchical Context Modeling for Multi-Turn Response Generation	89
Modularizing Deep Learning via Pairwise Learning With Kernels	88
Fully Complex-Valued Dendritic Neuron Model	88
Novel Discrete-Time Recurrent Neural Network for Robot Manipulator: A Direct Discretization Technical Route	88
Biphasic Face Photo-Sketch Synthesis via Semantic-Driven Generative Adversarial Network With Graph Representation Learning	87
Token-Bucket-Protocol-Based Recursive Remote State Estimation for Complex Networks Under Amplify-and-Forward Relays	87
Retrieval-Augmented Few-Shot Medical Image Segmentation With Foundation Models	87
Bidirectional Probabilistic Subspaces Approximation for Multiview Clustering	86
SNN-FT: Temporal-Coded Spiking Neural Networks for Fourier Transform	86
Anti-Confounding Hashing: Enhancing Radiological Image Retrieval via Debiased Weighting and Counterfactual Reasoning	86
A Cross-Client Coordinator in Federated Learning Framework for Conquering Heterogeneity	86
Hierarchical Self-Attention Network for Industrial Data Series Modeling With Different Sampling Rates Between the Input and Output Sequences	86
A Theoretical Insight Into the Effect of Loss Function for Deep Semantic-Preserving Learning	86
Further Results on Optimal Tracking Control for Nonlinear Systems With Nonzero Equilibrium via Adaptive Dynamic Programming	85
GMM Enhanced Anchor-Based Spectral Clustering for Large-Scale Data	85
Causal Optimal Transport for Treatment Effect Estimation	85
Discriminative Regression With Adaptive Graph Diffusion	84
Circuit Implementation and Quasi-Stabilization of Delayed Inertial Memristor-Based Neural Networks	84
SAM-Med3D: A Vision Foundation Model for General-Purpose Segmentation on Volumetric Medical Images	84
State Estimation for Discrete Time-Delayed Impulsive Neural Networks Under Communication Constraints: A Delay-Range-Dependent Approach	84
Inducing Neural Collapse via Anticlasses and One-Cold Cross-Entropy Loss	84
An Online Active Broad Learning Approach for Real-Time Safety Assessment of Dynamic Systems in Nonstationary Environments	83
An Explainable and Generalizable Recurrent Neural Network Approach for Differentiating Human Brain States on EEG Dataset	83
PicassoNet: Searching Adaptive Architecture for Efficient Facial Landmark Localization	83
SIN: Semantic Inference Network for Few-Shot Streaming Label Learning	83
Clustering Interval and Triangular Granular Data: Modeling, Execution, and Assessment	83
DMESH: A Structure-Preserving Diffusion Model for 3-D Mesh Denoising	82
Semi-Supervised Breast Lesion Segmentation Using Confidence-Ranked Features and Bi-Level Prototypes	82
Data-Driven Internal Model Learning Control for Nonlinear Systems	82
Long-Term Tracking of Evasive Urban Target Based on Intention Inference and Deep Reinforcement Learning	81
One-Step Multiview Clustering via Adaptive Graph Learning and Spectral Rotation	81
Progressive Spatial Information-Guided Deep Aggregation Convolutional Network for Hyperspectral Spectral Super-Resolution	81
A New Looped Functional to Synchronize Neural Networks With Sampled-Data Control	81
Spatiotemporal Decouple-and-Squeeze Contrastive Learning for Semisupervised Skeleton-Based Action Recognition	80
Scale-Aware Super-Resolution Network With Dual Affinity Learning for Lesion Segmentation From Medical Images	80
Composite-Learning-Based Adaptive Neural Control for Dual-Arm Robots With Relative Motion	80
IronForge: An Open, Secure, Fair, Decentralized Federated Learning	80
A Node-Collaboration-Informed Graph Convolutional Network for Highly Accurate Representation to Undirected Weighted Graph	80
Event-Triggered Communication Network With Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning	80
Learning Cross-Attention Discriminators via Alternating Time–Space Transformers for Visual Tracking	79
Clinical Prompt Learning With Frozen Language Models	79
Adaptive Integral Sliding Mode Control Using Fully Connected Recurrent Neural Network for Position and Attitude Control of Quadrotor	79
Gait Quality Aware Network: Toward the Interpretability of Silhouette-Based Gait Recognition	79
PPGF: Probability Pattern-Guided Time Series Forecasting	79
HomLLM: Exploiting Semantic Homology Relationship for Fine-Grained Bird Image Classification via Large Language Models	78
Safe Adaptive Policy Transfer Reinforcement Learning for Distributed Multiagent Control	78
Uncertainty-Aware Aggregation for Federated Open Set Domain Adaptation	78
Generalized Subspace Coupling Approach for Robust Low-Tubal-Rank Tensor Completion	78
Deep Adversarial Inconsistent Cognitive Sampling for Multiview Progressive Subspace Clustering	78
CycleTrans: Learning Neutral Yet Discriminative Features via Cycle Construction for Visible- Infrared Person Re-Identification	77
Degradation Alignment in Remaining Useful Life Prediction Using Deep Cycle-Consistent Learning	77
An Improved Non-Negative Latent Factor Model for Missing Data Estimation via Extragradient-Based Alternating Direction Method	77
Flying Through a Narrow Gap Using End-to-End Deep Reinforcement Learning Augmented With Curriculum Learning and Sim2Real	77
Multiagent Soft Actor-Critic Based Hybrid Motion Planner for Mobile Robots	76
Exponentially Synchronous Results for Delayed Neural Networks With Leakage Delay via Switched Delay Idea and AED-ADT Method	76
Unsupervised Deep Tensor Network for Hyperspectral–Multispectral Image Fusion	76
Resilient Model Free Adaptive Distributed LFC for Multi-Area Power Systems Against Jamming Attacks	76
Observer-Based NN Control for Nonlinear Systems With Full-State Constraints and External Disturbances	75
Temporal Encoding and Multispike Learning Framework for Efficient Recognition of Visual Patterns	75
Memory-Efficient Class-Incremental Learning for Image Classification	75
GBRS: A Unified Granular-Ball Learning Model of Pawlak Rough Set and Neighborhood Rough Set	74
Self-Supervised Random Forest on Transformed Distribution for Anomaly Detection	74
Parameter-Free Multiview K-Means Clustering With Coordinate Descent Method	73