b'Tong Chen'

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...

0 Hechuan Wen, et al. ∙

research

∙ 09/07/2023

Learning Compact Compositional Embeddings via Regularized Pruning for Recommendation

Latent factor models are the dominant backbones of contemporary recommen...

0 Xurong Liang, et al. ∙

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...

0 Guankun Wang, et al. ∙

research

∙ 08/25/2023

Heterogeneous Decentralized Machine Unlearning with Seed Model Distillation

As some recent information security legislation endowed users with uncon...

0 Guanhua Ye, et al. ∙

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 ...

0 YI LIU, et al. ∙

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...

0 Hechen Li, et al. ∙

research

∙ 07/29/2023

Graph Condensation for Inductive Node Representation Learning

Graph neural networks (GNNs) encounter significant computational challen...

0 Xinyi Gao, et al. ∙

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...

0 Long Bai, et al. ∙

research

∙ 06/18/2023

Personalized Elastic Embedding Learning for On-Device Recommendation

To address privacy concerns and reduce network latency, there has been a...

0 Ruiqi Zheng, et al. ∙

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...

0 Shangfei Zheng, et al. ∙

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...

0 Lingzhi Wang, et al. ∙

research

∙ 05/01/2023

Explicit Knowledge Graph Reasoning for Conversational Recommendation

Traditional recommender systems estimate user preference on items purely...

0 Xuhui Ren, et al. ∙

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...

0 Xuhui Ren, et al. ∙

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 ...

0 Shangfei Zheng, et al. ∙

research

∙ 04/08/2023

Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation

As an indispensable personalized service in Location-based Social Networ...

0 Jing Long, et al. ∙

research

∙ 04/07/2023

Continuous Input Embedding Size Search For Recommender Systems

Latent factor models are the most popular backbones for today's recommen...

0 Yunke Qu, et al. ∙

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...

0 Yuting Sun, et al. ∙

research

∙ 02/27/2023

Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks

Heterogeneous graph neural networks (HGNNs) have exhibited exceptional e...

0 Xinyi Gao, et al. ∙

research

∙ 09/06/2022

XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation

Contrastive learning (CL) has recently been demonstrated critical in imp...

0 Junliang Yu, et al. ∙

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...

0 Mubashir Imran, et al. ∙

research

∙ 07/01/2022

Time-aware Dynamic Graph Embedding for Asynchronous Structural Evolution

Dynamic graphs refer to graphs whose structure dynamically changes over ...

0 Yu Yang, et al. ∙

research

∙ 06/16/2022

Reinforcement Learning-enhanced Shared-account Cross-domain Sequential Recommendation

Shared-account Cross-domain Sequential Recommendation (SCSR) is an emerg...

0 Lei Guo, et al. ∙

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...

0 Lei Guo, et al. ∙

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...

0 Guanhua Ye, et al. ∙

research

∙ 05/04/2022

Spatial-Temporal Meta-path Guided Explainable Crime Prediction

Exposure to crime and violence can harm individuals' quality of life and...

0 Yuting Sun, et al. ∙

research

∙ 04/06/2022

Thinking inside The Box: Learning Hypercube Representations for Group Recommendation

As a step beyond traditional personalized recommendation, group recommen...

0 Tong Chen, et al. ∙

research

∙ 03/30/2022

Decentralized Collaborative Learning Framework for Next POI Recommendation

Next Point-of-Interest (POI) recommendation has become an indispensable ...

0 Jing Long, et al. ∙

research

∙ 03/29/2022

Self-Supervised Learning for Recommender Systems: A Survey

Neural architecture-based recommender systems have achieved tremendous s...

0 Junliang Yu, et al. ∙

research

∙ 03/21/2022

Choosing good subsamples for regression modelling

A common problem in health research is that we have a large database wit...

0 Thomas Lumley, et al. ∙

research

∙ 01/24/2022

Unified Question Generation with Continual Lifelong Learning

Question Generation (QG), as a challenging Natural Language Processing t...

0 Wei Yuan, et al. ∙

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...

6 Mubashir Imran, et al. ∙

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...

0 Guanhua Ye, et al. ∙

research

∙ 12/16/2021

Towards Robust Neural Image Compression: Adversarial Attack and Model Finetuning

Deep neural network based image compression has been extensively studied...

5 Tong Chen, et al. ∙

research

∙ 11/30/2021

SurvODE: Extrapolating Gene Expression Distribution for Early Cancer Identification

With the increasingly available large-scale cancer genomics datasets, ma...

0 Tong Chen, et al. ∙

research

∙ 10/21/2021

PipAttack: Poisoning Federated Recommender Systems forManipulating Item Promotion

Due to the growing privacy concerns, decentralization emerges rapidly in...

0 Shijie Zhang, et al. ∙

research

∙ 10/17/2021

Localization with Sampling-Argmax

Soft-argmax operation is commonly adopted in detection-based methods to ...

0 Jiefeng Li, et al. ∙

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...

0 Bryan E. Shepherd, et al. ∙

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...

0 Yuandong Wang, et al. ∙

research

∙ 07/02/2021

Exploiting Positional Information for Session-based Recommendation

For present e-commerce platforms, session-based recommender systems are ...

0 Ruihong Qiu, et al. ∙

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...

0 Tong Chen, et al. ∙

research

∙ 06/04/2021

Learning Elastic Embeddings for Customizing On-Device Recommenders

In today's context, deploying data-driven services like recommendation o...

0 Tong Chen, et al. ∙

research

∙ 05/11/2021

Learning to Ask Appropriate Questions in Conversational Recommendation

Conversational recommender systems (CRSs) have revolutionized the conven...

17 Xuhui Ren, et al. ∙

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...

0 Lei Guo, et al. ∙

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...

0 Tong Chen, et al. ∙

research

∙ 04/04/2021

Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning

With the ubiquitous graph-structured data in various applications, model...

15 Tong Chen, et al. ∙

research

∙ 04/02/2021

Fast-adapting and Privacy-preserving Federated Recommender System

In the mobile Internet era, recommender systems have become an irreplace...

0 Qinyong Wang, et al. ∙

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...

0 Lei Guo, et al. ∙

research

∙ 01/29/2021

Graph Embedding for Recommendation against Attribute Inference Attacks

In recent years, recommender systems play a pivotal role in helping user...

0 Shijie Zhang, et al. ∙

research

∙ 01/22/2021

Knowledge Graph Completion with Text-aided Regularization

Knowledge Graph Completion is a task of expanding the knowledge graph/ba...

0 Tong Chen, et al. ∙

research

∙ 01/08/2021

FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection

Obstructive Sleep Apnea (OSA) is a highly prevalent but inconspicuous di...

0 Guanhua Ye, et al. ∙

Tong Chen

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