ACM Transactions on Intelligent Systems and Technology

Papers
(The median citation count of ACM Transactions on Intelligent Systems and Technology is 2. 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 2021-05-01 to 2025-05-01.)
ArticleCitations
Introduction to the Special Issue on the Federated Learning: Algorithms, Systems, and Applications: Part 1761
Popularity Bias in Correlation Graph-based API Recommendation for Mashup Creation394
Steering-by-example for Progressive Visual Analytics299
Second-order Confidence Network for Early Classification of Time Series186
Improving Faithfulness and Factuality with Contrastive Learning in Explainable Recommendation135
Deep Causal Reasoning for Recommendations91
Privacy Preservation for Trajectory Publication Based on Differential Privacy79
Robust Learning under Hybrid Noise68
Evaluating Large Language Models as Virtual Annotators for Time-series Physical Sensing Data68
Hierarchical Pruning of Deep Ensembles with Focal Diversity65
Prediction for Sensor-Less Locations Using Multi-View Graph Fusion Approach with Approximation Module: A Case Study on Dengue Fever Risk Sensor65
Route Optimization via Environment-Aware Deep Network and Reinforcement Learning63
Aspect-Enhanced Explainable Recommendation with Multi-modal Contrastive Learning62
Cost-aware Best Arm Identification in Stochastic Bandits56
Towards Predicting Urban Land Use Changes: A Dynamic Graph Alignment Perspective53
Multimodal Dialogue Systems via Capturing Context-aware Dependencies and Ordinal Information of Semantic Elements53
3D-Guided Frontal Face Generation for Pose-Invariant Recognition53
Configure Your Federation: Hierarchical Attention-enhanced Meta-Learning Network for Personalized Federated Learning50
Discovering Causes of Traffic Congestion via Deep Transfer Clustering47
Towards a Greener and Fairer Transportation System: A Survey of Route Recommendation Techniques42
Decentralized Online Learning: Take Benefits from Others’ Data without Sharing Your Own to Track Global Trend39
Generating Daily Activities with Need Dynamics35
PRO-MTL : Parameterized Route Optimization using Multi-Task Learning32
How do Large Language Models understand Genes and Cells31
Incorporation of Data-Mined Knowledge into Black-Box SVM for Interpretability30
VesNet: A Vessel Network for Jointly Learning Route Pattern and Future Trajectory30
Auto-weighted Robust Federated Learning with Corrupted Data Sources30
Reinforcement Learning for Quantitative Trading30
What Your Next Check-in Might Look Like: Next Check-in Behavior Prediction29
VSumVis: Interactive Visual Understanding and Diagnosis of Video Summarization Model28
Detecting and Analyzing Collusive Entities on YouTube28
WC-SBERT: Zero-Shot Topic Classification Using SBERT and Light Self-Training on Wikipedia Categories27
Relation Constrained Capsule Graph Neural Networks for Non-Rigid Shape Correspondence26
Adapting to My User, Engaging with My Robot: An Adaptive Affective Architecture for a Social Assistive Robot26
Physics-Based Abnormal Trajectory Gap Detection25
Introduction to the Special Issue on Intelligent Trajectory Analytics: Part I24
Local Edge Dynamics and Opinion Polarization24
Deep Reinforcement Learning-based Trajectory Pricing on Ride-hailing Platforms24
SiG: A Siamese-Based Graph Convolutional Network to Align Knowledge in Autonomous Transportation Systems23
A Novel Intelligent Video Surveillance System Using Low-Traffic Scene-Preserving Video Anonymization23
Ensuring Fairness and Gradient Privacy in Personalized Heterogeneous Federated Learning23
QATCH: Automatic Evaluation of SQL-Centric Tasks on Proprietary Data23
Joint Structural-Functional Brain Graph Transformer21
GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual Reasoning21
Deep Learning Embedded into Smart Traps for Fruit Insect Pests Detection20
Federated Learning for Electronic Health Records19
The Privacy Issue of Counterfactual Explanations: Explanation Linkage Attacks19
Prior Knowledge Constrained Adaptive Graph Framework for Partial Label Learning18
Hybrid Representation and Decision Fusion towards Visual-textual Sentiment18
Collaborative Local-Global Learning for Temporal Action Proposal18
Developing Time Series Forecasting Models with Generative Large Language Models18
Shifting Capsule Networks from the Cloud to the Deep Edge18
A Camera Identity-guided Distribution Consistency Method for Unsupervised Multi-target Domain Person Re-identification18
Demand-driven Urban Facility Visit Prediction18
Modeling Within-Basket Auxiliary Item Recommendation with Matchability and Ubiquity17
A GDPR-compliant Ecosystem for Speech Recognition with Transfer, Federated, and Evolutionary Learning17
Disease Simulation in Airport Scenario Based on Individual Mobility Model17
Federated Social Recommendation with Graph Neural Network16
Unsupervised Outlier Detection with Reinforced Noise Discriminator16
The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems16
Self-supervised Text Style Transfer Using Cycle-Consistent Adversarial Networks15
Data-driven Targeted Advertising Recommendation System for Outdoor Billboard15
Selecting and Composing Learning Rate Policies for Deep Neural Networks14
DNSRF: Deep Network-based Semi-NMF Representation Framework14
Reconstructing Turbulent Flows Using Spatio-temporal Physical Dynamics14
COVID-GAN+: Estimating Human Mobility Responses to COVID-19 through Spatio-temporal Generative Adversarial Networks with Enhanced Features14
Deep Reinforcement Learning for Parameter Tuning of Robot Visual Servoing14
MetaDetector: Meta Event Knowledge Transfer for Fake News Detection14
Dual Graph Convolution Architecture Search for Travel Time Estimation14
FEIR: Quantifying and Reducing Envy and Inferiority for Fair Recommendation of Limited Resources14
Graph Sequence Neural Network with an Attention Mechanism for Traffic Speed Prediction14
Hyper-Laplacian Regularized Multi-View Clustering with Exclusive L21 Regularization and Tensor Log-Determinant Minimization Approach14
SAug: Structural Imbalance Aware Augmentation for Graph Neural Networks14
Exploring the Risky Travel Area and Behavior of Car-hailing Service13
Gray-Box Shilling Attack: An Adversarial Learning Approach13
Recommender System-Induced Eating Disorder Relapse: Harmful Content and the Challenges of Responsible Recommendation13
FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction13
Tucker Decomposition-Enhanced Dynamic Graph Convolutional Networks for Crowd Flows Prediction13
Asymmetrical Attention Networks Fused Autoencoder for Debiased Recommendation13
Predicting Future Locations with Semantic Trajectories12
The Evaluation Framework and Benchmark for Large Language Models in the Government Affairs Domain12
POLLA: Enhancing the Local Structure Awareness in Long Sequence Spatial-temporal Modeling12
Deep Learning Inferencing with High-performance Hardware Accelerators11
Utility-aware and Privacy-preserving Trajectory Synthesis Model that Resists Social Relationship Privacy Attacks11
BATS: A Spectral Biclustering Approach to Single Document Topic Modeling and Segmentation11
Fairness and Bias in Algorithmic Hiring: A Multidisciplinary Survey11
Neural Topic Modeling via Discrete Variational Inference11
Internal Rehearsals for a Reconfigurable Robot to Improve Area Coverage Performance11
Cost-sensitive Tensor-based Dual-stage Attention LSTM with Feature Selection for Data Center Server Power Forecasting11
Nationwide Air Pollution Forecasting with Heterogeneous Graph Neural Networks10
FLEE: A Hierarchical Federated Learning Framework for Distributed Deep Neural Network over Cloud, Edge, and End Device10
Ranking the Transferability of Adversarial Examples10
Robust Recommender Systems with Rating Flip Noise10
A Survey on Evaluation of Large Language Models10
DIRECT: Dual Interpretable Recommendation with Multi-aspect Word Attribution10
Human Pose Transfer with Augmented Disentangled Feature Consistency10
Empowering Predictive Modeling by GAN-based Causal Information Learning10
Crowd Flow Prediction for Irregular Regions with Semantic Graph Attention Network10
Introduction to the Special Issue on Deep Learning for Spatio-Temporal Data: Part 210
Cascaded Alternating Refinement Transformer for Few-shot Medical Image Segmentation10
MHGCN+: Multiplex Heterogeneous Graph Convolutional Network10
A Comprehensive Approach to On-board Autonomy Verification and Validation9
Probing the Symbolic Logical Reasoning Ability of Large Language Models9
Cascade Transformer for Hierarchical Semantic Reasoning in Text-Based Visual Question Answering9
TreeSketchNet: From Sketch to 3D Tree Parameters Generation9
D e ME t RIS: Counting (near)-Cliques by Crawling9
Adaptive Intention Learning for Session-Based Recommendation9
MVST: A Multi-View Spatial-Temporal Model for Fine-Grained Crime Prediction9
Significant DBSCAN+: Statistically Robust Density-based Clustering9
Multi-agent Reinforcement Learning-based Adaptive Heterogeneous DAG Scheduling9
StarFL: Hybrid Federated Learning Architecture for Smart Urban Computing9
Semi-Synchronous Federated Learning for Energy-Efficient Training and Accelerated Convergence in Cross-Silo Settings8
Modeling Complementarity in Behavior Data with Multi-Type Itemset Embedding8
MedNER: Enhanced Named Entity Recognition in Medical Corpus via Optimized Balanced and Deep Active Learning8
A System for Automated Industrial Test Laboratory Scheduling8
Multimodal Spatio-Temporal Prediction with Stochastic Adversarial Networks8
Recent Few-shot Object Detection Algorithms: A Survey with Performance Comparison8
Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation8
OptiRet-Net: An Optimized Low-Light Image Enhancement Technique for CV-Based Applications in Resource-Constrained Environments8
Real-time Road Network Optimization with Coordinated Reinforcement Learning8
Retrieving Continuous-Time Event Sequences Using Neural Temporal Point Processes with Learnable Hashing8
A Bibliometric Review of Large Language Models Research from 2017 to 20238
Detecting Extreme Traffic Events Via a Context Augmented Graph Autoencoder8
Bayesian Strategy Networks Based Soft Actor-Critic Learning8
Quintuple-based Representation Learning for Bipartite Heterogeneous Networks8
E 2 Storyline: Visualizing the Relationship with Triplet Entities and Event Discovery8
TAML: A Traffic-aware Multi-task Learning Model for Estimating Travel Time7
Qrowdsmith: Enhancing Paid Microtask Crowdsourcing with Gamification and Furtherance Incentives7
Weakly Supervised Video Object Segmentation via Dual-attention Cross-branch Fusion7
A Holistic Approach for Role Inference and Action Anticipation in Human Teams7
Explaining Neural News Recommendation with Attributions onto Reading Histories7
A Survey on Graph Representation Learning Methods7
Efficient Federated Learning Using Dynamic Update and Adaptive Pruning with Momentum on Shared Server Data7
Improving Availability of Vertical Federated Learning: Relaxing Inference on Non-overlapping Data7
Optimal Treatment Strategies for Critical Patients with Deep Reinforcement Learning7
RCCNet: A Spatial-Temporal Neural Network Model for Logistics Delivery Timely Rate Prediction7
DDNAS: Discretized Differentiable Neural Architecture Search for Text Classification7
Performance Evaluation of Aggregation-based Group Recommender Systems for Ephemeral Groups7
Beyond Text: Multimodal Credibility Assessment Approaches for Online User-Generated Content7
CGKPN: Cross-Graph Knowledge Propagation Network with Adaptive Connection for Reasoning-Based Machine Reading Comprehension7
Federated Learning for Healthcare: Systematic Review and Architecture Proposal7
JASRNet: Learning Joint Adaptive Sampling and Reconstruction for Depth Sensing7
Question-Attentive Review-Level Explanation for Neural Rating Regression7
A Unified Framework for Analyzing Textual Context and Intent in Social Media7
Multivariate Correlation-aware Spatio-temporal Graph Convolutional Networks for Multi-scale Traffic Prediction7
CLC: A Consensus-based Label Correction Approach in Federated Learning6
Supply-Demand-aware Deep Reinforcement Learning for Dynamic Fleet Management6
LLM-enhanced Multiple Instance Learning for Joint Rumor and Stance Detection with Social Context Information6
GTAE: Graph Transformer–Based Auto-Encoders for Linguistic-Constrained Text Style Transfer6
Break Out of a Pigeonhole: A Unified Framework for Examining Miscalibration, Bias, and Stereotype in Recommender Systems6
Transformer-Enhanced Adaptive Graph Convolutional Network for Traffic Flow Prediction6
Edge Manipulations for the Maximum Vertex-Weighted Bipartite b -matching6
Adversarial Attacks on Deep Reinforcement Learning-based Traffic Signal Control Systems with Colluding Vehicles6
Enriching Responses with Crowd-Sourced Knowledge for Task-Oriented Conversational Agents6
HiGRN: A Hierarchical Graph Recurrent Network for Global Sea Surface Temperature Prediction6
GPT-4V(ision) as A Social Media Analysis Engine6
Meaning-Sensitive Text Data Augmentation with Intelligent Masking6
Watermarking in Secure Federated Learning: A Verification Framework Based on Client-Side Backdooring6
Domain Generalization for Activity Recognition via Adaptive Feature Fusion6
Survey on Knowledge Distillation for Large Language Models: Methods, Evaluation, and Application6
Enhancing Aspect Sentiment Classification with Dual-Channel Graph Convolutional Network6
A Spatial and Adversarial Representation Learning Approach for Land Use Classification with POIs6
Fair and Efficient Ridesharing: A Dynamic Programming-based Relocation Approach6
An Explore–Exploit Workload-Bounded Strategy for Rare Event Detection in Massive Energy Sensor Time Series6
No Free Lunch Theorem for Security and Utility in Federated Learning6
Bayesian Attribute Bagging-Based Extreme Learning Machine for High-Dimensional Classification and Regression6
Tapestry of Time and Actions: Modeling Human Activity Sequences Using Temporal Point Process Flows5
EMG-Based Automatic Gesture Recognition Using Lipschitz-Regularized Neural Networks5
Biomedical Information Retrieval with Positive-Unlabeled Learning and Knowledge Graphs5
Privacy-preserving Point-of-interest Recommendation based on Simplified Graph Convolutional Network for Geological Traveling5
A Review on Source Code Documentation5
Highly Efficient Traffic Planning for Autonomous Vehicles to Cross Intersections Without a Stop5
Improved Fake Reviews Detection Model Based on Vertical Ensemble Tri-Training and Active Learning5
CACTUS: A Comprehensive Abstraction and Classification Tool for Uncovering Structures5
Overcoming Diverse Undesired Effects in Recommender Systems: A Deontological Approach5
Self-Adaptive Feature Transformation Networks for Object Detection in low luminance Images5
Identifying Illicit Drug Dealers on Instagram with Large-scale Multimodal Data Fusion5
Fully Linear Graph Convolutional Networks for Semi-Supervised and Unsupervised Classification5
Special Issue on Responsible Recommender Systems Part 15
ONION: Online Semantic Autoencoder Hashing for Cross-Modal Retrieval5
Robust Structure-Aware Graph-based Semi-Supervised Learning: Batch and Recursive Processing5
Modeling N-ary Relational Knowledge Bases with Tensor Decomposition5
Graph Contrastive Learning on Multi-label Classification for Recommendations5
Explainable Product Classification for Customs5
From Representation to Response: Assessing the Alignment of Large Language Models with Human Judgment Patterns5
Deep Spatio-temporal Adaptive 3D Convolutional Neural Networks for Traffic Flow Prediction5
Learning with Euler Collaborative Representation for Robust Pattern Analysis5
Learning on Missing Tabular Data: Attention with Self-Supervision, Not Imputation, is All You Need5
FLAME: Self-Supervised Low-Resource Taxonomy Expansion Using Large Language Models5
ReuseKNN: Neighborhood Reuse for Differentially Private KNN-Based Recommendations5
INN: An Interpretable Neural Network for AI Incubation in Manufacturing5
AMT-CDR: A Deep Adversarial Multi-Channel Transfer Network for Cross-Domain Recommendation5
Noise-aware Local Model Training Mechanism for Federated Learning5
Instant Basketball Defensive Trajectory Generation5
SubgroupTE: Advancing Treatment Effect Estimation with Subgroup Identification5
Federated Clique Percolation for Privacy-preserving Overlapping Community Detection5
S3-Net: A Fast Scene Understanding Network by Single-Shot Segmentation for Autonomous Driving4
Performing Cancer Diagnosis via an Isoform Expression Ranking-based LSTM Model4
Two-Level Optimization to Reduce Waiting Time at Locks in Inland Waterway Transportation4
Nova : Value-based Negotiation of Norms4
Adversarial Learning for Cross Domain Recommendations4
GCFExplainer: Global Counterfactual Explainer for Graph Neural Networks4
Efficiency and Performance Optimization in Large Language Models through IB Fine-Tuning4
Integrated Image-Text Augmentation for Few-Shot Learning in Vision-Language Models4
Reinforced PU-learning with Hybrid Negative Sampling Strategies for Recommendation4
Federated Learning Survey: A Multi-Level Taxonomy of Aggregation Techniques, Experimental Insights, and Future Frontiers4
Fast Real-Time Video Object Segmentation with a Tangled Memory Network4
DESIGN: Online Device Selection and Edge Association for Federated Synergy Learning-enabled AIoT4
Ensemble Active Learning by Contextual Bandits for AI Incubation in Manufacturing4
Describing UI Screenshots in Natural Language4
Mining Customers’ Changeable Electricity Consumption for Effective Load Forecasting4
Can Interpretability of Deep Learning Models Detect Textual Adversarial Distribution?4
Efficient Federated Matrix Factorization Against Inference Attacks4
Empirical and Experimental Insights into Data Mining Techniques for Crime Prediction: A Comprehensive Survey4
Defending against Poisoning Backdoor Attacks on Federated Meta-learning4
Learning Cross-modality Interaction for Robust Depth Perception of Autonomous Driving4
A Scale and Rotational Invariant Key-point Detector based on Sparse Coding4
Adaptive Target Oriented Tracking4
Knowledge Graph Enhanced Contextualized Attention-Based Network for Responsible User-Specific Recommendation4
GenFighter: A Generative and Evolutive Textual Attack Removal4
Relation-aware Graph Convolutional Networks for Multi-relational Network Alignment4
MaNIACS : Approximate Mining of Frequent Subgraph Patterns through Sampling4
Unsupervised Graph Representation Learning with Cluster-aware Self-training and Refining4
Few-shot Named Entity Recognition: Definition, Taxonomy and Research Directions4
MKEL: Multiple Kernel Ensemble Learning via Unified Ensemble Loss for Image Classification3
Score-based Graph Learning for Urban Flow Prediction3
Personalized Fashion Recommendations for Diverse Body Shapes with Contrastive Multimodal Cross-Attention Network3
Neuro-Symbolic Embedding for Short and Effective Feature Selection via Autoregressive Generation3
SignDS-FL: Local Differentially Private Federated Learning with Sign-based Dimension Selection3
Intermediary-Generated Bridge Network for RGB-D Cross-Modal Re-Identification3
Graph Neural Networks: Taxonomy, Advances, and Trends3
Similar Trajectory Search with Spatio-Temporal Deep Representation Learning3
Local Graph Edge Partitioning3
Guidelines for the Regularization of Gammas in Batch Normalization for Deep Residual Networks3
Inferring Real Mobility in Presence of Fake Check-ins Data3
Deep Learning in Single-cell Analysis3
Saliency Attack: Towards Imperceptible Black-box Adversarial Attack3
Jointly Optimizing Expressional and Residual Models for 3D Facial Expression Removal3
DeepExpress: Heterogeneous and Coupled Sequence Modeling for Express Delivery Prediction3
Towards AI-Assisted Inclusive Language Writing in Italian Formal Communications3
A Discriminant Information Theoretic Learning Framework for Multi-modal Feature Representation3
HydraGAN: A Cooperative Agent Model for Multi-Objective Data Generation3
Toward Ubiquitous Interaction-Attentive and Extreme-Aware Crowd Activity Level Prediction3
Introduction to the Special Issue on Intelligent Trajectory Analytics: Part II3
Hybrid Prompt Learning for Generating Justifications of Security Risks in Automation Rules3
CAFE and SOUP: Toward Adaptive VDI Workload Prediction3
Interpretable Imitation Learning with Symbolic Rewards3
An Efficient Learning Framework for Federated XGBoost Using Secret Sharing and Distributed Optimization3
Intrinsic Performance Influence-based Participant Contribution Estimation for Horizontal Federated Learning3
AggEnhance: Aggregation Enhancement by Class Interior Points in Federated Learning with Non-IID Data3
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