ACM Transactions on Intelligent Systems and Technology

Article	Citations
Improving Faithfulness and Factuality with Contrastive Learning in Explainable Recommendation	1119
Robust Learning under Hybrid Noise	434
Introduction to the Special Issue on the Federated Learning: Algorithms, Systems, and Applications: Part 1	340
Hierarchical Pruning of Deep Ensembles with Focal Diversity	225
Popularity Bias in Correlation Graph-based API Recommendation for Mashup Creation	193
Deep Causal Reasoning for Recommendations	110
Second-order Confidence Network for Early Classification of Time Series	96
Prediction for Sensor-Less Locations Using Multi-View Graph Fusion Approach with Approximation Module: A Case Study on Dengue Fever Risk Sensor	92
Privacy Preservation for Trajectory Publication Based on Differential Privacy	90
Steering-by-example for Progressive Visual Analytics	81
Cross-Hierarchical Structure-Detail-Aware Transformer for Single Image Deblurring	79
Modeling the Chaotic Semantic States of Generative Artificial Intelligence (AI): A Quantum Mechanics Analogy Approach	74
Evaluating Large Language Models as Virtual Annotators for Time-series Physical Sensing Data	74
Aspect-Enhanced Explainable Recommendation with Multi-modal Contrastive Learning	70
Discovering Causes of Traffic Congestion via Deep Transfer Clustering	60
Towards a Greener and Fairer Transportation System: A Survey of Route Recommendation Techniques	60
Configure Your Federation: Hierarchical Attention-enhanced Meta-Learning Network for Personalized Federated Learning	56
3D-Guided Frontal Face Generation for Pose-Invariant Recognition	56
Multimodal Dialogue Systems via Capturing Context-aware Dependencies and Ordinal Information of Semantic Elements	53
Towards Predicting Urban Land Use Changes: A Dynamic Graph Alignment Perspective	49
Cost-aware Best Arm Identification in Stochastic Bandits	44
Decentralized Online Learning: Take Benefits from Others’ Data without Sharing Your Own to Track Global Trend	42
Route Optimization via Environment-Aware Deep Network and Reinforcement Learning	38
Counter-Samples: A Stateless Strategy to Neutralize Black Box Adversarial Attacks	36
Prompt-based Masked Language Modeling for Numerical Reasoning	36

VesNet: A Vessel Network for Jointly Learning Route Pattern and Future Trajectory	35
Generating Daily Activities with Need Dynamics	34
AEKG4APT: An AI-Enhanced Knowledge Graph for Advanced Persistent Threats with Large Language Model Analysis	33
Cross-User Federated Recommendation Unlearning	33
How do Large Language Models understand Genes and Cells	32
PRO-MTL : Parameterized Route Optimization using Multi-Task Learning	32
Cross-Region Graph Convolutional Network with Periodicity Shift Adaptation for Wide-Area SST Prediction	31
The Privacy Issue of Counterfactual Explanations: Explanation Linkage Attacks	30
Detecting and Analyzing Collusive Entities on YouTube	30
Reinforcement Learning for Quantitative Trading	30
Introduction to the Special Issue on Intelligent Trajectory Analytics: Part I	29
Auto-weighted Robust Federated Learning with Corrupted Data Sources	29
GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual Reasoning	29
Physics-Based Abnormal Trajectory Gap Detection	28
Joint Structural-Functional Brain Graph Transformer	28
SiG: A Siamese-Based Graph Convolutional Network to Align Knowledge in Autonomous Transportation Systems	28
WC-SBERT: Zero-Shot Topic Classification Using SBERT and Light Self-Training on Wikipedia Categories	27
Relation Constrained Capsule Graph Neural Networks for Non-Rigid Shape Correspondence	27
A Novel Intelligent Video Surveillance System Using Low-Traffic Scene-Preserving Video Anonymization	23
Deep Learning Embedded into Smart Traps for Fruit Insect Pests Detection	23
Adapting to My User, Engaging with My Robot: An Adaptive Affective Architecture for a Social Assistive Robot	23
QATCH: Automatic Evaluation of SQL-Centric Tasks on Proprietary Data	23
What Your Next Check-in Might Look Like: Next Check-in Behavior Prediction	23
Grounding Foundation Models through Federated Transfer Learning: A General Framework	22
Local Edge Dynamics and Opinion Polarization	21
Deep Reinforcement Learning-based Trajectory Pricing on Ride-hailing Platforms	21
Incorporation of Data-Mined Knowledge into Black-Box SVM for Interpretability	21
Ensuring Fairness and Gradient Privacy in Personalized Heterogeneous Federated Learning	21
Federated Learning for Electronic Health Records	20
Unsupervised Outlier Detection with Reinforced Noise Discriminator	19
REMEND: Neural Decompilation for Reverse Engineering Math Equations from Binary Executables	19
Prior Knowledge Constrained Adaptive Graph Framework for Partial Label Learning	19
Hybrid Representation and Decision Fusion towards Visual-textual Sentiment	19
Balancing Cooperation and Competition: Selfish Worker Coalition Formation in Spatial Crowdsourcing	18
Disease Simulation in Airport Scenario Based on Individual Mobility Model	18
The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems	17
Modeling Within-Basket Auxiliary Item Recommendation with Matchability and Ubiquity	17
Demand-driven Urban Facility Visit Prediction	17
Collaborative Local-Global Learning for Temporal Action Proposal	17
Data-driven Targeted Advertising Recommendation System for Outdoor Billboard	17
Shifting Capsule Networks from the Cloud to the Deep Edge	17
Self-supervised Text Style Transfer Using Cycle-Consistent Adversarial Networks	17
Selecting and Composing Learning Rate Policies for Deep Neural Networks	16
FEIR: Quantifying and Reducing Envy and Inferiority for Fair Recommendation of Limited Resources	16
Federated Social Recommendation with Graph Neural Network	16
MetaDetector: Meta Event Knowledge Transfer for Fake News Detection	16
Developing Time Series Forecasting Models with Generative Large Language Models	16
Graph Sequence Neural Network with an Attention Mechanism for Traffic Speed Prediction	15
Gray-Box Shilling Attack: An Adversarial Learning Approach	15
DNSRF: Deep Network-based Semi-NMF Representation Framework	15

Hyper-Laplacian Regularized Multi-View Clustering with Exclusive L21 Regularization and Tensor Log-Determinant Minimization Approach	15
COVID-GAN+: Estimating Human Mobility Responses to COVID-19 through Spatio-temporal Generative Adversarial Networks with Enhanced Features	15
SAug: Structural Imbalance Aware Augmentation for Graph Neural Networks	15
FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction	15
Dual Graph Convolution Architecture Search for Travel Time Estimation	15
Deep Reinforcement Learning for Parameter Tuning of Robot Visual Servoing	15
Reconstructing Turbulent Flows Using Spatio-temporal Physical Dynamics	15
Recommender System-Induced Eating Disorder Relapse: Harmful Content and the Challenges of Responsible Recommendation	14
Deep Learning Inferencing with High-performance Hardware Accelerators	14
POLLA: Enhancing the Local Structure Awareness in Long Sequence Spatial-temporal Modeling	14
BATS: A Spectral Biclustering Approach to Single Document Topic Modeling and Segmentation	14
Crowd Flow Prediction for Irregular Regions with Semantic Graph Attention Network	14
Nationwide Air Pollution Forecasting with Heterogeneous Graph Neural Networks	14
Tucker Decomposition-Enhanced Dynamic Graph Convolutional Networks for Crowd Flows Prediction	14
Internal Rehearsals for a Reconfigurable Robot to Improve Area Coverage Performance	14
Utility-aware and Privacy-preserving Trajectory Synthesis Model that Resists Social Relationship Privacy Attacks	14
Asymmetrical Attention Networks Fused Autoencoder for Debiased Recommendation	14
Exploring the Risky Travel Area and Behavior of Car-hailing Service	13
Neural Topic Modeling via Discrete Variational Inference	13
Predicting Future Locations with Semantic Trajectories	12
Robust Recommender Systems with Rating Flip Noise	12
Probing the Symbolic Logical Reasoning Ability of Large Language Models	12
Fairness and Bias in Algorithmic Hiring: A Multidisciplinary Survey	12
The Evaluation Framework and Benchmark for Large Language Models in the Government Affairs Domain	12
Cascaded Alternating Refinement Transformer for Few-shot Medical Image Segmentation	12
Cost-sensitive Tensor-based Dual-stage Attention LSTM with Feature Selection for Data Center Server Power Forecasting	12
A Survey on Evaluation of Large Language Models	12
Talking-DiSSM: Enhancing Temporal Consistency in Talking Face Video Generation with Bidirectional SSMs	12
Empowering Predictive Modeling by GAN-based Causal Information Learning	11
Significant DBSCAN+: Statistically Robust Density-based Clustering	11
A Comprehensive Approach to On-board Autonomy Verification and Validation	11
Human Pose Transfer with Augmented Disentangled Feature Consistency	11
MHGCN+: Multiplex Heterogeneous Graph Convolutional Network	11
DIRECT: Dual Interpretable Recommendation with Multi-aspect Word Attribution	11
FLEE: A Hierarchical Federated Learning Framework for Distributed Deep Neural Network over Cloud, Edge, and End Device	11
StarFL: Hybrid Federated Learning Architecture for Smart Urban Computing	11
Ranking the Transferability of Adversarial Examples	11
Introduction to the Special Issue on Deep Learning for Spatio-Temporal Data: Part 2	11
MVST: A Multi-View Spatial-Temporal Model for Fine-Grained Crime Prediction	11
Recent Few-shot Object Detection Algorithms: A Survey with Performance Comparison	11
Personalized Learning Path Recommendation with Time-Aware Attention Based Reinforcement Learning	10
Multi-agent Reinforcement Learning-based Adaptive Heterogeneous DAG Scheduling	10
D e ME t RIS: Counting (near)-Cliques by Crawling	10
Performance Evaluation of Aggregation-based Group Recommender Systems for Ephemeral Groups	10
MedNER: Enhanced Named Entity Recognition in Medical Corpus via Optimized Balanced and Deep Active Learning	10
Semi-Synchronous Federated Learning for Energy-Efficient Training and Accelerated Convergence in Cross-Silo Settings	10
Cascade Transformer for Hierarchical Semantic Reasoning in Text-Based Visual Question Answering	10
Adaptive Intention Learning for Session-Based Recommendation	10
Multimodal Spatio-Temporal Prediction with Stochastic Adversarial Networks	10
Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation	10
TreeSketchNet: From Sketch to 3D Tree Parameters Generation	10
Robust Neural Model for Searching over Incomplete Graphs	10
TAML: A Traffic-aware Multi-task Learning Model for Estimating Travel Time	10
Retrieving Continuous-Time Event Sequences Using Neural Temporal Point Processes with Learnable Hashing	10
A Bibliometric Review of Large Language Models Research from 2017 to 2023	10
E 2 Storyline: Visualizing the Relationship with Triplet Entities and Event Discovery	9
A System for Automated Industrial Test Laboratory Scheduling	9
Real-time Road Network Optimization with Coordinated Reinforcement Learning	9
Multivariate Correlation-aware Spatio-temporal Graph Convolutional Networks for Multi-scale Traffic Prediction	9
OptiRet-Net: An Optimized Low-Light Image Enhancement Technique for CV-Based Applications in Resource-Constrained Environments	9
Bayesian Strategy Networks Based Soft Actor-Critic Learning	9
Efficient Federated Learning Using Dynamic Update and Adaptive Pruning with Momentum on Shared Server Data	9
Quintuple-based Representation Learning for Bipartite Heterogeneous Networks	9
Improving Availability of Vertical Federated Learning: Relaxing Inference on Non-overlapping Data	9
CGKPN: Cross-Graph Knowledge Propagation Network with Adaptive Connection for Reasoning-Based Machine Reading Comprehension	9
Detecting Extreme Traffic Events Via a Context Augmented Graph Autoencoder	9
A Unified Framework for Analyzing Textual Context and Intent in Social Media	8
Enriching Responses with Crowd-Sourced Knowledge for Task-Oriented Conversational Agents	8
Federated Learning for Healthcare: Systematic Review and Architecture Proposal	8
Weakly Supervised Video Object Segmentation via Dual-attention Cross-branch Fusion	8
Question-Attentive Review-Level Explanation for Neural Rating Regression	8
RCCNet: A Spatial-Temporal Neural Network Model for Logistics Delivery Timely Rate Prediction	8
CLC: A Consensus-based Label Correction Approach in Federated Learning	8
A Survey on Graph Representation Learning Methods	8
A Holistic Approach for Role Inference and Action Anticipation in Human Teams	8
JASRNet: Learning Joint Adaptive Sampling and Reconstruction for Depth Sensing	8
GPT-4V(ision) as A Social Media Analysis Engine	8
Optimal Treatment Strategies for Critical Patients with Deep Reinforcement Learning	8
Qrowdsmith: Enhancing Paid Microtask Crowdsourcing with Gamification and Furtherance Incentives	8
Beyond Text: Multimodal Credibility Assessment Approaches for Online User-Generated Content	8

Enhancing Aspect Sentiment Classification with Dual-Channel Graph Convolutional Network	8
Explaining Neural News Recommendation with Attributions onto Reading Histories	8
Noise-aware Local Model Training Mechanism for Federated Learning	7
Adversarial Attacks on Deep Reinforcement Learning-based Traffic Signal Control Systems with Colluding Vehicles	7
Meaning-Sensitive Text Data Augmentation with Intelligent Masking	7
Fair and Efficient Ridesharing: A Dynamic Programming-based Relocation Approach	7
Bayesian Attribute Bagging-Based Extreme Learning Machine for High-Dimensional Classification and Regression	7
Domain Generalization for Activity Recognition via Adaptive Feature Fusion	7
DDNAS: Discretized Differentiable Neural Architecture Search for Text Classification	7
HiGRN: A Hierarchical Graph Recurrent Network for Global Sea Surface Temperature Prediction	7
AMT-CDR: A Deep Adversarial Multi-Channel Transfer Network for Cross-Domain Recommendation	7
Edge Manipulations for the Maximum Vertex-Weighted Bipartite b -matching	7
No Free Lunch Theorem for Security and Utility in Federated Learning	7
Break Out of a Pigeonhole: A Unified Framework for Examining Miscalibration, Bias, and Stereotype in Recommender Systems	7
Supply-Demand-aware Deep Reinforcement Learning for Dynamic Fleet Management	7
A Spatial and Adversarial Representation Learning Approach for Land Use Classification with POIs	7
Survey on Knowledge Distillation for Large Language Models: Methods, Evaluation, and Application	7
An Explore–Exploit Workload-Bounded Strategy for Rare Event Detection in Massive Energy Sensor Time Series	7
Watermarking in Secure Federated Learning: A Verification Framework Based on Client-Side Backdooring	7
LLM-enhanced Multiple Instance Learning for Joint Rumor and Stance Detection with Social Context Information	6
Transformer-Enhanced Adaptive Graph Convolutional Network for Traffic Flow Prediction	6
Understanding User Preferences in Explainable Artificial Intelligence: A Mapping Function Proposal	6
INN: An Interpretable Neural Network for AI Incubation in Manufacturing	6
Unsupervised Graph Representation Learning with Cluster-aware Self-training and Refining	6
Identifying Illicit Drug Dealers on Instagram with Large-scale Multimodal Data Fusion	6
Overcoming Diverse Undesired Effects in Recommender Systems: A Deontological Approach	6
A Review on Source Code Documentation	6
Modeling N-ary Relational Knowledge Bases with Tensor Decomposition	6
Fully Linear Graph Convolutional Networks for Semi-Supervised and Unsupervised Classification	6
Explainable Product Classification for Customs	6
Horizon Forcing: Improving the Recurrent Forecasting of Chaotic Systems	6
From Representation to Response: Assessing the Alignment of Large Language Models with Human Judgment Patterns	6
ReuseKNN: Neighborhood Reuse for Differentially Private KNN-Based Recommendations	6
Semi-Supervised Crowd Counting via Swin Transformer with Adaptive Soft Threshold and Contrastive Learning	6
FLAME: Self-Supervised Low-Resource Taxonomy Expansion Using Large Language Models	6
Special Issue on Responsible Recommender Systems Part 1	6
Robust Structure-Aware Graph-based Semi-Supervised Learning: Batch and Recursive Processing	6
Instant Basketball Defensive Trajectory Generation	6
Graph Contrastive Learning on Multi-label Classification for Recommendations	6
CACTUS: A Comprehensive Abstraction and Classification Tool for Uncovering Structures	6
Evaluating GPT-4’s Semantic Understanding of Obstetric-based Healthcare Text through Nurse Ruth	6
A Federated Graph Neural Network with Differential Privacy for Cross-domain Recommender Systems	6
Biomedical Information Retrieval with Positive-Unlabeled Learning and Knowledge Graphs	6
MaNIACS : Approximate Mining of Frequent Subgraph Patterns through Sampling	6
Learning on Missing Tabular Data: Attention with Self-Supervision, Not Imputation, is All You Need	6
Privacy-preserving Point-of-interest Recommendation based on Simplified Graph Convolutional Network for Geological Traveling	6
Federated Clique Percolation for Privacy-preserving Overlapping Community Detection	6
ONION: Online Semantic Autoencoder Hashing for Cross-Modal Retrieval	6
Highly Efficient Traffic Planning for Autonomous Vehicles to Cross Intersections Without a Stop	6
Predicting Next Useful Location With Context-Awareness: The State-Of-The-Art	5
Few-shot Named Entity Recognition: Definition, Taxonomy and Research Directions	5
Tapestry of Time and Actions: Modeling Human Activity Sequences Using Temporal Point Process Flows	5
Efficiency and Performance Optimization in Large Language Models through IB Fine-Tuning	5
DESIGN: Online Device Selection and Edge Association for Federated Synergy Learning-enabled AIoT	5
GenFighter: A Generative and Evolutive Textual Attack Removal	5
Federated Learning Survey: A Multi-Level Taxonomy of Aggregation Techniques, Experimental Insights, and Future Frontiers	5
Defending against Poisoning Backdoor Attacks on Federated Meta-learning	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
Integrated Image-Text Augmentation for Few-Shot Learning in Vision-Language Models	5
Self-Adaptive Feature Transformation Networks for Object Detection in low luminance Images	5
Can Interpretability of Deep Learning Models Detect Textual Adversarial Distribution?	5
Mining Customers’ Changeable Electricity Consumption for Effective Load Forecasting	5
Describing UI Screenshots in Natural Language	5
Efficient Federated Matrix Factorization Against Inference Attacks	5
Learning with Euler Collaborative Representation for Robust Pattern Analysis	5
EMG-Based Automatic Gesture Recognition Using Lipschitz-Regularized Neural Networks	5
SubgroupTE: Advancing Treatment Effect Estimation with Subgroup Identification	5
S3-Net: A Fast Scene Understanding Network by Single-Shot Segmentation for Autonomous Driving	5
Knowledge Graph Enhanced Contextualized Attention-Based Network for Responsible User-Specific Recommendation	5
Empirical and Experimental Insights into Data Mining Techniques for Crime Prediction: A Comprehensive Survey	5
Learning Cross-modality Interaction for Robust Depth Perception of Autonomous Driving	4
An Efficient Learning Framework for Federated XGBoost Using Secret Sharing and Distributed Optimization	4
Adaptive Target-Oriented Tracking	4
Performing Cancer Diagnosis via an Isoform Expression Ranking-based LSTM Model	4
Score-based Graph Learning for Urban Flow Prediction	4
Jointly Optimizing Expressional and Residual Models for 3D Facial Expression Removal	4
Faithful and Consistent Graph Neural Network Explanations with Rationale Alignment	4
Toward Ubiquitous Interaction-Attentive and Extreme-Aware Crowd Activity Level Prediction	4
Graph Neural Networks: Taxonomy, Advances, and Trends	4
Nova : Value-based Negotiation of Norms	4
GCFExplainer: Global Counterfactual Explainer for Graph Neural Networks	4
Relation-aware Graph Convolutional Networks for Multi-relational Network Alignment	4
Hire : Hybrid-Modal Interaction with Multiple Relational Enhancements for Image-Text Matching	4
Diagnose Like Doctors: Weakly Supervised Fine-Grained Classification of Breast Cancer	4
Ensemble Active Learning by Contextual Bandits for AI Incubation in Manufacturing	4
Local Graph Edge Partitioning	4
Personalized Fashion Recommendations for Diverse Body Shapes with Contrastive Multimodal Cross-Attention Network	4
Adversarial Learning for Cross Domain Recommendations	4
HydraGAN: A Cooperative Agent Model for Multi-Objective Data Generation	4
Towards AI-Assisted Inclusive Language Writing in Italian Formal Communications	4
AggEnhance: Aggregation Enhancement by Class Interior Points in Federated Learning with Non-IID Data	4
Interpretable Imitation Learning with Symbolic Rewards	4
CAFE and SOUP: Toward Adaptive VDI Workload Prediction	4
Guidelines for the Regularization of Gammas in Batch Normalization for Deep Residual Networks	4