ACM Transactions on Intelligent Systems and Technology

Article	Citations
Hierarchical Pruning of Deep Ensembles with Focal Diversity	1637
Introduction to the Special Issue on the Federated Learning: Algorithms, Systems, and Applications: Part 1	413
Popularity Bias in Correlation Graph-based API Recommendation for Mashup Creation	317
Prediction for Sensor-Less Locations Using Multi-View Graph Fusion Approach with Approximation Module: A Case Study on Dengue Fever Risk Sensor	259
Robust Learning under Hybrid Noise	154
Improving Faithfulness and Factuality with Contrastive Learning in Explainable Recommendation	136
Steering-by-example for Progressive Visual Analytics	128
Modeling the Chaotic Semantic States of Generative Artificial Intelligence (AI): A Quantum Mechanics Analogy Approach	125
Spectraformer: A Unified Random Feature Framework for Transformer	110
Patch-Level Contrastive Learning for Improved Time Series Classification with Gramian Angular Field	97
Second-order Confidence Network for Early Classification of Time Series	95
Privacy Preservation for Trajectory Publication Based on Differential Privacy	91
Cross-Hierarchical Structure-Detail-Aware Transformer for Single Image Deblurring	89
Deep Causal Reasoning for Recommendations	85
Towards Predicting Urban Land Use Changes: A Dynamic Graph Alignment Perspective	71
Evaluating Large Language Models as Virtual Annotators for Time-Series Physical Sensing Data	71
Cost-aware Best Arm Identification in Stochastic Bandits	70
Decentralized Online Learning: Take Benefits from Others’ Data without Sharing Your Own to Track Global Trend	67
Multimodal Dialogue Systems via Capturing Context-aware Dependencies and Ordinal Information of Semantic Elements	58
Counter-Samples: A Stateless Strategy to Neutralize Black-Box Adversarial Attacks	56
Prompt-based Masked Language Modeling for Numerical Reasoning	50
3D-Guided Frontal Face Generation for Pose-Invariant Recognition	47
Discovering Causes of Traffic Congestion via Deep Transfer Clustering	46
Graph Stochastic Neural Process for Inductive Few-shot Knowledge Graph Completion	43
Corrigendum: An Unbiased Risk Estimator for Partial Label Learning with Augmented Classes	42

Towards a Greener and Fairer Transportation System: A Survey of Route Recommendation Techniques	40
Route Optimization via Environment-Aware Deep Network and Reinforcement Learning	38
Aspect-Enhanced Explainable Recommendation with Multi-modal Contrastive Learning	38
Configure Your Federation: Hierarchical Attention-enhanced Meta-Learning Network for Personalized Federated Learning	37
PRO-MTL : Parameterized Route Optimization using Multi-Task Learning	37
Fusing Cross-Domain Knowledge from Multimodal Data to Solve Problems in the Physical World	37
AEKG4APT: An AI-Enhanced Knowledge Graph for Advanced Persistent Threats with Large Language Model Analysis	36
Cross-User Federated Recommendation Unlearning	36
Cross-Region Graph Convolutional Network with Periodicity Shift Adaptation for Wide-Area SST Prediction	36
Reinforcement Learning for Quantitative Trading	35
VesNet: A Vessel Network for Jointly Learning Route Pattern and Future Trajectory	34
How Do Large Language Models Understand Genes and Cells	34
Generating Daily Activities with Need Dynamics	34
Relation Constrained Capsule Graph Neural Networks for Non-Rigid Shape Correspondence	33
Introduction to the Special Issue on Intelligent Trajectory Analytics: Part I	31
A Novel Intelligent Video Surveillance System Using Low-Traffic Scene-Preserving Video Anonymization	31
WC-SBERT: Zero-Shot Topic Classification Using SBERT and Light Self-Training on Wikipedia Categories	30
QATCH: Automatic Evaluation of SQL-Centric Tasks on Proprietary Data	30
SiG: A Siamese-Based Graph Convolutional Network to Align Knowledge in Autonomous Transportation Systems	28
Local Edge Dynamics and Opinion Polarization	28
Ensuring Fairness and Gradient Privacy in Personalized Heterogeneous Federated Learning	27
Grounding Foundation Models through Federated Transfer Learning: A General Framework	27
What Your Next Check-in Might Look Like: Next Check-in Behavior Prediction	26
Deep Reinforcement Learning-based Trajectory Pricing on Ride-hailing Platforms	25
Incorporation of Data-Mined Knowledge into Black-Box SVM for Interpretability	25
The Privacy Issue of Counterfactual Explanations: Explanation Linkage Attacks	24
Adapting to My User, Engaging with My Robot: An Adaptive Affective Architecture for a Social Assistive Robot	24
Auto-weighted Robust Federated Learning with Corrupted Data Sources	24
Joint Structural-Functional Brain Graph Transformer	23
The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems	23
Federated Learning for Electronic Health Records	23
Physics-Based Abnormal Trajectory Gap Detection	23
GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual Reasoning	23
Deep Learning Embedded into Smart Traps for Fruit Insect Pests Detection	23
Self-supervised Text Style Transfer Using Cycle-Consistent Adversarial Networks	22
Demand-driven Urban Facility Visit Prediction	21
REMEND: Neural Decompilation for Reverse Engineering Math Equations from Binary Executables	21
Unsupervised Outlier Detection with Reinforced Noise Discriminator	21
Modeling Within-Basket Auxiliary Item Recommendation with Matchability and Ubiquity	21
Fighting Misinformation in Health News: DCNN-CapsNet for Cross-Domain Health Misinformation Detection	20
Balancing Cooperation and Competition: Selfish Worker Coalition Formation in Spatial Crowdsourcing	20
Disease Simulation in Airport Scenario Based on Individual Mobility Model	20
Federated Social Recommendation with Graph Neural Network	19
Urban Computing in the Era of Large Language Models	19
Shifting Capsule Networks from the Cloud to the Deep Edge	19
Hybrid Representation and Decision Fusion towards Visual-textual Sentiment	19
Data-driven Targeted Advertising Recommendation System for Outdoor Billboard	19
Prior Knowledge Constrained Adaptive Graph Framework for Partial Label Learning	19
Developing Time Series Forecasting Models with Generative Large Language Models	19
ROIS: Role-Based Multi-Agent Collaboration by Context-Time-Aware Information Sharing	18

Deep Reinforcement Learning for Parameter Tuning of Robot Visual Servoing	18
A Comprehensive Survey on Multi-View Classification: Methods, Applications, and Challenges	17
FEIR: Quantifying and Reducing Envy and Inferiority for Fair Recommendation of Limited Resources	17
FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction	17
SAug: Structural Imbalance Aware Augmentation for Graph Neural Networks	17
DNSRF: Deep Network-based Semi-NMF Representation Framework	17
Reconstructing Turbulent Flows Using Spatio-temporal Physical Dynamics	17
MetaDetector: Meta Event Knowledge Transfer for Fake News Detection	16
COVID-GAN+: Estimating Human Mobility Responses to COVID-19 through Spatio-temporal Generative Adversarial Networks with Enhanced Features	16
Gray-Box Shilling Attack: An Adversarial Learning Approach	16
Survey of Action Recognition, Spotting and Spatio-Temporal Localization in Soccer - Current Trends and Research Perspectives	16
Hyper-Laplacian Regularized Multi-View Clustering with Exclusive L21 Regularization and Tensor Log-Determinant Minimization Approach	16
Selecting and Composing Learning Rate Policies for Deep Neural Networks	16
Neural Topic Modeling via Discrete Variational Inference	15
Adversarial Face Database against Deep Learning-Enabled Reconstruction Attacks	15
Exploring the Risky Travel Area and Behavior of Car-hailing Service	15
Graph Sequence Neural Network with an Attention Mechanism for Traffic Speed Prediction	15
Dual Graph Convolution Architecture Search for Travel Time Estimation	15
Matching Accounts on Blockchain via Pseudo Fine-tuning of Language Models	15
Asymmetrical Attention Networks Fused Autoencoder for Debiased Recommendation	14
Utility-aware and Privacy-preserving Trajectory Synthesis Model that Resists Social Relationship Privacy Attacks	14
Internal Rehearsals for a Reconfigurable Robot to Improve Area Coverage Performance	14
Predicting Future Locations with Semantic Trajectories	14
The Evaluation Framework and Benchmark for Large Language Models in the Government Affairs Domain	13
Cost-sensitive Tensor-based Dual-stage Attention LSTM with Feature Selection for Data Center Server Power Forecasting	13
Fairness and Bias in Algorithmic Hiring: A Multidisciplinary Survey	13
Tucker Decomposition-Enhanced Dynamic Graph Convolutional Networks for Crowd Flows Prediction	13
Deep Learning Inferencing with High-performance Hardware Accelerators	13
Query Performance Prediction Using Neural Query Space Proximity	13
On Developing Explainable AI Evaluation Metrics for Image Classification using Borda Count and Multiple Correlation Techniques	13
Crowd Flow Prediction for Irregular Regions with Semantic Graph Attention Network	13
Nationwide Air Pollution Forecasting with Heterogeneous Graph Neural Networks	13
Recommender System-Induced Eating Disorder Relapse: Harmful Content and the Challenges of Responsible Recommendation	13
Ranking the Transferability of Adversarial Examples	12
A Survey on Evaluation of Large Language Models	12
Probing the Symbolic Logical Reasoning Ability of Large Language Models	12
Cascaded Alternating Refinement Transformer for Few-shot Medical Image Segmentation	12
Talking-DiSSM: Enhancing Temporal Consistency in Talking Face Video Generation with Bidirectional SSMs	12
Introduction to the Special Issue on Deep Learning for Spatio-Temporal Data: Part 2	12
Empowering Predictive Modeling by GAN-based Causal Information Learning	12
Robust Recommender Systems with Rating Flip Noise	12
Learning to Hash Knowledge Graph: Element-wise Rotation	12
Human Pose Transfer with Augmented Disentangled Feature Consistency	12
FLEE: A Hierarchical Federated Learning Framework for Distributed Deep Neural Network over Cloud, Edge, and End Device	12
DIRECT: Dual Interpretable Recommendation with Multi-aspect Word Attribution	12
Personalized Learning Path Recommendation with Time-Aware Attention-Based Reinforcement Learning	11
DeMEtRIS: Counting (near)-Cliques by Crawling	11
Recent Few-shot Object Detection Algorithms: A Survey with Performance Comparison	11
Robust Neural Model for Searching over Incomplete Graphs	11
MVST: A Multi-View Spatial-Temporal Model for Fine-Grained Crime Prediction	11
TreeSketchNet: From Sketch to 3D Tree Parameters Generation	11
Semi-Synchronous Federated Learning for Energy-Efficient Training and Accelerated Convergence in Cross-Silo Settings	11
Cascade Transformer for Hierarchical Semantic Reasoning in Text-Based Visual Question Answering	11
MHGCN+: Multiplex Heterogeneous Graph Convolutional Network	11
Multi-agent Reinforcement Learning-based Adaptive Heterogeneous DAG Scheduling	11
Transformer Model Embedding Dual Stream for Modulation Classification of Short Signal Samples	11
A Bibliometric Review of Large Language Models Research from 2017 to 2023	10
A System for Automated Industrial Test Laboratory Scheduling	10
Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation	10
Detecting Extreme Traffic Events Via a Context Augmented Graph Autoencoder	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
OptiRet-Net: An Optimized Low-Light Image Enhancement Technique for CV-Based Applications in Resource-Constrained Environments	10
MedNER: Enhanced Named Entity Recognition in Medical Corpus via Optimized Balanced and Deep Active Learning	10
Adaptive Intention Learning for Session-Based Recommendation	10
TAML: A Traffic-aware Multi-task Learning Model for Estimating Travel Time	10
E 2 Storyline: Visualizing the Relationship with Triplet Entities and Event Discovery	10
Quintuple-based Representation Learning for Bipartite Heterogeneous Networks	10
Improving Availability of Vertical Federated Learning: Relaxing Inference on Non-overlapping Data	9
Bayesian Strategy Networks Based Soft Actor-Critic Learning	9
RenHaze: A Coarse-to-Fine Rendering Framework for Improving Robustness to Haze	9
A Survey on Automatic Credibility Assessment Using Textual Credibility Signals in the Era of Large Language Models	9
Qrowdsmith: Enhancing Paid Microtask Crowdsourcing with Gamification and Furtherance Incentives	9
Efficient Federated Learning Using Dynamic Update and Adaptive Pruning with Momentum on Shared Server Data	9
Multimodal Spatio-Temporal Prediction with Stochastic Adversarial Networks	9
Federated Learning for Healthcare: Systematic Review and Architecture Proposal	9
Real-time Road Network Optimization with Coordinated Reinforcement Learning	9
CGKPN: Cross-Graph Knowledge Propagation Network with Adaptive Connection for Reasoning-Based Machine Reading Comprehension	9
Multivariate Correlation-aware Spatio-temporal Graph Convolutional Networks for Multi-scale Traffic Prediction	9
Beyond Text: Multimodal Credibility Assessment Approaches for Online User-Generated Content	9

Adversarial Attacks on Deep Reinforcement Learning-based Traffic Signal Control Systems with Colluding Vehicles	8
Enriching Responses with Crowd-Sourced Knowledge for Task-Oriented Conversational Agents	8
A Spatial and Adversarial Representation Learning Approach for Land Use Classification with POIs	8
CLC: A Consensus-based Label Correction Approach in Federated Learning	8
Enhancing Aspect Sentiment Classification with Dual-Channel Graph Convolutional Network	8
GPT-4V(ision) as A Social Media Analysis Engine	8
Question-Attentive Review-Level Explanation for Neural Rating Regression	8
Weakly Supervised Video Object Segmentation via Dual-attention Cross-branch Fusion	8
LLM-Enhanced User–Item Interactions: Leveraging Edge Information for Optimized Recommendations	8
A Survey on Graph Representation Learning Methods	8
JASRNet: Learning Joint Adaptive Sampling and Reconstruction for Depth Sensing	8
DDNAS: Discretized Differentiable Neural Architecture Search for Text Classification	8
Supply-Demand-aware Deep Reinforcement Learning for Dynamic Fleet Management	8
Survey on Knowledge Distillation for Large Language Models: Methods, Evaluation, and Application	7
A Holistic Approach for Role Inference and Action Anticipation in Human Teams	7
RCCNet: A Spatial-Temporal Neural Network Model for Logistics Delivery Timely Rate Prediction	7
Advances in Pre-trained Language Models for Domain-Specific Text Classification: A Systematic Review	7
LLM-enhanced Multiple Instance Learning for Joint Rumor and Stance Detection with Social Context Information	7
Domain Generalization for Activity Recognition via Adaptive Feature Fusion	7
An Explore–Exploit Workload-Bounded Strategy for Rare Event Detection in Massive Energy Sensor Time Series	7
Break Out of a Pigeonhole: A Unified Framework for Examining Miscalibration, Bias, and Stereotype in Recommender Systems	7
AMT-CDR: A Deep Adversarial Multi-Channel Transfer Network for Cross-Domain Recommendation	7
HiGRN: A Hierarchical Graph Recurrent Network for Global Sea Surface Temperature Prediction	7
A Structure-Aware Fair Recommendation Approach Based on Counterfactual Dynamic Hypergraphs	7
Optimal Treatment Strategies for Critical Patients with Deep Reinforcement Learning	7
Explainable Product Classification for Customs	7
Edge Manipulations for the Maximum Vertex-Weighted Bipartite b -matching	7
Meaning-Sensitive Text Data Augmentation with Intelligent Masking	7
Explaining Neural News Recommendation with Attributions onto Reading Histories	7
A Unified Framework for Analyzing Textual Context and Intent in Social Media	7
Bayesian Attribute Bagging-Based Extreme Learning Machine for High-Dimensional Classification and Regression	7
Fair and Efficient Ridesharing: A Dynamic Programming-based Relocation Approach	7
Transformer-Enhanced Adaptive Graph Convolutional Network for Traffic Flow Prediction	7
Noise-aware Local Model Training Mechanism for Federated Learning	7
Horizon Forcing: Improving the Recurrent Forecasting of Chaotic Systems	7
Evaluating GPT-4’s Semantic Understanding of Obstetric-based Healthcare Text through Nurse Ruth	7
Modeling N-ary Relational Knowledge Bases with Tensor Decomposition	6
Instant Basketball Defensive Trajectory Generation	6
Watermarking in Secure Federated Learning: A Verification Framework Based on Client-Side Backdooring	6
Graph Contrastive Learning on Multi-label Classification for Recommendations	6
Introduction to the Special Issue on Evaluations of Large Language Models: Part 1	6
Fully Linear Graph Convolutional Networks for Semi-Supervised and Unsupervised Classification	6
Semi-Supervised Crowd Counting via Swin Transformer with Adaptive Soft Threshold and Contrastive Learning	6
ReuseKNN: Neighborhood Reuse for Differentially Private KNN-Based Recommendations	6
Robust Structure-Aware Graph-based Semi-Supervised Learning: Batch and Recursive Processing	6
A Review on Source Code Documentation	6
Inherent Bias in Electronic Health Records: A Scoping Review of Sources of Bias	6
Special Issue on Responsible Recommender Systems Part 1	6
ONION: Online Semantic Autoencoder Hashing for Cross-Modal Retrieval	6
Overcoming Diverse Undesired Effects in Recommender Systems: A Deontological Approach	6
FLAME: Self-Supervised Low-Resource Taxonomy Expansion Using Large Language Models	6
Highly Efficient Traffic Planning for Autonomous Vehicles to Cross Intersections Without a Stop	6
A Federated Graph Neural Network with Differential Privacy for Cross-domain Recommender Systems	6
No Free Lunch Theorem for Security and Utility in Federated Learning	6
INN: An Interpretable Neural Network for AI Incubation in Manufacturing	6
Understanding User Preferences in Explainable Artificial Intelligence: A Mapping Function Proposal	6
Learning on Missing Tabular Data: Attention with Self-Supervision, Not Imputation, is All You Need	6
CACTUS: A Comprehensive Abstraction and Classification Tool for Uncovering Structures	6
From Representation to Response: Assessing the Alignment of Large Language Models with Human Judgment Patterns	6
Adversarial Learning for Cross Domain Recommendations	5
DESIGN: Online Device Selection and Edge Association for Federated Synergy Learning-enabled AIoT	5
Defending against Poisoning Backdoor Attacks on Federated Meta-learning	5
Learning with Euler Collaborative Representation for Robust Pattern Analysis	5
Efficiency and Performance Optimization in Large Language Models through IB Fine-Tuning	5
Unsupervised Graph Representation Learning with Cluster-aware Self-training and Refining	5
FedPRS: A Privacy-preserving Representation Synthesis Framework for Federated Contribution Evaluation	5
Predicting Next Useful Location with Context-Awareness: The State-of-the-Art	5
Reinforcement Learning for Server-Aware Offloading in Multi-Tier Multi-Instance Computing Architecture	5
Few-shot Named Entity Recognition: Definition, Taxonomy and Research Directions	5
GenFighter: A Generative and Evolutive Textual Attack Removal	5
Similarity Search with Data Missing	5
Can Interpretability of Deep Learning Models Detect Textual Adversarial Distribution?	5
Integrated Image-Text Augmentation for Few-Shot Learning in Vision-Language Models	5
Reinforced PU-learning with Hybrid Negative Sampling Strategies for Recommendation	5
Privacy-preserving Point-of-interest Recommendation based on Simplified Graph Convolutional Network for Geological Traveling	5
Federated Clique Percolation for Privacy-preserving Overlapping Community Detection	5
SubgroupTE: Advancing Treatment Effect Estimation with Subgroup Identification	5
Deep Spatio-temporal Adaptive 3D Convolutional Neural Networks for Traffic Flow Prediction	5
Describing UI Screenshots in Natural Language	5
GCFExplainer: Global Counterfactual Explainer for Graph Neural Networks	5
On Evaluating LLM Integration into Robotic Architectures	5
MaNIACS : Approximate Mining of Frequent Subgraph Patterns through Sampling	5
Tapestry of Time and Actions: Modeling Human Activity Sequences Using Temporal Point Process Flows	5
Self-Adaptive Feature Transformation Networks for Object Detection in low luminance Images	5
EMG-Based Automatic Gesture Recognition Using Lipschitz-Regularized Neural Networks	5
Biomedical Information Retrieval with Positive-Unlabeled Learning and Knowledge Graphs	5
Efficient Federated Matrix Factorization Against Inference Attacks	5
Relation-aware Graph Convolutional Networks for Multi-relational Network Alignment	5
Adaptive Target-Oriented Tracking	5
A Survey of Trustworthy Federated Learning: Issues, Solutions, and Challenges	4
Similar Trajectory Search with Spatio-Temporal Deep Representation Learning	4
Toward Ubiquitous Interaction-Attentive and Extreme-Aware Crowd Activity Level Prediction	4
Help Me Screen: Analyzing and Predicting the Success of Start-ups in Dynamic Venture Capital Networks	4
Graph Neural Networks: Taxonomy, Advances, and Trends	4
An Efficient Learning Framework for Federated XGBoost Using Secret Sharing and Distributed Optimization	4