Tong Chen

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Nanjing University ∙ Zhejiang University ∙ ibm ∙ The University of Queensland

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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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Tong Chen

Featured Co-authors

Yang Wang

Jun Zhang

Fei Wu

Xiang Ren

Yao Wang

Jingjing Liu

Yike Guo

Shiliang Pu

Lin Wu

Hao Zhu

Gang Li

Learned Video Compression via Joint Spatial-Temporal Correlation Exploration

Collaborative Policy Learning for Open Knowledge Graph Reasoning

Learned Point Cloud Geometry Compression

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

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

A single scale retinex based method for palm vein extraction

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

Deep Image Compression via End-to-End Learning

Implementing implicit OpenMP data sharing on GPUs

Deep Sequence Learning with Auxiliary Information for Traffic Prediction

Micro-Attention for Micro-Expression recognition

A Training-based Identification Approach to VIN Adversarial Examples

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

Extreme Image Compression via Multiscale Autoencoders With Generative Adversarial Optimization

Non-local Attention Optimized Deep Image Compression

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

Using Structured Input and Modularity for Improved Learning

Sequence-Aware Factorization Machines for Temporal Predictive Analytics

Polynomial Optimization for Bounding Lipschitz Constants of Deep Networks