ACM Transactions on Intelligent Systems and Technology

Papers
(The TQCC of ACM Transactions on Intelligent Systems and Technology is 9. 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 2021-09-01 to 2025-09-01.)
ArticleCitations
Introduction to the Special Issue on the Federated Learning: Algorithms, Systems, and Applications: Part 11233
Hierarchical Pruning of Deep Ensembles with Focal Diversity440
Robust Learning under Hybrid Noise355
Second-order Confidence Network for Early Classification of Time Series234
Popularity Bias in Correlation Graph-based API Recommendation for Mashup Creation224
Prediction for Sensor-Less Locations Using Multi-View Graph Fusion Approach with Approximation Module: A Case Study on Dengue Fever Risk Sensor117
Improving Faithfulness and Factuality with Contrastive Learning in Explainable Recommendation100
Steering-by-example for Progressive Visual Analytics96
Cross-Hierarchical Structure-Detail-Aware Transformer for Single Image Deblurring95
Modeling the Chaotic Semantic States of Generative Artificial Intelligence (AI): A Quantum Mechanics Analogy Approach85
Evaluating Large Language Models as Virtual Annotators for Time-series Physical Sensing Data82
Privacy Preservation for Trajectory Publication Based on Differential Privacy79
Deep Causal Reasoning for Recommendations78
Aspect-Enhanced Explainable Recommendation with Multi-modal Contrastive Learning76
Towards a Greener and Fairer Transportation System: A Survey of Route Recommendation Techniques64
Counter-Samples: A Stateless Strategy to Neutralize Black-Box Adversarial Attacks63
3D-Guided Frontal Face Generation for Pose-Invariant Recognition62
Configure Your Federation: Hierarchical Attention-enhanced Meta-Learning Network for Personalized Federated Learning61
Discovering Causes of Traffic Congestion via Deep Transfer Clustering59
Route Optimization via Environment-Aware Deep Network and Reinforcement Learning56
Prompt-based Masked Language Modeling for Numerical Reasoning50
Multimodal Dialogue Systems via Capturing Context-aware Dependencies and Ordinal Information of Semantic Elements46
Cost-aware Best Arm Identification in Stochastic Bandits43
Decentralized Online Learning: Take Benefits from Others’ Data without Sharing Your Own to Track Global Trend40
Towards Predicting Urban Land Use Changes: A Dynamic Graph Alignment Perspective40
VesNet: A Vessel Network for Jointly Learning Route Pattern and Future Trajectory36
Generating Daily Activities with Need Dynamics35
AEKG4APT: An AI-Enhanced Knowledge Graph for Advanced Persistent Threats with Large Language Model Analysis34
Cross-Region Graph Convolutional Network with Periodicity Shift Adaptation for Wide-Area SST Prediction33
Cross-User Federated Recommendation Unlearning33
PRO-MTL : Parameterized Route Optimization using Multi-Task Learning33
Reinforcement Learning for Quantitative Trading32
How do Large Language Models understand Genes and Cells32
Ensuring Fairness and Gradient Privacy in Personalized Heterogeneous Federated Learning30
The Privacy Issue of Counterfactual Explanations: Explanation Linkage Attacks30
Detecting and Analyzing Collusive Entities on YouTube30
Relation Constrained Capsule Graph Neural Networks for Non-Rigid Shape Correspondence30
SiG: A Siamese-Based Graph Convolutional Network to Align Knowledge in Autonomous Transportation Systems30
WC-SBERT: Zero-Shot Topic Classification Using SBERT and Light Self-Training on Wikipedia Categories30
Introduction to the Special Issue on Intelligent Trajectory Analytics: Part I29
Adapting to My User, Engaging with My Robot: An Adaptive Affective Architecture for a Social Assistive Robot28
GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual Reasoning28
QATCH: Automatic Evaluation of SQL-Centric Tasks on Proprietary Data27
A Novel Intelligent Video Surveillance System Using Low-Traffic Scene-Preserving Video Anonymization26
Joint Structural-Functional Brain Graph Transformer25
What Your Next Check-in Might Look Like: Next Check-in Behavior Prediction23
Incorporation of Data-Mined Knowledge into Black-Box SVM for Interpretability23
Physics-Based Abnormal Trajectory Gap Detection23
Local Edge Dynamics and Opinion Polarization21
Deep Reinforcement Learning-based Trajectory Pricing on Ride-hailing Platforms21
Auto-weighted Robust Federated Learning with Corrupted Data Sources21
Federated Learning for Electronic Health Records21
Grounding Foundation Models through Federated Transfer Learning: A General Framework21
Deep Learning Embedded into Smart Traps for Fruit Insect Pests Detection21
Disease Simulation in Airport Scenario Based on Individual Mobility Model19
Federated Social Recommendation with Graph Neural Network19
Unsupervised Outlier Detection with Reinforced Noise Discriminator19
Hybrid Representation and Decision Fusion towards Visual-textual Sentiment19
Prior Knowledge Constrained Adaptive Graph Framework for Partial Label Learning19
Data-driven Targeted Advertising Recommendation System for Outdoor Billboard19
Collaborative Local-Global Learning for Temporal Action Proposal18
Balancing Cooperation and Competition: Selfish Worker Coalition Formation in Spatial Crowdsourcing18
Modeling Within-Basket Auxiliary Item Recommendation with Matchability and Ubiquity18
Developing Time Series Forecasting Models with Generative Large Language Models18
Self-supervised Text Style Transfer Using Cycle-Consistent Adversarial Networks18
Demand-driven Urban Facility Visit Prediction18
REMEND: Neural Decompilation for Reverse Engineering Math Equations from Binary Executables17
FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction17
Graph Sequence Neural Network with an Attention Mechanism for Traffic Speed Prediction17
The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems17
Selecting and Composing Learning Rate Policies for Deep Neural Networks17
MetaDetector: Meta Event Knowledge Transfer for Fake News Detection17
Shifting Capsule Networks from the Cloud to the Deep Edge17
Dual Graph Convolution Architecture Search for Travel Time Estimation17
Hyper-Laplacian Regularized Multi-View Clustering with Exclusive L21 Regularization and Tensor Log-Determinant Minimization Approach16
SAug: Structural Imbalance Aware Augmentation for Graph Neural Networks16
COVID-GAN+: Estimating Human Mobility Responses to COVID-19 through Spatio-temporal Generative Adversarial Networks with Enhanced Features16
Reconstructing Turbulent Flows Using Spatio-temporal Physical Dynamics16
Deep Reinforcement Learning for Parameter Tuning of Robot Visual Servoing16
FEIR: Quantifying and Reducing Envy and Inferiority for Fair Recommendation of Limited Resources16
Crowd Flow Prediction for Irregular Regions with Semantic Graph Attention Network15
Tucker Decomposition-Enhanced Dynamic Graph Convolutional Networks for Crowd Flows Prediction15
Gray-Box Shilling Attack: An Adversarial Learning Approach15
Nationwide Air Pollution Forecasting with Heterogeneous Graph Neural Networks15
Utility-aware and Privacy-preserving Trajectory Synthesis Model that Resists Social Relationship Privacy Attacks15
DNSRF: Deep Network-based Semi-NMF Representation Framework15
Internal Rehearsals for a Reconfigurable Robot to Improve Area Coverage Performance15
Deep Learning Inferencing with High-performance Hardware Accelerators15
Recommender System-Induced Eating Disorder Relapse: Harmful Content and the Challenges of Responsible Recommendation15
BATS: A Spectral Biclustering Approach to Single Document Topic Modeling and Segmentation14
Cost-sensitive Tensor-based Dual-stage Attention LSTM with Feature Selection for Data Center Server Power Forecasting14
Neural Topic Modeling via Discrete Variational Inference14
Asymmetrical Attention Networks Fused Autoencoder for Debiased Recommendation14
The Evaluation Framework and Benchmark for Large Language Models in the Government Affairs Domain13
Predicting Future Locations with Semantic Trajectories13
Fairness and Bias in Algorithmic Hiring: A Multidisciplinary Survey13
POLLA: Enhancing the Local Structure Awareness in Long Sequence Spatial-temporal Modeling13
Exploring the Risky Travel Area and Behavior of Car-hailing Service13
A Survey on Evaluation of Large Language Models13
Introduction to the Special Issue on Deep Learning for Spatio-Temporal Data: Part 212
DIRECT: Dual Interpretable Recommendation with Multi-aspect Word Attribution12
Robust Recommender Systems with Rating Flip Noise12
Empowering Predictive Modeling by GAN-based Causal Information Learning12
Significant DBSCAN+: Statistically Robust Density-based Clustering12
Probing the Symbolic Logical Reasoning Ability of Large Language Models12
Talking-DiSSM: Enhancing Temporal Consistency in Talking Face Video Generation with Bidirectional SSMs12
MHGCN+: Multiplex Heterogeneous Graph Convolutional Network12
Ranking the Transferability of Adversarial Examples12
Cascaded Alternating Refinement Transformer for Few-shot Medical Image Segmentation12
Human Pose Transfer with Augmented Disentangled Feature Consistency12
MVST: A Multi-View Spatial-Temporal Model for Fine-Grained Crime Prediction11
Multi-agent Reinforcement Learning-based Adaptive Heterogeneous DAG Scheduling11
Personalized Learning Path Recommendation with Time-Aware Attention Based Reinforcement Learning11
A Bibliometric Review of Large Language Models Research from 2017 to 202311
TreeSketchNet: From Sketch to 3D Tree Parameters Generation11
FLEE: A Hierarchical Federated Learning Framework for Distributed Deep Neural Network over Cloud, Edge, and End Device11
Recent Few-shot Object Detection Algorithms: A Survey with Performance Comparison11
DeMEtRIS: Counting (near)-Cliques by Crawling11
Learning to Hash Knowledge Graph: Element-wise Rotation11
Adaptive Intention Learning for Session-Based Recommendation11
Robust Neural Model for Searching over Incomplete Graphs11
Cascade Transformer for Hierarchical Semantic Reasoning in Text-Based Visual Question Answering11
Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation10
TAML: A Traffic-aware Multi-task Learning Model for Estimating Travel Time10
MedNER: Enhanced Named Entity Recognition in Medical Corpus via Optimized Balanced and Deep Active Learning10
Quintuple-based Representation Learning for Bipartite Heterogeneous Networks10
Performance Evaluation of Aggregation-based Group Recommender Systems for Ephemeral Groups10
Multimodal Spatio-Temporal Prediction with Stochastic Adversarial Networks10
E 2 Storyline: Visualizing the Relationship with Triplet Entities and Event Discovery10
Semi-Synchronous Federated Learning for Energy-Efficient Training and Accelerated Convergence in Cross-Silo Settings10
Retrieving Continuous-Time Event Sequences Using Neural Temporal Point Processes with Learnable Hashing10
OptiRet-Net: An Optimized Low-Light Image Enhancement Technique for CV-Based Applications in Resource-Constrained Environments10
Real-time Road Network Optimization with Coordinated Reinforcement Learning9
Detecting Extreme Traffic Events Via a Context Augmented Graph Autoencoder9
JASRNet: Learning Joint Adaptive Sampling and Reconstruction for Depth Sensing9
Multivariate Correlation-aware Spatio-temporal Graph Convolutional Networks for Multi-scale Traffic Prediction9
A System for Automated Industrial Test Laboratory Scheduling9
Efficient Federated Learning Using Dynamic Update and Adaptive Pruning with Momentum on Shared Server Data9
Beyond Text: Multimodal Credibility Assessment Approaches for Online User-Generated Content9
Federated Learning for Healthcare: Systematic Review and Architecture Proposal9
A Survey on Graph Representation Learning Methods9
Improving Availability of Vertical Federated Learning: Relaxing Inference on Non-overlapping Data9
Qrowdsmith: Enhancing Paid Microtask Crowdsourcing with Gamification and Furtherance Incentives9
Bayesian Strategy Networks Based Soft Actor-Critic Learning9
CGKPN: Cross-Graph Knowledge Propagation Network with Adaptive Connection for Reasoning-Based Machine Reading Comprehension9
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