ACM Transactions on Intelligent Systems and Technology

Article	Citations
Neural Topic Modeling via Discrete Variational Inference	348
Hierarchical Pruning of Deep Ensembles with Focal Diversity	347
Cross-Domain HAR: Few-Shot Transfer Learning for Human Activity Recognition	235
Tucker Decomposition-Enhanced Dynamic Graph Convolutional Networks for Crowd Flows Prediction	121
ONION: Online Semantic Autoencoder Hashing for Cross-Modal Retrieval	74
A Semantically Driven Hybrid Network for Unsupervised Entity Alignment	64
Deep Learning Inferencing with High-performance Hardware Accelerators	56
You Are How You Use Apps: User Profiling Based on Spatiotemporal App Usage Behavior	49
Steering-by-example for Progressive Visual Analytics	48
Utility-aware and Privacy-preserving Trajectory Synthesis Model that Resists Social Relationship Privacy Attacks	48
Trustworthy Recommender Systems	43
Preface to Federated Learning: Algorithms, Systems, and Applications: Part 2	43
Asymmetrical Attention Networks Fused Autoencoder for Debiased Recommendation	42
Integrating Algorithmic Sampling-Based Motion Planning with Learning in Autonomous Driving	40
Internal Rehearsals for a Reconfigurable Robot to Improve Area Coverage Performance	38
A Joint Entity and Relation Extraction Model based on Efficient Sampling and Explicit Interaction	35
Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges	35
Exploring the Risky Travel Area and Behavior of Car-hailing Service	33
Multiview Common Subspace Clustering via Coupled Low Rank Representation	33
Highly Efficient Traffic Planning for Autonomous Vehicles to Cross Intersections Without a Stop	29
Crowd Flow Prediction for Irregular Regions with Semantic Graph Attention Network	29
Cost-sensitive Tensor-based Dual-stage Attention LSTM with Feature Selection for Data Center Server Power Forecasting	28
ACM TIST Special Issue on Deep Learning for Spatio-Temporal Data: Part 1	27
BATS: A Spectral Biclustering Approach to Single Document Topic Modeling and Segmentation	26
Introduction to the Special Issue on the Federated Learning: Algorithms, Systems, and Applications: Part 1	25

Fairness in Recommendation: Foundations, Methods, and Applications	24
Inferring Real Mobility in Presence of Fake Check-ins Data	23
Introduction to the Special Issue on Intelligent Trajectory Analytics: Part II	22
Self-supervised Bipartite Graph Representation Learning: A Dirichlet Max-margin Matrix Factorization Approach	22
Privacy-preserving Collaborative Filtering by Distributed Mediation	21
Balanced Quality Score: Measuring Popularity Debiasing in Recommendation	21
MC 2 : Unsupervised Multiple Social Network Alignment	20
Second-order Confidence Network for Early Classification of Time Series	20
Isomorphic Graph Embedding for Progressive Maximal Frequent Subgraph Mining	20
One-step Multi-view Clustering with Consensus Graph and Data Representation Convolution	19
STExplorer: A Hierarchical Autonomous Exploration Strategy with Spatio-temporal Awareness for Aerial Robots	18
Improved Fake Reviews Detection Model Based on Vertical Ensemble Tri-Training and Active Learning	18
Causal Discovery with Confounding Cascade Nonlinear Additive Noise Models	18
Nationwide Air Pollution Forecasting with Heterogeneous Graph Neural Networks	18
From Representation to Response: Assessing the Alignment of Large Language Models with Human Judgment Patterns	17
Multiple-Instance Learning from Pairwise Comparison Bags	17
Detecting Misinformation on Social Media Using Community Insights and Contrastive Learning	17
Federated Learning for Personalized Humor Recognition	17
Robust Learning under Hybrid Noise	16
Improving Faithfulness and Factuality with Contrastive Learning in Explainable Recommendation	16
Predicting the occurrence of respiratory diseases based on campus indoor air quality	16
Popularity Bias in Correlation Graph-based API Recommendation for Mashup Creation	16
Origin-Aware Location Prediction Based on Historical Vehicle Trajectories	15
Instant Basketball Defensive Trajectory Generation	14
Saliency Attack: Towards Imperceptible Black-box Adversarial Attack	14
Quantized Adam with Error Feedback	13
Mobility Inference on Long-Tailed Sparse Trajectory	13
POLLA: Enhancing the Local Structure Awareness in Long Sequence Spatial-temporal Modeling	13
Deep Causal Reasoning for Recommendations	12
Predicting Future Locations with Semantic Trajectories	12
Robust Structure-Aware Graph-based Semi-Supervised Learning: Batch and Recursive Processing	12
Evolving Knowledge Graph Representation Learning with Multiple Attention Strategies for Citation Recommendation System	12
FedCMD: A Federated Cross-modal Knowledge Distillation for Drivers’ Emotion Recognition	12
A Review on Source Code Documentation	12
Dynamic Weights and Prior Reward in Policy Fusion for Compound Agent Learning	11
An Attentive Survey of Attention Models	11
Cross-Silo Federated Learning for Multi-Tier Networks with Vertical and Horizontal Data Partitioning	11
INN: An Interpretable Neural Network for AI Incubation in Manufacturing	11
Recommender System-Induced Eating Disorder Relapse: Harmful Content and the Challenges of Responsible Recommendation	11
Mitigating Recommendation Biases via Group-Alignment and Global-Uniformity in Representation Learning	11
Privacy Preservation for Trajectory Publication Based on Differential Privacy	11
A Survey on Evaluation of Large Language Models	11
BeGin: Extensive Benchmark Scenarios and an Easy-to-use Framework for Graph Continual Learning	10
ReuseKNN: Neighborhood Reuse for Differentially Private KNN-Based Recommendations	10
Dynamic Probabilistic Graphical Model for Progressive Fake News Detection on Social Media Platform	10
Fairness and Bias in Algorithmic Hiring: A Multidisciplinary Survey	10
Predicting Citywide Crowd Dynamics at Big Events: A Deep Learning System	10
Spatio-temporal Graph Learning for Epidemic Prediction	10
Doing More with Less: Overcoming Data Scarcity for POI Recommendation via Cross-Region Transfer	10
Multimodal Dialogue Systems via Capturing Context-aware Dependencies and Ordinal Information of Semantic Elements	9

Neural Architectures for Feature Embedding in Person Re-Identification: A Comparative View	9
Efficiently Gluing Pre-Trained Language and Vision Models for Image Captioning	9
Optimizing Privacy, Utility, and Efficiency in a Constrained Multi-Objective Federated Learning Framework	9
Decentralized Online Learning: Take Benefits from Others’ Data without Sharing Your Own to Track Global Trend	9
Reinforced Explainable Knowledge Concept Recommendation in MOOCs	9
Evaluating Large Language Models as Virtual Annotators for Time-series Physical Sensing Data	9
Beware of Words: Evaluating the Lexical Diversity of Conversational LLMs using ChatGPT as Case Study	9
Learning Privacy-Preserving Embeddings for Image Data to Be Published	9
The Social Cognition Ability Evaluation of LLMs: A Dynamic Gamified Assessment and Hierarchical Social Learning Measurement Approach	9
A Comprehensive Survey on Model Quantization for Deep Neural Networks in Image Classification	9
Analysing the Predictability of Language Model Performance	9
Adversarial Missingness Attacks on Causal Structure Learning	9
MHANER: A Multi-source Heterogeneous Graph Attention Network for Explainable Recommendation in Online Games	8
Towards a Greener and Fairer Transportation System: A Survey of Route Recommendation Techniques	8
Aspect-Aware Response Generation for Multimodal Dialogue System	8
Introduction to the Special Issue on Deep Learning for Spatio-Temporal Data: Part 2	8
“In-Network Ensemble”: Deep Ensemble Learning with Diversified Knowledge Distillation	8
Overcoming Diverse Undesired Effects in Recommender Systems: A Deontological Approach	8
A Foraging Strategy with Risk Response for Individual Robots in Adversarial Environments	8
Human Pose Transfer with Augmented Disentangled Feature Consistency	8
Memory Network-Based Interpreter of User Preferences in Content-Aware Recommender Systems	8
Identifying Illicit Drug Dealers on Instagram with Large-scale Multimodal Data Fusion	8
Dynamic Planning of Bicycle Stations in Dockless Public Bicycle-sharing System Using Gated Graph Neural Network	8
Reinforcement Learning for Solving Multiple Vehicle Routing Problem with Time Window	7
Fully Linear Graph Convolutional Networks for Semi-Supervised and Unsupervised Classification	7
CACTUS: A Comprehensive Abstraction and Classification Tool for Uncovering Structures	7
MGRL4RE: A Multi-Graph Representation Learning Approach for Urban Region Embedding	7
Adaptive Integration of Categorical and Multi-relational Ontologies with EHR Data for Medical Concept Embedding	7
A Dynamic Convolutional Neural Network Based Shared-Bike Demand Forecasting Model	7
Privacy-preserving Point-of-interest Recommendation based on Simplified Graph Convolutional Network for Geological Traveling	7
Discovering Expert-Level Air Combat Knowledge via Deep Excitatory-Inhibitory Factorized Reinforcement Learning	7
Cost-aware Best Arm Identification in Stochastic Bandits	7
Significant DBSCAN+: Statistically Robust Density-based Clustering	7
Route Optimization via Environment-Aware Deep Network and Reinforcement Learning	7
Multi-aspect Understanding with Cooperative Graph Attention Networks for Medical Dialogue Information Extraction	7
Towards Predicting Urban Land Use Changes: A Dynamic Graph Alignment Perspective	7
Aspect-Enhanced Explainable Recommendation with Multi-modal Contrastive Learning	7
Teacher-Student Framework for Polyphonic Semi-supervised Sound Event Detection: Survey and Empirical Analysis	6
Active Learning for Effectively Fine-Tuning Transfer Learning to Downstream Task	6
KOMPOS: Connecting Causal Knots in Large Nonlinear Time Series with Non-Parametric Regression Splines	6
Configure Your Federation: Hierarchical Attention-enhanced Meta-Learning Network for Personalized Federated Learning	6
Efficient and Effective Similar Subtrajectory Search: A Spatial-aware Comprehension Approach	6
Exploring Structure Incentive Domain Adversarial Learning for Generalizable Sleep Stage Classification	6
DIRECT: Dual Interpretable Recommendation with Multi-aspect Word Attribution	6
Discovering Causes of Traffic Congestion via Deep Transfer Clustering	6
Federated Clique Percolation for Privacy-preserving Overlapping Community Detection	6
Special Issue on Responsible Recommender Systems Part 1	6
Empowering Predictive Modeling by GAN-based Causal Information Learning	6
Misinformation Resilient Search Rankings with Webgraph-Based Interventions	6
Contrastive Learning Models for Sentence Representations	6
Obfuscating the Dataset: Impacts and Applications	6
Advancing Session-Based Recommendations with Atten-Mixer+: Dynamic and Adaptive Multi-Level Intent Mining	6
RANGO: A Novel Deep Learning Approach to Detect Drones Disguising from Video Surveillance Systems	6
Robust Dimensionality Reduction via Low-rank Laplacian Graph Learning	6
3D-Guided Frontal Face Generation for Pose-Invariant Recognition	6
GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning	6
Redundant Label Learning via Subspace Representation and Global Disambiguation	6
M2SKD: Multi-to-Single Knowledge Distillation of Real-Time Epileptic Seizure Detection for Low-Power Wearable Systems	6
Biomedical Information Retrieval with Positive-Unlabeled Learning and Knowledge Graphs	5
FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings	5
Robust Recommender Systems with Rating Flip Noise	5
Federated Momentum Contrastive Clustering	5
Learning Representations of Satellite Imagery by Leveraging Point-of-Interests	5
Cascaded Alternating Refinement Transformer for Few-shot Medical Image Segmentation	5
FLEE: A Hierarchical Federated Learning Framework for Distributed Deep Neural Network over Cloud, Edge, and End Device	5
Online Spatial-Temporal EV Charging Scheduling with Incentive Promotion	5
Classi-Fly: Inferring Aircraft Categories from Open Data	5
Multimodal Large Language Model with LoRA Fine-Tuning for Multimodal Sentiment Analysis	5
Gradient-Based Adversarial Training on Transformer Networks for Detecting Check-Worthy Factual Claims	5
Towards Query-Efficient Black-Box Attacks: A Universal Dual Transferability-Based Framework	5
Ranking the Transferability of Adversarial Examples	5
MHGCN+: Multiplex Heterogeneous Graph Convolutional Network	5
Credit Card Fraud Detection via Intelligent Sampling and Self-supervised Learning	5
Counterfactual Explainer for Deep Reinforcement Learning Models Using Policy Distillation	5
An Unbiased Risk Estimator for Partial Label Learning with Augmented Classes	5
KGDA: A Knowledge Graph Driven Decomposition Approach for Cellular Traffic Prediction	5
Self-Adaptive Feature Transformation Networks for Object Detection in low luminance Images	5
FLAME: Self-Supervised Low-Resource Taxonomy Expansion Using Large Language Models	5
Concept Drift Adaptation in Text Stream Mining Settings: A Systematic Review	4
Efficient Federated Matrix Factorization Against Inference Attacks	4

Hierarchical Multi-agent Model for Reinforced Medical Resource Allocation with Imperfect Information	4
Multi-agent Reinforcement Learning-based Adaptive Heterogeneous DAG Scheduling	4
TreeSketchNet: From Sketch to 3D Tree Parameters Generation	4
Impact of Driving Behavior on Commuter’s Comfort During Cab Rides: Towards a New Perspective of Driver Rating	4
Enough Waiting for the Couriers: Learning to Estimate Package Pick-up Arrival Time from Couriers’ Spatial-Temporal Behaviors	4
Enabling Graph Neural Networks for Semi-Supervised Risk Prediction in Online Credit Loan Services	4
Temporal Implicit Multimodal Networks for Investment and Risk Management	4
Adaptive Intention Learning for Session-based Recommendation	4
Reinforcement Learning for Quantitative Trading	4
A Comprehensive Survey of the Key Technologies and Challenges Surrounding Vehicular Ad Hoc Networks	4
MetaStore: A Task-adaptative Meta-learning Model for Optimal Store Placement with Multi-city Knowledge Transfer	4
D e ME t RIS: Counting (near)-Cliques by Crawling	4
Deep Spatio-temporal Adaptive 3D Convolutional Neural Networks for Traffic Flow Prediction	4
Learning with Euler Collaborative Representation for Robust Pattern Analysis	4
Empirical Review of Various Thermography-based Computer-aided Diagnostic Systems for Multiple Diseases	4
Model-Free Deep Reinforcement Learning for Adaptive Supply Temperature Control in Collective Space Heating Systems	4
Few-shot Named Entity Recognition: Definition, Taxonomy and Research Directions	4
A Comprehensive Approach to On-board Autonomy Verification and Validation	4
Attentive Excitation and Aggregation for Bilingual Referring Image Segmentation	4
Unsupervised Graph Representation Learning with Cluster-aware Self-training and Refining	4
Conditional Text Generation for Harmonious Human-Machine Interaction	4
“Intelligent Heuristics Are the Future of Computing”	4
Improving Action Recognition via Temporal and Complementary Learning	3
Make More Connections: Urban Traffic Flow Forecasting with Spatiotemporal Adaptive Gated Graph Convolution Network	3
T-Distributed Stochastic Neighbor Embedding for Co-Representation Learning	3
Quantifying Levels of Influence and Causal Responsibility in Dynamic Decision Making Events	3
StarFL: Hybrid Federated Learning Architecture for Smart Urban Computing	3
Recent Few-shot Object Detection Algorithms: A Survey with Performance Comparison	3
Fair Projections as a Means toward Balanced Recommendations	3
Fine-grained Courier Delivery Behavior Recovery with a Digital Twin Based Iterative Calibration Framework	3
A Bibliometric Review of Large Language Models Research from 2017 to 2023	3
DeepRoute+: Modeling Couriers’ Spatial-temporal Behaviors and Decision Preferences for Package Pick-up Route Prediction	3
How do Large Language Models understand Genes and Cells	3
Industrial Federated Topic Modeling	3
Reinforced PU-learning with Hybrid Negative Sampling Strategies for Recommendation	3
Weakly Supervised Spatial Deep Learning for Earth Image Segmentation Based on Imperfect Polyline Labels	3
PSDF: Privacy-aware IoV Service Deployment with Federated Learning in Cloud-Edge Computing	3
Mitigating the Impact of Inaccurate Feedback in Dynamic Learning-to-Rank: A Study of Overlooked Interesting Items	3
Addressing Data Challenges to Drive the Transformation of Smart Cities	3
PerFedRec++: Enhancing Personalized Federated Recommendation with Self-Supervised Pre-Training	3
GRNN: Generative Regression Neural Network—A Data Leakage Attack for Federated Learning	3
A Comprehensive Survey of Grammatical Error Correction	3
Local Self-attention-based Hybrid Multiple Instance Learning for Partial Spoof Speech Detection	3
Tapestry of Time and Actions: Modeling Human Activity Sequences Using Temporal Point Process Flows	3
Semi-Synchronous Federated Learning for Energy-Efficient Training and Accelerated Convergence in Cross-Silo Settings	3
Ontology-Based Driving Simulation for Traffic Lights Optimization	3
Responsible Recommendation Services with Blockchain Empowered Asynchronous Federated Learning	3
VesNet: A Vessel Network for Jointly Learning Route Pattern and Future Trajectory	3
MaNIACS : Approximate Mining of Frequent Subgraph Patterns through Sampling	3
Strengthening Cooperative Consensus in Multi-Robot Confrontation	3
Communication-Efficient Federated Learning with Adaptive Quantization	3
Generating Daily Activities with Need Dynamics	3
A Game-theoretic Framework for Privacy-preserving Federated Learning	3
Reinforcement Learning for Adaptive Video Compressive Sensing	2
Integrated Image-Text Augmentation for Few-Shot Learning in Vision-Language Models	2
EMG-Based Automatic Gesture Recognition Using Lipschitz-Regularized Neural Networks	2
MGRR-Net: Multi-level Graph Relational Reasoning Network for Facial Action Unit Detection	2
Improving Availability of Vertical Federated Learning: Relaxing Inference on Non-overlapping Data	2
SiG: A Siamese-Based Graph Convolutional Network to Align Knowledge in Autonomous Transportation Systems	2
Defending against Poisoning Backdoor Attacks on Federated Meta-learning	2
Traveling Transporter Problem: Arranging a New Circular Route in a Public Transportation System Based on Heterogeneous Non-Monotonic Urban Data	2
UrbanKG: An Urban Knowledge Graph System	2
Adversarial Learning for Cross Domain Recommendations	2
Mining Willing-to-Pay Behavior Patterns from Payment Datasets	2
Incremental Data Drifting: Evaluation Metrics, Data Generation, and Approach Comparison	2
Real-time Road Network Optimization with Coordinated Reinforcement Learning	2
Retrieving Continuous Time Event Sequences using Neural Temporal Point Processes with Learnable Hashing	2
Customer Volume Prediction Using Fusion of Shared-private Dynamic Weighting over Multiple Modalities	2
Causal Mechanism Transfer Network for Time Series Domain Adaptation in Mechanical Systems	2
MVST: A Multi-View Spatial-Temporal Model for Fine-Grained Crime Prediction	2
Toward Scalable and Privacy-preserving Deep Neural Network via Algorithmic-Cryptographic Co-design	2
Parallel Connected LSTM for Matrix Sequence Prediction with Elusive Correlations	2
Mining Customers’ Changeable Electricity Consumption for Effective Load Forecasting	2
Source-free Unsupervised Domain Adaptation with Trusted Pseudo Samples	2
E 2 Storyline: Visualizing the Relationship with Triplet Entities and Event Discovery	2
Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation	2
The Privacy Issue of Counterfactual Explanations: Explanation Linkage Attacks	2
Fairness-Driven Private Collaborative Machine Learning	2
Introduction to the Special Issue on Intelligent Trajectory Analytics: Part I	2
What Your Next Check-in Might Look Like: Next Check-in Behavior Prediction	2
Modeling Customer Experience in a Contact Center through Process Log Mining	2
FedBERT: When Federated Learning Meets Pre-training	2
Reasoning Abilities of Large Language Models: In-Depth Analysis on the Abstraction and Reasoning Corpus	2
Passenger Mobility Prediction via Representation Learning for Dynamic Directed and Weighted Graphs	2
Ensuring Fairness and Gradient Privacy in Personalized Heterogeneous Federated Learning	2
Detecting and Analyzing Collusive Entities on YouTube	2
Argument Schemes and a Dialogue System for Explainable Planning	2
Quintuple-based Representation Learning for Bipartite Heterogeneous Networks	2
Bayesian Strategy Networks Based Soft Actor-Critic Learning	2
Federated Dynamic Graph Neural Networks with Secure Aggregation for Video-based Distributed Surveillance	2
Advancing Attribution-Based Neural Network Explainability through Relative Absolute Magnitude Layer-Wise Relevance Propagation and Multi-Component Evaluation	2
Nova : Value-based Negotiation of Norms	2
An Uncertainty-based Neural Network for Explainable Trajectory Segmentation	2
TS-Fastformer: Fast Transformer for Time-series Forecasting	2
Algorithms for Trajectory Points Clustering in Location-based Social Networks	2