ACM Transactions on Intelligent Systems and Technology

Papers
(The TQCC of ACM Transactions on Intelligent Systems and Technology is 9. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-11-01 to 2025-11-01.)
ArticleCitations
Hierarchical Pruning of Deep Ensembles with Focal Diversity1504
Introduction to the Special Issue on the Federated Learning: Algorithms, Systems, and Applications: Part 1394
Popularity Bias in Correlation Graph-based API Recommendation for Mashup Creation280
Prediction for Sensor-Less Locations Using Multi-View Graph Fusion Approach with Approximation Module: A Case Study on Dengue Fever Risk Sensor253
Robust Learning under Hybrid Noise129
Improving Faithfulness and Factuality with Contrastive Learning in Explainable Recommendation119
Modeling the Chaotic Semantic States of Generative Artificial Intelligence (AI): A Quantum Mechanics Analogy Approach117
Steering-by-example for Progressive Visual Analytics113
Cross-Hierarchical Structure-Detail-Aware Transformer for Single Image Deblurring108
Evaluating Large Language Models as Virtual Annotators for Time-series Physical Sensing Data92
Deep Causal Reasoning for Recommendations88
Spectraformer: A Unified Random Feature Framework for Transformer88
Privacy Preservation for Trajectory Publication Based on Differential Privacy85
Second-order Confidence Network for Early Classification of Time Series84
Fusing Cross-Domain Knowledge from Multimodal Data to Solve Problems in the Physical World69
Towards Predicting Urban Land Use Changes: A Dynamic Graph Alignment Perspective66
Cost-aware Best Arm Identification in Stochastic Bandits66
Decentralized Online Learning: Take Benefits from Others’ Data without Sharing Your Own to Track Global Trend65
Multimodal Dialogue Systems via Capturing Context-aware Dependencies and Ordinal Information of Semantic Elements63
Counter-Samples: A Stateless Strategy to Neutralize Black-Box Adversarial Attacks54
Prompt-based Masked Language Modeling for Numerical Reasoning53
3D-Guided Frontal Face Generation for Pose-Invariant Recognition50
Discovering Causes of Traffic Congestion via Deep Transfer Clustering47
Configure Your Federation: Hierarchical Attention-enhanced Meta-Learning Network for Personalized Federated Learning43
Aspect-Enhanced Explainable Recommendation with Multi-modal Contrastive Learning39
Towards a Greener and Fairer Transportation System: A Survey of Route Recommendation Techniques37
Route Optimization via Environment-Aware Deep Network and Reinforcement Learning37
Corrigendum: An Unbiased Risk Estimator for Partial Label Learning with Augmented Classes36
PRO-MTL : Parameterized Route Optimization using Multi-Task Learning36
Cross-Region Graph Convolutional Network with Periodicity Shift Adaptation for Wide-Area SST Prediction36
Cross-User Federated Recommendation Unlearning35
VesNet: A Vessel Network for Jointly Learning Route Pattern and Future Trajectory34
How do Large Language Models understand Genes and Cells33
AEKG4APT: An AI-Enhanced Knowledge Graph for Advanced Persistent Threats with Large Language Model Analysis33
Generating Daily Activities with Need Dynamics33
Reinforcement Learning for Quantitative Trading32
Relation Constrained Capsule Graph Neural Networks for Non-Rigid Shape Correspondence32
QATCH: Automatic Evaluation of SQL-Centric Tasks on Proprietary Data31
GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual Reasoning31
A Novel Intelligent Video Surveillance System Using Low-Traffic Scene-Preserving Video Anonymization31
Introduction to the Special Issue on Intelligent Trajectory Analytics: Part I31
Adapting to My User, Engaging with My Robot: An Adaptive Affective Architecture for a Social Assistive Robot30
WC-SBERT: Zero-Shot Topic Classification Using SBERT and Light Self-Training on Wikipedia Categories30
Physics-Based Abnormal Trajectory Gap Detection28
Incorporation of Data-Mined Knowledge into Black-Box SVM for Interpretability27
SiG: A Siamese-Based Graph Convolutional Network to Align Knowledge in Autonomous Transportation Systems26
Local Edge Dynamics and Opinion Polarization26
Deep Learning Embedded into Smart Traps for Fruit Insect Pests Detection26
What Your Next Check-in Might Look Like: Next Check-in Behavior Prediction24
Auto-weighted Robust Federated Learning with Corrupted Data Sources23
Ensuring Fairness and Gradient Privacy in Personalized Heterogeneous Federated Learning23
Deep Reinforcement Learning-based Trajectory Pricing on Ride-hailing Platforms23
Grounding Foundation Models through Federated Transfer Learning: A General Framework23
Joint Structural-Functional Brain Graph Transformer23
Unsupervised Outlier Detection with Reinforced Noise Discriminator22
Federated Learning for Electronic Health Records22
The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems22
The Privacy Issue of Counterfactual Explanations: Explanation Linkage Attacks22
Demand-driven Urban Facility Visit Prediction21
REMEND: Neural Decompilation for Reverse Engineering Math Equations from Binary Executables20
Developing Time Series Forecasting Models with Generative Large Language Models20
Self-supervised Text Style Transfer Using Cycle-Consistent Adversarial Networks20
Fighting Misinformation in Health News: DCNN-CapsNet for Cross-Domain Health Misinformation Detection19
Shifting Capsule Networks from the Cloud to the Deep Edge19
Modeling Within-Basket Auxiliary Item Recommendation with Matchability and Ubiquity19
Disease Simulation in Airport Scenario Based on Individual Mobility Model19
Prior Knowledge Constrained Adaptive Graph Framework for Partial Label Learning19
Balancing Cooperation and Competition: Selfish Worker Coalition Formation in Spatial Crowdsourcing19
Hybrid Representation and Decision Fusion towards Visual-textual Sentiment19
Data-driven Targeted Advertising Recommendation System for Outdoor Billboard19
SAug: Structural Imbalance Aware Augmentation for Graph Neural Networks18
Federated Social Recommendation with Graph Neural Network18
Gray-Box Shilling Attack: An Adversarial Learning Approach18
FEIR: Quantifying and Reducing Envy and Inferiority for Fair Recommendation of Limited Resources18
Urban Computing in the Era of Large Language Models18
Dual Graph Convolution Architecture Search for Travel Time Estimation17
FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction17
DNSRF: Deep Network-based Semi-NMF Representation Framework17
MetaDetector: Meta Event Knowledge Transfer for Fake News Detection17
Reconstructing Turbulent Flows Using Spatio-temporal Physical Dynamics17
Graph Sequence Neural Network with an Attention Mechanism for Traffic Speed Prediction17
COVID-GAN+: Estimating Human Mobility Responses to COVID-19 through Spatio-temporal Generative Adversarial Networks with Enhanced Features17
Hyper-Laplacian Regularized Multi-View Clustering with Exclusive L21 Regularization and Tensor Log-Determinant Minimization Approach17
Selecting and Composing Learning Rate Policies for Deep Neural Networks16
Deep Reinforcement Learning for Parameter Tuning of Robot Visual Servoing16
A Comprehensive Survey on Multi-View Classification: Methods, Applications, and Challenges16
Exploring the Risky Travel Area and Behavior of Car-hailing Service15
Cost-sensitive Tensor-based Dual-stage Attention LSTM with Feature Selection for Data Center Server Power Forecasting15
Fairness and Bias in Algorithmic Hiring: A Multidisciplinary Survey15
Internal Rehearsals for a Reconfigurable Robot to Improve Area Coverage Performance15
Neural Topic Modeling via Discrete Variational Inference15
Query Performance Prediction Using Neural Query Space Proximity15
Asymmetrical Attention Networks Fused Autoencoder for Debiased Recommendation15
Utility-aware and Privacy-preserving Trajectory Synthesis Model that Resists Social Relationship Privacy Attacks15
Tucker Decomposition-Enhanced Dynamic Graph Convolutional Networks for Crowd Flows Prediction15
The Evaluation Framework and Benchmark for Large Language Models in the Government Affairs Domain15
Recommender System-Induced Eating Disorder Relapse: Harmful Content and the Challenges of Responsible Recommendation14
Nationwide Air Pollution Forecasting with Heterogeneous Graph Neural Networks14
POLLA: Enhancing the Local Structure Awareness in Long Sequence Spatial-temporal Modeling13
A Survey on Evaluation of Large Language Models13
Human Pose Transfer with Augmented Disentangled Feature Consistency13
Crowd Flow Prediction for Irregular Regions with Semantic Graph Attention Network13
Deep Learning Inferencing with High-performance Hardware Accelerators13
Ranking the Transferability of Adversarial Examples13
Predicting Future Locations with Semantic Trajectories13
Introduction to the Special Issue on Deep Learning for Spatio-Temporal Data: Part 213
DIRECT: Dual Interpretable Recommendation with Multi-aspect Word Attribution12
Probing the Symbolic Logical Reasoning Ability of Large Language Models12
MHGCN+: Multiplex Heterogeneous Graph Convolutional Network12
FLEE: A Hierarchical Federated Learning Framework for Distributed Deep Neural Network over Cloud, Edge, and End Device12
Cascaded Alternating Refinement Transformer for Few-shot Medical Image Segmentation12
Empowering Predictive Modeling by GAN-based Causal Information Learning12
Learning to Hash Knowledge Graph: Element-wise Rotation12
MVST: A Multi-View Spatial-Temporal Model for Fine-Grained Crime Prediction12
Robust Recommender Systems with Rating Flip Noise12
Talking-DiSSM: Enhancing Temporal Consistency in Talking Face Video Generation with Bidirectional SSMs12
Multi-agent Reinforcement Learning-based Adaptive Heterogeneous DAG Scheduling11
Cascade Transformer for Hierarchical Semantic Reasoning in Text-Based Visual Question Answering11
Retrieving Continuous-Time Event Sequences Using Neural Temporal Point Processes with Learnable Hashing11
Efficient Federated Learning Using Dynamic Update and Adaptive Pruning with Momentum on Shared Server Data11
Semi-Synchronous Federated Learning for Energy-Efficient Training and Accelerated Convergence in Cross-Silo Settings11
DeMEtRIS: Counting (near)-Cliques by Crawling11
Adaptive Intention Learning for Session-Based Recommendation11
Robust Neural Model for Searching over Incomplete Graphs11
TreeSketchNet: From Sketch to 3D Tree Parameters Generation11
A System for Automated Industrial Test Laboratory Scheduling11
Transformer Model Embedding Dual Stream for Modulation Classification of Short Signal Samples11
Recent Few-shot Object Detection Algorithms: A Survey with Performance Comparison11
Personalized Learning Path Recommendation with Time-Aware Attention-Based Reinforcement Learning11
A Bibliometric Review of Large Language Models Research from 2017 to 202311
Performance Evaluation of Aggregation-based Group Recommender Systems for Ephemeral Groups11
OptiRet-Net: An Optimized Low-Light Image Enhancement Technique for CV-Based Applications in Resource-Constrained Environments10
Improving Availability of Vertical Federated Learning: Relaxing Inference on Non-overlapping Data10
E 2 Storyline: Visualizing the Relationship with Triplet Entities and Event Discovery10
TAML: A Traffic-aware Multi-task Learning Model for Estimating Travel Time10
Quintuple-based Representation Learning for Bipartite Heterogeneous Networks10
Bayesian Strategy Networks Based Soft Actor-Critic Learning10
MedNER: Enhanced Named Entity Recognition in Medical Corpus via Optimized Balanced and Deep Active Learning10
Detecting Extreme Traffic Events Via a Context Augmented Graph Autoencoder10
CGKPN: Cross-Graph Knowledge Propagation Network with Adaptive Connection for Reasoning-Based Machine Reading Comprehension10
Question-Attentive Review-Level Explanation for Neural Rating Regression9
A Survey on Automatic Credibility Assessment Using Textual Credibility Signals in the Era of Large Language Models9
Federated Learning for Healthcare: Systematic Review and Architecture Proposal9
Exploring the Distributed Knowledge Congruence in Proxy-data-free Federated Distillation9
GPT-4V(ision) as A Social Media Analysis Engine9
Enriching Responses with Crowd-Sourced Knowledge for Task-Oriented Conversational Agents9
Multimodal Spatio-Temporal Prediction with Stochastic Adversarial Networks9
Qrowdsmith: Enhancing Paid Microtask Crowdsourcing with Gamification and Furtherance Incentives9
RenHaze: A Coarse-to-Fine Rendering Framework for Improving Robustness to Haze9
Explaining Neural News Recommendation with Attributions onto Reading Histories9
A Survey on Graph Representation Learning Methods9
Enhancing Aspect Sentiment Classification with Dual-Channel Graph Convolutional Network9
Beyond Text: Multimodal Credibility Assessment Approaches for Online User-Generated Content9
Real-time Road Network Optimization with Coordinated Reinforcement Learning9
Multivariate Correlation-aware Spatio-temporal Graph Convolutional Networks for Multi-scale Traffic Prediction9
Adversarial Attacks on Deep Reinforcement Learning-based Traffic Signal Control Systems with Colluding Vehicles9
JASRNet: Learning Joint Adaptive Sampling and Reconstruction for Depth Sensing9
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