ACM Transactions on Intelligent Systems and Technology

Article	Citations
Hierarchical Pruning of Deep Ensembles with Focal Diversity	1504
Introduction to the Special Issue on the Federated Learning: Algorithms, Systems, and Applications: Part 1	394
Popularity Bias in Correlation Graph-based API Recommendation for Mashup Creation	280
Prediction for Sensor-Less Locations Using Multi-View Graph Fusion Approach with Approximation Module: A Case Study on Dengue Fever Risk Sensor	253
Robust Learning under Hybrid Noise	129
Improving Faithfulness and Factuality with Contrastive Learning in Explainable Recommendation	119
Modeling the Chaotic Semantic States of Generative Artificial Intelligence (AI): A Quantum Mechanics Analogy Approach	117
Steering-by-example for Progressive Visual Analytics	113
Cross-Hierarchical Structure-Detail-Aware Transformer for Single Image Deblurring	108
Evaluating Large Language Models as Virtual Annotators for Time-series Physical Sensing Data	92
Deep Causal Reasoning for Recommendations	88
Spectraformer: A Unified Random Feature Framework for Transformer	88
Privacy Preservation for Trajectory Publication Based on Differential Privacy	85
Second-order Confidence Network for Early Classification of Time Series	84
Fusing Cross-Domain Knowledge from Multimodal Data to Solve Problems in the Physical World	69
Cost-aware Best Arm Identification in Stochastic Bandits	66
Towards Predicting Urban Land Use Changes: A Dynamic Graph Alignment Perspective	66
Decentralized Online Learning: Take Benefits from Others’ Data without Sharing Your Own to Track Global Trend	65
Multimodal Dialogue Systems via Capturing Context-aware Dependencies and Ordinal Information of Semantic Elements	63
Counter-Samples: A Stateless Strategy to Neutralize Black-Box Adversarial Attacks	54
Prompt-based Masked Language Modeling for Numerical Reasoning	53
3D-Guided Frontal Face Generation for Pose-Invariant Recognition	50
Discovering Causes of Traffic Congestion via Deep Transfer Clustering	47
Configure Your Federation: Hierarchical Attention-enhanced Meta-Learning Network for Personalized Federated Learning	43
Aspect-Enhanced Explainable Recommendation with Multi-modal Contrastive Learning	39

Towards a Greener and Fairer Transportation System: A Survey of Route Recommendation Techniques	37
Route Optimization via Environment-Aware Deep Network and Reinforcement Learning	37
PRO-MTL : Parameterized Route Optimization using Multi-Task Learning	36
Cross-Region Graph Convolutional Network with Periodicity Shift Adaptation for Wide-Area SST Prediction	36
Corrigendum: An Unbiased Risk Estimator for Partial Label Learning with Augmented Classes	36
Cross-User Federated Recommendation Unlearning	35
VesNet: A Vessel Network for Jointly Learning Route Pattern and Future Trajectory	34
AEKG4APT: An AI-Enhanced Knowledge Graph for Advanced Persistent Threats with Large Language Model Analysis	33
Generating Daily Activities with Need Dynamics	33
How do Large Language Models understand Genes and Cells	33
Relation Constrained Capsule Graph Neural Networks for Non-Rigid Shape Correspondence	32
Reinforcement Learning for Quantitative Trading	32
GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual Reasoning	31
A Novel Intelligent Video Surveillance System Using Low-Traffic Scene-Preserving Video Anonymization	31
Introduction to the Special Issue on Intelligent Trajectory Analytics: Part I	31
QATCH: Automatic Evaluation of SQL-Centric Tasks on Proprietary Data	31
WC-SBERT: Zero-Shot Topic Classification Using SBERT and Light Self-Training on Wikipedia Categories	30
Adapting to My User, Engaging with My Robot: An Adaptive Affective Architecture for a Social Assistive Robot	30
Physics-Based Abnormal Trajectory Gap Detection	28
Incorporation of Data-Mined Knowledge into Black-Box SVM for Interpretability	27
Local Edge Dynamics and Opinion Polarization	26
Deep Learning Embedded into Smart Traps for Fruit Insect Pests Detection	26
SiG: A Siamese-Based Graph Convolutional Network to Align Knowledge in Autonomous Transportation Systems	26
What Your Next Check-in Might Look Like: Next Check-in Behavior Prediction	24
Deep Reinforcement Learning-based Trajectory Pricing on Ride-hailing Platforms	23
Grounding Foundation Models through Federated Transfer Learning: A General Framework	23
Joint Structural-Functional Brain Graph Transformer	23
Auto-weighted Robust Federated Learning with Corrupted Data Sources	23
Ensuring Fairness and Gradient Privacy in Personalized Heterogeneous Federated Learning	23
Federated Learning for Electronic Health Records	22
The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems	22
The Privacy Issue of Counterfactual Explanations: Explanation Linkage Attacks	22
Unsupervised Outlier Detection with Reinforced Noise Discriminator	22
Demand-driven Urban Facility Visit Prediction	21
Developing Time Series Forecasting Models with Generative Large Language Models	20
Self-supervised Text Style Transfer Using Cycle-Consistent Adversarial Networks	20
REMEND: Neural Decompilation for Reverse Engineering Math Equations from Binary Executables	20
Modeling Within-Basket Auxiliary Item Recommendation with Matchability and Ubiquity	19
Disease Simulation in Airport Scenario Based on Individual Mobility Model	19
Prior Knowledge Constrained Adaptive Graph Framework for Partial Label Learning	19
Balancing Cooperation and Competition: Selfish Worker Coalition Formation in Spatial Crowdsourcing	19
Hybrid Representation and Decision Fusion towards Visual-textual Sentiment	19
Data-driven Targeted Advertising Recommendation System for Outdoor Billboard	19
Fighting Misinformation in Health News: DCNN-CapsNet for Cross-Domain Health Misinformation Detection	19
Shifting Capsule Networks from the Cloud to the Deep Edge	19
Gray-Box Shilling Attack: An Adversarial Learning Approach	18
FEIR: Quantifying and Reducing Envy and Inferiority for Fair Recommendation of Limited Resources	18
Urban Computing in the Era of Large Language Models	18
SAug: Structural Imbalance Aware Augmentation for Graph Neural Networks	18
Federated Social Recommendation with Graph Neural Network	18

MetaDetector: Meta Event Knowledge Transfer for Fake News Detection	17
Reconstructing Turbulent Flows Using Spatio-temporal Physical Dynamics	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	17
Hyper-Laplacian Regularized Multi-View Clustering with Exclusive L21 Regularization and Tensor Log-Determinant Minimization Approach	17
Dual Graph Convolution Architecture Search for Travel Time Estimation	17
FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction	17
DNSRF: Deep Network-based Semi-NMF Representation Framework	17
Deep Reinforcement Learning for Parameter Tuning of Robot Visual Servoing	16
A Comprehensive Survey on Multi-View Classification: Methods, Applications, and Challenges	16
Selecting and Composing Learning Rate Policies for Deep Neural Networks	16
Fairness and Bias in Algorithmic Hiring: A Multidisciplinary Survey	15
Internal Rehearsals for a Reconfigurable Robot to Improve Area Coverage Performance	15
Neural Topic Modeling via Discrete Variational Inference	15
Query Performance Prediction Using Neural Query Space Proximity	15
Asymmetrical Attention Networks Fused Autoencoder for Debiased Recommendation	15
Utility-aware and Privacy-preserving Trajectory Synthesis Model that Resists Social Relationship Privacy Attacks	15
Tucker Decomposition-Enhanced Dynamic Graph Convolutional Networks for Crowd Flows Prediction	15
The Evaluation Framework and Benchmark for Large Language Models in the Government Affairs Domain	15
Exploring the Risky Travel Area and Behavior of Car-hailing Service	15
Cost-sensitive Tensor-based Dual-stage Attention LSTM with Feature Selection for Data Center Server Power Forecasting	15
Nationwide Air Pollution Forecasting with Heterogeneous Graph Neural Networks	14
Recommender System-Induced Eating Disorder Relapse: Harmful Content and the Challenges of Responsible Recommendation	14
Crowd Flow Prediction for Irregular Regions with Semantic Graph Attention Network	13
Deep Learning Inferencing with High-performance Hardware Accelerators	13
Ranking the Transferability of Adversarial Examples	13
Predicting Future Locations with Semantic Trajectories	13
Introduction to the Special Issue on Deep Learning for Spatio-Temporal Data: Part 2	13
POLLA: Enhancing the Local Structure Awareness in Long Sequence Spatial-temporal Modeling	13
A Survey on Evaluation of Large Language Models	13
Human Pose Transfer with Augmented Disentangled Feature Consistency	13
Cascaded Alternating Refinement Transformer for Few-shot Medical Image Segmentation	12
Empowering Predictive Modeling by GAN-based Causal Information Learning	12
Learning to Hash Knowledge Graph: Element-wise Rotation	12
MVST: A Multi-View Spatial-Temporal Model for Fine-Grained Crime Prediction	12
Robust Recommender Systems with Rating Flip Noise	12
Talking-DiSSM: Enhancing Temporal Consistency in Talking Face Video Generation with Bidirectional SSMs	12
DIRECT: Dual Interpretable Recommendation with Multi-aspect Word Attribution	12
Probing the Symbolic Logical Reasoning Ability of Large Language Models	12
MHGCN+: Multiplex Heterogeneous Graph Convolutional Network	12
FLEE: A Hierarchical Federated Learning Framework for Distributed Deep Neural Network over Cloud, Edge, and End Device	12
DeMEtRIS: Counting (near)-Cliques by Crawling	11
Adaptive Intention Learning for Session-Based Recommendation	11
Robust Neural Model for Searching over Incomplete Graphs	11
TreeSketchNet: From Sketch to 3D Tree Parameters Generation	11
A System for Automated Industrial Test Laboratory Scheduling	11
Transformer Model Embedding Dual Stream for Modulation Classification of Short Signal Samples	11
Recent Few-shot Object Detection Algorithms: A Survey with Performance Comparison	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
Performance Evaluation of Aggregation-based Group Recommender Systems for Ephemeral Groups	11
Multi-agent Reinforcement Learning-based Adaptive Heterogeneous DAG Scheduling	11
Cascade Transformer for Hierarchical Semantic Reasoning in Text-Based Visual Question Answering	11
Retrieving Continuous-Time Event Sequences Using Neural Temporal Point Processes with Learnable Hashing	11
Efficient Federated Learning Using Dynamic Update and Adaptive Pruning with Momentum on Shared Server Data	11
Semi-Synchronous Federated Learning for Energy-Efficient Training and Accelerated Convergence in Cross-Silo Settings	11
Quintuple-based Representation Learning for Bipartite Heterogeneous Networks	10
Bayesian Strategy Networks Based Soft Actor-Critic Learning	10
MedNER: Enhanced Named Entity Recognition in Medical Corpus via Optimized Balanced and Deep Active Learning	10
Detecting Extreme Traffic Events Via a Context Augmented Graph Autoencoder	10
CGKPN: Cross-Graph Knowledge Propagation Network with Adaptive Connection for Reasoning-Based Machine Reading Comprehension	10
OptiRet-Net: An Optimized Low-Light Image Enhancement Technique for CV-Based Applications in Resource-Constrained Environments	10
Improving Availability of Vertical Federated Learning: Relaxing Inference on Non-overlapping Data	10
E 2 Storyline: Visualizing the Relationship with Triplet Entities and Event Discovery	10
TAML: A Traffic-aware Multi-task Learning Model for Estimating Travel Time	10
Multimodal Spatio-Temporal Prediction with Stochastic Adversarial Networks	9
Qrowdsmith: Enhancing Paid Microtask Crowdsourcing with Gamification and Furtherance Incentives	9
RenHaze: A Coarse-to-Fine Rendering Framework for Improving Robustness to Haze	9
Explaining Neural News Recommendation with Attributions onto Reading Histories	9
A Survey on Graph Representation Learning Methods	9
Enhancing Aspect Sentiment Classification with Dual-Channel Graph Convolutional Network	9
Beyond Text: Multimodal Credibility Assessment Approaches for Online User-Generated Content	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
Adversarial Attacks on Deep Reinforcement Learning-based Traffic Signal Control Systems with Colluding Vehicles	9
JASRNet: Learning Joint Adaptive Sampling and Reconstruction for Depth Sensing	9
Question-Attentive Review-Level Explanation for Neural Rating Regression	9
A Survey on Automatic Credibility Assessment Using Textual Credibility Signals in the Era of Large Language Models	9
Federated Learning for Healthcare: Systematic Review and Architecture Proposal	9
Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation	9

GPT-4V(ision) as A Social Media Analysis Engine	9
Enriching Responses with Crowd-Sourced Knowledge for Task-Oriented Conversational Agents	9
HiGRN: A Hierarchical Graph Recurrent Network for Global Sea Surface Temperature Prediction	8
A Spatial and Adversarial Representation Learning Approach for Land Use Classification with POIs	8
A Unified Framework for Analyzing Textual Context and Intent in Social Media	8
DDNAS: Discretized Differentiable Neural Architecture Search for Text Classification	8
A Holistic Approach for Role Inference and Action Anticipation in Human Teams	8
Advances in Pre-trained Language Models for Domain-Specific Text Classification: A Systematic Review	8
Survey on Knowledge Distillation for Large Language Models: Methods, Evaluation, and Application	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
Supply-Demand-aware Deep Reinforcement Learning for Dynamic Fleet Management	8
LLM-Enhanced User–Item Interactions: Leveraging Edge Information for Optimized Recommendations	8
Watermarking in Secure Federated Learning: A Verification Framework Based on Client-Side Backdooring	7
Domain Generalization for Activity Recognition via Adaptive Feature Fusion	7
A Structure-Aware Fair Recommendation Approach Based on Counterfactual Dynamic Hypergraphs	7
Weakly Supervised Video Object Segmentation via Dual-attention Cross-branch Fusion	7
Evaluating GPT-4’s Semantic Understanding of Obstetric-based Healthcare Text through Nurse Ruth	7
A Federated Graph Neural Network with Differential Privacy for Cross-domain Recommender Systems	7
No Free Lunch Theorem for Security and Utility in Federated Learning	7
Edge Manipulations for the Maximum Vertex-Weighted Bipartite b -matching	7
Explainable Product Classification for Customs	7
Bayesian Attribute Bagging-Based Extreme Learning Machine for High-Dimensional Classification and Regression	7
AMT-CDR: A Deep Adversarial Multi-Channel Transfer Network for Cross-Domain Recommendation	7
Inherent Bias in Electronic Health Records: A Scoping Review of Sources of Bias	7
An Explore–Exploit Workload-Bounded Strategy for Rare Event Detection in Massive Energy Sensor Time Series	7
Instant Basketball Defensive Trajectory Generation	7
INN: An Interpretable Neural Network for AI Incubation in Manufacturing	7
Break Out of a Pigeonhole: A Unified Framework for Examining Miscalibration, Bias, and Stereotype in Recommender Systems	7
Transformer-Enhanced Adaptive Graph Convolutional Network for Traffic Flow Prediction	7
Horizon Forcing: Improving the Recurrent Forecasting of Chaotic Systems	7
Optimal Treatment Strategies for Critical Patients with Deep Reinforcement Learning	7
Meaning-Sensitive Text Data Augmentation with Intelligent Masking	7
Noise-aware Local Model Training Mechanism for Federated Learning	7
Fair and Efficient Ridesharing: A Dynamic Programming-based Relocation Approach	7
LLM-enhanced Multiple Instance Learning for Joint Rumor and Stance Detection with Social Context Information	7
Special Issue on Responsible Recommender Systems Part 1	6
FLAME: Self-Supervised Low-Resource Taxonomy Expansion Using Large Language Models	6
EMG-Based Automatic Gesture Recognition Using Lipschitz-Regularized Neural Networks	6
Overcoming Diverse Undesired Effects in Recommender Systems: A Deontological Approach	6
From Representation to Response: Assessing the Alignment of Large Language Models with Human Judgment Patterns	6
Graph Contrastive Learning on Multi-label Classification for Recommendations	6
Learning on Missing Tabular Data: Attention with Self-Supervision, Not Imputation, is All You Need	6
Robust Structure-Aware Graph-based Semi-Supervised Learning: Batch and Recursive Processing	6
CACTUS: A Comprehensive Abstraction and Classification Tool for Uncovering Structures	6
Biomedical Information Retrieval with Positive-Unlabeled Learning and Knowledge Graphs	6
SubgroupTE: Advancing Treatment Effect Estimation with Subgroup Identification	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
Understanding User Preferences in Explainable Artificial Intelligence: A Mapping Function Proposal	6
Introduction to the Special Issue on Evaluations of Large Language Models Part 1	6
Federated Clique Percolation for Privacy-preserving Overlapping Community Detection	6
Semi-Supervised Crowd Counting via Swin Transformer with Adaptive Soft Threshold and Contrastive Learning	6
Privacy-preserving Point-of-interest Recommendation based on Simplified Graph Convolutional Network for Geological Traveling	6
Unsupervised Graph Representation Learning with Cluster-aware Self-training and Refining	6
ReuseKNN: Neighborhood Reuse for Differentially Private KNN-Based Recommendations	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
On Evaluating LLM Integration into Robotic Architectures	5
Learning with Euler Collaborative Representation for Robust Pattern Analysis	5
A Discriminant Information Theoretic Learning Framework for Multi-modal Feature Representation	5
Learning Cross-modality Interaction for Robust Depth Perception of Autonomous Driving	5
You Can Only Tune Normalization: A Simple and Effective Approach to Parameter-Efficient Fine-Tuning	5
Empirical and Experimental Insights into Data Mining Techniques for Crime Prediction: A Comprehensive Survey	5
Federated Learning Survey: A Multi-Level Taxonomy of Aggregation Techniques, Experimental Insights, and Future Frontiers	5
DESIGN: Online Device Selection and Edge Association for Federated Synergy Learning-enabled AIoT	5
Efficient Federated Matrix Factorization Against Inference Attacks	5
Efficiency and Performance Optimization in Large Language Models through IB Fine-Tuning	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
GCFExplainer: Global Counterfactual Explainer for Graph Neural Networks	5
Evaluating the Efficacy of Prompt-Engineered Large Multimodal Models versus Fine-Tuned Vision Transformers in Image-Based Security Applications	5
Towards AI-Assisted Inclusive Language Writing in Italian Formal Communications	5
Describing UI Screenshots in Natural Language	5
Adaptive Target-Oriented Tracking	5
Deep Spatio-temporal Adaptive 3D Convolutional Neural Networks for Traffic Flow Prediction	5
Predicting Next Useful Location with Context-Awareness: The State-of-the-Art	5
Reinforced PU-learning with Hybrid Negative Sampling Strategies for Recommendation	5
MaNIACS : Approximate Mining of Frequent Subgraph Patterns through Sampling	5
Similarity Search with Data Missing	5
HydraGAN: A Cooperative Agent Model for Multi-Objective Data Generation	5
Defending against Poisoning Backdoor Attacks on Federated Meta-learning	5
Relation-aware Graph Convolutional Networks for Multi-relational Network Alignment	5
Knowledge Graph Enhanced Contextualized Attention-Based Network for Responsible User-Specific Recommendation	5
GenFighter: A Generative and Evolutive Textual Attack Removal	5
Adversarial Learning for Cross Domain Recommendations	5
Can Interpretability of Deep Learning Models Detect Textual Adversarial Distribution?	5
Few-shot Named Entity Recognition: Definition, Taxonomy and Research Directions	5
Self-Adaptive Feature Transformation Networks for Object Detection in low luminance Images	5
Cognitive Decision Modeling for Quality of Service in Domestic Pipeline Network	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
A GPT-assisted Multi-Granularity Contrastive Learning approach for Knowledge Graph Entity Typing	4
Guidelines for the Regularization of Gammas in Batch Normalization for Deep Residual Networks	4