ACM Transactions on Intelligent Systems and Technology

Article	Citations
Introduction to the Special Issue on the Federated Learning: Algorithms, Systems, and Applications: Part 1	2386
Prediction for Sensor-Less Locations Using Multi-View Graph Fusion Approach with Approximation Module: A Case Study on Dengue Fever Risk Sensor	511
Robust Learning under Hybrid Noise	479
Patch-Level Contrastive Learning for Improved Time Series Classification with Gramian Angular Field	197
Popularity Bias in Correlation Graph-based API Recommendation for Mashup Creation	173
Spectraformer: A Unified Random Feature Framework for Transformer	162
Second-order Confidence Network for Early Classification of Time Series	144
Modeling the Chaotic Semantic States of Generative Artificial Intelligence (AI): A Quantum Mechanics Analogy Approach	119
Steering-by-example for Progressive Visual Analytics	117
Hierarchical Pruning of Deep Ensembles with Focal Diversity	101
Deep Causal Reasoning for Recommendations	80
Improving Faithfulness and Factuality with Contrastive Learning in Explainable Recommendation	79
Cross-Hierarchical Structure-Detail-Aware Transformer for Single Image Deblurring	79
Evaluating Large Language Models as Virtual Annotators for Time-Series Physical Sensing Data	77
Towards Predicting Urban Land Use Changes: A Dynamic Graph Alignment Perspective	76
Cost-aware Best Arm Identification in Stochastic Bandits	71
Counter-Samples: A Stateless Strategy to Neutralize Black-Box Adversarial Attacks	67
Aspect-Enhanced Explainable Recommendation with Multi-modal Contrastive Learning	62
3D-Guided Frontal Face Generation for Pose-Invariant Recognition	61
Discovering Causes of Traffic Congestion via Deep Transfer Clustering	59
Autoregressive STG-based Diffusion Model for Spatiotemporal Trajectory Generation	55
Multimodal Dialogue Systems via Capturing Context-aware Dependencies and Ordinal Information of Semantic Elements	54
Decentralized Online Learning: Take Benefits from Others’ Data without Sharing Your Own to Track Global Trend	52
Towards a Greener and Fairer Transportation System: A Survey of Route Recommendation Techniques	49
Graph Stochastic Neural Process for Inductive Few-shot Knowledge Graph Completion	47

Corrigendum: An Unbiased Risk Estimator for Partial Label Learning with Augmented Classes	47
Prompt-based Masked Language Modeling for Numerical Reasoning	45
Configure Your Federation: Hierarchical Attention-enhanced Meta-Learning Network for Personalized Federated Learning	44
Fusing Cross-Domain Knowledge from Multimodal Data to Solve Problems in the Physical World	43
Reinforcement Learning for Quantitative Trading	38
PRO-MTL : Parameterized Route Optimization using Multi-Task Learning	38
Treatment Effect Estimation on Networked Observational Data using Disentangled Graph Variational Autoencoder	36
Cross-User Federated Recommendation Unlearning	36
How Do Large Language Models Understand Genes and Cells	35
VesNet: A Vessel Network for Jointly Learning Route Pattern and Future Trajectory	35
Introduction to the Special Issue on Transformers	35
What Your Next Check-in Might Look Like: Next Check-in Behavior Prediction	34
Cross-Region Graph Convolutional Network with Periodicity Shift Adaptation for Wide-Area SST Prediction	34
PPFedIT: Towards Privacy-Preserving Federated Instruction Tuning with Few-shot Local Examples	34
Generating Daily Activities with Need Dynamics	34
AEKG4APT: An AI-Enhanced Knowledge Graph for Advanced Persistent Threats with Large Language Model Analysis	34
Local Edge Dynamics and Opinion Polarization	32
Towards On-device Personalization: Cloud-device Collaborative Data Augmentation for Efficient On-device Language Model	32
Ensuring Fairness and Gradient Privacy in Personalized Heterogeneous Federated Learning	32
Adapting to My User, Engaging with My Robot: An Adaptive Affective Architecture for a Social Assistive Robot	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
Breaking the Fog with SIGHT: Attention-Guided State Prediction for Partially Observable Reinforcement Learning	30
SiG: A Siamese-Based Graph Convolutional Network to Align Knowledge in Autonomous Transportation Systems	29
Incorporation of Data-Mined Knowledge into Black-Box SVM for Interpretability	28
Joint Structural-Functional Brain Graph Transformer	27
SSPINNpose: A Self-Supervised PINN for Inertial Pose and Dynamics Estimation	26
Auto-weighted Robust Federated Learning with Corrupted Data Sources	26
PRiD \(\boldsymbol{\varepsilon}\) : A Contextual and Pattern-Aware Model for Digital Twins Using Genetically Optimized Differential Privacy	25
GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual Reasoning	25
The Privacy Issue of Counterfactual Explanations: Explanation Linkage Attacks	25
Relation Constrained Capsule Graph Neural Networks for Non-Rigid Shape Correspondence	24
Physics-Based Abnormal Trajectory Gap Detection	23
A Novel Intelligent Video Surveillance System Using Low-Traffic Scene-Preserving Video Anonymization	23
Federated Learning for Electronic Health Records	23
Deep Learning Embedded into Smart Traps for Fruit Insect Pests Detection	23
The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems	22
Modeling Within-Basket Auxiliary Item Recommendation with Matchability and Ubiquity	22
Grounding Foundation Models through Federated Transfer Learning: A General Framework	22
ROIS: Role-Based Multi-Agent Collaboration by Context-Time-Aware Information Sharing	21
Balancing Cooperation and Competition: Selfish Worker Coalition Formation in Spatial Crowdsourcing	21
Hybrid Representation and Decision Fusion towards Visual-textual Sentiment	20
Fighting Misinformation in Health News: DCNN-CapsNet for Cross-Domain Health Misinformation Detection	20
Self-supervised Text Style Transfer Using Cycle-Consistent Adversarial Networks	20
Unsupervised Outlier Detection with Reinforced Noise Discriminator	19
Shifting Capsule Networks from the Cloud to the Deep Edge	19
Disease Simulation in Airport Scenario Based on Individual Mobility Model	19
REMEND: Neural Decompilation for Reverse Engineering Math Equations from Binary Executables	18
Federated Inverse Probability Treatment Weighting for Individual Treatment Effect Estimation	18
Prior Knowledge Constrained Adaptive Graph Framework for Partial Label Learning	18

Demand-driven Urban Facility Visit Prediction	18
Developing Time Series Forecasting Models with Generative Large Language Models	17
FEIR: Quantifying and Reducing Envy and Inferiority for Fair Recommendation of Limited Resources	17
Federated Social Recommendation with Graph Neural Network	17
Reconstructing Turbulent Flows Using Spatio-temporal Physical Dynamics	17
Urban Computing in the Era of Large Language Models	17
Deep Reinforcement Learning for Parameter Tuning of Robot Visual Servoing	17
MetaDetector: Meta Event Knowledge Transfer for Fake News Detection	16
Multi-Metric Client Activation Method for Fast and Accurate Federated Learning	16
Matching Accounts on Blockchain via Pseudo Fine-tuning of Language Models	16
Hyper-Laplacian Regularized Multi-View Clustering with Exclusive L21 Regularization and Tensor Log-Determinant Minimization Approach	16
A Comprehensive Survey on Multi-View Classification: Methods, Applications, and Challenges	15
Adversarial Face Database against Deep Learning-Enabled Reconstruction Attacks	15
Survey of Action Recognition, Spotting, and Spatio-Temporal Localization in Soccer—Current Trends and Research Perspectives	15
Selecting and Composing Learning Rate Policies for Deep Neural Networks	15
Dual Graph Convolution Architecture Search for Travel Time Estimation	15
Beyond the Singularity Myth: Artificial General Intelligence as Cumulative Infrastructural Transformation—Absorption Capacity, Epistemic Drift, and the Erosion of Human Verification Power	15
SAug: Structural Imbalance Aware Augmentation for Graph Neural Networks	15
DNSRF: Deep Network-based Semi-NMF Representation Framework	15
Gray-Box Shilling Attack: An Adversarial Learning Approach	15
Asymmetrical Attention Networks Fused Autoencoder for Debiased Recommendation	14
Internal Rehearsals for a Reconfigurable Robot to Improve Area Coverage Performance	14
Deep Learning Inferencing with High-performance Hardware Accelerators	14
FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction	14
HRGNN: Learning Holistically Robust Graph Neural Networks on Noisy Graphs with Label Scarcity	14
Tucker Decomposition-Enhanced Dynamic Graph Convolutional Networks for Crowd Flows Prediction	14
Corrigendum: Score-based Graph Learning for Urban Flow Prediction	14
Cost-sensitive Tensor-based Dual-stage Attention LSTM with Feature Selection for Data Center Server Power Forecasting	13
Neural Topic Modeling via Discrete Variational Inference	13
Crowd Flow Prediction for Irregular Regions with Semantic Graph Attention Network	13
Recommender System-Induced Eating Disorder Relapse: Harmful Content and the Challenges of Responsible Recommendation	13
Fairness and Bias in Algorithmic Hiring: A Multidisciplinary Survey	13
Corrigendum: DESIGN: Online Device Selection and Edge Association for Federated Synergy Learning-enabled AIoT	13
Query Performance Prediction Using Neural Query Space Proximity	13
The Evaluation Framework and Benchmark for Large Language Models in the Government Affairs Domain	13
On Developing Explainable AI Evaluation Metrics for Image Classification Using Borda Count and Multiple Correlation Techniques	13
A Survey on Evaluation of Large Language Models	12
FLEE: A Hierarchical Federated Learning Framework for Distributed Deep Neural Network over Cloud, Edge, and End Device	12
Ranking the Transferability of Adversarial Examples	12
Human Pose Transfer with Augmented Disentangled Feature Consistency	12
DIRECT: Dual Interpretable Recommendation with Multi-aspect Word Attribution	12
Nationwide Air Pollution Forecasting with Heterogeneous Graph Neural Networks	12
Talking-DiSSM: Enhancing Temporal Consistency in Talking Face Video Generation with Bidirectional SSMs	12
Empowering Predictive Modeling by GAN-based Causal Information Learning	12
Robust Recommender Systems with Rating Flip Noise	11
DeMEtRIS: Counting (near)-Cliques by Crawling	11
Cascade Transformer for Hierarchical Semantic Reasoning in Text-Based Visual Question Answering	11
Transformer Model Embedding Dual Stream for Modulation Classification of Short Signal Samples	11
Learning to Hash Knowledge Graph: Element-wise Rotation	11
Probing the Symbolic Logical Reasoning Ability of Large Language Models	11
MVST: A Multi-View Spatial-Temporal Model for Fine-Grained Crime Prediction	11
Dynamic Population Distribution Aware Human Trajectory Generation with Diffusion Model	11
Adaptive Intention Learning for Session-Based Recommendation	11
Cascaded Alternating Refinement Transformer for Few-shot Medical Image Segmentation	11
MHGCN+: Multiplex Heterogeneous Graph Convolutional Network	11
A Comprehensive Performance Evaluation of LLMs for Data-to-Text Generation and Divergence-Weighted Training	11
A Bibliometric Review of Large Language Models Research from 2017 to 2023	11
Self-Supervised Learning for Clinical Time Series via Robust Optimization and Adaptive Data Augmentation	10
Detecting Extreme Traffic Events Via a Context Augmented Graph Autoencoder	10
Robust Neural Model for Searching over Incomplete Graphs	10
TreeSketchNet: From Sketch to 3D Tree Parameters Generation	10
Multi-agent Reinforcement Learning-based Adaptive Heterogeneous DAG Scheduling	10
Atom-Motif Contrastive Transformer for Molecular Property Prediction	10
Qrowdsmith: Enhancing Paid Microtask Crowdsourcing with Gamification and Furtherance Incentives	10
E 2 Storyline: Visualizing the Relationship with Triplet Entities and Event Discovery	10
Efficient Federated Learning Using Dynamic Update and Adaptive Pruning with Momentum on Shared Server Data	10
Improving Availability of Vertical Federated Learning: Relaxing Inference on Non-overlapping Data	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
Bayesian Strategy Networks Based Soft Actor-Critic Learning	10
CGKPN: Cross-Graph Knowledge Propagation Network with Adaptive Connection for Reasoning-Based Machine Reading Comprehension	10
A Survey on Graph Representation Learning Methods	10
Personalized Learning Path Recommendation with Time-Aware Attention-Based Reinforcement Learning	10
MedNER: Enhanced Named Entity Recognition in Medical Corpus via Optimized Balanced and Deep Active Learning	10
Recent Few-shot Object Detection Algorithms: A Survey with Performance Comparison	10
Quintuple-based Representation Learning for Bipartite Heterogeneous Networks	10
RenHaze: A Coarse-to-Fine Rendering Framework for Improving Robustness to Haze	10
Real-time Road Network Optimization with Coordinated Reinforcement Learning	10
A System for Automated Industrial Test Laboratory Scheduling	10
Performance Evaluation of Aggregation-based Group Recommender Systems for Ephemeral Groups	9

GPT-4V(ision) as A Social Media Analysis Engine	9
DDNAS: Discretized Differentiable Neural Architecture Search for Text Classification	9
A Structure-Aware Fair Recommendation Approach Based on Counterfactual Dynamic Hypergraphs	9
Beyond Text: Multimodal Credibility Assessment Approaches for Online User-Generated Content	9
JASRNet: Learning Joint Adaptive Sampling and Reconstruction for Depth Sensing	9
CLC: A Consensus-based Label Correction Approach in Federated Learning	9
Explaining Neural News Recommendation with Attributions onto Reading Histories	9
LLM-Enhanced User–Item Interactions: Leveraging Edge Information for Optimized Recommendations	9
OptiRet-Net: An Optimized Low-Light Image Enhancement Technique for CV-Based Applications in Resource-Constrained Environments	9
Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation	9
Enhancing Aspect Sentiment Classification with Dual-Channel Graph Convolutional Network	9
Optimal Treatment Strategies for Critical Patients with Deep Reinforcement Learning	9
RCCNet: A Spatial-Temporal Neural Network Model for Logistics Delivery Timely Rate Prediction	9
A Survey on Automatic Credibility Assessment Using Textual Credibility Signals in the Era of Large Language Models	9
Probabilistic Runtime Verification, Evaluation, and Risk Assessment of Visual Deep Learning Systems	8
Survey on Knowledge Distillation for Large Language Models: Methods, Evaluation, and Application	8
A Unified Framework for Analyzing Textual Context and Intent in Social Media	8
Horizon Forcing: Improving the Recurrent Forecasting of Chaotic Systems	8
Noise-aware Local Model Training Mechanism for Federated Learning	8
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
Question-Attentive Review-Level Explanation for Neural Rating Regression	8
Adversarial Attacks on Deep Reinforcement Learning-based Traffic Signal Control Systems with Colluding Vehicles	8
Edge Manipulations for the Maximum Vertex-Weighted Bipartite b -matching	8
Break Out of a Pigeonhole: A Unified Framework for Examining Miscalibration, Bias, and Stereotype in Recommender Systems	8
Advances in Pre-trained Language Models for Domain-Specific Text Classification: A Systematic Review	8
A Holistic Approach for Role Inference and Action Anticipation in Human Teams	8
Reliable Batch-Sequential Model Editing via Enhanced Editing Anchor Compression	8
An Explore–Exploit Workload-Bounded Strategy for Rare Event Detection in Massive Energy Sensor Time Series	8
Meaning-Sensitive Text Data Augmentation with Intelligent Masking	8
Neuro-Symbolic Generative Adapters for Urban Foundation Models	8
Enriching Responses with Crowd-Sourced Knowledge for Task-Oriented Conversational Agents	8
Transformer-Enhanced Adaptive Graph Convolutional Network for Traffic Flow Prediction	7
Fair and Efficient Ridesharing: A Dynamic Programming-based Relocation Approach	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	7
Introduction to the Special Issue on Evaluations of Large Language Models: Part 1	7
Graph Contrastive Learning on Multi-label Classification for Recommendations	7
Enhancing POI Recommendation through Global Graph Disentanglement with POI Weighted Module	7
Inherent Bias in Electronic Health Records: A Scoping Review of Sources of Bias	7
A New DAWN for Fake News Detection: Exploiting Engagement Earliness for Temporality-aware Evaluation	7
AMT-CDR: A Deep Adversarial Multi-Channel Transfer Network for Cross-Domain Recommendation	7
Explainable Product Classification for Customs	7
A Review on Source Code Documentation	7
Evaluating LLM-based Agents for Multi-turn Conversations: A Survey	7
No Free Lunch Theorem for Security and Utility in Federated Learning	7
Evaluating GPT-4’s Semantic Understanding of Obstetric-based Healthcare Text through Nurse Ruth	7
Domain Generalization for Activity Recognition via Adaptive Feature Fusion	7
From Representation to Response: Assessing the Alignment of Large Language Models with Human Judgment Patterns	7
Robust Structure-Aware Graph-based Semi-Supervised Learning: Batch and Recursive Processing	7
Learning on Missing Tabular Data: Attention with Self-Supervision, Not Imputation, is All You Need	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
Privacy-preserving Point-of-interest Recommendation based on Simplified Graph Convolutional Network for Geological Traveling	6
INN: An Interpretable Neural Network for AI Incubation in Manufacturing	6
FedPRS: A Privacy-preserving Representation Synthesis Framework for Federated Contribution Evaluation	6
Understanding User Preferences in Explainable Artificial Intelligence: A Mapping Function Proposal	6
FLAME: Self-Supervised Low-Resource Taxonomy Expansion Using Large Language Models	6
Federated Clique Percolation for Privacy-preserving Overlapping Community Detection	6
Special Issue on Responsible Recommender Systems Part 1	6
Hierarchical Reinforcement Learning for Energy-Efficient Urban Planning	6
Highly Efficient Traffic Planning for Autonomous Vehicles to Cross Intersections Without a Stop	6
ONION: Online Semantic Autoencoder Hashing for Cross-Modal Retrieval	6
CACTUS: A Comprehensive Abstraction and Classification Tool for Uncovering Structures	6
Biomedical Information Retrieval with Positive-Unlabeled Learning and Knowledge Graphs	6
Overcoming Diverse Undesired Effects in Recommender Systems: A Deontological Approach	6
A Federated Graph Neural Network with Differential Privacy for Cross-domain Recommender Systems	6
Modeling N-ary Relational Knowledge Bases with Tensor Decomposition	6
ReuseKNN: Neighborhood Reuse for Differentially Private KNN-Based Recommendations	6
When Do Large Language Models (LLMs) Struggle to Count Letters?	5
Reinforced PU-learning with Hybrid Negative Sampling Strategies for Recommendation	5
Unsupervised Graph Representation Learning with Cluster-aware Self-training and Refining	5
Towards Fair Graph Representation Learning by Overcoming Social Homophily	5
Efficient Federated Matrix Factorization Against Inference Attacks	5
GenFighter: A Generative and Evolutive Textual Attack Removal	5
Defending against Poisoning Backdoor Attacks on Federated Meta-learning	5
Ideology-Based LLMs for Content Moderation	5
Predicting Next Useful Location with Context-Awareness: The State-of-the-Art	5
Few-shot Named Entity Recognition: Definition, Taxonomy and Research Directions	5
Can Interpretability of Deep Learning Models Detect Textual Adversarial Distribution?	5
Efficiency and Performance Optimization in Large Language Models through IB Fine-Tuning	5
Adaptive Target-Oriented Tracking	5
Learning with Euler Collaborative Representation for Robust Pattern Analysis	5
SubgroupTE: Advancing Treatment Effect Estimation with Subgroup Identification	5
MaNIACS : Approximate Mining of Frequent Subgraph Patterns through Sampling	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
EMG-Based Automatic Gesture Recognition Using Lipschitz-Regularized Neural Networks	5
Adversarial Learning for Cross Domain Recommendations	5
PMARL: Multi-Agent Reinforcement Learning in Large-Scale Systems	4
Performing Cancer Diagnosis via an Isoform Expression Ranking-based LSTM Model	4
A Discriminant Information Theoretic Learning Framework for Multi-modal Feature Representation	4
HydraGAN: A Cooperative Agent Model for Multi-Objective Data Generation	4
Intrinsic Performance Influence-based Participant Contribution Estimation for Horizontal Federated Learning	4
Evaluating the Efficacy of Prompt-Engineered Large Multimodal Models versus Fine-Tuned Vision Transformers in Image-Based Security Applications	4