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Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification

Sep 30, 2020
Chu-ran Wang, Jing Li, Fandong Zhang, Xinwei Sun, Hao Dong, Yizhou Yu, Yizhou Wang


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The DongNiao International Birds 10000 Dataset

Sep 21, 2020
Jian Mei, Hao Dong


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Lyapunov-Based Reinforcement Learning for Decentralized Multi-Agent Control

Sep 20, 2020
Qingrui Zhang, Hao Dong, Wei Pan

* Accepted to The 2nd International Conference on Distributed Artificial Intelligence 

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RLzoo: A Comprehensive and Adaptive Reinforcement Learning Library

Sep 18, 2020
Zihan Ding, Tianyang Yu, Yanhua Huang, Hongming Zhang, Luo Mai, Hao Dong

* Paper under submission at Journal of Machine Learning Research-Open Source Software 

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Generative 3D Part Assembly via Dynamic Graph Learning

Jun 14, 2020
Jialei Huang, Guanqi Zhan, Qingnan Fan, Kaichun Mo, Lin Shao, Baoquan Chen, Leonidas Guibas, Hao Dong


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Role-Wise Data Augmentation for Knowledge Distillation

Apr 19, 2020
Jie Fu, Xue Geng, Zhijian Duan, Bohan Zhuang, Xingdi Yuan, Adam Trischler, Jie Lin, Chris Pal, Hao Dong


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Unpaired Image-to-Image Translation using Adversarial Consistency Loss

Mar 10, 2020
Yihao Zhao, Ruihai Wu, Hao Dong


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DLGAN: Disentangling Label-Specific Fine-Grained Features for Image Manipulation

Nov 22, 2019
Guanqi Zhan, Yihao Zhao, Bingchan Zhao, Haoqi Yuan, Baoquan Chen, Hao Dong


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Gear Training: A new way to implement high-performance model-parallel training

Jun 11, 2018
Hao Dong, Shuai Li, Dongchang Xu, Yi Ren, Di Zhang


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Generative Creativity: Adversarial Learning for Bionic Design

May 19, 2018
Simiao Yu, Hao Dong, Pan Wang, Chao Wu, Yike Guo


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

Nov 20, 2017
Hao Dong, Chao Wu, Zhen Wei, Yike Guo

* IEEE Trans. Information Forensics and Security (TIFS) 

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

Aug 03, 2017
Akara Supratak, Hao Dong, Chao Wu, Yike Guo

* This article has been published in IEEE Transactions on Neural Systems and Rehabilitation Engineering 

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Mixed Neural Network Approach for Temporal Sleep Stage Classification

Aug 03, 2017
Hao Dong, Akara Supratak, Wei Pan, Chao Wu, Paul M. Matthews, Yike Guo

* THIS ARTICLE HAS BEEN PUBLISHED IN IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING 

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TensorLayer: A Versatile Library for Efficient Deep Learning Development

Aug 03, 2017
Hao Dong, Akara Supratak, Luo Mai, Fangde Liu, Axel Oehmichen, Simiao Yu, Yike Guo

* ACM Multimedia 2017 

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Semantic Image Synthesis via Adversarial Learning

Jul 21, 2017
Hao Dong, Simiao Yu, Chao Wu, Yike Guo

* Accepted to ICCV 2017 

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Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks

Jun 03, 2017
Hao Dong, Guang Yang, Fangde Liu, Yuanhan Mo, Yike Guo

* Medical Image Understanding and Analysis (MIUA) 2017 

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I2T2I: Learning Text to Image Synthesis with Textual Data Augmentation

Jun 03, 2017
Hao Dong, Jingqing Zhang, Douglas McIlwraith, Yike Guo

* International Conference on Image Processing (ICIP) 2017 

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Deep De-Aliasing for Fast Compressive Sensing MRI

May 19, 2017
Simiao Yu, Hao Dong, Guang Yang, Greg Slabaugh, Pier Luigi Dragotti, Xujiong Ye, Fangde Liu, Simon Arridge, Jennifer Keegan, David Firmin, Yike Guo

* 15 pages, 5 figures 

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Unsupervised Image-to-Image Translation with Generative Adversarial Networks

Jan 10, 2017
Hao Dong, Paarth Neekhara, Chao Wu, Yike Guo


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DropNeuron: Simplifying the Structure of Deep Neural Networks

Jul 03, 2016
Wei Pan, Hao Dong, Yike Guo


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