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 2021-04-01 to 2025-04-01.)

Article	Citations
Modeling N-ary Relational Knowledge Bases with Tensor Decomposition	651
Alleviating Confirmation Bias in Learning with Noisy Labels via Two-Network Collaboration	381
Predicting Citywide Crowd Dynamics at Big Events: A Deep Learning System	285
Deep Learning Inferencing with High-performance Hardware Accelerators	172
Preface to Federated Learning: Algorithms, Systems, and Applications: Part 2	114
Internal Rehearsals for a Reconfigurable Robot to Improve Area Coverage Performance	87
Dynamic Weights and Prior Reward in Policy Fusion for Compound Agent Learning	72
INN: An Interpretable Neural Network for AI Incubation in Manufacturing	63
Mitigating Recommendation Biases via Group-Alignment and Global-Uniformity in Representation Learning	62
Cross-Silo Federated Learning for Multi-Tier Networks with Vertical and Horizontal Data Partitioning	62
Crowd Flow Prediction for Irregular Regions with Semantic Graph Attention Network	62
MC ² : Unsupervised Multiple Social Network Alignment	57
Improved Fake Reviews Detection Model Based on Vertical Ensemble Tri-Training and Active Learning	54
Robust Structure-Aware Graph-based Semi-Supervised Learning: Batch and Recursive Processing	52
Robust Learning under Hybrid Noise	52
Mobility Inference on Long-Tailed Sparse Trajectory	49
Integrating Algorithmic Sampling-Based Motion Planning with Learning in Autonomous Driving	47
Analysing the Predictability of Language Model Performance	44
From Representation to Response: Assessing the Alignment of Large Language Models with Human Judgment Patterns	44
Saliency Attack: Towards Imperceptible Black-box Adversarial Attack	38
Isomorphic Graph Embedding for Progressive Maximal Frequent Subgraph Mining	37
Instant Basketball Defensive Trajectory Generation	32
One-step Multi-view Clustering with Consensus Graph and Data Representation Convolution	31
Hierarchical Pruning of Deep Ensembles with Focal Diversity	30
BATS: A Spectral Biclustering Approach to Single Document Topic Modeling and Segmentation	29

Deep Causal Reasoning for Recommendations	29
Self-supervised Bipartite Graph Representation Learning: A Dirichlet Max-margin Matrix Factorization Approach	29
Privacy Preservation for Trajectory Publication Based on Differential Privacy	28
Adversarial Missingness Attacks on Causal Structure Learning	26
A Semantically Driven Hybrid Network for Unsupervised Entity Alignment	25
STExplorer: A Hierarchical Autonomous Exploration Strategy with Spatio-temporal Awareness for Aerial Robots	24
Predicting the Occurrence of Respiratory Diseases Based on Campus Indoor Air Quality	24
Neural Architectures for Feature Embedding in Person Re-Identification: A Comparative View	23
Spatio-temporal Graph Learning for Epidemic Prediction	23
BeGin: Extensive Benchmark Scenarios and an Easy-to-use Framework for Graph Continual Learning	23
Asymmetrical Attention Networks Fused Autoencoder for Debiased Recommendation	21
Recommender System-Induced Eating Disorder Relapse: Harmful Content and the Challenges of Responsible Recommendation	21
Popularity Bias in Correlation Graph-based API Recommendation for Mashup Creation	21
Exploring the Risky Travel Area and Behavior of Car-hailing Service	21
Privacy-preserving Collaborative Filtering by Distributed Mediation	21
Second-order Confidence Network for Early Classification of Time Series	20
Cross-Domain HAR: Few-Shot Transfer Learning for Human Activity Recognition	20
Doing More with Less: Overcoming Data Scarcity for POI Recommendation via Cross-Region Transfer	19
Inferring Real Mobility in Presence of Fake Check-ins Data	19
Steering-by-example for Progressive Visual Analytics	18
Cost-sensitive Tensor-based Dual-stage Attention LSTM with Feature Selection for Data Center Server Power Forecasting	18
Tucker Decomposition-Enhanced Dynamic Graph Convolutional Networks for Crowd Flows Prediction	18
Federated Learning for Personalized Humor Recognition	18
Optimizing Privacy, Utility, and Efficiency in a Constrained Multi-Objective Federated Learning Framework	17
FedCMD: A Federated Cross-modal Knowledge Distillation for Drivers’ Emotion Recognition	17
The Social Cognition Ability Evaluation of LLMs: A Dynamic Gamified Assessment and Hierarchical Social Learning Measurement Approach	17
Detecting Misinformation on Social Media using Community Insights and Contrastive Learning	17
Multiple-Instance Learning from Pairwise Comparison Bags	17
Improving Faithfulness and Factuality with Contrastive Learning in Explainable Recommendation	16
Balanced Quality Score: Measuring Popularity Debiasing in Recommendation	16
Beware of Words: Evaluating the Lexical Diversity of Conversational LLMs using ChatGPT as Case Study	16
Introduction to the Special Issue on the Federated Learning: Algorithms, Systems, and Applications: Part 1	15
Causal Discovery with Confounding Cascade Nonlinear Additive Noise Models	15
ACM TIST Special Issue on Deep Learning for Spatio-Temporal Data: Part 1	15
Introduction to the Special Issue on Intelligent Trajectory Analytics: Part II	15
Evolving Knowledge Graph Representation Learning with Multiple Attention Strategies for Citation Recommendation System	15
The Evaluation Framework and Benchmark for Large Language Models in the Government Affairs Domain	14
You Are How You Use Apps: User Profiling Based on Spatiotemporal App Usage Behavior	14
Origin-Aware Location Prediction Based on Historical Vehicle Trajectories	14
Quantized Adam with Error Feedback	14
Prediction for Sensor-less Locations Using Multi-View Graph Fusion Approach with Approximation Module: A Case Study on Dengue Fever Risk Sensor	14
Generative AI in Fashion: Overview	14
Predicting Future Locations with Semantic Trajectories	13
A Review on Source Code Documentation	13
POLLA: Enhancing the Local Structure Awareness in Long Sequence Spatial-temporal Modeling	13
Reinforced Explainable Knowledge Concept Recommendation in MOOCs	13
Highly Efficient Traffic Planning for Autonomous Vehicles to Cross Intersections Without a Stop	13
Fairness in Recommendation: Foundations, Methods, and Applications	13
Neural Topic Modeling via Discrete Variational Inference	12
Multiview Common Subspace Clustering via Coupled Low Rank Representation	12

Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges	12
Automatic generation of plausible co-occurring causes for effects explanation or prediction	12
ReuseKNN: Neighborhood Reuse for Differentially Private KNN-Based Recommendations	11
An Attentive Survey of Attention Models	11
Evaluating Large Language Models as Virtual Annotators for Time-series Physical Sensing Data	11
A Comprehensive Survey on Model Quantization for Deep Neural Networks in Image Classification	11
Efficiently Gluing Pre-Trained Language and Vision Models for Image Captioning	11
Nationwide Air Pollution Forecasting with Heterogeneous Graph Neural Networks	11
A Joint Entity and Relation Extraction Model based on Efficient Sampling and Explicit Interaction	10
Fairness and Bias in Algorithmic Hiring: A Multidisciplinary Survey	10
Trustworthy Recommender Systems	10
Dynamic Probabilistic Graphical Model for Progressive Fake News Detection on Social Media Platform	10
ONION: Online Semantic Autoencoder Hashing for Cross-Modal Retrieval	10
Credit Card Fraud Detection via Intelligent Sampling and Self-supervised Learning	9
A Foraging Strategy with Risk Response for Individual Robots in Adversarial Environments	9
Decentralized Online Learning: Take Benefits from Others’ Data without Sharing Your Own to Track Global Trend	9
MHGCN+: Multiplex Heterogeneous Graph Convolutional Network	9
Aspect-Enhanced Explainable Recommendation with Multi-modal Contrastive Learning	9
A Survey on Evaluation of Large Language Models	9
Multi-aspect Understanding with Cooperative Graph Attention Networks for Medical Dialogue Information Extraction	9
M2SKD: Multi-to-Single Knowledge Distillation of Real-Time Epileptic Seizure Detection for Low-Power Wearable Systems	9
KGDA: A Knowledge Graph Driven Decomposition Approach for Cellular Traffic Prediction	9
Utility-aware and Privacy-preserving Trajectory Synthesis Model that Resists Social Relationship Privacy Attacks	9
Federated Momentum Contrastive Clustering	9
Identifying Illicit Drug Dealers on Instagram with Large-scale Multimodal Data Fusion	9
Empowering Predictive Modeling by GAN-based Causal Information Learning	9
Redundant Label Learning via Subspace Representation and Global Disambiguation	8
Discovering Causes of Traffic Congestion via Deep Transfer Clustering	8
Obfuscating the Dataset: Impacts and Applications	8
Federated Clique Percolation for Privacy-preserving Overlapping Community Detection	8
Counterfactual Explainer for Deep Reinforcement Learning Models using Policy Distillation	8
GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning	8
Human Pose Transfer with Augmented Disentangled Feature Consistency	8
Learning Privacy-Preserving Embeddings for Image Data to Be Published	8
A Dynamic Convolutional Neural Network Based Shared-Bike Demand Forecasting Model	8
Significant DBSCAN+: Statistically Robust Density-based Clustering	8
Efficient and Effective Similar Subtrajectory Search: A Spatial-aware Comprehension Approach	8
Exploring Structure Incentive Domain Adversarial Learning for Generalizable Sleep Stage Classification	8
Online Spatial-Temporal EV Charging Scheduling with Incentive Promotion	8
RANGO: A Novel Deep Learning Approach to Detect Drones Disguising from Video Surveillance Systems	7
Configure Your Federation: Hierarchical Attention-enhanced Meta-Learning Network for Personalized Federated Learning	7
Cascaded Alternating Refinement Transformer for Few-shot Medical Image Segmentation	7
Special Issue on Responsible Recommender Systems Part 1	7
Reinforcement Learning for Solving Multiple Vehicle Routing Problem with Time Window	7
Discovering Expert-Level Air Combat Knowledge via Deep Excitatory-Inhibitory Factorized Reinforcement Learning	7
Multimodal Dialogue Systems via Capturing Context-aware Dependencies and Ordinal Information of Semantic Elements	7
“In-Network Ensemble”: Deep Ensemble Learning with Diversified Knowledge Distillation	7
Adaptive Integration of Categorical and Multi-relational Ontologies with EHR Data for Medical Concept Embedding	7
FLAME: Self-Supervised Low-Resource Taxonomy Expansion Using Large Language Models	7
Gradient-Based Adversarial Training on Transformer Networks for Detecting Check-Worthy Factual Claims	7
Robust Recommender Systems with Rating Flip Noise	7
Advancing Session-Based Recommendations with Atten-Mixer+: Dynamic and Adaptive Multi-Level Intent Mining	7
DIRECT: Dual Interpretable Recommendation with Multi-aspect Word Attribution	7
Towards a Greener and Fairer Transportation System: A Survey of Route Recommendation Techniques	7
Multimodal Large Language Model with LoRA Fine-Tuning for Multimodal Sentiment Analysis	7
Misinformation Resilient Search Rankings with Webgraph-Based Interventions	7
An Unbiased Risk Estimator for Partial Label Learning with Augmented Classes	7
FLEE: A Hierarchical Federated Learning Framework for Distributed Deep Neural Network over Cloud, Edge, and End Device	7
Biomedical Information Retrieval with Positive-Unlabeled Learning and Knowledge Graphs	7