Hao Dong
Hao Dong
Assistant Professor at Peking University
Zweryfikowany adres z pku.edu.cn - Strona główna
Cytowane przez
Cytowane przez
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
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
Deep Reinforcement Learning: Fundamentals, Research and Applications
H Dong, Z Ding, S Zhang, Chang
Springer Nature, 2020
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
End-to-End Object Detection with Adaptive Clustering Transformer
M Zheng, P Gao, X Wang, H Li, H Dong
BMVC 2021, 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
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
Unpaired Image-to-Image Translation using Adversarial Consistency Loss
Y Zhao, R Wu, H Dong
European Conference on Computer Vision (ECCV), 2020
PerSAM: Personalize Segment Anything Model with One Shot
R Zhang, Z Jiang, Z Guo, S Yan, J Pan, H Dong, P Gao, H Li
International Conference on Learning Representations (ICLR), 2024
Unsupervised Image-to-Image Translation with Generative Adversarial Networks
H Dong, P Neekhara, C Wu, Y Guo
arXiv preprint arXiv:1701.02676, 2017
VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D Articulated Objects
R Wu, Y Zhao, K Mo, Z Guo, Y Wang, T Wu, Q Fan, X Chen, L Guibas, ...
International Conference on Learning Representations (ICLR), 2022
Towards Human-level Bimanual Dexterous Manipulation with Reinforcement Learning
Y Chen, Y Yang, T Wu, S Wang, X Feng, J Jiang, SM McAleer, H Dong, ...
Neural Information Processing System (NeurIPS), 2022
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
Instruct2act: Mapping multi-modality instructions to robotic actions with large language model
S Huang, Z Jiang, H Dong, Y Qiao, P Gao, H Li
arXiv preprint arXiv:2305.11176, 2023
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
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
P4Contrast: Contrastive Learning with Pairs of Point-Pixel Pairs for RGB-D Scene Understanding
HD Yunze Liu, Li Yi, Shanghang Zhang, Qingnan Fan, Thomas Funkhouser
arXiv preprint arXiv: 2012.13089, 2020
Contrastive Multimodal Fusion with TupleInfoNCE
Y Liu, Q Fan, S Zhang, H Dong, T Funkhouser, L Yi
Proceedings of the IEEE/CVF International Conference on Computer Vision, 754-763, 2021
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