Hao Dong 董豪
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DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction
G Yang, S Yu, H Dong, G Slabaugh, PL Dragotti, X Ye, F Liu, S Arridge, ...
IEEE Transactions on Medical Imaging (TMI), 2017
Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks
H Dong, G Yang, F Liu, Y Mo, Y Guo
Medical Image Understanding and Analysis (MIUA), 2017
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG
A Supratak, H Dong, C Wu, Y Guo
IEEE Trans on Neural Systems and Rehabilitation Engineering (TNSRE), 2017
Semantic Image Synthesis via Adversarial Learning
H Dong, S Yu, C Wu, Y Guo
International Conference on Computer Vision (ICCV), 2017
Mixed Neural Network Approach for Temporal Sleep Stage Classification
H Dong, A Supratak, W Pan, C Wu, PM Matthews, Y Guo
IEEE Trans on Neural Systems and Rehabilitation Engineering (TNSRE), 2016
TensorLayer: A Versatile Library for Efficient Deep Learning Development
H Dong, A Supratak, L Mai, F Liu, A Oehmichen, S Yu, Y Guo
ACM Multimedia (MM), 2017
Unsupervised Image-to-Image Translation with Generative Adversarial Networks
H Dong, P Neekhara, C Wu, Y Guo
arXiv preprint arXiv:1701.02676, 2017
Deep Reinforcement Learning: Fundamentals, Research and Applications
H Dong, Z Ding, S Zhang, Chang
Springer Nature, 2020
Deep De-Aliasing for Fast Compressive Sensing MRI
S Yu, H Dong, G Yang, G Slabaugh, PL Dragotti, X Ye, F Liu, S Arridge, ...
arXiv preprint arXiv:1705.07137, 2017
I2T2I: Learning Text to Image Synthesis with Textual Data Augmentation
H Dong, J Zhang, D McIlwraith, Y Guo
International Conference on Image Processing (ICIP), 2017
End-to-End Object Detection with Adaptive Clustering Transformer
M Zheng, P Gao, X Wang, H Li, H Dong
arXiv preprint arXiv:2011.09315, 2020
An Artificial Intelligence based Data-driven Approach for Design Ideation
L Chen, P Wang, H Dong, F Shi, J Han, Y Guo, PRN Childs, J Xiao, C Wu
Journal of Visual Communication and Image Representation 61, 10-22, 2019
DropNeuron: Simplifying the Structure of Deep Neural Networks
W Pan, H Dong, Y Guo
arXiv preprint arXiv:1606.07326, 2016
Survey on Feature Extraction and Applications of Biosignals
A Supratak, C Wu, H Dong, K Sun, Y Guo
Machine Learning for Health Informatics, 161-182, 2016
Unpaired Image-to-Image Translation using Adversarial Consistency Loss
Y Zhao, R Wu, H Dong
European Conference on Computer Vision (ECCV), 2020
Dropping Activation Outputs with Localized First-layer Deep Network for Enhancing User Privacy and Data Security
H Dong, C Wu, Z Wei, Y Guo
IEEE Transactions on Information Forensics and Security (TIFS), 2017
Generative 3D Part Assembly via Dynamic Graph Learning
J Huang, G Zhan, Q Fan, K Mo, L Shao, B Chen, L Guibas, H Dong
NeurIPS 2020, 2020
Text-to-Image Synthesis via Visual-Memory Creative Adversarial Network
S Zhang, H Dong, W Hu, Y Guo, C Wu, D Xie, F Wu
Pacific Rim Conference on Multimedia, 417-427, 2018
Role-wise Data Augmentation for Knowledge Distillation
J Fu, X Geng, Z Duan, B Zhuang, X Yuan, A Trischler, J Lin, C Pal, ...
arXiv preprint arXiv:2004.08861, 2020
P4Contrast: Contrastive Learning with Pairs of Point-Pixel Pairs for RGB-D Scene Understanding
Y Liu, L Yi, S Zhang, Q Fan, T Funkhouser, H Dong
arXiv preprint arXiv:2012.13089, 2020
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