b'Tong Chen'

Optimal sampling for design-based estimators of regression models

Two-phase designs measure variables of interest on a subcohort where the...
06/16/2021 ∙ by Tong Chen, et al. ∙ 0 ∙ share

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Learning Elastic Embeddings for Customizing On-Device Recommenders

In today's context, deploying data-driven services like recommendation o...
06/04/2021 ∙ by Tong Chen, et al. ∙ 0 ∙ share

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Learning to Ask Appropriate Questions in Conversational Recommendation

Conversational recommender systems (CRSs) have revolutionized the conven...
05/11/2021 ∙ by Xuhui Ren, et al. ∙ 17 ∙ share

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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...
05/07/2021 ∙ by Lei Guo, et al. ∙ 0 ∙ share

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Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modelling

As a well-established approach, factorization machine (FM) is capable of...
04/05/2021 ∙ by Tong Chen, et al. ∙ 0 ∙ share

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Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning

With the ubiquitous graph-structured data in various applications, model...
04/04/2021 ∙ by Tong Chen, et al. ∙ 15 ∙ share

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Fast-adapting and Privacy-preserving Federated Recommender System

In the mobile Internet era, recommender systems have become an irreplace...
04/02/2021 ∙ by Qinyong Wang, et al. ∙ 0 ∙ share

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Hierarchical Hyperedge Embedding-based Representation Learning for Group Recommendation

In this work, we study group recommendation in a particular scenario, na...
03/24/2021 ∙ by Lei Guo, et al. ∙ 0 ∙ share

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Graph Embedding for Recommendation against Attribute Inference Attacks

In recent years, recommender systems play a pivotal role in helping user...
01/29/2021 ∙ by Shijie Zhang, et al. ∙ 0 ∙ share

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Knowledge Graph Completion with Text-aided Regularization

Knowledge Graph Completion is a task of expanding the knowledge graph/ba...
01/22/2021 ∙ by Tong Chen, et al. ∙ 0 ∙ share

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FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection

Obstructive Sleep Apnea (OSA) is a highly prevalent but inconspicuous di...
01/08/2021 ∙ by Guanhua Ye, et al. ∙ 0 ∙ share

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

In recent years, ride-hailing services have been increasingly prevalent ...
01/04/2021 ∙ by Yuandong Wang, et al. ∙ 14 ∙ share

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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...
12/01/2020 ∙ by Ming Lu, et al. ∙ 0 ∙ share

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

As a spontaneous expression of emotion on face, micro-expression is rece...
09/19/2020 ∙ by Min Peng, et al. ∙ 13 ∙ share

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Compiling ONNX Neural Network Models Using MLIR

Deep neural network models are becoming increasingly popular and have be...
08/19/2020 ∙ by Tian Jin, et al. ∙ 0 ∙ share

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

Streaming session-based recommendation (SSR) is a challenging task that ...
07/06/2020 ∙ by Qiu Ruihong, et al. ∙ 0 ∙ share

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

Cross-platform account matching plays a significant role in social netwo...
06/02/2020 ∙ by Hongxu Chen, et al. ∙ 0 ∙ share

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

Two-phase designs involve measuring extra variables on a subset of the c...
05/28/2020 ∙ by Tong Chen, et al. ∙ 0 ∙ share

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

In recent years, recommender system has become an indispensable function...
05/20/2020 ∙ by Shijie Zhang, et al. ∙ 0 ∙ share

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Try This Instead: Personalized and Interpretable Substitute Recommendation

As a fundamental yet significant process in personalized recommendation,...
05/19/2020 ∙ by Tong Chen, et al. ∙ 0 ∙ share

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Polynomial Optimization for Bounding Lipschitz Constants of Deep Networks

The Lipschitz constant of a network plays an important role in many appl...
02/10/2020 ∙ by Tong Chen, et al. ∙ 0 ∙ share

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Learned Video Compression via Joint Spatial-Temporal Correlation Exploration

Traditional video compression technologies have been developed over deca...
12/13/2019 ∙ by Haojie Liu, et al. ∙ 20 ∙ share

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Sequence-Aware Factorization Machines for Temporal Predictive Analytics

In various web applications like targeted advertising and recommender sy...
11/07/2019 ∙ by Tong Chen, et al. ∙ 0 ∙ share

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Learned Point Cloud Geometry Compression

This paper presents a novel end-to-end Learned Point Cloud Geometry Comp...
09/26/2019 ∙ by Jianqiang Wang, et al. ∙ 19 ∙ share

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Collaborative Policy Learning for Open Knowledge Graph Reasoning

In recent years, there has been a surge of interests in interpretable gr...
08/31/2019 ∙ by Cong Fu, et al. ∙ 19 ∙ share

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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...
05/09/2019 ∙ by Di Zhao, et al. ∙ 0 ∙ share

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Non-local Attention Optimized Deep Image Compression

This paper proposes a novel Non-Local Attention Optimized Deep Image Com...
04/22/2019 ∙ by Haojie Liu, et al. ∙ 0 ∙ share

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Extreme Image Compression via Multiscale Autoencoders With Generative Adversarial Optimization

We propose a MultiScale AutoEncoder(MSAE) based extreme image compressio...
04/08/2019 ∙ by Chao Huang, et al. ∙ 0 ∙ share

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

The automatic recognition of micro-expression has been boosted ever sinc...
04/07/2019 ∙ by Min Peng, et al. ∙ 0 ∙ share

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Using Structured Input and Modularity for Improved Learning

We describe a method for utilizing the known structure of input data to ...
03/29/2019 ∙ by Zehra Sura, et al. ∙ 0 ∙ share

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Micro-Attention for Micro-Expression recognition

Micro-expression, for its high objectivity in emotion detection, has eme...
11/06/2018 ∙ by Chongyang Wang, et al. ∙ 0 ∙ share

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A Training-based Identification Approach to VIN Adversarial Examples

With the rapid development of Artificial Intelligence (AI), the problem ...
10/18/2018 ∙ by Yingdi Wang, et al. ∙ 0 ∙ share

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Gradient Band-based Adversarial Training for Generalized Attack Immunity of A3C Path Finding

As adversarial attacks pose a serious threat to the security of AI syste...
07/18/2018 ∙ by Tong Chen, et al. ∙ 2 ∙ share

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Deep Sequence Learning with Auxiliary Information for Traffic Prediction

Predicting traffic conditions from online route queries is a challenging...
06/13/2018 ∙ by Binbing Liao, et al. ∙ 0 ∙ share

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Deep Image Compression via End-to-End Learning

We present a lossy image compression method based on deep convolutional ...
06/05/2018 ∙ by Haojie Liu, et al. ∙ 0 ∙ share

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Implementing implicit OpenMP data sharing on GPUs

OpenMP is a shared memory programming model which supports the offloadin...
11/28/2017 ∙ by Gheorghe-Teodor Bercea, et al. ∙ 0 ∙ share

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When Point Process Meets RNNs: Predicting Fine-Grained User Interests with Mutual Behavioral Infectivity

Predicting fine-grained interests of users with temporal behavior is imp...
10/14/2017 ∙ by Tong Chen, et al. ∙ 0 ∙ share

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Call Attention to Rumors: Deep Attention Based Recurrent Neural Networks for Early Rumor Detection

The proliferation of social media in communication and information disse...
04/20/2017 ∙ by Tong Chen, et al. ∙ 0 ∙ share

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A single scale retinex based method for palm vein extraction

Palm vein recognition is a novel biometric identification technology. Bu...
05/26/2016 ∙ by Chongyang Wang, et al. ∙ 0 ∙ share

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Tong Chen

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