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 2022-01-01 to 2026-01-01.)
ArticleCitations
Hierarchical Pruning of Deep Ensembles with Focal Diversity1777
Introduction to the Special Issue on the Federated Learning: Algorithms, Systems, and Applications: Part 1428
Popularity Bias in Correlation Graph-based API Recommendation for Mashup Creation347
Prediction for Sensor-Less Locations Using Multi-View Graph Fusion Approach with Approximation Module: A Case Study on Dengue Fever Risk Sensor272
Robust Learning under Hybrid Noise198
Improving Faithfulness and Factuality with Contrastive Learning in Explainable Recommendation142
Modeling the Chaotic Semantic States of Generative Artificial Intelligence (AI): A Quantum Mechanics Analogy Approach140
Steering-by-example for Progressive Visual Analytics138
Spectraformer: A Unified Random Feature Framework for Transformer115
Second-order Confidence Network for Early Classification of Time Series104
Evaluating Large Language Models as Virtual Annotators for Time-Series Physical Sensing Data99
Cross-Hierarchical Structure-Detail-Aware Transformer for Single Image Deblurring98
Deep Causal Reasoning for Recommendations91
Patch-Level Contrastive Learning for Improved Time Series Classification with Gramian Angular Field87
Privacy Preservation for Trajectory Publication Based on Differential Privacy74
Towards Predicting Urban Land Use Changes: A Dynamic Graph Alignment Perspective73
Cost-aware Best Arm Identification in Stochastic Bandits72
Decentralized Online Learning: Take Benefits from Others’ Data without Sharing Your Own to Track Global Trend69
Multimodal Dialogue Systems via Capturing Context-aware Dependencies and Ordinal Information of Semantic Elements60
Counter-Samples: A Stateless Strategy to Neutralize Black-Box Adversarial Attacks57
Prompt-based Masked Language Modeling for Numerical Reasoning51
3D-Guided Frontal Face Generation for Pose-Invariant Recognition50
Discovering Causes of Traffic Congestion via Deep Transfer Clustering49
Fusing Cross-Domain Knowledge from Multimodal Data to Solve Problems in the Physical World48
Towards a Greener and Fairer Transportation System: A Survey of Route Recommendation Techniques46
Corrigendum: An Unbiased Risk Estimator for Partial Label Learning with Augmented Classes45
Aspect-Enhanced Explainable Recommendation with Multi-modal Contrastive Learning42
Configure Your Federation: Hierarchical Attention-enhanced Meta-Learning Network for Personalized Federated Learning40
Graph Stochastic Neural Process for Inductive Few-shot Knowledge Graph Completion40
PRO-MTL : Parameterized Route Optimization using Multi-Task Learning39
Cross-User Federated Recommendation Unlearning38
Cross-Region Graph Convolutional Network with Periodicity Shift Adaptation for Wide-Area SST Prediction38
Generating Daily Activities with Need Dynamics37
How Do Large Language Models Understand Genes and Cells37
Reinforcement Learning for Quantitative Trading36
AEKG4APT: An AI-Enhanced Knowledge Graph for Advanced Persistent Threats with Large Language Model Analysis36
VesNet: A Vessel Network for Jointly Learning Route Pattern and Future Trajectory36
Relation Constrained Capsule Graph Neural Networks for Non-Rigid Shape Correspondence34
QATCH: Automatic Evaluation of SQL-Centric Tasks on Proprietary Data33
A Novel Intelligent Video Surveillance System Using Low-Traffic Scene-Preserving Video Anonymization33
WC-SBERT: Zero-Shot Topic Classification Using SBERT and Light Self-Training on Wikipedia Categories32
Grounding Foundation Models through Federated Transfer Learning: A General Framework30
Local Edge Dynamics and Opinion Polarization30
Ensuring Fairness and Gradient Privacy in Personalized Heterogeneous Federated Learning28
Deep Learning Embedded into Smart Traps for Fruit Insect Pests Detection27
Physics-Based Abnormal Trajectory Gap Detection27
GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual Reasoning27
Joint Structural-Functional Brain Graph Transformer27
Deep Reinforcement Learning-based Trajectory Pricing on Ride-hailing Platforms27
Incorporation of Data-Mined Knowledge into Black-Box SVM for Interpretability25
Auto-weighted Robust Federated Learning with Corrupted Data Sources25
Adapting to My User, Engaging with My Robot: An Adaptive Affective Architecture for a Social Assistive Robot24
What Your Next Check-in Might Look Like: Next Check-in Behavior Prediction24
Towards On-Device Personalization: Cloud-device Collaborative Data Augmentation for Efficient On-device Language Model24
Demand-driven Urban Facility Visit Prediction23
The Privacy Issue of Counterfactual Explanations: Explanation Linkage Attacks23
The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems23
SiG: A Siamese-Based Graph Convolutional Network to Align Knowledge in Autonomous Transportation Systems23
Federated Learning for Electronic Health Records23
Developing Time Series Forecasting Models with Generative Large Language Models22
Unsupervised Outlier Detection with Reinforced Noise Discriminator22
Balancing Cooperation and Competition: Selfish Worker Coalition Formation in Spatial Crowdsourcing21
Data-driven Targeted Advertising Recommendation System for Outdoor Billboard21
Disease Simulation in Airport Scenario Based on Individual Mobility Model21
REMEND: Neural Decompilation for Reverse Engineering Math Equations from Binary Executables21
Fighting Misinformation in Health News: DCNN-CapsNet for Cross-Domain Health Misinformation Detection21
ROIS: Role-Based Multi-Agent Collaboration by Context-Time-Aware Information Sharing21
Self-supervised Text Style Transfer Using Cycle-Consistent Adversarial Networks20
Shifting Capsule Networks from the Cloud to the Deep Edge20
Prior Knowledge Constrained Adaptive Graph Framework for Partial Label Learning20
Hybrid Representation and Decision Fusion towards Visual-textual Sentiment19
Modeling Within-Basket Auxiliary Item Recommendation with Matchability and Ubiquity19
MetaDetector: Meta Event Knowledge Transfer for Fake News Detection18
Federated Social Recommendation with Graph Neural Network18
FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction18
Urban Computing in the Era of Large Language Models18
DNSRF: Deep Network-based Semi-NMF Representation Framework17
Reconstructing Turbulent Flows Using Spatio-temporal Physical Dynamics17
Beyond the Singularity Myth: Artificial General Intelligence as Cumulative Infrastructural Transformation17
Matching Accounts on Blockchain via Pseudo Fine-tuning of Language Models17
FEIR: Quantifying and Reducing Envy and Inferiority for Fair Recommendation of Limited Resources17
Survey of Action Recognition, Spotting and Spatio-Temporal Localization in Soccer - Current Trends and Research Perspectives17
Deep Reinforcement Learning for Parameter Tuning of Robot Visual Servoing17
SAug: Structural Imbalance Aware Augmentation for Graph Neural Networks17
COVID-GAN+: Estimating Human Mobility Responses to COVID-19 through Spatio-temporal Generative Adversarial Networks with Enhanced Features16
Hyper-Laplacian Regularized Multi-View Clustering with Exclusive L21 Regularization and Tensor Log-Determinant Minimization Approach16
Adversarial Face Database against Deep Learning-Enabled Reconstruction Attacks16
Gray-Box Shilling Attack: An Adversarial Learning Approach16
A Comprehensive Survey on Multi-View Classification: Methods, Applications, and Challenges16
On Developing Explainable AI Evaluation Metrics for Image Classification using Borda Count and Multiple Correlation Techniques15
Internal Rehearsals for a Reconfigurable Robot to Improve Area Coverage Performance15
Selecting and Composing Learning Rate Policies for Deep Neural Networks15
Asymmetrical Attention Networks Fused Autoencoder for Debiased Recommendation15
Graph Sequence Neural Network with an Attention Mechanism for Traffic Speed Prediction15
Neural Topic Modeling via Discrete Variational Inference15
Tucker Decomposition-Enhanced Dynamic Graph Convolutional Networks for Crowd Flows Prediction15
Dual Graph Convolution Architecture Search for Travel Time Estimation15
The Evaluation Framework and Benchmark for Large Language Models in the Government Affairs Domain14
Predicting Future Locations with Semantic Trajectories14
Query Performance Prediction Using Neural Query Space Proximity14
Recommender System-Induced Eating Disorder Relapse: Harmful Content and the Challenges of Responsible Recommendation14
Utility-aware and Privacy-preserving Trajectory Synthesis Model that Resists Social Relationship Privacy Attacks14
Fairness and Bias in Algorithmic Hiring: A Multidisciplinary Survey13
Deep Learning Inferencing with High-performance Hardware Accelerators13
Talking-DiSSM: Enhancing Temporal Consistency in Talking Face Video Generation with Bidirectional SSMs13
Probing the Symbolic Logical Reasoning Ability of Large Language Models13
Cost-sensitive Tensor-based Dual-stage Attention LSTM with Feature Selection for Data Center Server Power Forecasting13
A Survey on Evaluation of Large Language Models13
Ranking the Transferability of Adversarial Examples13
Human Pose Transfer with Augmented Disentangled Feature Consistency13
Crowd Flow Prediction for Irregular Regions with Semantic Graph Attention Network13
HRGNN: Learning Holistically Robust Graph Neural Networks on Noisy Graphs with Label Scarcity13
Nationwide Air Pollution Forecasting with Heterogeneous Graph Neural Networks13
Introduction to the Special Issue on Deep Learning for Spatio-Temporal Data: Part 213
Learning to Hash Knowledge Graph: Element-wise Rotation12
DIRECT: Dual Interpretable Recommendation with Multi-aspect Word Attribution12
FLEE: A Hierarchical Federated Learning Framework for Distributed Deep Neural Network over Cloud, Edge, and End Device12
Cascaded Alternating Refinement Transformer for Few-shot Medical Image Segmentation12
MHGCN+: Multiplex Heterogeneous Graph Convolutional Network12
Empowering Predictive Modeling by GAN-based Causal Information Learning12
Robust Recommender Systems with Rating Flip Noise12
MVST: A Multi-View Spatial-Temporal Model for Fine-Grained Crime Prediction11
Personalized Learning Path Recommendation with Time-Aware Attention-Based Reinforcement Learning11
A Bibliometric Review of Large Language Models Research from 2017 to 202311
Multi-agent Reinforcement Learning-based Adaptive Heterogeneous DAG Scheduling11
DeMEtRIS: Counting (near)-Cliques by Crawling11
Adaptive Intention Learning for Session-Based Recommendation11
TreeSketchNet: From Sketch to 3D Tree Parameters Generation11
Recent Few-shot Object Detection Algorithms: A Survey with Performance Comparison11
A System for Automated Industrial Test Laboratory Scheduling10
Cascade Transformer for Hierarchical Semantic Reasoning in Text-Based Visual Question Answering10
Real-time Road Network Optimization with Coordinated Reinforcement Learning10
Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation10
Quintuple-based Representation Learning for Bipartite Heterogeneous Networks10
Transformer Model Embedding Dual Stream for Modulation Classification of Short Signal Samples10
Robust Neural Model for Searching over Incomplete Graphs10
Detecting Extreme Traffic Events Via a Context Augmented Graph Autoencoder10
RenHaze: A Coarse-to-Fine Rendering Framework for Improving Robustness to Haze10
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
MedNER: Enhanced Named Entity Recognition in Medical Corpus via Optimized Balanced and Deep Active Learning10
E 2 Storyline: Visualizing the Relationship with Triplet Entities and Event Discovery10
Qrowdsmith: Enhancing Paid Microtask Crowdsourcing with Gamification and Furtherance Incentives10
Improving Availability of Vertical Federated Learning: Relaxing Inference on Non-overlapping Data9
Self-Supervised Learning for Clinical Time Series via Robust Optimization and Adaptive Data Augmentation9
Beyond Text: Multimodal Credibility Assessment Approaches for Online User-Generated Content9
A Survey on Graph Representation Learning Methods9
Bayesian Strategy Networks Based Soft Actor-Critic Learning9
Multimodal Spatio-Temporal Prediction with Stochastic Adversarial Networks9
A Survey on Automatic Credibility Assessment Using Textual Credibility Signals in the Era of Large Language Models9
CGKPN: Cross-Graph Knowledge Propagation Network with Adaptive Connection for Reasoning-Based Machine Reading Comprehension9
Federated Learning for Healthcare: Systematic Review and Architecture Proposal9
Efficient Federated Learning Using Dynamic Update and Adaptive Pruning with Momentum on Shared Server Data9
OptiRet-Net: An Optimized Low-Light Image Enhancement Technique for CV-Based Applications in Resource-Constrained Environments9
Performance Evaluation of Aggregation-based Group Recommender Systems for Ephemeral Groups9
Multivariate Correlation-aware Spatio-temporal Graph Convolutional Networks for Multi-scale Traffic Prediction9
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