OOIR: Observatory of International Research

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 2022-05-01 to 2026-05-01.)

Article	Citations
Introduction to the Special Issue on the Federated Learning: Algorithms, Systems, and Applications: Part 1	2280
Prediction for Sensor-Less Locations Using Multi-View Graph Fusion Approach with Approximation Module: A Case Study on Dengue Fever Risk Sensor	493
Robust Learning under Hybrid Noise	449
Modeling the Chaotic Semantic States of Generative Artificial Intelligence (AI): A Quantum Mechanics Analogy Approach	447
Steering-by-example for Progressive Visual Analytics	188
Evaluating Large Language Models as Virtual Annotators for Time-Series Physical Sensing Data	170
Cross-Hierarchical Structure-Detail-Aware Transformer for Single Image Deblurring	158
Second-order Confidence Network for Early Classification of Time Series	138
Spectraformer: A Unified Random Feature Framework for Transformer	117
Popularity Bias in Correlation Graph-based API Recommendation for Mashup Creation	117
Deep Causal Reasoning for Recommendations	108
Patch-Level Contrastive Learning for Improved Time Series Classification with Gramian Angular Field	96
Hierarchical Pruning of Deep Ensembles with Focal Diversity	79
Improving Faithfulness and Factuality with Contrastive Learning in Explainable Recommendation	79
Towards Predicting Urban Land Use Changes: A Dynamic Graph Alignment Perspective	78
Decentralized Online Learning: Take Benefits from Others’ Data without Sharing Your Own to Track Global Trend	75
Graph Stochastic Neural Process for Inductive Few-shot Knowledge Graph Completion	74
Counter-Samples: A Stateless Strategy to Neutralize Black-Box Adversarial Attacks	73
Multimodal Dialogue Systems via Capturing Context-aware Dependencies and Ordinal Information of Semantic Elements	66
3D-Guided Frontal Face Generation for Pose-Invariant Recognition	60
Configure Your Federation: Hierarchical Attention-enhanced Meta-Learning Network for Personalized Federated Learning	60
Discovering Causes of Traffic Congestion via Deep Transfer Clustering	59
Corrigendum: An Unbiased Risk Estimator for Partial Label Learning with Augmented Classes	54
Autoregressive STG-based Diffusion Model for Spatiotemporal Trajectory Generation	54
Towards a Greener and Fairer Transportation System: A Survey of Route Recommendation Techniques	51

Aspect-Enhanced Explainable Recommendation with Multi-modal Contrastive Learning	50
Fusing Cross-Domain Knowledge from Multimodal Data to Solve Problems in the Physical World	48
Prompt-based Masked Language Modeling for Numerical Reasoning	47
Cost-aware Best Arm Identification in Stochastic Bandits	47
PRO-MTL : Parameterized Route Optimization using Multi-Task Learning	43
Cross-User Federated Recommendation Unlearning	43
Introduction to the Special Issue on Transformers	41
How Do Large Language Models Understand Genes and Cells	40
AEKG4APT: An AI-Enhanced Knowledge Graph for Advanced Persistent Threats with Large Language Model Analysis	38
Cross-Region Graph Convolutional Network with Periodicity Shift Adaptation for Wide-Area SST Prediction	37
VesNet: A Vessel Network for Jointly Learning Route Pattern and Future Trajectory	36
Generating Daily Activities with Need Dynamics	36
What Your Next Check-in Might Look Like: Next Check-in Behavior Prediction	35
Reinforcement Learning for Quantitative Trading	35
Deep Learning Embedded into Smart Traps for Fruit Insect Pests Detection	33
Adapting to My User, Engaging with My Robot: An Adaptive Affective Architecture for a Social Assistive Robot	33
Towards On-device Personalization: Cloud-device Collaborative Data Augmentation for Efficient On-device Language Model	33
Ensuring Fairness and Gradient Privacy in Personalized Heterogeneous Federated Learning	33
Local Edge Dynamics and Opinion Polarization	33
QATCH: Automatic Evaluation of SQL-Centric Tasks on Proprietary Data	33
WC-SBERT: Zero-Shot Topic Classification Using SBERT and Light Self-Training on Wikipedia Categories	32
Grounding Foundation Models through Federated Transfer Learning: A General Framework	30
Breaking the Fog with SIGHT: Attention-Guided State Prediction for Partially Observable Reinforcement Learning	29
Incorporation of Data-Mined Knowledge into Black-Box SVM for Interpretability	28
Auto-weighted Robust Federated Learning with Corrupted Data Sources	28
SiG: A Siamese-Based Graph Convolutional Network to Align Knowledge in Autonomous Transportation Systems	28
Joint Structural-Functional Brain Graph Transformer	28
Physics-Based Abnormal Trajectory Gap Detection	27
SSPINNpose: A Self-Supervised PINN for Inertial Pose and Dynamics Estimation	27
Federated Learning for Electronic Health Records	26
PRiD \(\boldsymbol{\varepsilon}\) : A Contextual and Pattern-Aware Model for Digital Twins Using Genetically Optimized Differential Privacy	26
Relation Constrained Capsule Graph Neural Networks for Non-Rigid Shape Correspondence	26
A Novel Intelligent Video Surveillance System Using Low-Traffic Scene-Preserving Video Anonymization	25
GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual Reasoning	25
The Privacy Issue of Counterfactual Explanations: Explanation Linkage Attacks	25
Modeling Within-Basket Auxiliary Item Recommendation with Matchability and Ubiquity	24
Hybrid Representation and Decision Fusion towards Visual-textual Sentiment	22
The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems	22
ROIS: Role-Based Multi-Agent Collaboration by Context-Time-Aware Information Sharing	22
Balancing Cooperation and Competition: Selfish Worker Coalition Formation in Spatial Crowdsourcing	22
Fighting Misinformation in Health News: DCNN-CapsNet for Cross-Domain Health Misinformation Detection	21
Urban Computing in the Era of Large Language Models	21
Self-supervised Text Style Transfer Using Cycle-Consistent Adversarial Networks	21
Shifting Capsule Networks from the Cloud to the Deep Edge	20
Federated Inverse Probability Treatment Weighting for Individual Treatment Effect Estimation	20
Disease Simulation in Airport Scenario Based on Individual Mobility Model	20
Unsupervised Outlier Detection with Reinforced Noise Discriminator	20
Developing Time Series Forecasting Models with Generative Large Language Models	19
Demand-driven Urban Facility Visit Prediction	19
REMEND: Neural Decompilation for Reverse Engineering Math Equations from Binary Executables	19

Prior Knowledge Constrained Adaptive Graph Framework for Partial Label Learning	19
FEIR: Quantifying and Reducing Envy and Inferiority for Fair Recommendation of Limited Resources	18
Deep Reinforcement Learning for Parameter Tuning of Robot Visual Servoing	18
Federated Social Recommendation with Graph Neural Network	18
DNSRF: Deep Network-based Semi-NMF Representation Framework	17
Hyper-Laplacian Regularized Multi-View Clustering with Exclusive L21 Regularization and Tensor Log-Determinant Minimization Approach	17
MetaDetector: Meta Event Knowledge Transfer for Fake News Detection	17
Selecting and Composing Learning Rate Policies for Deep Neural Networks	17
Multi-Metric Client Activation Method for Fast and Accurate Federated Learning	17
Reconstructing Turbulent Flows Using Spatio-temporal Physical Dynamics	17
Adversarial Face Database against Deep Learning-Enabled Reconstruction Attacks	16
Matching Accounts on Blockchain via Pseudo Fine-tuning of Language Models	16
SAug: Structural Imbalance Aware Augmentation for Graph Neural Networks	16
Beyond the Singularity Myth: Artificial General Intelligence as Cumulative Infrastructural Transformation—Absorption Capacity, Epistemic Drift, and the Erosion of Human Verification Power	16
Survey of Action Recognition, Spotting, and Spatio-Temporal Localization in Soccer—Current Trends and Research Perspectives	16
FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction	15
Gray-Box Shilling Attack: An Adversarial Learning Approach	15
Dual Graph Convolution Architecture Search for Travel Time Estimation	15
A Comprehensive Survey on Multi-View Classification: Methods, Applications, and Challenges	15
Internal Rehearsals for a Reconfigurable Robot to Improve Area Coverage Performance	14
Crowd Flow Prediction for Irregular Regions with Semantic Graph Attention Network	14
Tucker Decomposition-Enhanced Dynamic Graph Convolutional Networks for Crowd Flows Prediction	14
Asymmetrical Attention Networks Fused Autoencoder for Debiased Recommendation	14
Deep Learning Inferencing with High-performance Hardware Accelerators	14
Neural Topic Modeling via Discrete Variational Inference	14
Utility-aware and Privacy-preserving Trajectory Synthesis Model that Resists Social Relationship Privacy Attacks	14
On Developing Explainable AI Evaluation Metrics for Image Classification Using Borda Count and Multiple Correlation Techniques	13
Nationwide Air Pollution Forecasting with Heterogeneous Graph Neural Networks	13
Fairness and Bias in Algorithmic Hiring: A Multidisciplinary Survey	13
Human Pose Transfer with Augmented Disentangled Feature Consistency	13
FLEE: A Hierarchical Federated Learning Framework for Distributed Deep Neural Network over Cloud, Edge, and End Device	13
Corrigendum: DESIGN: Online Device Selection and Edge Association for Federated Synergy Learning-enabled AIoT	13
Recommender System-Induced Eating Disorder Relapse: Harmful Content and the Challenges of Responsible Recommendation	13
Query Performance Prediction Using Neural Query Space Proximity	13
Talking-DiSSM: Enhancing Temporal Consistency in Talking Face Video Generation with Bidirectional SSMs	13
DIRECT: Dual Interpretable Recommendation with Multi-aspect Word Attribution	13
HRGNN: Learning Holistically Robust Graph Neural Networks on Noisy Graphs with Label Scarcity	13
The Evaluation Framework and Benchmark for Large Language Models in the Government Affairs Domain	13
A Survey on Evaluation of Large Language Models	13
Ranking the Transferability of Adversarial Examples	13
Cost-sensitive Tensor-based Dual-stage Attention LSTM with Feature Selection for Data Center Server Power Forecasting	13
Robust Recommender Systems with Rating Flip Noise	12
Cascaded Alternating Refinement Transformer for Few-shot Medical Image Segmentation	12
Probing the Symbolic Logical Reasoning Ability of Large Language Models	12
Empowering Predictive Modeling by GAN-based Causal Information Learning	12
MHGCN+: Multiplex Heterogeneous Graph Convolutional Network	12
Learning to Hash Knowledge Graph: Element-wise Rotation	12
DeMEtRIS: Counting (near)-Cliques by Crawling	11
Personalized Learning Path Recommendation with Time-Aware Attention-Based Reinforcement Learning	11
Transformer Model Embedding Dual Stream for Modulation Classification of Short Signal Samples	11
Dynamic Population Distribution Aware Human Trajectory Generation with Diffusion Model	11
Semi-Synchronous Federated Learning for Energy-Efficient Training and Accelerated Convergence in Cross-Silo Settings	11
A Comprehensive Performance Evaluation of LLMs for Data-to-Text Generation and Divergence-Weighted Training	11
Recent Few-shot Object Detection Algorithms: A Survey with Performance Comparison	11
Cascade Transformer for Hierarchical Semantic Reasoning in Text-Based Visual Question Answering	11
MVST: A Multi-View Spatial-Temporal Model for Fine-Grained Crime Prediction	11
Robust Neural Model for Searching over Incomplete Graphs	11
Adaptive Intention Learning for Session-Based Recommendation	11
Multi-agent Reinforcement Learning-based Adaptive Heterogeneous DAG Scheduling	11
A Bibliometric Review of Large Language Models Research from 2017 to 2023	10
Performance Evaluation of Aggregation-based Group Recommender Systems for Ephemeral Groups	10
Retrieving Continuous-Time Event Sequences Using Neural Temporal Point Processes with Learnable Hashing	10
Beyond Text: Multimodal Credibility Assessment Approaches for Online User-Generated Content	10
Real-time Road Network Optimization with Coordinated Reinforcement Learning	10
MedNER: Enhanced Named Entity Recognition in Medical Corpus via Optimized Balanced and Deep Active Learning	10
Improving Availability of Vertical Federated Learning: Relaxing Inference on Non-overlapping Data	10
Quintuple-based Representation Learning for Bipartite Heterogeneous Networks	10
E ² Storyline: Visualizing the Relationship with Triplet Entities and Event Discovery	10
Self-Supervised Learning for Clinical Time Series via Robust Optimization and Adaptive Data Augmentation	10
Detecting Extreme Traffic Events Via a Context Augmented Graph Autoencoder	10
Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation	10
OptiRet-Net: An Optimized Low-Light Image Enhancement Technique for CV-Based Applications in Resource-Constrained Environments	10
RenHaze: A Coarse-to-Fine Rendering Framework for Improving Robustness to Haze	10
TreeSketchNet: From Sketch to 3D Tree Parameters Generation	10
Atom-Motif Contrastive Transformer for Molecular Property Prediction	10
Bayesian Strategy Networks Based Soft Actor-Critic Learning	10
CGKPN: Cross-Graph Knowledge Propagation Network with Adaptive Connection for Reasoning-Based Machine Reading Comprehension	10