ACM Transactions on Intelligent Systems and Technology

Papers
(The TQCC of ACM Transactions on Intelligent Systems and Technology is 10. 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 2022-08-01 to 2026-08-01.)
ArticleCitations
Introduction to the Special Issue on the Federated Learning: Algorithms, Systems, and Applications: Part 12638
Prediction for Sensor-Less Locations Using Multi-View Graph Fusion Approach with Approximation Module: A Case Study on Dengue Fever Risk Sensor662
Popularity Bias in Correlation Graph-based API Recommendation for Mashup Creation542
Modeling the Chaotic Semantic States of Generative Artificial Intelligence (AI): A Quantum Mechanics Analogy Approach218
Steering-by-example for Progressive Visual Analytics195
Hierarchical Pruning of Deep Ensembles with Focal Diversity172
Improving Faithfulness and Factuality with Contrastive Learning in Explainable Recommendation151
Deep Causal Reasoning for Recommendations129
Spectraformer: A Unified Random Feature Framework for Transformer124
Leveraging Large Language Models for Generating Research Topic Ontologies: A Multi-Disciplinary Study116
Evaluating Large Language Models as Virtual Annotators for Time-Series Physical Sensing Data94
Patch-Level Contrastive Learning for Improved Time Series Classification with Gramian Angular Field94
Robust Learning under Hybrid Noise92
Empowering Job Recommendation with Large Language Models: A Generative and Attentive Approach85
Second-order Confidence Network for Early Classification of Time Series83
Cross-Hierarchical Structure-Detail-Aware Transformer for Single Image Deblurring82
Towards Predicting Urban Land Use Changes: A Dynamic Graph Alignment Perspective82
Counter-Samples: A Stateless Strategy to Neutralize Black-Box Adversarial Attacks75
3D-Guided Frontal Face Generation for Pose-Invariant Recognition72
Discovering Causes of Traffic Congestion via Deep Transfer Clustering66
Decentralized Online Learning: Take Benefits from Others’ Data without Sharing Your Own to Track Global Trend64
Towards a Greener and Fairer Transportation System: A Survey of Route Recommendation Techniques56
Graph Stochastic Neural Process for Inductive Few-shot Knowledge Graph Completion49
Corrigendum: An Unbiased Risk Estimator for Partial Label Learning with Augmented Classes49
Prompt-based Masked Language Modeling for Numerical Reasoning48
Configure Your Federation: Hierarchical Attention-enhanced Meta-Learning Network for Personalized Federated Learning47
Cost-aware Best Arm Identification in Stochastic Bandits45
Aspect-Enhanced Explainable Recommendation with Multi-modal Contrastive Learning45
Autoregressive STG-based Diffusion Model for Spatiotemporal Trajectory Generation43
Multimodal Dialogue Systems via Capturing Context-aware Dependencies and Ordinal Information of Semantic Elements43
UEnhancer: Spatially Enriched Transformer with Dual-color Information for Underwater Image Enhancement41
Fusing Cross-Domain Knowledge from Multimodal Data to Solve Problems in the Physical World40
PRO-MTL : Parameterized Route Optimization using Multi-Task Learning38
How Do Large Language Models Understand Genes and Cells37
Introduction to the Special Issue on Transformers37
Treatment Effect Estimation on Networked Observational Data Using Disentangled Graph Variational Autoencoder37
VesNet: A Vessel Network for Jointly Learning Route Pattern and Future Trajectory36
AEKG4APT: An AI-Enhanced Knowledge Graph for Advanced Persistent Threats with Large Language Model Analysis35
Temporal-Weighted Transfer Network for Knowledge Graph Extrapolation35
PPFedIT : Towards Privacy-preserving Federated Instruction Tuning with Few-shot Local Examples34
Cross-User Federated Recommendation Unlearning34
Reinforcement Learning for Quantitative Trading34
What Your Next Check-in Might Look Like: Next Check-in Behavior Prediction32
Generating Daily Activities with Need Dynamics32
Local Edge Dynamics and Opinion Polarization32
Cross-Region Graph Convolutional Network with Periodicity Shift Adaptation for Wide-Area SST Prediction32
Towards On-device Personalization: Cloud-device Collaborative Data Augmentation for Efficient On-device Language Model31
QATCH: Automatic Evaluation of SQL-Centric Tasks on Proprietary Data28
A Novel Intelligent Video Surveillance System Using Low-Traffic Scene-Preserving Video Anonymization27
Breaking the Fog with SIGHT: Attention-Guided State Prediction for Partially Observable Reinforcement Learning27
WC-SBERT: Zero-Shot Topic Classification Using SBERT and Light Self-Training on Wikipedia Categories27
Incorporation of Data-Mined Knowledge into Black-Box SVM for Interpretability26
Grounding Foundation Models through Federated Transfer Learning: A General Framework26
Joint Structural-Functional Brain Graph Transformer25
Relation Constrained Capsule Graph Neural Networks for Non-Rigid Shape Correspondence24
Physics-Based Abnormal Trajectory Gap Detection23
Deep Learning Embedded into Smart Traps for Fruit Insect Pests Detection23
SSPINNpose: A Self-Supervised PINN for Inertial Pose and Dynamics Estimation23
Adapting to My User, Engaging with My Robot: An Adaptive Affective Architecture for a Social Assistive Robot23
Ensuring Fairness and Gradient Privacy in Personalized Heterogeneous Federated Learning22
GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual Reasoning22
The Privacy Issue of Counterfactual Explanations: Explanation Linkage Attacks22
SiG: A Siamese-Based Graph Convolutional Network to Align Knowledge in Autonomous Transportation Systems22
PRiD \(\boldsymbol{\varepsilon}\) : A Contextual and Pattern-Aware Model for Digital Twins Using Genetically Optimized Differential Privacy21
MU4Sum: Aspect Unlearning in LLM-based Document Summarization21
Balancing Cooperation and Competition: Selfish Worker Coalition Formation in Spatial Crowdsourcing21
Self-supervised Text Style Transfer Using Cycle-Consistent Adversarial Networks20
Hybrid Representation and Decision Fusion towards Visual-textual Sentiment20
Fighting Misinformation in Health News: DCNN-CapsNet for Cross-Domain Health Misinformation Detection20
REMEND: Neural Decompilation for Reverse Engineering Math Equations from Binary Executables18
Shifting Capsule Networks from the Cloud to the Deep Edge18
Demand-driven Urban Facility Visit Prediction18
Disease Simulation in Airport Scenario Based on Individual Mobility Model18
Unsupervised Outlier Detection with Reinforced Noise Discriminator18
Modeling Within-Basket Auxiliary Item Recommendation with Matchability and Ubiquity17
Differential Privacy in Machine Learning: A Survey from Symbolic AI to LLMs17
A Survey of Mamba17
Prior Knowledge Constrained Adaptive Graph Framework for Partial Label Learning17
Developing Time Series Forecasting Models with Generative Large Language Models17
ROIS: Role-Based Multi-Agent Collaboration by Context-Time-Aware Information Sharing17
Federated Inverse Probability Treatment Weighting for Individual Treatment Effect Estimation17
Matching Accounts on Blockchain via Pseudo Fine-tuning of Language Models16
Federated Social Recommendation with Graph Neural Network16
Beyond the Singularity Myth: Artificial General Intelligence as Cumulative Infrastructural Transformation—Absorption Capacity, Epistemic Drift, and the Erosion of Human Verification Power16
Multi-Metric Client Activation Method for Fast and Accurate Federated Learning16
Urban Computing in the Era of Large Language Models16
Adversarial Face Database against Deep Learning-Enabled Reconstruction Attacks16
FEIR: Quantifying and Reducing Envy and Inferiority for Fair Recommendation of Limited Resources16
SAug: Structural Imbalance Aware Augmentation for Graph Neural Networks16
Corrigendum: Score-based Graph Learning for Urban Flow Prediction15
SHAM-AI: A Self-Healing and Adaptive Multi-Modal Anomaly Intelligence Framework for Securing Cloud Digital Twins15
DNSRF: Deep Network-based Semi-NMF Representation Framework15
MetaDetector: Meta Event Knowledge Transfer for Fake News Detection15
Dual Graph Convolution Architecture Search for Travel Time Estimation15
FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction15
Selecting and Composing Learning Rate Policies for Deep Neural Networks15
Internal Rehearsals for a Reconfigurable Robot to Improve Area Coverage Performance14
Gray-Box Shilling Attack: An Adversarial Learning Approach14
Deep Reinforcement Learning for Parameter Tuning of Robot Visual Servoing14
The Evaluation Framework and Benchmark for Large Language Models in the Government Affairs Domain14
A Comprehensive Survey on Multi-View Classification: Methods, Applications, and Challenges14
Reconstructing Turbulent Flows Using Spatio-temporal Physical Dynamics14
Neural Topic Modeling via Discrete Variational Inference14
Hyper-Laplacian Regularized Multi-View Clustering with Exclusive L21 Regularization and Tensor Log-Determinant Minimization Approach14
Survey of Action Recognition, Spotting, and Spatio-Temporal Localization in Soccer—Current Trends and Research Perspectives14
Asymmetrical Attention Networks Fused Autoencoder for Debiased Recommendation14
Corrigendum: DESIGN: Online Device Selection and Edge Association for Federated Synergy Learning-enabled AIoT13
Recommender System-Induced Eating Disorder Relapse: Harmful Content and the Challenges of Responsible Recommendation13
A Technical Survey of Reinforcement Learning Techniques for Large Language Models13
On Developing Explainable AI Evaluation Metrics for Image Classification Using Borda Count and Multiple Correlation Techniques13
Nationwide Air Pollution Forecasting with Heterogeneous Graph Neural Networks13
Query Performance Prediction Using Neural Query Space Proximity13
HRGNN: Learning Holistically Robust Graph Neural Networks on Noisy Graphs with Label Scarcity13
Cost-sensitive Tensor-based Dual-stage Attention LSTM with Feature Selection for Data Center Server Power Forecasting13
Embryo Prediction Network: Determining Embryo Transfer Strategies with Time-Lapse Imaging for In-Vitro Fertilization Treatment13
Fairness and Bias in Algorithmic Hiring: A Multidisciplinary Survey12
Empowering Predictive Modeling by GAN-based Causal Information Learning12
Talking-DiSSM: Enhancing Temporal Consistency in Talking Face Video Generation with Bidirectional SSMs12
Deep Learning Inferencing with High-performance Hardware Accelerators12
A Survey on Evaluation of Large Language Models12
DIRECT: Dual Interpretable Recommendation with Multi-aspect Word Attribution12
Probing the Symbolic Logical Reasoning Ability of Large Language Models12
Tucker Decomposition-Enhanced Dynamic Graph Convolutional Networks for Crowd Flows Prediction12
Human Pose Transfer with Augmented Disentangled Feature Consistency12
MHGCN+: Multiplex Heterogeneous Graph Convolutional Network12
Multi-agent Reinforcement Learning-based Adaptive Heterogeneous DAG Scheduling11
Cascade Transformer for Hierarchical Semantic Reasoning in Text-Based Visual Question Answering11
Robust Recommender Systems with Rating Flip Noise11
Ranking the Transferability of Adversarial Examples11
Dynamic Population Distribution Aware Human Trajectory Generation with Diffusion Model11
A Comprehensive Performance Evaluation of LLMs for Data-to-Text Generation and Divergence-Weighted Training11
MVST: A Multi-View Spatial-Temporal Model for Fine-Grained Crime Prediction11
A Bibliometric Review of Large Language Models Research from 2017 to 202311
Cascaded Alternating Refinement Transformer for Few-shot Medical Image Segmentation11
DeMEtRIS: Counting (near)-Cliques by Crawling11
Robust Neural Model for Searching over Incomplete Graphs11
Transformer Model Embedding Dual Stream for Modulation Classification of Short Signal Samples11
Recent Few-shot Object Detection Algorithms: A Survey with Performance Comparison11
Detecting In-Person Conversations in Noisy Real-World Environments with Smartwatch Audio and Motion Sensing11
Learning to Hash Knowledge Graph: Element-wise Rotation11
Large Language Models in Database Management System Optimization: A Survey11
Personalized Learning Path Recommendation with Time-Aware Attention-Based Reinforcement Learning11
FLEE: A Hierarchical Federated Learning Framework for Distributed Deep Neural Network over Cloud, Edge, and End Device11
TreeSketchNet: From Sketch to 3D Tree Parameters Generation11
Detecting Extreme Traffic Events Via a Context Augmented Graph Autoencoder10
Adaptive Intention Learning for Session-Based Recommendation10
Self-Supervised Learning for Clinical Time Series via Robust Optimization and Adaptive Data Augmentation10
A System for Automated Industrial Test Laboratory Scheduling10
Performance Evaluation of Aggregation-based Group Recommender Systems for Ephemeral Groups10
RenHaze: A Coarse-to-Fine Rendering Framework for Improving Robustness to Haze10
Quintuple-based Representation Learning for Bipartite Heterogeneous Networks10
Atom-Motif Contrastive Transformer for Molecular Property Prediction10
E 2 Storyline: Visualizing the Relationship with Triplet Entities and Event Discovery10
Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation10
Uncertainty-Guided Adaptive Knowledge Distillation for Lightweight Cross-Domain Object Detection10
Local Causal Structure Learning with Efficient Parents Discovery10
Retrieving Continuous-Time Event Sequences Using Neural Temporal Point Processes with Learnable Hashing10
Real-time Road Network Optimization with Coordinated Reinforcement Learning10
Qrowdsmith: Enhancing Paid Microtask Crowdsourcing with Gamification and Furtherance Incentives10
MedNER: Enhanced Named Entity Recognition in Medical Corpus via Optimized Balanced and Deep Active Learning10
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