b'Tong Chen'

research

∙ 07/01/2022

Time-aware Dynamic Graph Embedding for Asynchronous Structural Evolution

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

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...

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...

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...

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...

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...

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 ...

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...

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...

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...

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...

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...

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...

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...

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...

Shijie Zhang, et al. ∙

research

∙ 10/17/2021

Localization with Sampling-Argmax

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

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...

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...

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 ...

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...

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...

Tong Chen, et al. ∙

research

∙ 05/11/2021

Learning to Ask Appropriate Questions in Conversational Recommendation

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

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...

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...

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...

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...

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...

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...

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...

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...

Guanhua Ye, et al. ∙

research

∙ 01/04/2021

Passenger Mobility Prediction via Representation Learning for Dynamic Directed and Weighted Graph

In recent years, ride-hailing services have been increasingly prevalent ...

Yuandong Wang, et al. ∙

research

∙ 12/01/2020

Decomposition, Compression, and Synthesis (DCS)-based Video Coding: A Neural Exploration via Resolution-Adaptive Learning

Inspired by the facts that retinal cells actually segregate the visual s...

Ming Lu, et al. ∙

research

∙ 09/19/2020

Recognizing Micro-expression in Video Clip with Adaptive Key-frame Mining

As a spontaneous expression of emotion on face, micro-expression is rece...

Min Peng, et al. ∙

research

∙ 08/19/2020

Compiling ONNX Neural Network Models Using MLIR

Deep neural network models are becoming increasingly popular and have be...

Tian Jin, et al. ∙

research

∙ 07/06/2020

GAG: Global Attributed Graph Neural Network for Streaming Session-based Recommendation

Streaming session-based recommendation (SSR) is a challenging task that ...

Qiu Ruihong, et al. ∙

research

∙ 06/02/2020

Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction

Cross-platform account matching plays a significant role in social netwo...

Hongxu Chen, et al. ∙

research

∙ 05/28/2020

Optimal multi-wave sampling for regression modelling in two-phase designs

Two-phase designs involve measuring extra variables on a subset of the c...

Tong Chen, et al. ∙

research

∙ 05/20/2020

GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection

In recent years, recommender system has become an indispensable function...

Shijie Zhang, et al. ∙

research

∙ 05/19/2020

Try This Instead: Personalized and Interpretable Substitute Recommendation

As a fundamental yet significant process in personalized recommendation,...

Tong Chen, et al. ∙

research

∙ 02/10/2020

Polynomial Optimization for Bounding Lipschitz Constants of Deep Networks

The Lipschitz constant of a network plays an important role in many appl...

Tong Chen, et al. ∙

research

∙ 12/13/2019

Learned Video Compression via Joint Spatial-Temporal Correlation Exploration

Traditional video compression technologies have been developed over deca...

Haojie Liu, et al. ∙

research

∙ 11/07/2019

Sequence-Aware Factorization Machines for Temporal Predictive Analytics

In various web applications like targeted advertising and recommender sy...

Tong Chen, et al. ∙

research

∙ 09/26/2019

Learned Point Cloud Geometry Compression

This paper presents a novel end-to-end Learned Point Cloud Geometry Comp...

Jianqiang Wang, et al. ∙

research

∙ 08/31/2019

Collaborative Policy Learning for Open Knowledge Graph Reasoning

In recent years, there has been a surge of interests in interpretable gr...

Cong Fu, et al. ∙

research

∙ 05/09/2019

Bidirectional RNN-based Few-shot Training for Detecting Multi-stage Attack

"Feint Attack", as a new type of APT attack, has become the focus of att...

Di Zhao, et al. ∙

research

∙ 04/22/2019

Non-local Attention Optimized Deep Image Compression

This paper proposes a novel Non-Local Attention Optimized Deep Image Com...

Haojie Liu, et al. ∙

research

∙ 04/08/2019

Extreme Image Compression via Multiscale Autoencoders With Generative Adversarial Optimization

We propose a MultiScale AutoEncoder(MSAE) based extreme image compressio...

Chao Huang, et al. ∙

research

∙ 04/07/2019

A Novel Apex-Time Network for Cross-Dataset Micro-Expression Recognition

The automatic recognition of micro-expression has been boosted ever sinc...

Min Peng, et al. ∙

research

∙ 03/29/2019

Using Structured Input and Modularity for Improved Learning

We describe a method for utilizing the known structure of input data to ...

Zehra Sura, et al. ∙

research

∙ 11/06/2018

Micro-Attention for Micro-Expression recognition

Micro-expression, for its high objectivity in emotion detection, has eme...

Chongyang Wang, et al. ∙

Tong Chen

Featured Co-authors