ACM Transactions on Intelligent Systems and Technology

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
Crowd Flow Prediction for Irregular Regions with Semantic Graph Attention Network	62
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
MC 2 : Unsupervised Multiple Social Network Alignment	57
Improved Fake Reviews Detection Model Based on Vertical Ensemble Tri-Training and Active Learning	54
Robust Learning under Hybrid Noise	52
Robust Structure-Aware Graph-based Semi-Supervised Learning: Batch and Recursive Processing	52
Mobility Inference on Long-Tailed Sparse Trajectory	49
Integrating Algorithmic Sampling-Based Motion Planning with Learning in Autonomous Driving	47
From Representation to Response: Assessing the Alignment of Large Language Models with Human Judgment Patterns	44
Analysing the Predictability of Language Model Performance	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
Deep Causal Reasoning for Recommendations	29

Self-supervised Bipartite Graph Representation Learning: A Dirichlet Max-margin Matrix Factorization Approach	29
BATS: A Spectral Biclustering Approach to Single Document Topic Modeling and Segmentation	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
Predicting the Occurrence of Respiratory Diseases Based on Campus Indoor Air Quality	24
STExplorer: A Hierarchical Autonomous Exploration Strategy with Spatio-temporal Awareness for Aerial Robots	24
BeGin: Extensive Benchmark Scenarios and an Easy-to-use Framework for Graph Continual Learning	23
Neural Architectures for Feature Embedding in Person Re-Identification: A Comparative View	23
Spatio-temporal Graph Learning for Epidemic Prediction	23
Privacy-preserving Collaborative Filtering by Distributed Mediation	21
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
Cross-Domain HAR: Few-Shot Transfer Learning for Human Activity Recognition	20
Second-order Confidence Network for Early Classification of Time Series	20
Inferring Real Mobility in Presence of Fake Check-ins Data	19
Doing More with Less: Overcoming Data Scarcity for POI Recommendation via Cross-Region Transfer	19
Federated Learning for Personalized Humor Recognition	18
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
Detecting Misinformation on Social Media using Community Insights and Contrastive Learning	17
Multiple-Instance Learning from Pairwise Comparison Bags	17
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
Beware of Words: Evaluating the Lexical Diversity of Conversational LLMs using ChatGPT as Case Study	16
Improving Faithfulness and Factuality with Contrastive Learning in Explainable Recommendation	16
Balanced Quality Score: Measuring Popularity Debiasing in Recommendation	16
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
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
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
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
Highly Efficient Traffic Planning for Autonomous Vehicles to Cross Intersections Without a Stop	13
Fairness in Recommendation: Foundations, Methods, and Applications	13
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
Automatic generation of plausible co-occurring causes for effects explanation or prediction	12
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
Efficiently Gluing Pre-Trained Language and Vision Models for Image Captioning	11
Nationwide Air Pollution Forecasting with Heterogeneous Graph Neural Networks	11
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
Dynamic Probabilistic Graphical Model for Progressive Fake News Detection on Social Media Platform	10
ONION: Online Semantic Autoencoder Hashing for Cross-Modal Retrieval	10
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
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
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
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
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
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
Comparative Evaluation of GPT Models in FHIR Proficiency	6
Robust Dimensionality Reduction via Low-rank Laplacian Graph Learning	6
Cost-aware Best Arm Identification in Stochastic Bandits	6
Privacy-preserving Point-of-interest Recommendation based on Simplified Graph Convolutional Network for Geological Traveling	6
Memory Network-Based Interpreter of User Preferences in Content-Aware Recommender Systems	6
PIN: Application-level Consensus for Blockchain-based Artificial Intelligence Frameworks	6
MGRL4RE: A Multi-Graph Representation Learning Approach for Urban Region Embedding	6
CACTUS: A Comprehensive Abstraction and Classification Tool for Uncovering Structures	6
Disentangling User Interest and Geographical Context for POI Recommendations	6
Ranking the Transferability of Adversarial Examples	6
Classi-Fly: Inferring Aircraft Categories from Open Data	6
CFaiRLLM: Consumer Fairness Evaluation in Large-Language Model Recommender System	6
MHANER: A Multi-source Heterogeneous Graph Attention Network for Explainable Recommendation in Online Games	6
Contrastive Learning Models for Sentence Representations	6
Overcoming Diverse Undesired Effects in Recommender Systems: A Deontological Approach	6
Towards Predicting Urban Land Use Changes: A Dynamic Graph Alignment Perspective	6
Teacher-Student Framework for Polyphonic Semi-supervised Sound Event Detection: Survey and Empirical Analysis	6
3D-Guided Frontal Face Generation for Pose-Invariant Recognition	6
KOMPOS: Connecting Causal Knots in Large Nonlinear Time Series with Non-Parametric Regression Splines	6
Retentive Decision Transformer with Adaptive Masking for Reinforcement Learning based Recommendation Systems	6
FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings	6

Fine-grained Courier Delivery Behavior Recovery with a Digital Twin Based Iterative Calibration Framework	6
Fully Linear Graph Convolutional Networks for Semi-Supervised and Unsupervised Classification	6
Route Optimization via Environment-Aware Deep Network and Reinforcement Learning	6
A Multi-hop Graph Reasoning Network for Knowledge-based VQA	6
Introduction to the Special Issue on Deep Learning for Spatio-Temporal Data: Part 2	6
Unsupervised Graph Representation Learning with Cluster-aware Self-training and Refining	5
Make More Connections: Urban Traffic Flow Forecasting with Spatiotemporal Adaptive Gated Graph Convolution Network	5
Self-Adaptive Feature Transformation Networks for Object Detection in low luminance Images	5
TreeSketchNet: From Sketch to 3D Tree Parameters Generation	5
Passenger Mobility Prediction via Representation Learning for Dynamic Directed and Weighted Graphs	5
Semi-Synchronous Federated Learning for Energy-Efficient Training and Accelerated Convergence in Cross-Silo Settings	5
Empirical Review of Various Thermography-based Computer-aided Diagnostic Systems for Multiple Diseases	5
Impact of Driving Behavior on Commuter’s Comfort During Cab Rides: Towards a New Perspective of Driver Rating	5
Multi-agent Reinforcement Learning-based Adaptive Heterogeneous DAG Scheduling	5
Temporal Implicit Multimodal Networks for Investment and Risk Management	5
Fair Projections as a Means toward Balanced Recommendations	5
Hierarchical Multi-agent Model for Reinforced Medical Resource Allocation with Imperfect Information	5
MaNIACS : Approximate Mining of Frequent Subgraph Patterns through Sampling	5
Responsible Recommendation Services with Blockchain Empowered Asynchronous Federated Learning	5
Learning with Euler Collaborative Representation for Robust Pattern Analysis	5
Deep Spatio-temporal Adaptive 3D Convolutional Neural Networks for Traffic Flow Prediction	5
How do Large Language Models understand Genes and Cells	5
Improving Action Recognition via Temporal and Complementary Learning	5
Mitigating the Impact of Inaccurate Feedback in Dynamic Learning-to-Rank: A Study of Overlooked Interesting Items	5
Concept Drift Adaptation in Text Stream Mining Settings: A Systematic Review	5
DeepRoute+: Modeling Couriers’ Spatial-temporal Behaviors and Decision Preferences for Package Pick-up Route Prediction	5
Generating Daily Activities with Need Dynamics	5
“Intelligent Heuristics Are the Future of Computing”	5
Reinforced PU-learning with Hybrid Negative Sampling Strategies for Recommendation	4
VesNet: A Vessel Network for Jointly Learning Route Pattern and Future Trajectory	4
Strengthening Cooperative Consensus in Multi-Robot Confrontation	4
Local Self-attention-based Hybrid Multiple Instance Learning for Partial Spoof Speech Detection	4
Learning Representations of Satellite Imagery by Leveraging Point-of-Interests	4
Integrated Image-Text Augmentation for Few-Shot Learning in Vision-Language Models	4
A Game-theoretic Framework for Privacy-preserving Federated Learning	4
MVST: A Multi-View Spatial-Temporal Model for Fine-Grained Crime Prediction	4
Reinforcement Learning for Quantitative Trading	4
A Comprehensive Approach to On-board Autonomy Verification and Validation	4
Tapestry of Time and Actions: Modeling Human Activity Sequences Using Temporal Point Process Flows	4
Few-shot Named Entity Recognition: Definition, Taxonomy and Research Directions	4
Enabling Graph Neural Networks for Semi-Supervised Risk Prediction in Online Credit Loan Services	4
Towards Query-Efficient Black-Box Attacks: A Universal Dual Transferability-Based Framework	4
Communication-Efficient Federated Learning with Adaptive Quantization	4
StarFL: Hybrid Federated Learning Architecture for Smart Urban Computing	4
PRO-MTL : Parameterized Route Optimization using Multi-Task Learning	4
ATE-FS: An Average Treatment Effect-based Feature Selection Technique for Software Fault Prediction	4
Quantifying Levels of Influence and Causal Responsibility in Dynamic Decision Making Events	4
PerFedRec++: Enhancing Personalized Federated Recommendation with Self-Supervised Pre-Training	4
GRNN: Generative Regression Neural Network—A Data Leakage Attack for Federated Learning	4
D e ME t RIS: Counting (near)-Cliques by Crawling	4
Model-Free Deep Reinforcement Learning for Adaptive Supply Temperature Control in Collective Space Heating Systems	4
Adaptive Intention Learning for Session-Based Recommendation	4
SubgroupTE: Advancing Treatment Effect Estimation with Subgroup Identification	4
Considering Time and Feature Entropy in Calibrated Recommendations	4
Denoising structure against adversarial attacks on graph representation learning	4
Efficiency and Performance Optimization in Large Language Models through IB Fine-Tuning	4
QATCH: Automatic Evaluation of SQL-centric Tasks on Proprietary Data	3
FedBERT: When Federated Learning Meets Pre-training	3
MetaStore: A Task-adaptative Meta-learning Model for Optimal Store Placement with Multi-city Knowledge Transfer	3
Ontology-Based Driving Simulation for Traffic Lights Optimization	3
A Comprehensive Survey of Grammatical Error Correction	3
Beyond Text: Multimodal Credibility Assessment Approaches for Online User-Generated Content	3
Spatial Variability Aware Deep Neural Networks (SVANN): A General Approach	3
Adversarial Learning for Cross Domain Recommendations	3
VSumVis: Interactive Visual Understanding and Diagnosis of Video Summarization Model	3
Knowledge Graph Enhanced Contextualized Attention-Based Network for Responsible User-Specific Recommendation	3
Toward Scalable and Privacy-preserving Deep Neural Network via Algorithmic-Cryptographic Co-design	3
Customer Volume Prediction Using Fusion of Shared-private Dynamic Weighting over Multiple Modalities	3
Addressing Data Challenges to Drive the Transformation of Smart Cities	3
PSDF: Privacy-aware IoV Service Deployment with Federated Learning in Cloud-Edge Computing	3
A Comprehensive Survey of the Key Technologies and Challenges Surrounding Vehicular Ad Hoc Networks	3
Efficient Federated Matrix Factorization Against Inference Attacks	3
Recent Few-shot Object Detection Algorithms: A Survey with Performance Comparison	3
Enough Waiting for the Couriers: Learning to Estimate Package Pick-up Arrival Time from Couriers’ Spatial-Temporal Behaviors	3
WC-SBERT: Zero-Shot Topic Classification Using SBERT and Light Self-Training on Wikipedia Categories	3
Deep Reinforcement Learning-based Trajectory Pricing on Ride-hailing Platforms	3
Parallel Connected LSTM for Matrix Sequence Prediction with Elusive Correlations	3
Performance Evaluation of Aggregation-based Group Recommender Systems for Ephemeral Groups	3
Nova : Value-based Negotiation of Norms	3
T-Distributed Stochastic Neighbor Embedding for Co-Representation Learning	3
A Bibliometric Review of Large Language Models Research from 2017 to 2023	3
EMG-Based Automatic Gesture Recognition Using Lipschitz-Regularized Neural Networks	3
Weakly Supervised Spatial Deep Learning for Earth Image Segmentation Based on Imperfect Polyline Labels	3
Reasoning Abilities of Large Language Models: In-Depth Analysis on the Abstraction and Reasoning Corpus	3
Neural Methods for Data-to-text Generation	3
Federated Learning Survey: A Multi-Level Taxonomy of Aggregation Techniques, Experimental Insights, and Future Frontiers	3
Advancing Attribution-Based Neural Network Explainability through Relative Absolute Magnitude Layer-Wise Relevance Propagation and Multi-Component Evaluation	3
The Privacy Issue of Counterfactual Explanations: Explanation Linkage Attacks	3
NEAR: Neighborhood Edge AggregatoR for Graph Classification	3
CrimeTensor : Fine-Scale Crime Prediction via Tensor Learning with Spatiotemporal Consistency	2
GCFExplainer: Global Counterfactual Explainer for Graph Neural Networks	2
Libby-Novick Beta-Liouville Distribution for Enhanced Anomaly Detection in Proportional Data	2
UrbanKG: An Urban Knowledge Graph System	2
TAML: A Traffic-aware Multi-task Learning Model for Estimating Travel Time	2
A Federated Social Recommendation Approach with Enhanced Hypergraph Neural Network	2