research
∙
09/15/2023
To Predict or to Reject: Causal Effect Estimation with Uncertainty on Networked Data
Due to the imbalanced nature of networked observational data, the causal...
share
research
∙
09/07/2023
Learning Compact Compositional Embeddings via Regularized Pruning for Recommendation
Latent factor models are the dominant backbones of contemporary recommen...
research
∙
08/27/2023
Rethinking Exemplars for Continual Semantic Segmentation in Endoscopy Scenes: Entropy-based Mini-Batch Pseudo-Replay
Endoscopy is a widely used technique for the early detection of diseases...
research
∙
08/25/2023
Heterogeneous Decentralized Machine Unlearning with Seed Model Distillation
As some recent information security legislation endowed users with uncon...
research
∙
08/15/2023
Self-Supervised Dynamic Hypergraph Recommendation based on Hyper-Relational Knowledge Graph
Knowledge graphs (KGs) are commonly used as side information to enhance ...
research
∙
08/05/2023
Semi-supervised Learning for Segmentation of Bleeding Regions in Video Capsule Endoscopy
In the realm of modern diagnostic technology, video capsule endoscopy (V...
research
∙
07/29/2023
Graph Condensation for Inductive Node Representation Learning
Graph neural networks (GNNs) encounter significant computational challen...
research
∙
07/05/2023
LLCaps: Learning to Illuminate Low-Light Capsule Endoscopy with Curved Wavelet Attention and Reverse Diffusion
Wireless capsule endoscopy (WCE) is a painless and non-invasive diagnost...
research
∙
06/18/2023
Personalized Elastic Embedding Learning for On-Device Recommendation
To address privacy concerns and reduce network latency, there has been a...
research
∙
06/17/2023
Do as I can, not as I get: Topology-aware multi-hop reasoning on multi-modal knowledge graphs
Multi-modal knowledge graph (MKG) includes triplets that consist of enti...
research
∙
05/11/2023
KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment
Recent legislation of the "right to be forgotten" has led to the interes...
research
∙
05/01/2023
Explicit Knowledge Graph Reasoning for Conversational Recommendation
Traditional recommender systems estimate user preference on items purely...
research
∙
04/24/2023
Joint Semantic and Structural Representation Learning for Enhancing User Preference Modelling
Knowledge graphs (KGs) have become important auxiliary information for h...
research
∙
04/08/2023
DREAM: Adaptive Reinforcement Learning based on Attention Mechanism for Temporal Knowledge Graph Reasoning
Temporal knowledge graphs (TKGs) model the temporal evolution of events ...
research
∙
04/08/2023
Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation
As an indispensable personalized service in Location-based Social Networ...
research
∙
04/07/2023
Continuous Input Embedding Size Search For Recommender Systems
Latent factor models are the most popular backbones for today's recommen...
research
∙
03/07/2023
TinyAD: Memory-efficient anomaly detection for time series data in Industrial IoT
Monitoring and detecting abnormal events in cyber-physical systems is cr...
research
∙
02/27/2023
Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks
Heterogeneous graph neural networks (HGNNs) have exhibited exceptional e...
research
∙
09/06/2022
XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation
Contrastive learning (CL) has recently been demonstrated critical in imp...
research
∙
07/28/2022
ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences
Owing to its nature of scalability and privacy by design, federated lear...
research
∙
07/01/2022
Time-aware Dynamic Graph Embedding for Asynchronous Structural Evolution
Dynamic graphs refer to graphs whose structure dynamically changes over ...
research
∙
06/16/2022
Reinforcement Learning-enhanced Shared-account Cross-domain Sequential Recommendation
Shared-account Cross-domain Sequential Recommendation (SCSR) is an emerg...
research
∙
06/16/2022
Time Interval-enhanced Graph Neural Network for Shared-account Cross-domain Sequential Recommendation
Shared-account Cross-domain Sequential Recommendation (SCSR) task aims t...
research
∙
05/27/2022
A Decentralized Collaborative Learning Framework Across Heterogeneous Devices for Personalized Predictive Analytics
In this paper, we propose a Similarity-based Decentralized Knowledge Dis...
research
∙
05/04/2022
Spatial-Temporal Meta-path Guided Explainable Crime Prediction
Exposure to crime and violence can harm individuals' quality of life and...
research
∙
04/06/2022
Thinking inside The Box: Learning Hypercube Representations for Group Recommendation
As a step beyond traditional personalized recommendation, group recommen...
research
∙
03/30/2022
Decentralized Collaborative Learning Framework for Next POI Recommendation
Next Point-of-Interest (POI) recommendation has become an indispensable ...
research
∙
03/29/2022
Self-Supervised Learning for Recommender Systems: A Survey
Neural architecture-based recommender systems have achieved tremendous s...
research
∙
03/21/2022
Choosing good subsamples for regression modelling
A common problem in health research is that we have a large database wit...
research
∙
01/24/2022
Unified Question Generation with Continual Lifelong Learning
Question Generation (QG), as a challenging Natural Language Processing t...
research
∙
01/08/2022
DeHIN: A Decentralized Framework for Embedding Large-scale Heterogeneous Information Networks
Modeling heterogeneity by extraction and exploitation of high-order info...
research
∙
12/17/2021
Personalized On-Device E-health Analytics with Decentralized Block Coordinate Descent
Actuated by the growing attention to personal healthcare and the pandemi...
research
∙
12/16/2021
Towards Robust Neural Image Compression: Adversarial Attack and Model Finetuning
Deep neural network based image compression has been extensively studied...
research
∙
11/30/2021
SurvODE: Extrapolating Gene Expression Distribution for Early Cancer Identification
With the increasingly available large-scale cancer genomics datasets, ma...
research
∙
10/21/2021
PipAttack: Poisoning Federated Recommender Systems forManipulating Item Promotion
Due to the growing privacy concerns, decentralization emerges rapidly in...
research
∙
10/17/2021
Localization with Sampling-Argmax
Soft-argmax operation is commonly adopted in detection-based methods to ...
research
∙
09/28/2021
Analysis of Error-prone Electronic Health Records with Multi-wave Validation Sampling: Association of Maternal Weight Gain during Pregnancy with Childhood Outcomes
Electronic health record (EHR) data are increasingly used for biomedical...
research
∙
09/14/2021
Secure Your Ride: Real-time Matching Success Rate Prediction for Passenger-Driver Pairs
In recent years, online ride-hailing platforms have become an indispensa...
research
∙
07/02/2021
Exploiting Positional Information for Session-based Recommendation
For present e-commerce platforms, session-based recommender systems are ...
research
∙
06/16/2021
Optimal sampling for design-based estimators of regression models
Two-phase designs measure variables of interest on a subcohort where the...
research
∙
06/04/2021
Learning Elastic Embeddings for Customizing On-Device Recommenders
In today's context, deploying data-driven services like recommendation o...
research
∙
05/11/2021
Learning to Ask Appropriate Questions in Conversational Recommendation
Conversational recommender systems (CRSs) have revolutionized the conven...
research
∙
05/07/2021
DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation
Shared-account Cross-domain Sequential recommendation (SCSR) is the task...
research
∙
04/05/2021
Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modelling
As a well-established approach, factorization machine (FM) is capable of...
research
∙
04/04/2021
Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning
With the ubiquitous graph-structured data in various applications, model...
research
∙
04/02/2021
Fast-adapting and Privacy-preserving Federated Recommender System
In the mobile Internet era, recommender systems have become an irreplace...
research
∙
03/24/2021
Hierarchical Hyperedge Embedding-based Representation Learning for Group Recommendation
In this work, we study group recommendation in a particular scenario, na...
research
∙
01/29/2021
Graph Embedding for Recommendation against Attribute Inference Attacks
In recent years, recommender systems play a pivotal role in helping user...
research
∙
01/22/2021
Knowledge Graph Completion with Text-aided Regularization
Knowledge Graph Completion is a task of expanding the knowledge graph/ba...
research
∙
01/08/2021