IEEE Transactions on Neural Networks and Learning Systems

Article	Citations
Convolution Filter Compression via Sparse Linear Combinations of Quantized Basis	2370
Table of Contents	1360
ResDNet: Efficient Dense Multi-Scale Representations With Residual Learning for High-Level Vision Tasks	1131
IEEE Transactions on Neural Networks and Learning Systems Information for Authors	650
Efficient Spiking Neural Networks With Radix Encoding	569
Interest HD: An Interest Frame Model for Recommendation Based on HD Image Generation	511
Consensus of Stochastic Dynamical Multiagent Systems in Directed Networks via PI Protocols	473
Single-Frame-Based Deep View Synchronization for Unsynchronized Multicamera Surveillance	452
Stochastically Controlled Compositional Gradient for Composition Problems	419
A Universal Framework for Learning the Elliptical Mixture Model	390
Outlier-Resistant Remote State Estimation for Recurrent Neural Networks With Mixed Time-Delays	373
Convolutional Neural Networks With Dynamic Regularization	302
Simulation-Aided Handover Prediction From Video Using Recurrent Image-to-Motion Networks	287
Spatiotemporal Graph Convolution Multifusion Network for Urban Vehicle Emission Prediction	249
Automated Anomaly Detection via Curiosity-Guided Search and Self-Imitation Learning	246
Altruistic Collaborative Learning	238
Graph-Based Unsupervised Feature Selection for Interval-Valued Information System	222
Multiview Classification Through Learning From Interval-Valued Data	220
Agglomerative Neural Networks for Multiview Clustering	216
Analytical Bounds on the Local Lipschitz Constants of ReLU Networks	214
Evolving Memristive Reservoir	211
LFT: Neural Ordinary Differential Equations With Learnable Final-Time	208
Robust Symbol Detection Based on Quaternion Neural Networks in Wireless Polarization-Shift-Keying Communications	207
Local Causal Discovery in Multiple Manipulated Datasets	206
Power Law in Deep Neural Networks: Sparse Network Generation and Continual Learning With Preferential Attachment	204

Rethinking Pretraining as a Bridge From ANNs to SNNs	203
Open Set Domain Adaptation via Joint Alignment and Category Separation	202
A Novel Data Augmentation Method Based on CoralGAN for Prediction of Part Surface Roughness	201
Heterogeneous Multidomain Recommender System Through Adversarial Learning	198
Nonergodic Complexity of Proximal Inertial Gradient Descents	189
AEVAE: Adaptive Evolutionary Autoencoder for Anomaly Detection in Time Series	185
Designing Efficient Bit-Level Sparsity-Tolerant Memristive Networks	183
A Distributed Proximal Consensus Algorithm for Energy Saving in Ethylene Production	183
Improving Pretrained Language Model Fine-Tuning With Noise Stability Regularization	176
On the Size and Width of the Decoder of a Boolean Threshold Autoencoder	172
Achieving Sharp Upper Bounds on the Expressive Power of Neural Networks via Tropical Polynomials	168
Penalizing the Hard Example But Not Too Much: A Strong Baseline for Fine-Grained Visual Classification	164
MGEL: Multigrained Representation Analysis and Ensemble Learning for Text Moderation	162
Efficient Approximations for Matrix-Based Rényi’s Entropy on Sequential Data	161
Hierarchical Deep Reinforcement Learning-Based Propofol Infusion Assistant Framework in Anesthesia	160
Depthwise Convolution for Multi-Agent Communication With Enhanced Mean-Field Approximation	160
Target Controllability in Multilayer Networks via Minimum-Cost Maximum-Flow Method	159
Deep-Growing Neural Network With Manifold Constraints for Hyperspectral Image Classification	155
Learning Single Spectral Abundance for Hyperspectral Subpixel Target Detection	152
Backdoor Attacks and Countermeasures in Natural Language Processing Models: A Comprehensive Security Review	152
Task-Oriented Robot Cognitive Manipulation Planning Using Affordance Segmentation and Logic Reasoning	151
Semantic Consistency Reasoning for 3-D Object Detection in Point Clouds	151
DenseKD: Dense Knowledge Distillation by Exploiting Region and Sample Importance	151
IEEE Computational Intelligence Society Information	147
Neuro-Optimal Event-Triggered Impulsive Control for Stochastic Systems via ADP	145
A Hybrid CMOS-Memristor Spiking Neural Network Supporting Multiple Learning Rules	145
MUSIC: Accelerated Convergence for Distributed Optimization With Inexact and Exact Methods	144
Attention-Based Real Image Restoration	144
Efficient Linear Discriminant Analysis Based on Randomized Low-Rank Approaches	144
Conservative Novelty Synthesizing Network for Malware Recognition in an Open-Set Scenario	140
Interpretable Model-Driven Deep Network for Hyperspectral, Multispectral, and Panchromatic Image Fusion	140
2-D Transformer: Extending Large Language Models to Long-Context With Few Memory	140
Empowering the Diversity and Individuality of Option: Residual Soft Option Critic Framework	138
Scalable Inverse Reinforcement Learning Through Multifidelity Bayesian Optimization	138
Adaptive Fusion of Heterogeneous Manifolds for Subspace Clustering	138
EDP: An Efficient Decomposition and Pruning Scheme for Convolutional Neural Network Compression	137
Cross-Modal Remote Sensing Image–Text Retrieval via Context and Uncertainty-Aware Prompt	136
Domain Adaptation via Prompt Learning	136
Deep Learning for Visual Localization and Mapping: A Survey	134
SinKD: Sinkhorn Distance Minimization for Knowledge Distillation	133
Adaptive Neural Coordinated Control for Multiple Euler-Lagrange Systems With Periodic Event-Triggered Sampling	133
A Weighted Heterogeneous Graph-Based Dialog System	132
BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance	131
Adaptive Event-Triggered Bipartite Formation for Multiagent Systems via Reinforcement Learning	130
Manifold Interpolation for Large-Scale Multiobjective Optimization via Generative Adversarial Networks	129
Proportional–Integral Observer-Based State Estimation for Singularly Perturbed Complex Networks With Cyberattacks	128
Neural Adaptive Intermittent Output Feedback Control for Autonomous Underwater Vehicles With Full-State Quantitative Designs	128
Spatiotemporal Transformation-Based Neural Network With Interpretable Structure for Modeling Distributed Parameter Systems	125
Learning Sequential Variation Information for Dynamic Facial Expression Recognition	125
Simple and Effective: Spatial Rescaling for Person Reidentification	125

Exploring Dynamic Transformer for Efficient Object Tracking	124
Hierarchical Graph Convolutional Network Built by Multiscale Atlases for Brain Disorder Diagnosis Using Functional Connectivity	123
Federated Generalized Face Presentation Attack Detection	123
From Cluster Assumption to Graph Convolution: Graph-Based Semi-Supervised Learning Revisited	123
Variable Gain Impulsive Synchronization for Discrete-Time Delayed Neural Networks and Its Application in Digital Secure Communication	123
Tensorizing GAN With High-Order Pooling for Alzheimer’s Disease Assessment	122
An Efficient Graph Learning System for Emotion Recognition Inspired by the Cognitive Prior Graph of EEG Brain Network	122
A Novel Generator With Auxiliary Branch for Improving GAN Performance	121
Improved Stability Criteria for Delayed Neural Networks Using a Quadratic Function Negative-Definiteness Approach	121
Representation-Learning-Based CNN for Intelligent Attack Localization and Recovery of Cyber-Physical Power Systems	117
Chain-Structure Echo State Network With Stochastic Optimization: Methodology and Application	117
End-to-End Streaming Video Temporal Action Segmentation With Reinforcement Learning	116
A Dini-Derivative-Aided Zeroing Neural Network for Time-Variant Quadratic Programming Involving Multi-Type Constraints With Robotic Applications	115
Colorization-Inspired Customized Low-Light Image Enhancement by a Decoupled Network	113
Learning Aligned Vertex Convolutional Networks for Graph Classification	113
A Study on Truncated Newton Methods for Linear Classification	113
Projective Synchronization for Uncertain Fractional Reaction-Diffusion Systems via Adaptive Sliding Mode Control Based on Finite-Time Scheme	112
Recurrent Neural Dynamics Models for Perturbed Nonstationary Quadratic Programs: A Control-Theoretical Perspective	112
Reservoir Computing Approaches for Representation and Classification of Multivariate Time Series	112
Event-Triggered Synchronization of Multiple Fractional-Order Recurrent Neural Networks With Time-Varying Delays	112
Visual Reinforcement Learning Control With Instance-Reweighted Alignment and Instance-Dimension Uniformity	111
Multistability of Almost Periodic Solutions for Fuzzy Competitive NNs With Time-Varying Delays	110
Effective Streaming Low-Tubal-Rank Tensor Approximation via Frequent Directions	109
Constructing Accurate and Efficient Deep Spiking Neural Networks With Double-Threshold and Augmented Schemes	109
Koopman-Based MPC With Learned Dynamics: Hierarchical Neural Network Approach	108
Neural Network Output-Feedback Consensus Fault-Tolerant Control for Nonlinear Multiagent Systems With Intermittent Actuator Faults	107
A Shadow Imaging Bilinear Model and Three-Branch Residual Network for Shadow Removal	107
DualGCN: Exploring Syntactic and Semantic Information for Aspect-Based Sentiment Analysis	107
Modified RNN for Solving Comprehensive Sylvester Equation With TDOA Application	106
Automated Social Text Annotation With Joint Multilabel Attention Networks	104
Inverse Reinforcement Learning for Adversarial Apprentice Games	104
Source-Free Active Domain Adaptation via Augmentation-Based Sample Query and Progressive Model Adaptation	104
Adaptive Developmental Resonance Network	104
TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks	104
Robust and Sparse Principal Component Analysis With Adaptive Loss Minimization for Feature Selection	104
A Novel Formulation of Trace Ratio Linear Discriminant Analysis	102
Subspace Clustering via Structured Sparse Relation Representation	102
Point-DAE: Denoising Autoencoders for Self-Supervised Point Cloud Learning	102
LMFE: Learning-Based Multiscale Feature Engineering in Partial Discharge Detection	101
Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning	101
Deep Learning and Symbolic Regression for Discovering Parametric Equations	101
Adaptive Weighted Ranking-Oriented Label Distribution Learning	101
Granular Ball Sampling for Noisy Label Classification or Imbalanced Classification	100
H ∞Bipartite Synchronization of Double-Layer Markov Switched Cooperation-Competition Neural Networks: A Distributed Dynamic Event-Triggered Mechanism	100
Self-Constructing Fuzzy Neural Fractional-Order Sliding Mode Control of Active Power Filter	99
Status-Aware Signed Heterogeneous Network Embedding With Graph Neural Networks	99
Three-Stage Semisupervised Cross-Modal Hashing With Pairwise Relations Exploitation	99
Parameterized Luenberger-TypeH∞State Estimator for Delayed Static Neural Networks	99
Learning Unified Anchor Graph for Joint Clustering of Hyperspectral and LiDAR Data	98
Underexposed Image Correction via Hybrid Priors Navigated Deep Propagation	98
Local Anomaly Detection for Multivariate Time Series by Temporal Dependency Based on Poisson Model	98
Transfer Learning-Motivated Intelligent Fault Diagnosis Designs: A Survey, Insights, and Perspectives	98
Deep Reinforcement Learning for Cyber Security	97
Privacy-Aware Data Acquisition Under Data Similarity in Regression Markets	96
Random Orthogonal Additive Filters: A Solution to the Vanishing/Exploding Gradient of Deep Neural Networks	96
DMESH: A Structure-Preserving Diffusion Model for 3-D Mesh Denoising	96
Smart Machine Vision for Universal Spatial-Mode Reconstruction	95
IEEE Transactions on Neural Networks and Learning Systems Publication Information	95
A Novel Fusion and Feature Selection Framework for Multisource Time-Series Data Based on Information Entropy	95
IEEE Computational Intelligence Society Information	95
Table of Contents	95
Wavelet Transformer: An Effective Method on Multiple Periodic Decomposition for Time Series Forecasting	94
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS Publication Information	94
Biphasic Face Photo-Sketch Synthesis via Semantic-Driven Generative Adversarial Network With Graph Representation Learning	93
Neuroadaptive Control With Enhanced Stability and Reliability	93
IEEE Transactions on Neural Networks and Learning Systems Publication Information	92
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS Publication Information	92
Exponentially Synchronous Results for Delayed Neural Networks With Leakage Delay via Switched Delay Idea and AED-ADT Method	92
Composite-Learning-Based Adaptive Neural Control for Dual-Arm Robots With Relative Motion	92
Observer-Based NN Control for Nonlinear Systems With Full-State Constraints and External Disturbances	91
Multiagent Soft Actor-Critic Based Hybrid Motion Planner for Mobile Robots	91
Bidirectional Probabilistic Subspaces Approximation for Multiview Clustering	91
Massive Ultrasonic Data Compression Using Wavelet Packet Transformation Optimized by Convolutional Autoencoders	90
An Online Active Broad Learning Approach for Real-Time Safety Assessment of Dynamic Systems in Nonstationary Environments	90
One-Step Multiview Clustering via Adaptive Graph Learning and Spectral Rotation	90
Multiple Guidance Network for Industrial Product Surface Inspection With One Labeled Target Sample	90
Accelerated Learning Control for Point-to-Point Tracking Systems	89
Long-Term Tracking of Evasive Urban Target Based on Intention Inference and Deep Reinforcement Learning	89
Dual-Channel Adaptive Scale Hypergraph Encoders With Cross-View Contrastive Learning for Knowledge Tracing	89
Complete Stability of Delayed Recurrent Neural Networks With New Wave-Type Activation Functions	88

Learned Gradient Compression for Distributed Deep Learning	88
Self-Supervised Random Forest on Transformed Distribution for Anomaly Detection	88
A New Looped Functional to Synchronize Neural Networks With Sampled-Data Control	87
Novel Discrete-Time Recurrent Neural Network for Robot Manipulator: A Direct Discretization Technical Route	87
Flying Through a Narrow Gap Using End-to-End Deep Reinforcement Learning Augmented With Curriculum Learning and Sim2Real	87
Resilient Model Free Adaptive Distributed LFC for Multi-Area Power Systems Against Jamming Attacks	87
An Interpretable Neural Control Network With Adaptable Online Learning for Sample Efficient Robot Locomotion Learning	86
Discrete-Time Signatures and Randomness in Reservoir Computing	86
Security and Safety-Critical Learning-Based Collaborative Control for Multiagent Systems	86
Learning Cross-Attention Discriminators via Alternating Time–Space Transformers for Visual Tracking	86
Synaptic Weight Evolution and Charge Trapping Mechanisms in a Synaptic Pass-Transistor Operation With a Direct Potential Output	86
SIN: Semantic Inference Network for Few-Shot Streaming Label Learning	86
Interactive Prognosis Framework Between Deep Learning and a Stochastic Process Model for Remaining Useful Life Prediction	86
A Unified Framework Based on Graph Consensus Term for Multiview Learning	85
An Explainable and Generalizable Recurrent Neural Network Approach for Differentiating Human Brain States on EEG Dataset	85
Memory-Efficient Class-Incremental Learning for Image Classification	85
Two-Time Scale Tracking Control of Flexible Robots With Primal-Dual Inverse Reinforcement Learning	85
Further Results on Optimal Tracking Control for Nonlinear Systems With Nonzero Equilibrium via Adaptive Dynamic Programming	84
Targeted Collapse Regularized Autoencoder for Anomaly Detection: Black Hole at the Center	84
Learning Multi-Agent Cooperation via Considering Actions of Teammates	84
Toward Discriminating and Synthesizing Motion Traces Using Deep Probabilistic Generative Models	84
Cooperative Deep Q-Learning Framework for Environments Providing Image Feedback	84
Bicriteria Sparse Nonnegative Matrix Factorization via Two-Timescale Duplex Neurodynamic Optimization	83
GBRS: A Unified Granular-Ball Learning Model of Pawlak Rough Set and Neighborhood Rough Set	83
Simultaneous Global and Local Graph Structure Preserving for Multiple Kernel Clustering	83
Clinical Prompt Learning With Frozen Language Models	83
Exponential Stability of Impulsive Timescale-Type Nonautonomous Neural Networks With Discrete Time-Varying and Infinite Distributed Delays	82
Event-Triggered Communication Network With Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning	82
Dual Parallel Policy Iteration With Coupled Policy Improvement	82
CASNet: A Cross-Attention Siamese Network for Video Salient Object Detection	82
Multi-H∞ Controls for Unknown Input-Interference Nonlinear System With Reinforcement Learning	82
Composite Learning Control of Overactuated Manned Submersible Vehicle With Disturbance/Uncertainty and Measurement Noise	82
PPGF: Probability Pattern-Guided Time Series Forecasting	81
Skeleton-Based Human Motion Prediction With Privileged Supervision	81
Scale-Aware Super-Resolution Network With Dual Affinity Learning for Lesion Segmentation From Medical Images	81
Deep Adversarial Inconsistent Cognitive Sampling for Multiview Progressive Subspace Clustering	80
Regularization Effect of Random Node Fault/Noise on Gradient Descent Learning Algorithm	80
PicassoNet: Searching Adaptive Architecture for Efficient Facial Landmark Localization	80
State Estimation for Discrete Time-Delayed Impulsive Neural Networks Under Communication Constraints: A Delay-Range-Dependent Approach	80
A Theoretical Insight Into the Effect of Loss Function for Deep Semantic-Preserving Learning	80
Intelligent Time-Scale Operator-Splitting Integration for Chemical Reaction Systems	80
Disturbance-Aware Neuro-Optimal System Control Using Generative Adversarial Control Networks	79
Context-Aware Learning for Generative Models	79
An Uplink Communication-Efficient Approach to Featurewise Distributed Sparse Optimization With Differential Privacy	79
Cardinality Constrained Portfolio Optimization via Alternating Direction Method of Multipliers	79
Exponential Synchronization of Coupled Inertial Neural Networks With Hybrid Delays and Stochastic Impulses	78
Explicit Margin Equilibrium for Few-Shot Object Detection	78
Hierarchical Self-Attention Network for Industrial Data Series Modeling With Different Sampling Rates Between the Input and Output Sequences	78
Keep and Select: Improving Hierarchical Context Modeling for Multi-Turn Response Generation	78
Self-Supervised Deep Multiview Spectral Clustering	78
Optimizing for In-Memory Deep Learning With Emerging Memory Technology	78
Sparse Count Data Clustering Using an Exponential Approximation to Generalized Dirichlet Multinomial Distributions	78
Data-Driven Internal Model Learning Control for Nonlinear Systems	77
Combining Optimal Path Search With Task-Dependent Learning in a Neural Network	77
Cosine 2DPCA With Weighted Projection Maximization	77
An Inexact Sequential Quadratic Programming Method for Learning and Control of Recurrent Neural Networks	77
IronForge: An Open, Secure, Fair, Decentralized Federated Learning	77
Clustering Interval and Triangular Granular Data: Modeling, Execution, and Assessment	76
A Node-Collaboration-Informed Graph Convolutional Network for Highly Accurate Representation to Undirected Weighted Graph	76
Uncertainty-Aware Aggregation for Federated Open Set Domain Adaptation	76
Exponential Asynchronous Stabilization for Delayed Semi-Markovian Neural Networks via DAEIC	76
Finite-Time Passivity for Coupled Fractional-Order Neural Networks With Multistate or Multiderivative Couplings	76
Temporal Encoding and Multispike Learning Framework for Efficient Recognition of Visual Patterns	76
Token-Bucket-Protocol-Based Recursive Remote State Estimation for Complex Networks Under Amplify-and-Forward Relays	76
Progressively Learning to Reach Remote Goals by Continuously Updating Boundary Goals	75
Convolutional Neural Networks for Spherical Signal Processing via Area-Regular Spherical Haar Tight Framelets	75
Anti-Confounding Hashing: Enhancing Radiological Image Retrieval via Debiased Weighting and Counterfactual Reasoning	75
Optimal Control for Constrained Discrete-Time Nonlinear Systems Based on Safe Reinforcement Learning	75
Adaptive Integral Sliding Mode Control Using Fully Connected Recurrent Neural Network for Position and Attitude Control of Quadrotor	75
Safe Adaptive Policy Transfer Reinforcement Learning for Distributed Multiagent Control	75
An Improved Non-Negative Latent Factor Model for Missing Data Estimation via Extragradient-Based Alternating Direction Method	75
Bayesian-Learning-Based Diffusion Least Mean Square Algorithms Over Networks	74
Gait Quality Aware Network: Toward the Interpretability of Silhouette-Based Gait Recognition	74
Hierarchical Regression and Classification for Accurate Object Detection	73
CycleTrans: Learning Neutral Yet Discriminative Features via Cycle Construction for Visible- Infrared Person Re-Identification	73
Spatiotemporal Decouple-and-Squeeze Contrastive Learning for Semisupervised Skeleton-Based Action Recognition	73
Modularizing Deep Learning via Pairwise Learning With Kernels	73
Formulating and Representing Multiagent Systems With Hypergraphs	73
Causal Optimal Transport for Treatment Effect Estimation	73
A Novel k-Means Framework via Constrained Relaxation and Spectral Rotation	73
Reinforcement Learning From Hierarchical Critics	73
Progressive Spatial Information-Guided Deep Aggregation Convolutional Network for Hyperspectral Spectral Super-Resolution	72
Unsupervised Deep Tensor Network for Hyperspectral–Multispectral Image Fusion	72
Discriminative Regression With Adaptive Graph Diffusion	72
Degradation Alignment in Remaining Useful Life Prediction Using Deep Cycle-Consistent Learning	71
Circuit Implementation and Quasi-Stabilization of Delayed Inertial Memristor-Based Neural Networks	71
A Cross-Client Coordinator in Federated Learning Framework for Conquering Heterogeneity	71
Iterative Learning Model Predictive Control Based on Iterative Data-Driven Modeling	71
Qualitative Analysis and Bifurcation in a Neuron System With Memristor Characteristics and Time Delay	71
The Optimization of Control Parameters: Finite-Time Bipartite Synchronization of Memristive Neural Networks With Multiple Time Delays via Saturation Function	71
Adaptive Synchronization of Fractional-Order Output-Coupling Neural Networks via Quantized Output Control	70
StateNet: Deep State Learning for Robust Feature Matching of Remote Sensing Images	69
IEEE Computational Intelligence Society Information	69
Fully Complex-Valued Dendritic Neuron Model	69
Reverse Graph Learning for Graph Neural Network	69