ACM Transactions on Intelligent Systems and Technology

Article	Citations
Introduction to the Special Issue on the Federated Learning: Algorithms, Systems, and Applications: Part 1	2638
Prediction for Sensor-Less Locations Using Multi-View Graph Fusion Approach with Approximation Module: A Case Study on Dengue Fever Risk Sensor	662
Popularity Bias in Correlation Graph-based API Recommendation for Mashup Creation	542
Modeling the Chaotic Semantic States of Generative Artificial Intelligence (AI): A Quantum Mechanics Analogy Approach	218
Steering-by-example for Progressive Visual Analytics	195
Hierarchical Pruning of Deep Ensembles with Focal Diversity	172
Improving Faithfulness and Factuality with Contrastive Learning in Explainable Recommendation	151
Deep Causal Reasoning for Recommendations	129
Spectraformer: A Unified Random Feature Framework for Transformer	124
Leveraging Large Language Models for Generating Research Topic Ontologies: A Multi-Disciplinary Study	116
Evaluating Large Language Models as Virtual Annotators for Time-Series Physical Sensing Data	94
Patch-Level Contrastive Learning for Improved Time Series Classification with Gramian Angular Field	94
Robust Learning under Hybrid Noise	92
Empowering Job Recommendation with Large Language Models: A Generative and Attentive Approach	85
Second-order Confidence Network for Early Classification of Time Series	83
Cross-Hierarchical Structure-Detail-Aware Transformer for Single Image Deblurring	82
Towards Predicting Urban Land Use Changes: A Dynamic Graph Alignment Perspective	82
Counter-Samples: A Stateless Strategy to Neutralize Black-Box Adversarial Attacks	75
3D-Guided Frontal Face Generation for Pose-Invariant Recognition	72
Discovering Causes of Traffic Congestion via Deep Transfer Clustering	66
Decentralized Online Learning: Take Benefits from Others’ Data without Sharing Your Own to Track Global Trend	64
Towards a Greener and Fairer Transportation System: A Survey of Route Recommendation Techniques	56
Graph Stochastic Neural Process for Inductive Few-shot Knowledge Graph Completion	49
Corrigendum: An Unbiased Risk Estimator for Partial Label Learning with Augmented Classes	49
Prompt-based Masked Language Modeling for Numerical Reasoning	48

Configure Your Federation: Hierarchical Attention-enhanced Meta-Learning Network for Personalized Federated Learning	47
Cost-aware Best Arm Identification in Stochastic Bandits	45
Aspect-Enhanced Explainable Recommendation with Multi-modal Contrastive Learning	45
Autoregressive STG-based Diffusion Model for Spatiotemporal Trajectory Generation	43
Multimodal Dialogue Systems via Capturing Context-aware Dependencies and Ordinal Information of Semantic Elements	43
UEnhancer: Spatially Enriched Transformer with Dual-color Information for Underwater Image Enhancement	41
Fusing Cross-Domain Knowledge from Multimodal Data to Solve Problems in the Physical World	40
PRO-MTL : Parameterized Route Optimization using Multi-Task Learning	38
How Do Large Language Models Understand Genes and Cells	37
Introduction to the Special Issue on Transformers	37
Treatment Effect Estimation on Networked Observational Data Using Disentangled Graph Variational Autoencoder	37
VesNet: A Vessel Network for Jointly Learning Route Pattern and Future Trajectory	36
AEKG4APT: An AI-Enhanced Knowledge Graph for Advanced Persistent Threats with Large Language Model Analysis	35
Temporal-Weighted Transfer Network for Knowledge Graph Extrapolation	35
PPFedIT : Towards Privacy-preserving Federated Instruction Tuning with Few-shot Local Examples	34
Cross-User Federated Recommendation Unlearning	34
Reinforcement Learning for Quantitative Trading	34
What Your Next Check-in Might Look Like: Next Check-in Behavior Prediction	32
Generating Daily Activities with Need Dynamics	32
Local Edge Dynamics and Opinion Polarization	32
Cross-Region Graph Convolutional Network with Periodicity Shift Adaptation for Wide-Area SST Prediction	32
Towards On-device Personalization: Cloud-device Collaborative Data Augmentation for Efficient On-device Language Model	31
QATCH: Automatic Evaluation of SQL-Centric Tasks on Proprietary Data	28
A Novel Intelligent Video Surveillance System Using Low-Traffic Scene-Preserving Video Anonymization	27
Breaking the Fog with SIGHT: Attention-Guided State Prediction for Partially Observable Reinforcement Learning	27
WC-SBERT: Zero-Shot Topic Classification Using SBERT and Light Self-Training on Wikipedia Categories	27
Incorporation of Data-Mined Knowledge into Black-Box SVM for Interpretability	26
Grounding Foundation Models through Federated Transfer Learning: A General Framework	26
Joint Structural-Functional Brain Graph Transformer	25
Relation Constrained Capsule Graph Neural Networks for Non-Rigid Shape Correspondence	24
Deep Learning Embedded into Smart Traps for Fruit Insect Pests Detection	23
SSPINNpose: A Self-Supervised PINN for Inertial Pose and Dynamics Estimation	23
Adapting to My User, Engaging with My Robot: An Adaptive Affective Architecture for a Social Assistive Robot	23
Physics-Based Abnormal Trajectory Gap Detection	23
Ensuring Fairness and Gradient Privacy in Personalized Heterogeneous Federated Learning	22
GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual Reasoning	22
The Privacy Issue of Counterfactual Explanations: Explanation Linkage Attacks	22
SiG: A Siamese-Based Graph Convolutional Network to Align Knowledge in Autonomous Transportation Systems	22
PRiD \(\boldsymbol{\varepsilon}\) : A Contextual and Pattern-Aware Model for Digital Twins Using Genetically Optimized Differential Privacy	21
MU4Sum: Aspect Unlearning in LLM-based Document Summarization	21
Balancing Cooperation and Competition: Selfish Worker Coalition Formation in Spatial Crowdsourcing	21
Self-supervised Text Style Transfer Using Cycle-Consistent Adversarial Networks	20
Hybrid Representation and Decision Fusion towards Visual-textual Sentiment	20
Fighting Misinformation in Health News: DCNN-CapsNet for Cross-Domain Health Misinformation Detection	20
REMEND: Neural Decompilation for Reverse Engineering Math Equations from Binary Executables	18
Shifting Capsule Networks from the Cloud to the Deep Edge	18
Demand-driven Urban Facility Visit Prediction	18
Disease Simulation in Airport Scenario Based on Individual Mobility Model	18
Unsupervised Outlier Detection with Reinforced Noise Discriminator	18
Modeling Within-Basket Auxiliary Item Recommendation with Matchability and Ubiquity	17

Differential Privacy in Machine Learning: A Survey from Symbolic AI to LLMs	17
A Survey of Mamba	17
Prior Knowledge Constrained Adaptive Graph Framework for Partial Label Learning	17
Developing Time Series Forecasting Models with Generative Large Language Models	17
ROIS: Role-Based Multi-Agent Collaboration by Context-Time-Aware Information Sharing	17
Federated Inverse Probability Treatment Weighting for Individual Treatment Effect Estimation	17
Federated Social Recommendation with Graph Neural Network	16
SAug: Structural Imbalance Aware Augmentation for Graph Neural Networks	16
Beyond the Singularity Myth: Artificial General Intelligence as Cumulative Infrastructural Transformation—Absorption Capacity, Epistemic Drift, and the Erosion of Human Verification Power	16
Multi-Metric Client Activation Method for Fast and Accurate Federated Learning	16
Urban Computing in the Era of Large Language Models	16
Adversarial Face Database against Deep Learning-Enabled Reconstruction Attacks	16
FEIR: Quantifying and Reducing Envy and Inferiority for Fair Recommendation of Limited Resources	16
Matching Accounts on Blockchain via Pseudo Fine-tuning of Language Models	16
FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction	15
Selecting and Composing Learning Rate Policies for Deep Neural Networks	15
Corrigendum: Score-based Graph Learning for Urban Flow Prediction	15
SHAM-AI: A Self-Healing and Adaptive Multi-Modal Anomaly Intelligence Framework for Securing Cloud Digital Twins	15
DNSRF: Deep Network-based Semi-NMF Representation Framework	15
MetaDetector: Meta Event Knowledge Transfer for Fake News Detection	15
Dual Graph Convolution Architecture Search for Travel Time Estimation	15
A Comprehensive Survey on Multi-View Classification: Methods, Applications, and Challenges	14
Reconstructing Turbulent Flows Using Spatio-temporal Physical Dynamics	14
Neural Topic Modeling via Discrete Variational Inference	14
Hyper-Laplacian Regularized Multi-View Clustering with Exclusive L21 Regularization and Tensor Log-Determinant Minimization Approach	14
Survey of Action Recognition, Spotting, and Spatio-Temporal Localization in Soccer—Current Trends and Research Perspectives	14
Asymmetrical Attention Networks Fused Autoencoder for Debiased Recommendation	14
Internal Rehearsals for a Reconfigurable Robot to Improve Area Coverage Performance	14
Gray-Box Shilling Attack: An Adversarial Learning Approach	14
Deep Reinforcement Learning for Parameter Tuning of Robot Visual Servoing	14
The Evaluation Framework and Benchmark for Large Language Models in the Government Affairs Domain	14
Query Performance Prediction Using Neural Query Space Proximity	13
HRGNN: Learning Holistically Robust Graph Neural Networks on Noisy Graphs with Label Scarcity	13
Cost-sensitive Tensor-based Dual-stage Attention LSTM with Feature Selection for Data Center Server Power Forecasting	13
Embryo Prediction Network: Determining Embryo Transfer Strategies with Time-Lapse Imaging for In-Vitro Fertilization Treatment	13
Corrigendum: DESIGN: Online Device Selection and Edge Association for Federated Synergy Learning-enabled AIoT	13
Recommender System-Induced Eating Disorder Relapse: Harmful Content and the Challenges of Responsible Recommendation	13
A Technical Survey of Reinforcement Learning Techniques for Large Language Models	13
On Developing Explainable AI Evaluation Metrics for Image Classification Using Borda Count and Multiple Correlation Techniques	13
Nationwide Air Pollution Forecasting with Heterogeneous Graph Neural Networks	13
Tucker Decomposition-Enhanced Dynamic Graph Convolutional Networks for Crowd Flows Prediction	12
Human Pose Transfer with Augmented Disentangled Feature Consistency	12
MHGCN+: Multiplex Heterogeneous Graph Convolutional Network	12
Fairness and Bias in Algorithmic Hiring: A Multidisciplinary Survey	12
Empowering Predictive Modeling by GAN-based Causal Information Learning	12
Talking-DiSSM: Enhancing Temporal Consistency in Talking Face Video Generation with Bidirectional SSMs	12
Deep Learning Inferencing with High-performance Hardware Accelerators	12
A Survey on Evaluation of Large Language Models	12
DIRECT: Dual Interpretable Recommendation with Multi-aspect Word Attribution	12
Probing the Symbolic Logical Reasoning Ability of Large Language Models	12
DeMEtRIS: Counting (near)-Cliques by Crawling	11
Robust Neural Model for Searching over Incomplete Graphs	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
Detecting In-Person Conversations in Noisy Real-World Environments with Smartwatch Audio and Motion Sensing	11
Learning to Hash Knowledge Graph: Element-wise Rotation	11
Large Language Models in Database Management System Optimization: A Survey	11
Personalized Learning Path Recommendation with Time-Aware Attention-Based Reinforcement Learning	11
FLEE: A Hierarchical Federated Learning Framework for Distributed Deep Neural Network over Cloud, Edge, and End Device	11
TreeSketchNet: From Sketch to 3D Tree Parameters Generation	11
Multi-agent Reinforcement Learning-based Adaptive Heterogeneous DAG Scheduling	11
Cascade Transformer for Hierarchical Semantic Reasoning in Text-Based Visual Question Answering	11
Robust Recommender Systems with Rating Flip Noise	11
Ranking the Transferability of Adversarial Examples	11
Dynamic Population Distribution Aware Human Trajectory Generation with Diffusion Model	11
A Comprehensive Performance Evaluation of LLMs for Data-to-Text Generation and Divergence-Weighted Training	11
MVST: A Multi-View Spatial-Temporal Model for Fine-Grained Crime Prediction	11
A Bibliometric Review of Large Language Models Research from 2017 to 2023	11
Cascaded Alternating Refinement Transformer for Few-shot Medical Image Segmentation	11
Local Causal Structure Learning with Efficient Parents Discovery	10
Retrieving Continuous-Time Event Sequences Using Neural Temporal Point Processes with Learnable Hashing	10
Real-time Road Network Optimization with Coordinated Reinforcement Learning	10
Qrowdsmith: Enhancing Paid Microtask Crowdsourcing with Gamification and Furtherance Incentives	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
Adaptive Intention Learning for Session-Based Recommendation	10
Self-Supervised Learning for Clinical Time Series via Robust Optimization and Adaptive Data Augmentation	10
A System for Automated Industrial Test Laboratory Scheduling	10
Performance Evaluation of Aggregation-based Group Recommender Systems for Ephemeral Groups	10
RenHaze: A Coarse-to-Fine Rendering Framework for Improving Robustness to Haze	10

Quintuple-based Representation Learning for Bipartite Heterogeneous Networks	10
Atom-Motif Contrastive Transformer for Molecular Property Prediction	10
E 2 Storyline: Visualizing the Relationship with Triplet Entities and Event Discovery	10
Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation	10
Uncertainty-Guided Adaptive Knowledge Distillation for Lightweight Cross-Domain Object Detection	10
A Survey on Automatic Credibility Assessment Using Textual Credibility Signals in the Era of Large Language Models	9
Efficient Federated Learning Using Dynamic Update and Adaptive Pruning with Momentum on Shared Server Data	9
JASRNet: Learning Joint Adaptive Sampling and Reconstruction for Depth Sensing	9
DDNAS: Discretized Differentiable Neural Architecture Search for Text Classification	9
CGKPN: Cross-Graph Knowledge Propagation Network with Adaptive Connection for Reasoning-Based Machine Reading Comprehension	9
Beyond Text: Multimodal Credibility Assessment Approaches for Online User-Generated Content	9
Enhancing Aspect Sentiment Classification with Dual-Channel Graph Convolutional Network	9
Bayesian Strategy Networks Based Soft Actor-Critic Learning	9
OptiRet-Net: An Optimized Low-Light Image Enhancement Technique for CV-Based Applications in Resource-Constrained Environments	9
Coordinated Deception: Generative Agents for Multi-Agent Fake News Generation	9
A Survey on Graph Representation Learning Methods	9
Optimal Treatment Strategies for Critical Patients with Deep Reinforcement Learning	9
HiGRN: A Hierarchical Graph Recurrent Network for Global Sea Surface Temperature Prediction	8
LLM-Enhanced User–Item Interactions: Leveraging Edge Information for Optimized Recommendations	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
A Structure-Aware Fair Recommendation Approach Based on Counterfactual Dynamic Hypergraphs	8
Question-Attentive Review-Level Explanation for Neural Rating Regression	8
Enriching Responses with Crowd-Sourced Knowledge for Task-Oriented Conversational Agents	8
Explaining Neural News Recommendation with Attributions onto Reading Histories	8
Reliable Batch-Sequential Model Editing via Enhanced Editing Anchor Compression	8
A Unified Framework for Analyzing Textual Context and Intent in Social Media	8
Survey on Knowledge Distillation for Large Language Models: Methods, Evaluation, and Application	8
A Survey and Computational Atlas of Personality Models	8
GPT-4V(ision) as A Social Media Analysis Engine	8
Adversarial Attacks on Deep Reinforcement Learning-based Traffic Signal Control Systems with Colluding Vehicles	8
RCCNet: A Spatial-Temporal Neural Network Model for Logistics Delivery Timely Rate Prediction	8
Probabilistic Runtime Verification, Evaluation, and Risk Assessment of Visual Deep Learning Systems	8
Privacy-Utility Trade-off in Data Publication: A Bilevel Optimization Framework with Curvature-Guided Perturbation	8
An Explore–Exploit Workload-Bounded Strategy for Rare Event Detection in Massive Energy Sensor Time Series	7
A Spatial and Adversarial Representation Learning Approach for Land Use Classification with POIs	7
Break Out of a Pigeonhole: A Unified Framework for Examining Miscalibration, Bias, and Stereotype in Recommender Systems	7
Noise-aware Local Model Training Mechanism for Federated Learning	7
Transformer-Enhanced Adaptive Graph Convolutional Network for Traffic Flow Prediction	7
Edge Manipulations for the Maximum Vertex-Weighted Bipartite b -matching	7
Evaluating GPT-4’s Semantic Understanding of Obstetric-based Healthcare Text through Nurse Ruth	7
Watermarking in Secure Federated Learning: A Verification Framework Based on Client-Side Backdooring	7
Horizon Forcing: Improving the Recurrent Forecasting of Chaotic Systems	7
Fair and Efficient Ridesharing: A Dynamic Programming-based Relocation Approach	7
Enhancing POI Recommendation through Global Graph Disentanglement with POI Weighted Module	7
AMT-CDR: A Deep Adversarial Multi-Channel Transfer Network for Cross-Domain Recommendation	7
A New DAWN for Fake News Detection: Exploiting Engagement Earliness for Temporality-aware Evaluation	7
LLM-enhanced Multiple Instance Learning for Joint Rumor and Stance Detection with Social Context Information	7
Meaning-Sensitive Text Data Augmentation with Intelligent Masking	7
Hierarchical Reinforcement Learning for Energy-Efficient Urban Planning	6
ONION: Online Semantic Autoencoder Hashing for Cross-Modal Retrieval	6
A Comprehensive Defense Framework Against Poisoning Backdoor Attacks in Federated Learning	6
Explainable Product Classification for Customs	6
Introduction to the Special Issue on Evaluations of Large Language Models: Part 1	6
Highly Efficient Traffic Planning for Autonomous Vehicles to Cross Intersections Without a Stop	6
Graph Contrastive Learning on Multi-label Classification for Recommendations	6
ReuseKNN: Neighborhood Reuse for Differentially Private KNN-Based Recommendations	6
From Representation to Response: Assessing the Alignment of Large Language Models with Human Judgment Patterns	6
Inherent Bias in Electronic Health Records: A Scoping Review of Sources of Bias	6
Domain Generalization for Activity Recognition via Adaptive Feature Fusion	6
Modeling N-ary Relational Knowledge Bases with Tensor Decomposition	6
Understanding User Preferences in Explainable Artificial Intelligence: A Mapping Function Proposal	6
Deep Learning for Molecular Property Prediction with Logical Background Knowledge	6
No Free Lunch Theorem for Security and Utility in Federated Learning	6
Evaluating LLM-based Agents for Multi-turn Conversations: A Survey	6
Neuro-Symbolic Generative Adapters for Urban Foundation Models	6
Robust Structure-Aware Graph-based Semi-Supervised Learning: Batch and Recursive Processing	6
Learning on Missing Tabular Data: Attention with Self-Supervision, Not Imputation, is All You Need	5
FedPRS: A Privacy-preserving Representation Synthesis Framework for Federated Contribution Evaluation	5
Can Interpretability of Deep Learning Models Detect Textual Adversarial Distribution?	5
EMG-Based Automatic Gesture Recognition Using Lipschitz-Regularized Neural Networks	5
SubgroupTE: Advancing Treatment Effect Estimation with Subgroup Identification	5
Reinforced PU-learning with Hybrid Negative Sampling Strategies for Recommendation	5
Tapestry of Time and Actions: Modeling Human Activity Sequences Using Temporal Point Process Flows	5
Overcoming Diverse Undesired Effects in Recommender Systems: A Deontological Approach	5
Biomedical Information Retrieval with Positive-Unlabeled Learning and Knowledge Graphs	5
CACTUS: A Comprehensive Abstraction and Classification Tool for Uncovering Structures	5
A Federated Graph Neural Network with Differential Privacy for Cross-domain Recommender Systems	5
When Do Large Language Models (LLMs) Struggle to Count Letters?	5
Few-shot Named Entity Recognition: Definition, Taxonomy and Research Directions	5
Towards Fair Graph Representation Learning by Overcoming Social Homophily	5
Reducing Urban Traffic Congestion: A Road Reconstruction Framework via Graph-enhanced Large Language Models	5
Learning with Euler Collaborative Representation for Robust Pattern Analysis	5
FLAME: Self-Supervised Low-Resource Taxonomy Expansion Using Large Language Models	5
Privacy-preserving Point-of-interest Recommendation based on Simplified Graph Convolutional Network for Geological Traveling	5
Introduction to the Special Issue on Integrating Large Language Models and Knowledge Graphs for Generative AI	5
Fully Linear Graph Convolutional Networks for Semi-Supervised and Unsupervised Classification	5
Special Issue on Responsible Recommender Systems Part 1	5
Unsupervised Graph Representation Learning with Cluster-aware Self-training and Refining	5
Predicting Next Useful Location with Context-Awareness: The State-of-the-Art	5
Ideology-Based LLMs for Content Moderation	5
Integrated Image-Text Augmentation for Few-Shot Learning in Vision-Language Models	5
Federated Clique Percolation for Privacy-preserving Overlapping Community Detection	5
Semi-Supervised Crowd Counting via Swin Transformer with Adaptive Soft Threshold and Contrastive Learning	5
Foundation Model for Conditional Trajectory Generation with Unstable Context Availability	5