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 2020-04-01 to 2024-04-01.)
ArticleCitations
A Survey of Unsupervised Deep Domain Adaptation396
An Attentive Survey of Attention Models265
Adversarial Attacks on Deep-learning Models in Natural Language Processing167
Federated Learning for Healthcare: Systematic Review and Architecture Proposal122
A Causal Dirichlet Mixture Model for Causal Inference from Observational Data96
Video Object Segmentation and Tracking85
A Survey on Text Classification: From Traditional to Deep Learning75
Dynamic Planning of Bicycle Stations in Dockless Public Bicycle-sharing System Using Gated Graph Neural Network63
Self-weighted Robust LDA for Multiclass Classification with Edge Classes58
Practical Privacy Preserving POI Recommendation45
Learning Generalizable and Identity-Discriminative Representations for Face Anti-Spoofing37
A Comprehensive Survey of the Key Technologies and Challenges Surrounding Vehicular Ad Hoc Networks34
Generative Adversarial Networks for Spatio-temporal Data: A Survey32
An Attention-based Rumor Detection Model with Tree-structured Recursive Neural Networks30
Predicting Attributes of Nodes Using Network Structure29
Federated Learning for Electronic Health Records28
A Novel Multi-task Tensor Correlation Neural Network for Facial Attribute Prediction28
Trustworthy AI: A Computational Perspective28
GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning27
FedBERT: When Federated Learning Meets Pre-training26
Graph Neural Networks: Taxonomy, Advances, and Trends26
A Survey of AIOps Methods for Failure Management25
Federated Social Recommendation with Graph Neural Network25
GRNN: Generative Regression Neural Network—A Data Leakage Attack for Federated Learning23
A Survey on Evaluation of Large Language Models23
StarFL: Hybrid Federated Learning Architecture for Smart Urban Computing22
Indirectly Supervised Anomaly Detection of Clinically Meaningful Health Events from Smart Home Data22
Domain-attention Conditional Wasserstein Distance for Multi-source Domain Adaptation21
Multivariate Correlation-aware Spatio-temporal Graph Convolutional Networks for Multi-scale Traffic Prediction21
TWIST-GAN: Towards Wavelet Transform and Transferred GAN for Spatio-Temporal Single Image Super Resolution21
RHUPS20
DeepKey20
MVGAN: Multi-View Graph Attention Network for Social Event Detection20
Deep Learning Thermal Image Translation for Night Vision Perception19
WiSign18
Communication-Efficient Federated Learning with Adaptive Quantization17
Route Optimization via Environment-Aware Deep Network and Reinforcement Learning17
FedCVT: Semi-supervised Vertical Federated Learning with Cross-view Training16
HERA16
FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings16
CoPhy -PGNN: Learning Physics-guided Neural Networks with Competing Loss Functions for Solving Eigenvalue Problems15
PSDF: Privacy-aware IoV Service Deployment with Federated Learning in Cloud-Edge Computing15
CNN-based Multiple Manipulation Detector Using Frequency Domain Features of Image Residuals14
End-to-End Text-to-Image Synthesis with Spatial Constrains13
Multi-Stage Fusion and Multi-Source Attention Network for Multi-Modal Remote Sensing Image Segmentation13
Active Learning for Effectively Fine-Tuning Transfer Learning to Downstream Task13
Shapelet-transformed Multi-channel EEG Channel Selection12
Conditional Text Generation for Harmonious Human-Machine Interaction12
No Free Lunch Theorem for Security and Utility in Federated Learning12
Superpixel Region Merging Based on Deep Network for Medical Image Segmentation12
Pricing-aware Real-time Charging Scheduling and Charging Station Expansion for Large-scale Electric Buses12
Bayesian Nonparametric Unsupervised Concept Drift Detection for Data Stream Mining12
Deep Reinforcement Learning-based Trajectory Pricing on Ride-hailing Platforms12
DeepApp12
Location-Centered House Price Prediction: A Multi-Task Learning Approach11
Multi-Task Learning for Entity Recommendation and Document Ranking in Web Search11
Deep Neighborhood Component Analysis for Visual Similarity Modeling11
Multiview Common Subspace Clustering via Coupled Low Rank Representation11
Intelligent System of Game-Theory-Based Decision Making in Smart Sports Industry11
Passenger Mobility Prediction via Representation Learning for Dynamic Directed and Weighted Graphs11
Privacy-Preserving Point-of-Interest Recommendation based on Simplified Graph Convolutional Network for Geological Traveling11
FedCTR: Federated Native Ad CTR Prediction with Cross-platform User Behavior Data11
Recent Few-shot Object Detection Algorithms: A Survey with Performance Comparison11
Trustworthy Recommender Systems11
Session-based Hotel Recommendations Dataset10
Federated Multi-view Learning for Private Medical Data Integration and Analysis10
Auto-weighted Robust Federated Learning with Corrupted Data Sources10
A Dynamic Convolutional Neural Network Based Shared-Bike Demand Forecasting Model10
Dancing with Trump in the Stock Market10
Semi-Synchronous Federated Learning for Energy-Efficient Training and Accelerated Convergence in Cross-Silo Settings10
Doing More with Less: Overcoming Data Scarcity for POI Recommendation via Cross-Region Transfer10
Domain Generalization for Activity Recognition via Adaptive Feature Fusion10
Copula-Based Anomaly Scoring and Localization for Large-Scale, High-Dimensional Continuous Data10
An Efficient Learning Framework for Federated XGBoost Using Secret Sharing and Distributed Optimization9
Modeling with Node Popularities for Autonomous Overlapping Community Detection9
On Representation Learning for Road Networks9
Industrial Federated Topic Modeling9
Analyzing and Detecting Collusive Users Involved in Blackmarket Retweeting Activities9
The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems9
Spatial Variability Aware Deep Neural Networks (SVANN): A General Approach9
A Comprehensive Survey of Grammatical Error Correction9
Learning Three-dimensional Skeleton Data from Sign Language Video9
Quantized Adam with Error Feedback9
Feature Grouping–based Trajectory Outlier Detection over Distributed Streams9
A Joint Neural Model for User Behavior Prediction on Social Networking Platforms9
A Survey on Graph Representation Learning Methods9
Deep Spatio-temporal Adaptive 3D Convolutional Neural Networks for Traffic Flow Prediction9
Aspect-Aware Response Generation for Multimodal Dialogue System9
Gray-Box Shilling Attack: An Adversarial Learning Approach8
Contrastive Trajectory Learning for Tour Recommendation8
MetaStore: A Task-adaptative Meta-learning Model for Optimal Store Placement with Multi-city Knowledge Transfer8
Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges8
Querying Recurrent Convoys over Trajectory Data8
Urban Traffic Dynamics Prediction—A Continuous Spatial-temporal Meta-learning Approach8
Make More Connections: Urban Traffic Flow Forecasting with Spatiotemporal Adaptive Gated Graph Convolution Network8
FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction8
Local Graph Edge Partitioning8
Causal Mechanism Transfer Network for Time Series Domain Adaptation in Mechanical Systems8
Understanding the Long-Term Evolution of Electric Taxi Networks8
Supply-Demand-aware Deep Reinforcement Learning for Dynamic Fleet Management7
STARS7
Geosocial Co-Clustering7
Contextual Anomaly Detection in Solder Paste Inspection with Multi-Task Learning7
Fast Distributed k NN Graph Construction Using Auto-tuned Locality-sensitive Hashing7
Integrating Algorithmic Sampling-Based Motion Planning with Learning in Autonomous Driving7
Weakly Supervised Video Object Segmentation via Dual-attention Cross-branch Fusion7
S3-Net: A Fast Scene Understanding Network by Single-Shot Segmentation for Autonomous Driving7
Dynamic Probabilistic Graphical Model for Progressive Fake News Detection on Social Media Platform7
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