ACM Transactions on Intelligent Systems and Technology

Article	Citations
Introduction to the Special Issue on the Federated Learning: Algorithms, Systems, and Applications: Part 1	1233
Hierarchical Pruning of Deep Ensembles with Focal Diversity	440
Robust Learning under Hybrid Noise	355
Second-order Confidence Network for Early Classification of Time Series	234
Popularity Bias in Correlation Graph-based API Recommendation for Mashup Creation	224
Prediction for Sensor-Less Locations Using Multi-View Graph Fusion Approach with Approximation Module: A Case Study on Dengue Fever Risk Sensor	117
Improving Faithfulness and Factuality with Contrastive Learning in Explainable Recommendation	100
Steering-by-example for Progressive Visual Analytics	96
Cross-Hierarchical Structure-Detail-Aware Transformer for Single Image Deblurring	95
Modeling the Chaotic Semantic States of Generative Artificial Intelligence (AI): A Quantum Mechanics Analogy Approach	85
Evaluating Large Language Models as Virtual Annotators for Time-series Physical Sensing Data	82
Privacy Preservation for Trajectory Publication Based on Differential Privacy	79
Deep Causal Reasoning for Recommendations	78
Aspect-Enhanced Explainable Recommendation with Multi-modal Contrastive Learning	76
Towards a Greener and Fairer Transportation System: A Survey of Route Recommendation Techniques	64
Counter-Samples: A Stateless Strategy to Neutralize Black-Box Adversarial Attacks	63
3D-Guided Frontal Face Generation for Pose-Invariant Recognition	62
Configure Your Federation: Hierarchical Attention-enhanced Meta-Learning Network for Personalized Federated Learning	61
Discovering Causes of Traffic Congestion via Deep Transfer Clustering	59
Route Optimization via Environment-Aware Deep Network and Reinforcement Learning	56
Prompt-based Masked Language Modeling for Numerical Reasoning	50
Multimodal Dialogue Systems via Capturing Context-aware Dependencies and Ordinal Information of Semantic Elements	46
Cost-aware Best Arm Identification in Stochastic Bandits	43
Decentralized Online Learning: Take Benefits from Others’ Data without Sharing Your Own to Track Global Trend	40
Towards Predicting Urban Land Use Changes: A Dynamic Graph Alignment Perspective	40

VesNet: A Vessel Network for Jointly Learning Route Pattern and Future Trajectory	36
Generating Daily Activities with Need Dynamics	35
AEKG4APT: An AI-Enhanced Knowledge Graph for Advanced Persistent Threats with Large Language Model Analysis	34
Cross-User Federated Recommendation Unlearning	33
PRO-MTL : Parameterized Route Optimization using Multi-Task Learning	33
Cross-Region Graph Convolutional Network with Periodicity Shift Adaptation for Wide-Area SST Prediction	33
How do Large Language Models understand Genes and Cells	32
Reinforcement Learning for Quantitative Trading	32
Detecting and Analyzing Collusive Entities on YouTube	30
Relation Constrained Capsule Graph Neural Networks for Non-Rigid Shape Correspondence	30
SiG: A Siamese-Based Graph Convolutional Network to Align Knowledge in Autonomous Transportation Systems	30
WC-SBERT: Zero-Shot Topic Classification Using SBERT and Light Self-Training on Wikipedia Categories	30
Ensuring Fairness and Gradient Privacy in Personalized Heterogeneous Federated Learning	30
The Privacy Issue of Counterfactual Explanations: Explanation Linkage Attacks	30
Introduction to the Special Issue on Intelligent Trajectory Analytics: Part I	29
GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual Reasoning	28
Adapting to My User, Engaging with My Robot: An Adaptive Affective Architecture for a Social Assistive Robot	28
QATCH: Automatic Evaluation of SQL-Centric Tasks on Proprietary Data	27
A Novel Intelligent Video Surveillance System Using Low-Traffic Scene-Preserving Video Anonymization	26
Joint Structural-Functional Brain Graph Transformer	25
Incorporation of Data-Mined Knowledge into Black-Box SVM for Interpretability	23
Physics-Based Abnormal Trajectory Gap Detection	23
What Your Next Check-in Might Look Like: Next Check-in Behavior Prediction	23
Auto-weighted Robust Federated Learning with Corrupted Data Sources	21
Federated Learning for Electronic Health Records	21
Grounding Foundation Models through Federated Transfer Learning: A General Framework	21
Deep Learning Embedded into Smart Traps for Fruit Insect Pests Detection	21
Local Edge Dynamics and Opinion Polarization	21
Deep Reinforcement Learning-based Trajectory Pricing on Ride-hailing Platforms	21
Hybrid Representation and Decision Fusion towards Visual-textual Sentiment	19
Prior Knowledge Constrained Adaptive Graph Framework for Partial Label Learning	19
Data-driven Targeted Advertising Recommendation System for Outdoor Billboard	19
Disease Simulation in Airport Scenario Based on Individual Mobility Model	19
Federated Social Recommendation with Graph Neural Network	19
Unsupervised Outlier Detection with Reinforced Noise Discriminator	19
Modeling Within-Basket Auxiliary Item Recommendation with Matchability and Ubiquity	18
Developing Time Series Forecasting Models with Generative Large Language Models	18
Self-supervised Text Style Transfer Using Cycle-Consistent Adversarial Networks	18
Demand-driven Urban Facility Visit Prediction	18
Collaborative Local-Global Learning for Temporal Action Proposal	18
Balancing Cooperation and Competition: Selfish Worker Coalition Formation in Spatial Crowdsourcing	18
The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems	17
Selecting and Composing Learning Rate Policies for Deep Neural Networks	17
MetaDetector: Meta Event Knowledge Transfer for Fake News Detection	17
Shifting Capsule Networks from the Cloud to the Deep Edge	17
Dual Graph Convolution Architecture Search for Travel Time Estimation	17
REMEND: Neural Decompilation for Reverse Engineering Math Equations from Binary Executables	17
FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction	17
Graph Sequence Neural Network with an Attention Mechanism for Traffic Speed Prediction	17
COVID-GAN+: Estimating Human Mobility Responses to COVID-19 through Spatio-temporal Generative Adversarial Networks with Enhanced Features	16

Reconstructing Turbulent Flows Using Spatio-temporal Physical Dynamics	16
Deep Reinforcement Learning for Parameter Tuning of Robot Visual Servoing	16
FEIR: Quantifying and Reducing Envy and Inferiority for Fair Recommendation of Limited Resources	16
Hyper-Laplacian Regularized Multi-View Clustering with Exclusive L21 Regularization and Tensor Log-Determinant Minimization Approach	16
SAug: Structural Imbalance Aware Augmentation for Graph Neural Networks	16
Nationwide Air Pollution Forecasting with Heterogeneous Graph Neural Networks	15
Utility-aware and Privacy-preserving Trajectory Synthesis Model that Resists Social Relationship Privacy Attacks	15
DNSRF: Deep Network-based Semi-NMF Representation Framework	15
Deep Learning Inferencing with High-performance Hardware Accelerators	15
Internal Rehearsals for a Reconfigurable Robot to Improve Area Coverage Performance	15
Recommender System-Induced Eating Disorder Relapse: Harmful Content and the Challenges of Responsible Recommendation	15
Crowd Flow Prediction for Irregular Regions with Semantic Graph Attention Network	15
Tucker Decomposition-Enhanced Dynamic Graph Convolutional Networks for Crowd Flows Prediction	15
Gray-Box Shilling Attack: An Adversarial Learning Approach	15
Cost-sensitive Tensor-based Dual-stage Attention LSTM with Feature Selection for Data Center Server Power Forecasting	14
Neural Topic Modeling via Discrete Variational Inference	14
Asymmetrical Attention Networks Fused Autoencoder for Debiased Recommendation	14
BATS: A Spectral Biclustering Approach to Single Document Topic Modeling and Segmentation	14
Fairness and Bias in Algorithmic Hiring: A Multidisciplinary Survey	13
POLLA: Enhancing the Local Structure Awareness in Long Sequence Spatial-temporal Modeling	13
Exploring the Risky Travel Area and Behavior of Car-hailing Service	13
A Survey on Evaluation of Large Language Models	13
The Evaluation Framework and Benchmark for Large Language Models in the Government Affairs Domain	13
Predicting Future Locations with Semantic Trajectories	13
Empowering Predictive Modeling by GAN-based Causal Information Learning	12
Significant DBSCAN+: Statistically Robust Density-based Clustering	12
Probing the Symbolic Logical Reasoning Ability of Large Language Models	12
Talking-DiSSM: Enhancing Temporal Consistency in Talking Face Video Generation with Bidirectional SSMs	12
MHGCN+: Multiplex Heterogeneous Graph Convolutional Network	12
Ranking the Transferability of Adversarial Examples	12
Cascaded Alternating Refinement Transformer for Few-shot Medical Image Segmentation	12
Human Pose Transfer with Augmented Disentangled Feature Consistency	12
Introduction to the Special Issue on Deep Learning for Spatio-Temporal Data: Part 2	12
DIRECT: Dual Interpretable Recommendation with Multi-aspect Word Attribution	12
Robust Recommender Systems with Rating Flip Noise	12
TreeSketchNet: From Sketch to 3D Tree Parameters Generation	11
FLEE: A Hierarchical Federated Learning Framework for Distributed Deep Neural Network over Cloud, Edge, and End Device	11
Recent Few-shot Object Detection Algorithms: A Survey with Performance Comparison	11
DeMEtRIS: Counting (near)-Cliques by Crawling	11
Learning to Hash Knowledge Graph: Element-wise Rotation	11
Adaptive Intention Learning for Session-Based Recommendation	11
Robust Neural Model for Searching over Incomplete Graphs	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
Multi-agent Reinforcement Learning-based Adaptive Heterogeneous DAG Scheduling	11
Personalized Learning Path Recommendation with Time-Aware Attention Based Reinforcement Learning	11
A Bibliometric Review of Large Language Models Research from 2017 to 2023	11
Quintuple-based Representation Learning for Bipartite Heterogeneous Networks	10
Performance Evaluation of Aggregation-based Group Recommender Systems for Ephemeral Groups	10
Multimodal Spatio-Temporal Prediction with Stochastic Adversarial Networks	10
E 2 Storyline: Visualizing the Relationship with Triplet Entities and Event Discovery	10
Semi-Synchronous Federated Learning for Energy-Efficient Training and Accelerated Convergence in Cross-Silo Settings	10
Retrieving Continuous-Time Event Sequences Using Neural Temporal Point Processes with Learnable Hashing	10
OptiRet-Net: An Optimized Low-Light Image Enhancement Technique for CV-Based Applications in Resource-Constrained Environments	10
Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation	10
TAML: A Traffic-aware Multi-task Learning Model for Estimating Travel Time	10
MedNER: Enhanced Named Entity Recognition in Medical Corpus via Optimized Balanced and Deep Active Learning	10
A System for Automated Industrial Test Laboratory Scheduling	9
Efficient Federated Learning Using Dynamic Update and Adaptive Pruning with Momentum on Shared Server Data	9
Beyond Text: Multimodal Credibility Assessment Approaches for Online User-Generated Content	9
Federated Learning for Healthcare: Systematic Review and Architecture Proposal	9
A Survey on Graph Representation Learning Methods	9
Improving Availability of Vertical Federated Learning: Relaxing Inference on Non-overlapping Data	9
Qrowdsmith: Enhancing Paid Microtask Crowdsourcing with Gamification and Furtherance Incentives	9
Bayesian Strategy Networks Based Soft Actor-Critic Learning	9
CGKPN: Cross-Graph Knowledge Propagation Network with Adaptive Connection for Reasoning-Based Machine Reading Comprehension	9
Real-time Road Network Optimization with Coordinated Reinforcement Learning	9
Detecting Extreme Traffic Events Via a Context Augmented Graph Autoencoder	9
JASRNet: Learning Joint Adaptive Sampling and Reconstruction for Depth Sensing	9
Multivariate Correlation-aware Spatio-temporal Graph Convolutional Networks for Multi-scale Traffic Prediction	9
A Holistic Approach for Role Inference and Action Anticipation in Human Teams	8
RCCNet: A Spatial-Temporal Neural Network Model for Logistics Delivery Timely Rate Prediction	8
GPT-4V(ision) as A Social Media Analysis Engine	8
HiGRN: A Hierarchical Graph Recurrent Network for Global Sea Surface Temperature Prediction	8
Question-Attentive Review-Level Explanation for Neural Rating Regression	8
Weakly Supervised Video Object Segmentation via Dual-attention Cross-branch Fusion	8
CLC: A Consensus-based Label Correction Approach in Federated Learning	8
Supply-Demand-aware Deep Reinforcement Learning for Dynamic Fleet Management	8
Explaining Neural News Recommendation with Attributions onto Reading Histories	8
Enriching Responses with Crowd-Sourced Knowledge for Task-Oriented Conversational Agents	8

A Unified Framework for Analyzing Textual Context and Intent in Social Media	8
Adversarial Attacks on Deep Reinforcement Learning-based Traffic Signal Control Systems with Colluding Vehicles	8
DDNAS: Discretized Differentiable Neural Architecture Search for Text Classification	8
Optimal Treatment Strategies for Critical Patients with Deep Reinforcement Learning	8
Enhancing Aspect Sentiment Classification with Dual-Channel Graph Convolutional Network	8
LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations	7
Watermarking in Secure Federated Learning: A Verification Framework Based on Client-Side Backdooring	7
Noise-aware Local Model Training Mechanism for Federated Learning	7
AMT-CDR: A Deep Adversarial Multi-Channel Transfer Network for Cross-Domain Recommendation	7
Horizon Forcing: Improving the Recurrent Forecasting of Chaotic Systems	7
An Explore–Exploit Workload-Bounded Strategy for Rare Event Detection in Massive Energy Sensor Time Series	7
Inherent Bias in Electronic Health Records: A Scoping Review of Sources of Bias	7
Survey on Knowledge Distillation for Large Language Models: Methods, Evaluation, and Application	7
Domain Generalization for Activity Recognition via Adaptive Feature Fusion	7
A Spatial and Adversarial Representation Learning Approach for Land Use Classification with POIs	7
Evaluating GPT-4’s Semantic Understanding of Obstetric-based Healthcare Text through Nurse Ruth	7
Transformer-Enhanced Adaptive Graph Convolutional Network for Traffic Flow Prediction	7
Fair and Efficient Ridesharing: A Dynamic Programming-based Relocation Approach	7
No Free Lunch Theorem for Security and Utility in Federated Learning	7
Meaning-Sensitive Text Data Augmentation with Intelligent Masking	7
Break Out of a Pigeonhole: A Unified Framework for Examining Miscalibration, Bias, and Stereotype in Recommender Systems	7
LLM-enhanced Multiple Instance Learning for Joint Rumor and Stance Detection with Social Context Information	7
Edge Manipulations for the Maximum Vertex-Weighted Bipartite b -matching	7
Bayesian Attribute Bagging-Based Extreme Learning Machine for High-Dimensional Classification and Regression	6
EMG-Based Automatic Gesture Recognition Using Lipschitz-Regularized Neural Networks	6
Privacy-preserving Point-of-interest Recommendation based on Simplified Graph Convolutional Network for Geological Traveling	6
Semi-Supervised Crowd Counting via Swin Transformer with Adaptive Soft Threshold and Contrastive Learning	6
CACTUS: A Comprehensive Abstraction and Classification Tool for Uncovering Structures	6
A Review on Source Code Documentation	6
ONION: Online Semantic Autoencoder Hashing for Cross-Modal Retrieval	6
Modeling N-ary Relational Knowledge Bases with Tensor Decomposition	6
Understanding User Preferences in Explainable Artificial Intelligence: A Mapping Function Proposal	6
Highly Efficient Traffic Planning for Autonomous Vehicles to Cross Intersections Without a Stop	6
Overcoming Diverse Undesired Effects in Recommender Systems: A Deontological Approach	6
SubgroupTE: Advancing Treatment Effect Estimation with Subgroup Identification	6
Biomedical Information Retrieval with Positive-Unlabeled Learning and Knowledge Graphs	6
Learning on Missing Tabular Data: Attention with Self-Supervision, Not Imputation, is All You Need	6
FLAME: Self-Supervised Low-Resource Taxonomy Expansion Using Large Language Models	6
A Federated Graph Neural Network with Differential Privacy for Cross-domain Recommender Systems	6
From Representation to Response: Assessing the Alignment of Large Language Models with Human Judgment Patterns	6
Robust Structure-Aware Graph-based Semi-Supervised Learning: Batch and Recursive Processing	6
ReuseKNN: Neighborhood Reuse for Differentially Private KNN-Based Recommendations	6
Fully Linear Graph Convolutional Networks for Semi-Supervised and Unsupervised Classification	6
Special Issue on Responsible Recommender Systems Part 1	6
Unsupervised Graph Representation Learning with Cluster-aware Self-training and Refining	6
MaNIACS : Approximate Mining of Frequent Subgraph Patterns through Sampling	6
Identifying Illicit Drug Dealers on Instagram with Large-scale Multimodal Data Fusion	6
Federated Clique Percolation for Privacy-preserving Overlapping Community Detection	6
INN: An Interpretable Neural Network for AI Incubation in Manufacturing	6
Instant Basketball Defensive Trajectory Generation	6
Graph Contrastive Learning on Multi-label Classification for Recommendations	6
Explainable Product Classification for Customs	6
Learning with Euler Collaborative Representation for Robust Pattern Analysis	5
Efficiency and Performance Optimization in Large Language Models through IB Fine-Tuning	5
Adversarial Learning for Cross Domain Recommendations	5
GCFExplainer: Global Counterfactual Explainer for Graph Neural Networks	5
Knowledge Graph Enhanced Contextualized Attention-Based Network for Responsible User-Specific Recommendation	5
S3-Net: A Fast Scene Understanding Network by Single-Shot Segmentation for Autonomous Driving	5
Predicting Next Useful Location with Context-Awareness: The State-of-the-Art	5
Integrated Image-Text Augmentation for Few-Shot Learning in Vision-Language Models	5
Tapestry of Time and Actions: Modeling Human Activity Sequences Using Temporal Point Process Flows	5
Federated Learning Survey: A Multi-Level Taxonomy of Aggregation Techniques, Experimental Insights, and Future Frontiers	5
A Discriminant Information Theoretic Learning Framework for Multi-modal Feature Representation	5
Empirical and Experimental Insights into Data Mining Techniques for Crime Prediction: A Comprehensive Survey	5
GenFighter: A Generative and Evolutive Textual Attack Removal	5
On Evaluating LLM Integration into Robotic Architectures	5
Few-shot Named Entity Recognition: Definition, Taxonomy and Research Directions	5
Deep Spatio-temporal Adaptive 3D Convolutional Neural Networks for Traffic Flow Prediction	5
Reinforced PU-learning with Hybrid Negative Sampling Strategies for Recommendation	5
DESIGN: Online Device Selection and Edge Association for Federated Synergy Learning-enabled AIoT	5
Can Interpretability of Deep Learning Models Detect Textual Adversarial Distribution?	5
Defending against Poisoning Backdoor Attacks on Federated Meta-learning	5
Adaptive Target-Oriented Tracking	5
Describing UI Screenshots in Natural Language	5
Relation-aware Graph Convolutional Networks for Multi-relational Network Alignment	5
Efficient Federated Matrix Factorization Against Inference Attacks	5
Self-Adaptive Feature Transformation Networks for Object Detection in low luminance Images	5
Help Me Screen: Analyzing and Predicting the Success of Start-ups in Dynamic Venture Capital Networks	4
Neuro-Symbolic Embedding for Short and Effective Feature Selection via Autoregressive Generation	4
DeepExpress: Heterogeneous and Coupled Sequence Modeling for Express Delivery Prediction	4
A GPT-assisted Multi-Granularity Contrastive Learning approach for Knowledge Graph Entity Typing	4
Personalized Fashion Recommendations for Diverse Body Shapes with Contrastive Multimodal Cross-Attention Network	4
Diagnose Like Doctors: Weakly Supervised Fine-Grained Classification of Breast Cancer	4
Learning Cross-modality Interaction for Robust Depth Perception of Autonomous Driving	4
Cognitive Decision Modeling for Quality of Service in Domestic Pipeline Network	4
Race Against the Machine Learning Courses	4
Score-based Graph Learning for Urban Flow Prediction	4
Jointly Optimizing Expressional and Residual Models for 3D Facial Expression Removal	4
Toward Ubiquitous Interaction-Attentive and Extreme-Aware Crowd Activity Level Prediction	4
PARP: A Parallel Traffic Condition Driven Route Planning Model on Dynamic Road Networks	4
Hybrid Prompt Learning for Generating Justifications of Security Risks in Automation Rules	4
Intermediary-Generated Bridge Network for RGB-D Cross-Modal Re-Identification	4
Hire : Hybrid-Modal Interaction with Multiple Relational Enhancements for Image-Text Matching	4
Interpretable Imitation Learning with Symbolic Rewards	4
Local Graph Edge Partitioning	4