Hao Dong 董豪
Title
Cited by
Cited by
Year
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
3082017
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
2872017
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
2692017
Semantic Image Synthesis via Adversarial Learning
H Dong, S Yu, C Wu, Y Guo
International Conference on Computer Vision (ICCV), 2017
922017
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
922016
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
702017
Unsupervised Image-to-Image Translation with Generative Adversarial Networks
H Dong, P Neekhara, C Wu, Y Guo
arXiv preprint arXiv:1701.02676, 2017
622017
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
302017
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
292017
Dropneuron: Simplifying the structure of deep neural networks
W Pan, H Dong, Y Guo
arXiv preprint arXiv:1606.07326, 2016
212016
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
122019
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
112016
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
72017
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
32018
Towards Desynchronization Detection in Biosignals
A Supratak, S Schneider, H Dong, L Li, Y Guo
Neural Information Processing Systems (NIPS), 2017
32017
A New Soft Material based In-the-Ear EEG Recording Technique
H Dong, PM Matthews, Y Guo
Engineering in Medicine and Biology Society (EMBC), 2016 IEEE 38th Annual …, 2016
32016
Simgan: Photo-realistic semantic image manipulation using generative adversarial networks
S Yu, H Dong, F Liang, Y Mo, C Wu, Y Guo
2019 IEEE International Conference on Image Processing (ICIP), 734-738, 2019
22019
Deep Reinforcement Learning: Fundamentals, Research and Applications
H Dong, Z Ding, S Zhang
Springer Nature, 2020
12020
Generative Creativity: Adversarial Learning for Bionic Design
S Yu, H Dong, P Wang, C Wu, Y Guo
International Conference on Artificial Neural Networks, 525-536, 2019
12019
Conditional Image Synthesis Using Stacked Auxiliary Classifier Generative Adversarial Networks
Z Yao, H Dong, F Liu, Y Guo
Future of Information and Communication Conference, 423-433, 2018
12018
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Articles 1–20