OOIR: Observatory of International Research

Papers

(The TQCC of ACM Transactions on Intelligent Systems and Technology is 7. 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.)

Article	Citations
Introduction to the Special Issue on the Federated Learning: Algorithms, Systems, and Applications: Part 1	761
Popularity Bias in Correlation Graph-based API Recommendation for Mashup Creation	394
Steering-by-example for Progressive Visual Analytics	299
Second-order Confidence Network for Early Classification of Time Series	186
Improving Faithfulness and Factuality with Contrastive Learning in Explainable Recommendation	135
Deep Causal Reasoning for Recommendations	91
Privacy Preservation for Trajectory Publication Based on Differential Privacy	79
Evaluating Large Language Models as Virtual Annotators for Time-series Physical Sensing Data	68
Robust Learning under Hybrid Noise	68
Prediction for Sensor-Less Locations Using Multi-View Graph Fusion Approach with Approximation Module: A Case Study on Dengue Fever Risk Sensor	65
Hierarchical Pruning of Deep Ensembles with Focal Diversity	65
Route Optimization via Environment-Aware Deep Network and Reinforcement Learning	63
Aspect-Enhanced Explainable Recommendation with Multi-modal Contrastive Learning	62
Cost-aware Best Arm Identification in Stochastic Bandits	56
Multimodal Dialogue Systems via Capturing Context-aware Dependencies and Ordinal Information of Semantic Elements	53
3D-Guided Frontal Face Generation for Pose-Invariant Recognition	53
Towards Predicting Urban Land Use Changes: A Dynamic Graph Alignment Perspective	53
Configure Your Federation: Hierarchical Attention-enhanced Meta-Learning Network for Personalized Federated Learning	50
Discovering Causes of Traffic Congestion via Deep Transfer Clustering	47
Towards a Greener and Fairer Transportation System: A Survey of Route Recommendation Techniques	42
Decentralized Online Learning: Take Benefits from Others’ Data without Sharing Your Own to Track Global Trend	39
Generating Daily Activities with Need Dynamics	35
PRO-MTL : Parameterized Route Optimization using Multi-Task Learning	32
How do Large Language Models understand Genes and Cells	31
Auto-weighted Robust Federated Learning with Corrupted Data Sources	30

Reinforcement Learning for Quantitative Trading	30
Incorporation of Data-Mined Knowledge into Black-Box SVM for Interpretability	30
VesNet: A Vessel Network for Jointly Learning Route Pattern and Future Trajectory	30
What Your Next Check-in Might Look Like: Next Check-in Behavior Prediction	29
Detecting and Analyzing Collusive Entities on YouTube	28
VSumVis: Interactive Visual Understanding and Diagnosis of Video Summarization Model	28
WC-SBERT: Zero-Shot Topic Classification Using SBERT and Light Self-Training on Wikipedia Categories	27
Adapting to My User, Engaging with My Robot: An Adaptive Affective Architecture for a Social Assistive Robot	26
Relation Constrained Capsule Graph Neural Networks for Non-Rigid Shape Correspondence	26
Physics-Based Abnormal Trajectory Gap Detection	25
Local Edge Dynamics and Opinion Polarization	24
Deep Reinforcement Learning-based Trajectory Pricing on Ride-hailing Platforms	24
Introduction to the Special Issue on Intelligent Trajectory Analytics: Part I	24
A Novel Intelligent Video Surveillance System Using Low-Traffic Scene-Preserving Video Anonymization	23
Ensuring Fairness and Gradient Privacy in Personalized Heterogeneous Federated Learning	23
QATCH: Automatic Evaluation of SQL-Centric Tasks on Proprietary Data	23
SiG: A Siamese-Based Graph Convolutional Network to Align Knowledge in Autonomous Transportation Systems	23
GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual Reasoning	21
Joint Structural-Functional Brain Graph Transformer	21
Deep Learning Embedded into Smart Traps for Fruit Insect Pests Detection	20
The Privacy Issue of Counterfactual Explanations: Explanation Linkage Attacks	19
Federated Learning for Electronic Health Records	19
Collaborative Local-Global Learning for Temporal Action Proposal	18
Developing Time Series Forecasting Models with Generative Large Language Models	18
Shifting Capsule Networks from the Cloud to the Deep Edge	18
A Camera Identity-guided Distribution Consistency Method for Unsupervised Multi-target Domain Person Re-identification	18
Demand-driven Urban Facility Visit Prediction	18
Prior Knowledge Constrained Adaptive Graph Framework for Partial Label Learning	18
Hybrid Representation and Decision Fusion towards Visual-textual Sentiment	18
A GDPR-compliant Ecosystem for Speech Recognition with Transfer, Federated, and Evolutionary Learning	17
Disease Simulation in Airport Scenario Based on Individual Mobility Model	17
Modeling Within-Basket Auxiliary Item Recommendation with Matchability and Ubiquity	17
Unsupervised Outlier Detection with Reinforced Noise Discriminator	16
The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems	16
Federated Social Recommendation with Graph Neural Network	16
Self-supervised Text Style Transfer Using Cycle-Consistent Adversarial Networks	15
Data-driven Targeted Advertising Recommendation System for Outdoor Billboard	15
Deep Reinforcement Learning for Parameter Tuning of Robot Visual Servoing	14
MetaDetector: Meta Event Knowledge Transfer for Fake News Detection	14
Dual Graph Convolution Architecture Search for Travel Time Estimation	14
FEIR: Quantifying and Reducing Envy and Inferiority for Fair Recommendation of Limited Resources	14
Graph Sequence Neural Network with an Attention Mechanism for Traffic Speed Prediction	14
Hyper-Laplacian Regularized Multi-View Clustering with Exclusive L21 Regularization and Tensor Log-Determinant Minimization Approach	14
SAug: Structural Imbalance Aware Augmentation for Graph Neural Networks	14
Selecting and Composing Learning Rate Policies for Deep Neural Networks	14
DNSRF: Deep Network-based Semi-NMF Representation Framework	14
Reconstructing Turbulent Flows Using Spatio-temporal Physical Dynamics	14
COVID-GAN+: Estimating Human Mobility Responses to COVID-19 through Spatio-temporal Generative Adversarial Networks with Enhanced Features	14
Recommender System-Induced Eating Disorder Relapse: Harmful Content and the Challenges of Responsible Recommendation	13
FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction	13

Tucker Decomposition-Enhanced Dynamic Graph Convolutional Networks for Crowd Flows Prediction	13
Asymmetrical Attention Networks Fused Autoencoder for Debiased Recommendation	13
Exploring the Risky Travel Area and Behavior of Car-hailing Service	13
Gray-Box Shilling Attack: An Adversarial Learning Approach	13
The Evaluation Framework and Benchmark for Large Language Models in the Government Affairs Domain	12
POLLA: Enhancing the Local Structure Awareness in Long Sequence Spatial-temporal Modeling	12
Predicting Future Locations with Semantic Trajectories	12
Utility-aware and Privacy-preserving Trajectory Synthesis Model that Resists Social Relationship Privacy Attacks	11
BATS: A Spectral Biclustering Approach to Single Document Topic Modeling and Segmentation	11
Fairness and Bias in Algorithmic Hiring: A Multidisciplinary Survey	11
Internal Rehearsals for a Reconfigurable Robot to Improve Area Coverage Performance	11
Cost-sensitive Tensor-based Dual-stage Attention LSTM with Feature Selection for Data Center Server Power Forecasting	11
Neural Topic Modeling via Discrete Variational Inference	11
Deep Learning Inferencing with High-performance Hardware Accelerators	11
Nationwide Air Pollution Forecasting with Heterogeneous Graph Neural Networks	10
FLEE: A Hierarchical Federated Learning Framework for Distributed Deep Neural Network over Cloud, Edge, and End Device	10
Ranking the Transferability of Adversarial Examples	10
Robust Recommender Systems with Rating Flip Noise	10
A Survey on Evaluation of Large Language Models	10
DIRECT: Dual Interpretable Recommendation with Multi-aspect Word Attribution	10
Human Pose Transfer with Augmented Disentangled Feature Consistency	10
Empowering Predictive Modeling by GAN-based Causal Information Learning	10
Crowd Flow Prediction for Irregular Regions with Semantic Graph Attention Network	10
Introduction to the Special Issue on Deep Learning for Spatio-Temporal Data: Part 2	10
Cascaded Alternating Refinement Transformer for Few-shot Medical Image Segmentation	10
MHGCN+: Multiplex Heterogeneous Graph Convolutional Network	10
A Comprehensive Approach to On-board Autonomy Verification and Validation	9
Probing the Symbolic Logical Reasoning Ability of Large Language Models	9
Cascade Transformer for Hierarchical Semantic Reasoning in Text-Based Visual Question Answering	9
TreeSketchNet: From Sketch to 3D Tree Parameters Generation	9
D e ME t RIS: Counting (near)-Cliques by Crawling	9
Adaptive Intention Learning for Session-Based Recommendation	9
MVST: A Multi-View Spatial-Temporal Model for Fine-Grained Crime Prediction	9
Significant DBSCAN+: Statistically Robust Density-based Clustering	9
Multi-agent Reinforcement Learning-based Adaptive Heterogeneous DAG Scheduling	9
StarFL: Hybrid Federated Learning Architecture for Smart Urban Computing	9
Quintuple-based Representation Learning for Bipartite Heterogeneous Networks	8
E ² Storyline: Visualizing the Relationship with Triplet Entities and Event Discovery	8
Semi-Synchronous Federated Learning for Energy-Efficient Training and Accelerated Convergence in Cross-Silo Settings	8
Modeling Complementarity in Behavior Data with Multi-Type Itemset Embedding	8
MedNER: Enhanced Named Entity Recognition in Medical Corpus via Optimized Balanced and Deep Active Learning	8
A System for Automated Industrial Test Laboratory Scheduling	8
Multimodal Spatio-Temporal Prediction with Stochastic Adversarial Networks	8
Recent Few-shot Object Detection Algorithms: A Survey with Performance Comparison	8
Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation	8
OptiRet-Net: An Optimized Low-Light Image Enhancement Technique for CV-Based Applications in Resource-Constrained Environments	8
Real-time Road Network Optimization with Coordinated Reinforcement Learning	8
Retrieving Continuous-Time Event Sequences Using Neural Temporal Point Processes with Learnable Hashing	8
A Bibliometric Review of Large Language Models Research from 2017 to 2023	8
Detecting Extreme Traffic Events Via a Context Augmented Graph Autoencoder	8
Bayesian Strategy Networks Based Soft Actor-Critic Learning	8
Multivariate Correlation-aware Spatio-temporal Graph Convolutional Networks for Multi-scale Traffic Prediction	7
TAML: A Traffic-aware Multi-task Learning Model for Estimating Travel Time	7
Qrowdsmith: Enhancing Paid Microtask Crowdsourcing with Gamification and Furtherance Incentives	7
Weakly Supervised Video Object Segmentation via Dual-attention Cross-branch Fusion	7
A Holistic Approach for Role Inference and Action Anticipation in Human Teams	7
Explaining Neural News Recommendation with Attributions onto Reading Histories	7
A Survey on Graph Representation Learning Methods	7
Efficient Federated Learning Using Dynamic Update and Adaptive Pruning with Momentum on Shared Server Data	7
Improving Availability of Vertical Federated Learning: Relaxing Inference on Non-overlapping Data	7
Optimal Treatment Strategies for Critical Patients with Deep Reinforcement Learning	7
RCCNet: A Spatial-Temporal Neural Network Model for Logistics Delivery Timely Rate Prediction	7
DDNAS: Discretized Differentiable Neural Architecture Search for Text Classification	7
Performance Evaluation of Aggregation-based Group Recommender Systems for Ephemeral Groups	7
Beyond Text: Multimodal Credibility Assessment Approaches for Online User-Generated Content	7
CGKPN: Cross-Graph Knowledge Propagation Network with Adaptive Connection for Reasoning-Based Machine Reading Comprehension	7
Federated Learning for Healthcare: Systematic Review and Architecture Proposal	7
JASRNet: Learning Joint Adaptive Sampling and Reconstruction for Depth Sensing	7
Question-Attentive Review-Level Explanation for Neural Rating Regression	7
A Unified Framework for Analyzing Textual Context and Intent in Social Media	7