ACM Transactions on Intelligent Systems and Technology

Papers
(The median citation count of ACM Transactions on Intelligent Systems and Technology is 3. 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 2022-05-01 to 2026-05-01.)
ArticleCitations
Introduction to the Special Issue on the Federated Learning: Algorithms, Systems, and Applications: Part 12280
Prediction for Sensor-Less Locations Using Multi-View Graph Fusion Approach with Approximation Module: A Case Study on Dengue Fever Risk Sensor493
Robust Learning under Hybrid Noise449
Modeling the Chaotic Semantic States of Generative Artificial Intelligence (AI): A Quantum Mechanics Analogy Approach447
Steering-by-example for Progressive Visual Analytics188
Evaluating Large Language Models as Virtual Annotators for Time-Series Physical Sensing Data170
Cross-Hierarchical Structure-Detail-Aware Transformer for Single Image Deblurring158
Second-order Confidence Network for Early Classification of Time Series138
Popularity Bias in Correlation Graph-based API Recommendation for Mashup Creation117
Spectraformer: A Unified Random Feature Framework for Transformer117
Deep Causal Reasoning for Recommendations108
Patch-Level Contrastive Learning for Improved Time Series Classification with Gramian Angular Field96
Improving Faithfulness and Factuality with Contrastive Learning in Explainable Recommendation79
Hierarchical Pruning of Deep Ensembles with Focal Diversity79
Towards Predicting Urban Land Use Changes: A Dynamic Graph Alignment Perspective78
Decentralized Online Learning: Take Benefits from Others’ Data without Sharing Your Own to Track Global Trend75
Graph Stochastic Neural Process for Inductive Few-shot Knowledge Graph Completion74
Counter-Samples: A Stateless Strategy to Neutralize Black-Box Adversarial Attacks73
Multimodal Dialogue Systems via Capturing Context-aware Dependencies and Ordinal Information of Semantic Elements66
3D-Guided Frontal Face Generation for Pose-Invariant Recognition60
Configure Your Federation: Hierarchical Attention-enhanced Meta-Learning Network for Personalized Federated Learning60
Discovering Causes of Traffic Congestion via Deep Transfer Clustering59
Corrigendum: An Unbiased Risk Estimator for Partial Label Learning with Augmented Classes54
Autoregressive STG-based Diffusion Model for Spatiotemporal Trajectory Generation54
Towards a Greener and Fairer Transportation System: A Survey of Route Recommendation Techniques51
Aspect-Enhanced Explainable Recommendation with Multi-modal Contrastive Learning50
Fusing Cross-Domain Knowledge from Multimodal Data to Solve Problems in the Physical World48
Cost-aware Best Arm Identification in Stochastic Bandits47
Prompt-based Masked Language Modeling for Numerical Reasoning47
Cross-User Federated Recommendation Unlearning43
PRO-MTL : Parameterized Route Optimization using Multi-Task Learning43
Introduction to the Special Issue on Transformers41
How Do Large Language Models Understand Genes and Cells40
AEKG4APT: An AI-Enhanced Knowledge Graph for Advanced Persistent Threats with Large Language Model Analysis38
Cross-Region Graph Convolutional Network with Periodicity Shift Adaptation for Wide-Area SST Prediction37
Generating Daily Activities with Need Dynamics36
VesNet: A Vessel Network for Jointly Learning Route Pattern and Future Trajectory36
What Your Next Check-in Might Look Like: Next Check-in Behavior Prediction35
Reinforcement Learning for Quantitative Trading35
Towards On-device Personalization: Cloud-device Collaborative Data Augmentation for Efficient On-device Language Model33
Ensuring Fairness and Gradient Privacy in Personalized Heterogeneous Federated Learning33
Local Edge Dynamics and Opinion Polarization33
QATCH: Automatic Evaluation of SQL-Centric Tasks on Proprietary Data33
Deep Learning Embedded into Smart Traps for Fruit Insect Pests Detection33
Adapting to My User, Engaging with My Robot: An Adaptive Affective Architecture for a Social Assistive Robot33
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
Breaking the Fog with SIGHT: Attention-Guided State Prediction for Partially Observable Reinforcement Learning29
Joint Structural-Functional Brain Graph Transformer28
Incorporation of Data-Mined Knowledge into Black-Box SVM for Interpretability28
Auto-weighted Robust Federated Learning with Corrupted Data Sources28
SiG: A Siamese-Based Graph Convolutional Network to Align Knowledge in Autonomous Transportation Systems28
SSPINNpose: A Self-Supervised PINN for Inertial Pose and Dynamics Estimation27
Physics-Based Abnormal Trajectory Gap Detection27
Relation Constrained Capsule Graph Neural Networks for Non-Rigid Shape Correspondence26
Federated Learning for Electronic Health Records26
PRiD \(\boldsymbol{\varepsilon}\) : A Contextual and Pattern-Aware Model for Digital Twins Using Genetically Optimized Differential Privacy26
The Privacy Issue of Counterfactual Explanations: Explanation Linkage Attacks25
A Novel Intelligent Video Surveillance System Using Low-Traffic Scene-Preserving Video Anonymization25
GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual Reasoning25
Modeling Within-Basket Auxiliary Item Recommendation with Matchability and Ubiquity24
Balancing Cooperation and Competition: Selfish Worker Coalition Formation in Spatial Crowdsourcing22
Hybrid Representation and Decision Fusion towards Visual-textual Sentiment22
The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems22
ROIS: Role-Based Multi-Agent Collaboration by Context-Time-Aware Information Sharing22
Self-supervised Text Style Transfer Using Cycle-Consistent Adversarial Networks21
Fighting Misinformation in Health News: DCNN-CapsNet for Cross-Domain Health Misinformation Detection21
Urban Computing in the Era of Large Language Models21
Disease Simulation in Airport Scenario Based on Individual Mobility Model20
Unsupervised Outlier Detection with Reinforced Noise Discriminator20
Shifting Capsule Networks from the Cloud to the Deep Edge20
Federated Inverse Probability Treatment Weighting for Individual Treatment Effect Estimation20
REMEND: Neural Decompilation for Reverse Engineering Math Equations from Binary Executables19
Prior Knowledge Constrained Adaptive Graph Framework for Partial Label Learning19
Developing Time Series Forecasting Models with Generative Large Language Models19
Demand-driven Urban Facility Visit Prediction19
Federated Social Recommendation with Graph Neural Network18
FEIR: Quantifying and Reducing Envy and Inferiority for Fair Recommendation of Limited Resources18
Deep Reinforcement Learning for Parameter Tuning of Robot Visual Servoing18
Multi-Metric Client Activation Method for Fast and Accurate Federated Learning17
Reconstructing Turbulent Flows Using Spatio-temporal Physical Dynamics17
DNSRF: Deep Network-based Semi-NMF Representation Framework17
Hyper-Laplacian Regularized Multi-View Clustering with Exclusive L21 Regularization and Tensor Log-Determinant Minimization Approach17
MetaDetector: Meta Event Knowledge Transfer for Fake News Detection17
Selecting and Composing Learning Rate Policies for Deep Neural Networks17
Matching Accounts on Blockchain via Pseudo Fine-tuning of Language Models16
Beyond the Singularity Myth: Artificial General Intelligence as Cumulative Infrastructural Transformation—Absorption Capacity, Epistemic Drift, and the Erosion of Human Verification Power16
Adversarial Face Database against Deep Learning-Enabled Reconstruction Attacks16
Survey of Action Recognition, Spotting, and Spatio-Temporal Localization in Soccer—Current Trends and Research Perspectives16
SAug: Structural Imbalance Aware Augmentation for Graph Neural Networks16
FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction15
Gray-Box Shilling Attack: An Adversarial Learning Approach15
Dual Graph Convolution Architecture Search for Travel Time Estimation15
A Comprehensive Survey on Multi-View Classification: Methods, Applications, and Challenges15
Internal Rehearsals for a Reconfigurable Robot to Improve Area Coverage Performance14
Crowd Flow Prediction for Irregular Regions with Semantic Graph Attention Network14
Tucker Decomposition-Enhanced Dynamic Graph Convolutional Networks for Crowd Flows Prediction14
Asymmetrical Attention Networks Fused Autoencoder for Debiased Recommendation14
Deep Learning Inferencing with High-performance Hardware Accelerators14
Neural Topic Modeling via Discrete Variational Inference14
Utility-aware and Privacy-preserving Trajectory Synthesis Model that Resists Social Relationship Privacy Attacks14
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
Query Performance Prediction Using Neural Query Space Proximity13
Talking-DiSSM: Enhancing Temporal Consistency in Talking Face Video Generation with Bidirectional SSMs13
DIRECT: Dual Interpretable Recommendation with Multi-aspect Word Attribution13
HRGNN: Learning Holistically Robust Graph Neural Networks on Noisy Graphs with Label Scarcity13
The Evaluation Framework and Benchmark for Large Language Models in the Government Affairs Domain13
A Survey on Evaluation of Large Language Models13
Ranking the Transferability of Adversarial Examples13
Cost-sensitive Tensor-based Dual-stage Attention LSTM with Feature Selection for Data Center Server Power Forecasting13
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
Fairness and Bias in Algorithmic Hiring: A Multidisciplinary Survey13
Human Pose Transfer with Augmented Disentangled Feature Consistency13
FLEE: A Hierarchical Federated Learning Framework for Distributed Deep Neural Network over Cloud, Edge, and End Device13
Cascaded Alternating Refinement Transformer for Few-shot Medical Image Segmentation12
Probing the Symbolic Logical Reasoning Ability of Large Language Models12
Empowering Predictive Modeling by GAN-based Causal Information Learning12
MHGCN+: Multiplex Heterogeneous Graph Convolutional Network12
Learning to Hash Knowledge Graph: Element-wise Rotation12
Robust Recommender Systems with Rating Flip Noise12
DeMEtRIS: Counting (near)-Cliques by Crawling11
Personalized Learning Path Recommendation with Time-Aware Attention-Based Reinforcement Learning11
Transformer Model Embedding Dual Stream for Modulation Classification of Short Signal Samples11
Dynamic Population Distribution Aware Human Trajectory Generation with Diffusion Model11
Semi-Synchronous Federated Learning for Energy-Efficient Training and Accelerated Convergence in Cross-Silo Settings11
A Comprehensive Performance Evaluation of LLMs for Data-to-Text Generation and Divergence-Weighted Training11
Recent Few-shot Object Detection Algorithms: A Survey with Performance Comparison11
Cascade Transformer for Hierarchical Semantic Reasoning in Text-Based Visual Question Answering11
MVST: A Multi-View Spatial-Temporal Model for Fine-Grained Crime Prediction11
Robust Neural Model for Searching over Incomplete Graphs11
Adaptive Intention Learning for Session-Based Recommendation11
Multi-agent Reinforcement Learning-based Adaptive Heterogeneous DAG Scheduling11
Improving Availability of Vertical Federated Learning: Relaxing Inference on Non-overlapping Data10
Quintuple-based Representation Learning for Bipartite Heterogeneous Networks10
E 2 Storyline: Visualizing the Relationship with Triplet Entities and Event Discovery10
Self-Supervised Learning for Clinical Time Series via Robust Optimization and Adaptive Data Augmentation10
Detecting Extreme Traffic Events Via a Context Augmented Graph Autoencoder10
Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation10
OptiRet-Net: An Optimized Low-Light Image Enhancement Technique for CV-Based Applications in Resource-Constrained Environments10
RenHaze: A Coarse-to-Fine Rendering Framework for Improving Robustness to Haze10
TreeSketchNet: From Sketch to 3D Tree Parameters Generation10
Atom-Motif Contrastive Transformer for Molecular Property Prediction10
Bayesian Strategy Networks Based Soft Actor-Critic Learning10
CGKPN: Cross-Graph Knowledge Propagation Network with Adaptive Connection for Reasoning-Based Machine Reading Comprehension10
A Bibliometric Review of Large Language Models Research from 2017 to 202310
Performance Evaluation of Aggregation-based Group Recommender Systems for Ephemeral Groups10
Retrieving Continuous-Time Event Sequences Using Neural Temporal Point Processes with Learnable Hashing10
Beyond Text: Multimodal Credibility Assessment Approaches for Online User-Generated Content10
Real-time Road Network Optimization with Coordinated Reinforcement Learning10
MedNER: Enhanced Named Entity Recognition in Medical Corpus via Optimized Balanced and Deep Active Learning10
A System for Automated Industrial Test Laboratory Scheduling9
Optimal Treatment Strategies for Critical Patients with Deep Reinforcement Learning9
A Unified Framework for Analyzing Textual Context and Intent in Social Media9
A Spatial and Adversarial Representation Learning Approach for Land Use Classification with POIs9
Explaining Neural News Recommendation with Attributions onto Reading Histories9
JASRNet: Learning Joint Adaptive Sampling and Reconstruction for Depth Sensing9
Efficient Federated Learning Using Dynamic Update and Adaptive Pruning with Momentum on Shared Server Data9
A Survey on Automatic Credibility Assessment Using Textual Credibility Signals in the Era of Large Language Models9
RCCNet: A Spatial-Temporal Neural Network Model for Logistics Delivery Timely Rate Prediction9
CLC: A Consensus-based Label Correction Approach in Federated Learning9
Enriching Responses with Crowd-Sourced Knowledge for Task-Oriented Conversational Agents9
DDNAS: Discretized Differentiable Neural Architecture Search for Text Classification9
Federated Learning for Healthcare: Systematic Review and Architecture Proposal9
A Survey on Graph Representation Learning Methods9
Reliable Batch-Sequential Model Editing via Enhanced Editing Anchor Compression9
A Structure-Aware Fair Recommendation Approach Based on Counterfactual Dynamic Hypergraphs9
A Holistic Approach for Role Inference and Action Anticipation in Human Teams9
Adversarial Attacks on Deep Reinforcement Learning-based Traffic Signal Control Systems with Colluding Vehicles9
Enhancing Aspect Sentiment Classification with Dual-Channel Graph Convolutional Network9
Qrowdsmith: Enhancing Paid Microtask Crowdsourcing with Gamification and Furtherance Incentives9
Survey on Knowledge Distillation for Large Language Models: Methods, Evaluation, and Application8
LLM-Enhanced User–Item Interactions: Leveraging Edge Information for Optimized Recommendations8
GPT-4V(ision) as A Social Media Analysis Engine8
Explainable Product Classification for Customs8
Evaluating GPT-4’s Semantic Understanding of Obstetric-based Healthcare Text through Nurse Ruth8
Enhancing POI Recommendation through Global Graph Disentanglement with POI Weighted Module8
Horizon Forcing: Improving the Recurrent Forecasting of Chaotic Systems8
HiGRN: A Hierarchical Graph Recurrent Network for Global Sea Surface Temperature Prediction8
Probabilistic Runtime Verification, Evaluation, and Risk Assessment of Visual Deep Learning Systems8
LLM-enhanced Multiple Instance Learning for Joint Rumor and Stance Detection with Social Context Information8
Inherent Bias in Electronic Health Records: A Scoping Review of Sources of Bias8
Evaluating LLM-based Agents for Multi-turn Conversations: A Survey8
Advances in Pre-trained Language Models for Domain-Specific Text Classification: A Systematic Review8
Question-Attentive Review-Level Explanation for Neural Rating Regression8
AMT-CDR: A Deep Adversarial Multi-Channel Transfer Network for Cross-Domain Recommendation8
Fair and Efficient Ridesharing: A Dynamic Programming-based Relocation Approach8
An Explore–Exploit Workload-Bounded Strategy for Rare Event Detection in Massive Energy Sensor Time Series8
Neuro-Symbolic Generative Adapters for Urban Foundation Models7
Meaning-Sensitive Text Data Augmentation with Intelligent Masking7
Transformer-Enhanced Adaptive Graph Convolutional Network for Traffic Flow Prediction7
Introduction to the Special Issue on Evaluations of Large Language Models: Part 17
Edge Manipulations for the Maximum Vertex-Weighted Bipartite b -matching7
No Free Lunch Theorem for Security and Utility in Federated Learning7
Break Out of a Pigeonhole: A Unified Framework for Examining Miscalibration, Bias, and Stereotype in Recommender Systems7
Highly Efficient Traffic Planning for Autonomous Vehicles to Cross Intersections Without a Stop7
Noise-aware Local Model Training Mechanism for Federated Learning7
Domain Generalization for Activity Recognition via Adaptive Feature Fusion7
From Representation to Response: Assessing the Alignment of Large Language Models with Human Judgment Patterns7
Watermarking in Secure Federated Learning: A Verification Framework Based on Client-Side Backdooring7
Robust Structure-Aware Graph-based Semi-Supervised Learning: Batch and Recursive Processing6
INN: An Interpretable Neural Network for AI Incubation in Manufacturing6
Federated Clique Percolation for Privacy-preserving Overlapping Community Detection6
MaNIACS : Approximate Mining of Frequent Subgraph Patterns through Sampling6
Predicting Next Useful Location with Context-Awareness: The State-of-the-Art6
FedPRS: A Privacy-preserving Representation Synthesis Framework for Federated Contribution Evaluation6
Learning on Missing Tabular Data: Attention with Self-Supervision, Not Imputation, is All You Need6
ONION: Online Semantic Autoencoder Hashing for Cross-Modal Retrieval6
Graph Contrastive Learning on Multi-label Classification for Recommendations6
Modeling N-ary Relational Knowledge Bases with Tensor Decomposition6
CACTUS: A Comprehensive Abstraction and Classification Tool for Uncovering Structures6
Few-shot Named Entity Recognition: Definition, Taxonomy and Research Directions6
SubgroupTE: Advancing Treatment Effect Estimation with Subgroup Identification6
FLAME: Self-Supervised Low-Resource Taxonomy Expansion Using Large Language Models6
Biomedical Information Retrieval with Positive-Unlabeled Learning and Knowledge Graphs6
A Federated Graph Neural Network with Differential Privacy for Cross-domain Recommender Systems6
A Review on Source Code Documentation6
Understanding User Preferences in Explainable Artificial Intelligence: A Mapping Function Proposal6
Special Issue on Responsible Recommender Systems Part 16
Fully Linear Graph Convolutional Networks for Semi-Supervised and Unsupervised Classification6
Efficient Federated Matrix Factorization Against Inference Attacks6
Privacy-preserving Point-of-interest Recommendation based on Simplified Graph Convolutional Network for Geological Traveling6
Semi-Supervised Crowd Counting via Swin Transformer with Adaptive Soft Threshold and Contrastive Learning6
Overcoming Diverse Undesired Effects in Recommender Systems: A Deontological Approach6
Hierarchical Reinforcement Learning for Energy-Efficient Urban Planning6
ReuseKNN: Neighborhood Reuse for Differentially Private KNN-Based Recommendations6
Unsupervised Graph Representation Learning with Cluster-aware Self-training and Refining5
Efficiency and Performance Optimization in Large Language Models through IB Fine-Tuning5
Ideology-Based LLMs for Content Moderation5
Towards Fair Graph Representation Learning by Overcoming Social Homophily5
Adaptive Target-Oriented Tracking5
Reinforcement Learning for Server-Aware Offloading in Multi-Tier Multi-Instance Computing Architecture5
Improved Image Classification using Lightweight Deep Neural Network Enhancements5
Integrated Image-Text Augmentation for Few-Shot Learning in Vision-Language Models5
Learning with Euler Collaborative Representation for Robust Pattern Analysis5
EMG-Based Automatic Gesture Recognition Using Lipschitz-Regularized Neural Networks5
Defending against Poisoning Backdoor Attacks on Federated Meta-learning5
Similarity Search with Data Missing5
GCFExplainer: Global Counterfactual Explainer for Graph Neural Networks5
Knowledge Graph Enhanced Contextualized Attention-Based Network for Responsible User-Specific Recommendation5
Can Interpretability of Deep Learning Models Detect Textual Adversarial Distribution?5
Reinforced PU-learning with Hybrid Negative Sampling Strategies for Recommendation5
Tapestry of Time and Actions: Modeling Human Activity Sequences Using Temporal Point Process Flows5
GenFighter: A Generative and Evolutive Textual Attack Removal5
Describing UI Screenshots in Natural Language5
Relation-aware Graph Convolutional Networks for Multi-relational Network Alignment5
Shades of Neutrality: Detecting Media Slant in a Political Monopoly Using Quotation Accuracy5
SGPO: Self-Generated Preference Optimization based on Self-Improver4
Ensemble Active Learning by Contextual Bandits for AI Incubation in Manufacturing4
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