ACM Transactions on Intelligent Systems and Technology

Article	Citations
An Attentive Survey of Attention Models	321
Federated Learning for Healthcare: Systematic Review and Architecture Proposal	198
A Survey on Evaluation of Large Language Models	197
A Survey on Text Classification: From Traditional to Deep Learning	121
Self-weighted Robust LDA for Multiclass Classification with Edge Classes	73
Dynamic Planning of Bicycle Stations in Dockless Public Bicycle-sharing System Using Gated Graph Neural Network	72
Trustworthy AI: A Computational Perspective	56
Explainability for Large Language Models: A Survey	50
GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning	49
Federated Social Recommendation with Graph Neural Network	48
FedBERT: When Federated Learning Meets Pre-training	45
Generative Adversarial Networks for Spatio-temporal Data: A Survey	43
Graph Neural Networks: Taxonomy, Advances, and Trends	42
Federated Learning for Electronic Health Records	40
A Comprehensive Survey of the Key Technologies and Challenges Surrounding Vehicular Ad Hoc Networks	40
GRNN: Generative Regression Neural Network—A Data Leakage Attack for Federated Learning	35
Multivariate Correlation-aware Spatio-temporal Graph Convolutional Networks for Multi-scale Traffic Prediction	33
Communication-Efficient Federated Learning with Adaptive Quantization	33
Predicting Attributes of Nodes Using Network Structure	33
A Survey of AIOps Methods for Failure Management	31
A Novel Multi-task Tensor Correlation Neural Network for Facial Attribute Prediction	30
PSDF: Privacy-aware IoV Service Deployment with Federated Learning in Cloud-Edge Computing	27
Indirectly Supervised Anomaly Detection of Clinically Meaningful Health Events from Smart Home Data	26
TWIST-GAN: Towards Wavelet Transform and Transferred GAN for Spatio-Temporal Single Image Super Resolution	26
FedCVT: Semi-supervised Vertical Federated Learning with Cross-view Training	25

RHUPS	25
A Comprehensive Survey on Model Quantization for Deep Neural Networks in Image Classification	24
FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings	24
StarFL: Hybrid Federated Learning Architecture for Smart Urban Computing	22
MVGAN: Multi-View Graph Attention Network for Social Event Detection	21
Multi-Stage Fusion and Multi-Source Attention Network for Multi-Modal Remote Sensing Image Segmentation	21
A Survey on Graph Representation Learning Methods	21
An Efficient Learning Framework for Federated XGBoost Using Secret Sharing and Distributed Optimization	20
FedCTR: Federated Native Ad CTR Prediction with Cross-platform User Behavior Data	20
Deep Learning Thermal Image Translation for Night Vision Perception	20
CoPhy -PGNN: Learning Physics-guided Neural Networks with Competing Loss Functions for Solving Eigenvalue Problems	19
No Free Lunch Theorem for Security and Utility in Federated Learning	18
Semi-Synchronous Federated Learning for Energy-Efficient Training and Accelerated Convergence in Cross-Silo Settings	18
Federated Multi-view Learning for Private Medical Data Integration and Analysis	18
Route Optimization via Environment-Aware Deep Network and Reinforcement Learning	18
Deep Reinforcement Learning-based Trajectory Pricing on Ride-hailing Platforms	18
Domain Generalization for Activity Recognition via Adaptive Feature Fusion	17
Conditional Text Generation for Harmonious Human-Machine Interaction	17
Trustworthy Recommender Systems	17
Location-Centered House Price Prediction: A Multi-Task Learning Approach	16
UrbanKG: An Urban Knowledge Graph System	16
Active Learning for Effectively Fine-Tuning Transfer Learning to Downstream Task	16
Contrastive Trajectory Learning for Tour Recommendation	15
Bayesian Nonparametric Unsupervised Concept Drift Detection for Data Stream Mining	15
Passenger Mobility Prediction via Representation Learning for Dynamic Directed and Weighted Graphs	15
Trading Off Privacy, Utility, and Efficiency in Federated Learning	14
Recent Few-shot Object Detection Algorithms: A Survey with Performance Comparison	14
Privacy-preserving Point-of-interest Recommendation based on Simplified Graph Convolutional Network for Geological Traveling	14
Intelligent System of Game-Theory-Based Decision Making in Smart Sports Industry	13
A Comprehensive Survey of Grammatical Error Correction	13
Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges	13
A Dynamic Convolutional Neural Network Based Shared-Bike Demand Forecasting Model	12
Deep Spatio-temporal Adaptive 3D Convolutional Neural Networks for Traffic Flow Prediction	12
Reinforced Explainable Knowledge Concept Recommendation in MOOCs	12
The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems	12
Reinforcement Learning for Quantitative Trading	12
Multiview Common Subspace Clustering via Coupled Low Rank Representation	12
Federated Dynamic Graph Neural Networks with Secure Aggregation for Video-based Distributed Surveillance	12
Supply-Demand-aware Deep Reinforcement Learning for Dynamic Fleet Management	11
Session-based Hotel Recommendations Dataset	11
Quantized Adam with Error Feedback	11
Auto-weighted Robust Federated Learning with Corrupted Data Sources	11
Aspect-Aware Response Generation for Multimodal Dialogue System	11
Boosting Healthiness Exposure in Category-Constrained Meal Recommendation Using Nutritional Standards	11
Make More Connections: Urban Traffic Flow Forecasting with Spatiotemporal Adaptive Gated Graph Convolution Network	11
Spatio-temporal Graph Learning for Epidemic Prediction	11
A Computational Framework for Modeling Biobehavioral Rhythms from Mobile and Wearable Data Streams	10
TreeSketchNet: From Sketch to 3D Tree Parameters Generation	10
Pricing-aware Real-time Charging Scheduling and Charging Station Expansion for Large-scale Electric Buses	10
FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction	10

Spatial Variability Aware Deep Neural Networks (SVANN): A General Approach	10
Efficient Federated Matrix Factorization Against Inference Attacks	10
Fairness in Recommendation: Foundations, Methods, and Applications	10
Gray-Box Shilling Attack: An Adversarial Learning Approach	10
A Bibliometric Review of Large Language Models Research from 2017 to 2023	10
Industrial Federated Topic Modeling	10
Dual Graph Convolution Architecture Search for Travel Time Estimation	9
Selecting and Composing Learning Rate Policies for Deep Neural Networks	9
On Representation Learning for Road Networks	9
S3-Net: A Fast Scene Understanding Network by Single-Shot Segmentation for Autonomous Driving	9
Deep Learning Inferencing with High-performance Hardware Accelerators	9
Privacy Preservation for Trajectory Publication Based on Differential Privacy	9
Local Graph Edge Partitioning	9
What Can Knowledge Bring to Machine Learning?—A Survey of Low-shot Learning for Structured Data	9
Causal Mechanism Transfer Network for Time Series Domain Adaptation in Mechanical Systems	9
Crowd Flow Prediction for Irregular Regions with Semantic Graph Attention Network	9
Feature Grouping–based Trajectory Outlier Detection over Distributed Streams	9
CLC: A Consensus-based Label Correction Approach in Federated Learning	9
MetaStore: A Task-adaptative Meta-learning Model for Optimal Store Placement with Multi-city Knowledge Transfer	9
Doing More with Less: Overcoming Data Scarcity for POI Recommendation via Cross-Region Transfer	9
MetaDetector: Meta Event Knowledge Transfer for Fake News Detection	8
A GDPR-compliant Ecosystem for Speech Recognition with Transfer, Federated, and Evolutionary Learning	8
CrimeTensor : Fine-Scale Crime Prediction via Tensor Learning with Spatiotemporal Consistency	8
Dynamic Probabilistic Graphical Model for Progressive Fake News Detection on Social Media Platform	8
Dynamic-Aware Federated Learning for Face Forgery Video Detection	8
Detecting Extreme Traffic Events Via a Context Augmented Graph Autoencoder	8
Detecting and Analyzing Collusive Entities on YouTube	8
ReuseKNN: Neighborhood Reuse for Differentially Private KNN-Based Recommendations	8
SignDS-FL: Local Differentially Private Federated Learning with Sign-based Dimension Selection	8
Improving Availability of Vertical Federated Learning: Relaxing Inference on Non-overlapping Data	8
FLEE: A Hierarchical Federated Learning Framework for Distributed Deep Neural Network over Cloud, Edge, and End Device	8
Simultaneous Past and Current Social Interaction-aware Trajectory Prediction for Multiple Intelligent Agents in Dynamic Scenes	7
Urban Traffic Dynamics Prediction—A Continuous Spatial-temporal Meta-learning Approach	7
Contrastive Learning Models for Sentence Representations	7
Predicting Future Locations with Semantic Trajectories	7
Similar Trajectory Search with Spatio-Temporal Deep Representation Learning	7
Incorporation of Data-Mined Knowledge into Black-Box SVM for Interpretability	7
Significant DBSCAN+: Statistically Robust Density-based Clustering	7
Integrating Algorithmic Sampling-Based Motion Planning with Learning in Autonomous Driving	7
Predicting Human Mobility with Reinforcement-Learning-Based Long-Term Periodicity Modeling	7
Weakly Supervised Video Object Segmentation via Dual-attention Cross-branch Fusion	7
“In-Network Ensemble”: Deep Ensemble Learning with Diversified Knowledge Distillation	7
A Review on Source Code Documentation	7
Improved Fake Reviews Detection Model Based on Vertical Ensemble Tri-Training and Active Learning	7
Identifying Illicit Drug Dealers on Instagram with Large-scale Multimodal Data Fusion	6
Origin-Aware Location Prediction Based on Historical Vehicle Trajectories	6
INN: An Interpretable Neural Network for AI Incubation in Manufacturing	6
Temporal Hierarchical Graph Attention Network for Traffic Prediction	6
Self-supervised Short-text Modeling through Auxiliary Context Generation	6
A Camera Identity-guided Distribution Consistency Method for Unsupervised Multi-target Domain Person Re-identification	6
Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes	6
Efficient and Effective Similar Subtrajectory Search: A Spatial-aware Comprehension Approach	6
Steering-by-example for Progressive Visual Analytics	6
Cross-Silo Federated Learning for Multi-Tier Networks with Vertical and Horizontal Data Partitioning	6
Graph Sequence Neural Network with an Attention Mechanism for Traffic Speed Prediction	6
Fast Real-Time Video Object Segmentation with a Tangled Memory Network	6
What Your Next Check-in Might Look Like: Next Check-in Behavior Prediction	6
Enough Waiting for the Couriers: Learning to Estimate Package Pick-up Arrival Time from Couriers’ Spatial-Temporal Behaviors	6
You Are How You Use Apps: User Profiling Based on Spatiotemporal App Usage Behavior	6
BATS: A Spectral Biclustering Approach to Single Document Topic Modeling and Segmentation	6
Graph Neural Rough Differential Equations for Traffic Forecasting	6
MKEL: Multiple Kernel Ensemble Learning via Unified Ensemble Loss for Image Classification	6
Clustering-based Active Learning Classification towards Data Stream	6
Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation	6
PARP: A Parallel Traffic Condition Driven Route Planning Model on Dynamic Road Networks	5
Shifting Capsule Networks from the Cloud to the Deep Edge	5
An Uncertainty-based Neural Network for Explainable Trajectory Segmentation	5
Budget Distributed Support Vector Machine for Non-ID Federated Learning Scenarios	5
Weakly Supervised Spatial Deep Learning for Earth Image Segmentation Based on Imperfect Polyline Labels	5
Robust Dimensionality Reduction via Low-rank Laplacian Graph Learning	5
Utility-aware and Privacy-preserving Trajectory Synthesis Model that Resists Social Relationship Privacy Attacks	5
Multitask Balanced and Recalibrated Network for Medical Code Prediction	5
Vector-Quantization-Based Topic Modeling	5
The Privacy Issue of Counterfactual Explanations: Explanation Linkage Attacks	5
Reinforced PU-learning with Hybrid Negative Sampling Strategies for Recommendation	5
Improving Action Recognition via Temporal and Complementary Learning	5
Saliency Attack: Towards Imperceptible Black-box Adversarial Attack	5
Federated Learning for Personalized Humor Recognition	5
COVID-GAN+: Estimating Human Mobility Responses to COVID-19 through Spatio-temporal Generative Adversarial Networks with Enhanced Features	5
CGKPN: Cross-Graph Knowledge Propagation Network with Adaptive Connection for Reasoning-Based Machine Reading Comprehension	5

Relation-aware Graph Convolutional Networks for Multi-relational Network Alignment	5
DeepRoute+: Modeling Couriers’ Spatial-temporal Behaviors and Decision Preferences for Package Pick-up Route Prediction	5
Classi-Fly: Inferring Aircraft Categories from Open Data	5
Predicting Citywide Crowd Dynamics at Big Events: A Deep Learning System	5
Data-driven Targeted Advertising Recommendation System for Outdoor Billboard	4
Labeling Chaos to Learning Harmony: Federated Learning with Noisy Labels	4
Performance Evaluation of Aggregation-based Group Recommender Systems for Ephemeral Groups	4
Self-supervised Discriminative Representation Learning by Fuzzy Autoencoder	4
Adversarial Learning for Cross Domain Recommendations	4
Hybrid Representation and Decision Fusion towards Visual-textual Sentiment	4
MaNIACS : Approximate Mining of Frequent Subgraph Patterns through Sampling	4
Credit Card Fraud Detection via Intelligent Sampling and Self-supervised Learning	4
Constraint-based Scheduling for Paint Shops in the Automotive Supply Industry	4
dhCM: Dynamic and Hierarchical Event Categorization and Discovery for Social Media Stream	4
Watermarking in Secure Federated Learning: A Verification Framework Based on Client-Side Backdooring	4
Deep Learning Embedded into Smart Traps for Fruit Insect Pests Detection	4
Analyzing Trajectory Gaps to Find Possible Rendezvous Region	4
Algorithms for Trajectory Points Clustering in Location-based Social Networks	4
Self-Adaptive Feature Transformation Networks for Object Detection in low luminance Images	4
Configure Your Federation: Hierarchical Attention-enhanced Meta-Learning Network for Personalized Federated Learning	4
POLLA: Enhancing the Local Structure Awareness in Long Sequence Spatial-temporal Modeling	4
On the Relationship between Explanation and Recommendation: Learning to Rank Explanations for Improved Performance	4
Defending against Poisoning Backdoor Attacks on Federated Meta-learning	4
Hyper-Laplacian Regularized Multi-View Clustering with Exclusive L21 Regularization and Tensor Log-Determinant Minimization Approach	4
Nova : Value-based Negotiation of Norms	4
Disentangled Item Representation for Recommender Systems	4
TAML: A Traffic-aware Multi-task Learning Model for Estimating Travel Time	4
Learning Privacy-Preserving Embeddings for Image Data to Be Published	4
STExplorer: A Hierarchical Autonomous Exploration Strategy with Spatio-temporal Awareness for Aerial Robots	4
Mining Customers’ Changeable Electricity Consumption for Effective Load Forecasting	3
Multimodal Spatio-Temporal Prediction with Stochastic Adversarial Networks	3
Causal Feature Selection in the Presence of Sample Selection Bias	3
Attentive Excitation and Aggregation for Bilingual Referring Image Segmentation	3
Generating Daily Activities with Need Dynamics	3
Fully Linear Graph Convolutional Networks for Semi-Supervised and Unsupervised Classification	3
GTAE: Graph Transformer–Based Auto-Encoders for Linguistic-Constrained Text Style Transfer	3
Deep Learning in Single-cell Analysis	3
Flatter Is Better	3
Two-Level Optimization to Reduce Waiting Time at Locks in Inland Waterway Transportation	3
TARA-Net: A Fusion Network for Detecting Takeaway Rider Accidents	3
Toward Scalable and Privacy-preserving Deep Neural Network via Algorithmic-Cryptographic Co-design	3
Modeling Complementarity in Behavior Data with Multi-Type Itemset Embedding	3
Qrowdsmith: Enhancing Paid Microtask Crowdsourcing with Gamification and Furtherance Incentives	3
Ontology-Based Driving Simulation for Traffic Lights Optimization	3
Uncovering Media Bias via Social Network Learning	3
Highly Efficient Traffic Planning for Autonomous Vehicles to Cross Intersections Without a Stop	3
GPSClean: A Framework for Cleaning and Repairing GPS Data	3
Bayesian Attribute Bagging-Based Extreme Learning Machine for High-Dimensional Classification and Regression	3
A Holistic Approach for Role Inference and Action Anticipation in Human Teams	3
Representation Learning on Variable Length and Incomplete Wearable-Sensory Time Series	3
Federated Multi-task Graph Learning	3
Mining Willing-to-Pay Behavior Patterns from Payment Datasets	3
Ensuring Fairness and Gradient Privacy in Personalized Heterogeneous Federated Learning	3
Few-shot Named Entity Recognition: Definition, Taxonomy and Research Directions	3
A Game-theoretic Framework for Privacy-preserving Federated Learning	3
KOMPOS: Connecting Causal Knots in Large Nonlinear Time Series with Non-Parametric Regression Splines	3
DNSRF: Deep Network-based Semi-NMF Representation Framework	3
DAS: Efficient Street View Image Sampling for Urban Prediction	3
Adversarial Attacks on Deep Reinforcement Learning-based Traffic Signal Control Systems with Colluding Vehicles	3
AggEnhance: Aggregation Enhancement by Class Interior Points in Federated Learning with Non-IID Data	3
Intrinsic Performance Influence-based Participant Contribution Estimation for Horizontal Federated Learning	3
Joint Latent Space and Label Inference Estimation with Adaptive Fused Data and Label Graphs	2
VSumVis: Interactive Visual Understanding and Diagnosis of Video Summarization Model	2
T-Distributed Stochastic Neighbor Embedding for Co-Representation Learning	2
Exploring Structure Incentive Domain Adversarial Learning for Generalizable Sleep Stage Classification	2
A Joint Entity and Relation Extraction Model based on Efficient Sampling and Explicit Interaction	2
Deep Reinforcement Learning for Parameter Tuning of Robot Visual Servoing	2
Causal Discovery with Confounding Cascade Nonlinear Additive Noise Models	2
Toward Balancing the Efficiency and Effectiveness in k-Facility Relocation Problem	2
GNN-based Advanced Feature Integration for ICS Anomaly Detection	2
A Spatial and Adversarial Representation Learning Approach for Land Use Classification with POIs	2
HiGRN: A Hierarchical Graph Recurrent Network for Global Sea Surface Temperature Prediction	2
Collaborative Local-Global Learning for Temporal Action Proposal	2
Describing UI Screenshots in Natural Language	2
DESIGN: Online Device Selection and Edge Association for Federated Synergy Learning-enabled AIoT	2
Local Self-attention-based Hybrid Multiple Instance Learning for Partial Spoof Speech Detection	2
Federated Momentum Contrastive Clustering	2
Asymmetrical Attention Networks Fused Autoencoder for Debiased Recommendation	2
How Members of Covert Networks Conceal the Identities of Their Leaders	2
MC 2 : Unsupervised Multiple Social Network Alignment	2
Linking Multiple User Identities of Multiple Services from Massive Mobility Traces	2
Deep Energy Factorization Model for Demographic Prediction	2
A Survey of Trustworthy Federated Learning: Issues, Solutions, and Challenges	2
Earth Imagery Segmentation on Terrain Surface with Limited Training Labels: A Semi-supervised Approach based on Physics-Guided Graph Co-Training	2
Modeling Within-Basket Auxiliary Item Recommendation with Matchability and Ubiquity	2
Traveling Transporter Problem: Arranging a New Circular Route in a Public Transportation System Based on Heterogeneous Non-Monotonic Urban Data	2
TLDS: A Transfer-Learning-Based Delivery Station Location Selection Pipeline	2
Obfuscating the Dataset: Impacts and Applications	2
Decentralized Online Learning: Take Benefits from Others’ Data without Sharing Your Own to Track Global Trend	2
Cost-sensitive Tensor-based Dual-stage Attention LSTM with Feature Selection for Data Center Server Power Forecasting	2
AMT-CDR: A Deep Adversarial Multi-Channel Transfer Network for Cross-Domain Recommendation	2
Deep Siamese Metric Learning: A Highly Scalable Approach to Searching Unordered Sets of Trajectories	2
BiNeTClus	2
Data-Aware Declarative Process Mining with SAT	2
A Scale and Rotational Invariant Key-point Detector based on Sparse Coding	2