OOIR: Observatory of International Research

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 2021-08-01 to 2025-08-01.)

Article	Citations
Improving Faithfulness and Factuality with Contrastive Learning in Explainable Recommendation	1119
Robust Learning under Hybrid Noise	434
Introduction to the Special Issue on the Federated Learning: Algorithms, Systems, and Applications: Part 1	340
Hierarchical Pruning of Deep Ensembles with Focal Diversity	225
Popularity Bias in Correlation Graph-based API Recommendation for Mashup Creation	193
Deep Causal Reasoning for Recommendations	110
Second-order Confidence Network for Early Classification of Time Series	96
Prediction for Sensor-Less Locations Using Multi-View Graph Fusion Approach with Approximation Module: A Case Study on Dengue Fever Risk Sensor	92
Privacy Preservation for Trajectory Publication Based on Differential Privacy	90
Steering-by-example for Progressive Visual Analytics	81
Cross-Hierarchical Structure-Detail-Aware Transformer for Single Image Deblurring	79
Modeling the Chaotic Semantic States of Generative Artificial Intelligence (AI): A Quantum Mechanics Analogy Approach	74
Evaluating Large Language Models as Virtual Annotators for Time-series Physical Sensing Data	74
Aspect-Enhanced Explainable Recommendation with Multi-modal Contrastive Learning	70
Discovering Causes of Traffic Congestion via Deep Transfer Clustering	60
Towards a Greener and Fairer Transportation System: A Survey of Route Recommendation Techniques	60
3D-Guided Frontal Face Generation for Pose-Invariant Recognition	56
Configure Your Federation: Hierarchical Attention-enhanced Meta-Learning Network for Personalized Federated Learning	56
Multimodal Dialogue Systems via Capturing Context-aware Dependencies and Ordinal Information of Semantic Elements	53
Towards Predicting Urban Land Use Changes: A Dynamic Graph Alignment Perspective	49
Cost-aware Best Arm Identification in Stochastic Bandits	44
Decentralized Online Learning: Take Benefits from Others’ Data without Sharing Your Own to Track Global Trend	42
Route Optimization via Environment-Aware Deep Network and Reinforcement Learning	38
Counter-Samples: A Stateless Strategy to Neutralize Black Box Adversarial Attacks	36
Prompt-based Masked Language Modeling for Numerical Reasoning	36

VesNet: A Vessel Network for Jointly Learning Route Pattern and Future Trajectory	35
Generating Daily Activities with Need Dynamics	34
Cross-User Federated Recommendation Unlearning	33
AEKG4APT: An AI-Enhanced Knowledge Graph for Advanced Persistent Threats with Large Language Model Analysis	33
How do Large Language Models understand Genes and Cells	32
PRO-MTL : Parameterized Route Optimization using Multi-Task Learning	32
Cross-Region Graph Convolutional Network with Periodicity Shift Adaptation for Wide-Area SST Prediction	31
The Privacy Issue of Counterfactual Explanations: Explanation Linkage Attacks	30
Detecting and Analyzing Collusive Entities on YouTube	30
Reinforcement Learning for Quantitative Trading	30
Introduction to the Special Issue on Intelligent Trajectory Analytics: Part I	29
Auto-weighted Robust Federated Learning with Corrupted Data Sources	29
GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual Reasoning	29
Joint Structural-Functional Brain Graph Transformer	28
SiG: A Siamese-Based Graph Convolutional Network to Align Knowledge in Autonomous Transportation Systems	28
Physics-Based Abnormal Trajectory Gap Detection	28
Relation Constrained Capsule Graph Neural Networks for Non-Rigid Shape Correspondence	27
WC-SBERT: Zero-Shot Topic Classification Using SBERT and Light Self-Training on Wikipedia Categories	27
Deep Learning Embedded into Smart Traps for Fruit Insect Pests Detection	23
Adapting to My User, Engaging with My Robot: An Adaptive Affective Architecture for a Social Assistive Robot	23
QATCH: Automatic Evaluation of SQL-Centric Tasks on Proprietary Data	23
What Your Next Check-in Might Look Like: Next Check-in Behavior Prediction	23
A Novel Intelligent Video Surveillance System Using Low-Traffic Scene-Preserving Video Anonymization	23
Grounding Foundation Models through Federated Transfer Learning: A General Framework	22
Deep Reinforcement Learning-based Trajectory Pricing on Ride-hailing Platforms	21
Incorporation of Data-Mined Knowledge into Black-Box SVM for Interpretability	21
Ensuring Fairness and Gradient Privacy in Personalized Heterogeneous Federated Learning	21
Local Edge Dynamics and Opinion Polarization	21
Federated Learning for Electronic Health Records	20
Prior Knowledge Constrained Adaptive Graph Framework for Partial Label Learning	19
Hybrid Representation and Decision Fusion towards Visual-textual Sentiment	19
Unsupervised Outlier Detection with Reinforced Noise Discriminator	19
REMEND: Neural Decompilation for Reverse Engineering Math Equations from Binary Executables	19
Balancing Cooperation and Competition: Selfish Worker Coalition Formation in Spatial Crowdsourcing	18
Disease Simulation in Airport Scenario Based on Individual Mobility Model	18
Modeling Within-Basket Auxiliary Item Recommendation with Matchability and Ubiquity	17
Demand-driven Urban Facility Visit Prediction	17
Collaborative Local-Global Learning for Temporal Action Proposal	17
Data-driven Targeted Advertising Recommendation System for Outdoor Billboard	17
Shifting Capsule Networks from the Cloud to the Deep Edge	17
Self-supervised Text Style Transfer Using Cycle-Consistent Adversarial Networks	17
The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems	17
FEIR: Quantifying and Reducing Envy and Inferiority for Fair Recommendation of Limited Resources	16
Federated Social Recommendation with Graph Neural Network	16
MetaDetector: Meta Event Knowledge Transfer for Fake News Detection	16
Developing Time Series Forecasting Models with Generative Large Language Models	16
Selecting and Composing Learning Rate Policies for Deep Neural Networks	16
Hyper-Laplacian Regularized Multi-View Clustering with Exclusive L21 Regularization and Tensor Log-Determinant Minimization Approach	15
COVID-GAN+: Estimating Human Mobility Responses to COVID-19 through Spatio-temporal Generative Adversarial Networks with Enhanced Features	15
SAug: Structural Imbalance Aware Augmentation for Graph Neural Networks	15

FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction	15
Dual Graph Convolution Architecture Search for Travel Time Estimation	15
Deep Reinforcement Learning for Parameter Tuning of Robot Visual Servoing	15
Reconstructing Turbulent Flows Using Spatio-temporal Physical Dynamics	15
Graph Sequence Neural Network with an Attention Mechanism for Traffic Speed Prediction	15
Gray-Box Shilling Attack: An Adversarial Learning Approach	15
DNSRF: Deep Network-based Semi-NMF Representation Framework	15
Crowd Flow Prediction for Irregular Regions with Semantic Graph Attention Network	14
POLLA: Enhancing the Local Structure Awareness in Long Sequence Spatial-temporal Modeling	14
Nationwide Air Pollution Forecasting with Heterogeneous Graph Neural Networks	14
BATS: A Spectral Biclustering Approach to Single Document Topic Modeling and Segmentation	14
Internal Rehearsals for a Reconfigurable Robot to Improve Area Coverage Performance	14
Utility-aware and Privacy-preserving Trajectory Synthesis Model that Resists Social Relationship Privacy Attacks	14
Tucker Decomposition-Enhanced Dynamic Graph Convolutional Networks for Crowd Flows Prediction	14
Recommender System-Induced Eating Disorder Relapse: Harmful Content and the Challenges of Responsible Recommendation	14
Deep Learning Inferencing with High-performance Hardware Accelerators	14
Asymmetrical Attention Networks Fused Autoencoder for Debiased Recommendation	14
Exploring the Risky Travel Area and Behavior of Car-hailing Service	13
Neural Topic Modeling via Discrete Variational Inference	13
Predicting Future Locations with Semantic Trajectories	12
Robust Recommender Systems with Rating Flip Noise	12
Probing the Symbolic Logical Reasoning Ability of Large Language Models	12
Fairness and Bias in Algorithmic Hiring: A Multidisciplinary Survey	12
The Evaluation Framework and Benchmark for Large Language Models in the Government Affairs Domain	12
Cascaded Alternating Refinement Transformer for Few-shot Medical Image Segmentation	12
Cost-sensitive Tensor-based Dual-stage Attention LSTM with Feature Selection for Data Center Server Power Forecasting	12
A Survey on Evaluation of Large Language Models	12
Talking-DiSSM: Enhancing Temporal Consistency in Talking Face Video Generation with Bidirectional SSMs	12
A Comprehensive Approach to On-board Autonomy Verification and Validation	11
Human Pose Transfer with Augmented Disentangled Feature Consistency	11
MHGCN+: Multiplex Heterogeneous Graph Convolutional Network	11
DIRECT: Dual Interpretable Recommendation with Multi-aspect Word Attribution	11
FLEE: A Hierarchical Federated Learning Framework for Distributed Deep Neural Network over Cloud, Edge, and End Device	11
StarFL: Hybrid Federated Learning Architecture for Smart Urban Computing	11
Ranking the Transferability of Adversarial Examples	11
Introduction to the Special Issue on Deep Learning for Spatio-Temporal Data: Part 2	11
MVST: A Multi-View Spatial-Temporal Model for Fine-Grained Crime Prediction	11
Recent Few-shot Object Detection Algorithms: A Survey with Performance Comparison	11
Empowering Predictive Modeling by GAN-based Causal Information Learning	11
Significant DBSCAN+: Statistically Robust Density-based Clustering	11
Personalized Learning Path Recommendation with Time-Aware Attention Based Reinforcement Learning	10
Multi-agent Reinforcement Learning-based Adaptive Heterogeneous DAG Scheduling	10
D e ME t RIS: Counting (near)-Cliques by Crawling	10
Performance Evaluation of Aggregation-based Group Recommender Systems for Ephemeral Groups	10
MedNER: Enhanced Named Entity Recognition in Medical Corpus via Optimized Balanced and Deep Active Learning	10
Semi-Synchronous Federated Learning for Energy-Efficient Training and Accelerated Convergence in Cross-Silo Settings	10
Cascade Transformer for Hierarchical Semantic Reasoning in Text-Based Visual Question Answering	10
Adaptive Intention Learning for Session-Based Recommendation	10
Multimodal Spatio-Temporal Prediction with Stochastic Adversarial Networks	10
Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation	10
TreeSketchNet: From Sketch to 3D Tree Parameters Generation	10
Robust Neural Model for Searching over Incomplete Graphs	10
TAML: A Traffic-aware Multi-task Learning Model for Estimating Travel Time	10
Retrieving Continuous-Time Event Sequences Using Neural Temporal Point Processes with Learnable Hashing	10
A Bibliometric Review of Large Language Models Research from 2017 to 2023	10
E ² Storyline: Visualizing the Relationship with Triplet Entities and Event Discovery	9
A System for Automated Industrial Test Laboratory Scheduling	9
Real-time Road Network Optimization with Coordinated Reinforcement Learning	9
Multivariate Correlation-aware Spatio-temporal Graph Convolutional Networks for Multi-scale Traffic Prediction	9
OptiRet-Net: An Optimized Low-Light Image Enhancement Technique for CV-Based Applications in Resource-Constrained Environments	9
Bayesian Strategy Networks Based Soft Actor-Critic Learning	9
Efficient Federated Learning Using Dynamic Update and Adaptive Pruning with Momentum on Shared Server Data	9
Quintuple-based Representation Learning for Bipartite Heterogeneous Networks	9
Improving Availability of Vertical Federated Learning: Relaxing Inference on Non-overlapping Data	9
CGKPN: Cross-Graph Knowledge Propagation Network with Adaptive Connection for Reasoning-Based Machine Reading Comprehension	9
Detecting Extreme Traffic Events Via a Context Augmented Graph Autoencoder	9