ACM Transactions on Intelligent Systems and Technology

Papers
(The TQCC of ACM Transactions on Intelligent Systems and Technology is 7. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
An Attentive Survey of Attention Models321
Federated Learning for Healthcare: Systematic Review and Architecture Proposal198
A Survey on Evaluation of Large Language Models197
A Survey on Text Classification: From Traditional to Deep Learning121
Self-weighted Robust LDA for Multiclass Classification with Edge Classes73
Dynamic Planning of Bicycle Stations in Dockless Public Bicycle-sharing System Using Gated Graph Neural Network72
Trustworthy AI: A Computational Perspective56
Explainability for Large Language Models: A Survey50
GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning49
Federated Social Recommendation with Graph Neural Network48
FedBERT: When Federated Learning Meets Pre-training45
Generative Adversarial Networks for Spatio-temporal Data: A Survey43
Graph Neural Networks: Taxonomy, Advances, and Trends42
Federated Learning for Electronic Health Records40
A Comprehensive Survey of the Key Technologies and Challenges Surrounding Vehicular Ad Hoc Networks40
GRNN: Generative Regression Neural Network—A Data Leakage Attack for Federated Learning35
Multivariate Correlation-aware Spatio-temporal Graph Convolutional Networks for Multi-scale Traffic Prediction33
Communication-Efficient Federated Learning with Adaptive Quantization33
Predicting Attributes of Nodes Using Network Structure33
A Survey of AIOps Methods for Failure Management31
A Novel Multi-task Tensor Correlation Neural Network for Facial Attribute Prediction30
PSDF: Privacy-aware IoV Service Deployment with Federated Learning in Cloud-Edge Computing27
Indirectly Supervised Anomaly Detection of Clinically Meaningful Health Events from Smart Home Data26
TWIST-GAN: Towards Wavelet Transform and Transferred GAN for Spatio-Temporal Single Image Super Resolution26
FedCVT: Semi-supervised Vertical Federated Learning with Cross-view Training25
RHUPS25
A Comprehensive Survey on Model Quantization for Deep Neural Networks in Image Classification24
FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings24
StarFL: Hybrid Federated Learning Architecture for Smart Urban Computing22
A Survey on Graph Representation Learning Methods21
MVGAN: Multi-View Graph Attention Network for Social Event Detection21
Multi-Stage Fusion and Multi-Source Attention Network for Multi-Modal Remote Sensing Image Segmentation21
Deep Learning Thermal Image Translation for Night Vision Perception20
An Efficient Learning Framework for Federated XGBoost Using Secret Sharing and Distributed Optimization20
FedCTR: Federated Native Ad CTR Prediction with Cross-platform User Behavior Data20
CoPhy -PGNN: Learning Physics-guided Neural Networks with Competing Loss Functions for Solving Eigenvalue Problems19
Deep Reinforcement Learning-based Trajectory Pricing on Ride-hailing Platforms18
No Free Lunch Theorem for Security and Utility in Federated Learning18
Semi-Synchronous Federated Learning for Energy-Efficient Training and Accelerated Convergence in Cross-Silo Settings18
Federated Multi-view Learning for Private Medical Data Integration and Analysis18
Route Optimization via Environment-Aware Deep Network and Reinforcement Learning18
Trustworthy Recommender Systems17
Domain Generalization for Activity Recognition via Adaptive Feature Fusion17
Conditional Text Generation for Harmonious Human-Machine Interaction17
Active Learning for Effectively Fine-Tuning Transfer Learning to Downstream Task16
Location-Centered House Price Prediction: A Multi-Task Learning Approach16
UrbanKG: An Urban Knowledge Graph System16
Contrastive Trajectory Learning for Tour Recommendation15
Bayesian Nonparametric Unsupervised Concept Drift Detection for Data Stream Mining15
Passenger Mobility Prediction via Representation Learning for Dynamic Directed and Weighted Graphs15
Trading Off Privacy, Utility, and Efficiency in Federated Learning14
Recent Few-shot Object Detection Algorithms: A Survey with Performance Comparison14
Privacy-preserving Point-of-interest Recommendation based on Simplified Graph Convolutional Network for Geological Traveling14
Intelligent System of Game-Theory-Based Decision Making in Smart Sports Industry13
A Comprehensive Survey of Grammatical Error Correction13
Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges13
Federated Dynamic Graph Neural Networks with Secure Aggregation for Video-based Distributed Surveillance12
A Dynamic Convolutional Neural Network Based Shared-Bike Demand Forecasting Model12
Deep Spatio-temporal Adaptive 3D Convolutional Neural Networks for Traffic Flow Prediction12
Reinforced Explainable Knowledge Concept Recommendation in MOOCs12
The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems12
Reinforcement Learning for Quantitative Trading12
Multiview Common Subspace Clustering via Coupled Low Rank Representation12
Boosting Healthiness Exposure in Category-Constrained Meal Recommendation Using Nutritional Standards11
Make More Connections: Urban Traffic Flow Forecasting with Spatiotemporal Adaptive Gated Graph Convolution Network11
Spatio-temporal Graph Learning for Epidemic Prediction11
Supply-Demand-aware Deep Reinforcement Learning for Dynamic Fleet Management11
Session-based Hotel Recommendations Dataset11
Quantized Adam with Error Feedback11
Auto-weighted Robust Federated Learning with Corrupted Data Sources11
Aspect-Aware Response Generation for Multimodal Dialogue System11
A Bibliometric Review of Large Language Models Research from 2017 to 202310
Industrial Federated Topic Modeling10
A Computational Framework for Modeling Biobehavioral Rhythms from Mobile and Wearable Data Streams10
TreeSketchNet: From Sketch to 3D Tree Parameters Generation10
Pricing-aware Real-time Charging Scheduling and Charging Station Expansion for Large-scale Electric Buses10
FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction10
Spatial Variability Aware Deep Neural Networks (SVANN): A General Approach10
Efficient Federated Matrix Factorization Against Inference Attacks10
Fairness in Recommendation: Foundations, Methods, and Applications10
Gray-Box Shilling Attack: An Adversarial Learning Approach10
Dual Graph Convolution Architecture Search for Travel Time Estimation9
Selecting and Composing Learning Rate Policies for Deep Neural Networks9
S3-Net: A Fast Scene Understanding Network by Single-Shot Segmentation for Autonomous Driving9
On Representation Learning for Road Networks9
Deep Learning Inferencing with High-performance Hardware Accelerators9
Privacy Preservation for Trajectory Publication Based on Differential Privacy9
Local Graph Edge Partitioning9
What Can Knowledge Bring to Machine Learning?—A Survey of Low-shot Learning for Structured Data9
Causal Mechanism Transfer Network for Time Series Domain Adaptation in Mechanical Systems9
Crowd Flow Prediction for Irregular Regions with Semantic Graph Attention Network9
Feature Grouping–based Trajectory Outlier Detection over Distributed Streams9
CLC: A Consensus-based Label Correction Approach in Federated Learning9
MetaStore: A Task-adaptative Meta-learning Model for Optimal Store Placement with Multi-city Knowledge Transfer9
Doing More with Less: Overcoming Data Scarcity for POI Recommendation via Cross-Region Transfer9
SignDS-FL: Local Differentially Private Federated Learning with Sign-based Dimension Selection8
Improving Availability of Vertical Federated Learning: Relaxing Inference on Non-overlapping Data8
FLEE: A Hierarchical Federated Learning Framework for Distributed Deep Neural Network over Cloud, Edge, and End Device8
MetaDetector: Meta Event Knowledge Transfer for Fake News Detection8
A GDPR-compliant Ecosystem for Speech Recognition with Transfer, Federated, and Evolutionary Learning8
CrimeTensor : Fine-Scale Crime Prediction via Tensor Learning with Spatiotemporal Consistency8
Dynamic Probabilistic Graphical Model for Progressive Fake News Detection on Social Media Platform8
Dynamic-Aware Federated Learning for Face Forgery Video Detection8
Detecting Extreme Traffic Events Via a Context Augmented Graph Autoencoder8
Detecting and Analyzing Collusive Entities on YouTube8
ReuseKNN: Neighborhood Reuse for Differentially Private KNN-Based Recommendations8
Improved Fake Reviews Detection Model Based on Vertical Ensemble Tri-Training and Active Learning7
Simultaneous Past and Current Social Interaction-aware Trajectory Prediction for Multiple Intelligent Agents in Dynamic Scenes7
Urban Traffic Dynamics Prediction—A Continuous Spatial-temporal Meta-learning Approach7
Contrastive Learning Models for Sentence Representations7
Predicting Future Locations with Semantic Trajectories7
Similar Trajectory Search with Spatio-Temporal Deep Representation Learning7
Incorporation of Data-Mined Knowledge into Black-Box SVM for Interpretability7
Significant DBSCAN+: Statistically Robust Density-based Clustering7
Integrating Algorithmic Sampling-Based Motion Planning with Learning in Autonomous Driving7
Predicting Human Mobility with Reinforcement-Learning-Based Long-Term Periodicity Modeling7
Weakly Supervised Video Object Segmentation via Dual-attention Cross-branch Fusion7
“In-Network Ensemble”: Deep Ensemble Learning with Diversified Knowledge Distillation7
A Review on Source Code Documentation7
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