Chao Wu

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Zhejiang University ∙ Imperial College London

KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation

Conventional unsupervised multi-source domain adaptation(UMDA) methods a...
11/19/2020 ∙ by Hao-Zhe Feng, et al. ∙ 0 ∙ share

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GFL: A Decentralized Federated Learning Framework Based On Blockchain

Due to people's emerging concern about data privacy, federated learning(...
10/21/2020 ∙ by Yifan Hu, et al. ∙ 0 ∙ share

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Federated Unsupervised Representation Learning

To leverage enormous unlabeled data on distributed edge devices, we form...
10/18/2020 ∙ by Fengda Zhang, et al. ∙ 0 ∙ share

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Federated Mutual Learning

Federated learning enables collaboratively training machine learning mod...
06/27/2020 ∙ by Tao Shen, et al. ∙ 0 ∙ share

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Evaluation Framework For Large-scale Federated Learning

Federated learning is proposed as a machine learning setting to enable d...
03/03/2020 ∙ by Lifeng Liu, et al. ∙ 0 ∙ share

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Transfer Heterogeneous Knowledge Among Peer-to-Peer Teammates: A Model Distillation Approach

Peer-to-peer knowledge transfer in distributed environments has emerged ...
02/06/2020 ∙ by Zeyue Xue, et al. ∙ 0 ∙ share

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Galaxy Learning – A Position Paper

The recent rapid development of artificial intelligence (AI, mainly driv...
04/22/2019 ∙ by Chao Wu, 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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Generative Creativity: Adversarial Learning for Bionic Design

Bionic design refers to an approach of generative creativity in which a ...
05/19/2018 ∙ by Simiao Yu, et al. ∙ 0 ∙ share

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Dropping Activation Outputs with Localized First-layer Deep Network for Enhancing User Privacy and Data Security

Deep learning methods can play a crucial role in anomaly detection, pred...
11/20/2017 ∙ by Hao Dong, et al. ∙ 0 ∙ share

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Semantic Image Synthesis via Adversarial Learning

In this paper, we propose a way of synthesizing realistic images directl...
07/21/2017 ∙ by Hao Dong, et al. ∙ 0 ∙ share

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DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG

The present study proposes a deep learning model, named DeepSleepNet, fo...
03/12/2017 ∙ by Akara Supratak, et al. ∙ 0 ∙ share

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Unsupervised Image-to-Image Translation with Generative Adversarial Networks

It's useful to automatically transform an image from its original form t...
01/10/2017 ∙ by Hao Dong, et al. ∙ 0 ∙ share

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Mixed Neural Network Approach for Temporal Sleep Stage Classification

This paper proposes a practical approach to addressing limitations posed...
10/15/2016 ∙ by Hao Dong, et al. ∙ 0 ∙ share

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Noise Robust IOA/CAS Speech Separation and Recognition System For The Third 'CHIME' Challenge

This paper presents the contribution to the third 'CHiME' speech separat...
09/21/2015 ∙ by Xiaofei Wang, et al. ∙ 0 ∙ share

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Chao Wu

Featured Co-authors

Wei Chen

Fei Wu

Jie Zhang

Yong Liu

Pan Zhou

Yueting Zhuang

Yike Guo

Xiaofei Wang

Tong Chen

Wei Pan

Xu Li

KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation

GFL: A Decentralized Federated Learning Framework Based On Blockchain

Federated Unsupervised Representation Learning

Federated Mutual Learning

Evaluation Framework For Large-scale Federated Learning

Transfer Heterogeneous Knowledge Among Peer-to-Peer Teammates: A Model Distillation Approach

Galaxy Learning – A Position Paper

Deep Sequence Learning with Auxiliary Information for Traffic Prediction

Generative Creativity: Adversarial Learning for Bionic Design

Dropping Activation Outputs with Localized First-layer Deep Network for Enhancing User Privacy and Data Security

Semantic Image Synthesis via Adversarial Learning

DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG

Unsupervised Image-to-Image Translation with Generative Adversarial Networks

Mixed Neural Network Approach for Temporal Sleep Stage Classification

Noise Robust IOA/CAS Speech Separation and Recognition System For The Third 'CHIME' Challenge