| 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 | 814 | 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 | 760 | 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 | 751 | 2017 |
| Semantic Image Synthesis via Adversarial Learning H Dong, S Yu, C Wu, Y Guo International Conference on Computer Vision (ICCV), 2017 | 226 | 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 | 214 | 2016 |
| Deep Reinforcement Learning: Fundamentals, Research and Applications H Dong, Z Ding, S Zhang, Chang Springer Nature, 2020 | 204* | 2020 |
| End-to-End Object Detection with Adaptive Clustering Transformer M Zheng, P Gao, X Wang, H Li, H Dong BMVC 2021, 2020 | 121 | 2020 |
| 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 | 114 | 2017 |
| Unsupervised Image-to-Image Translation with Generative Adversarial Networks H Dong, P Neekhara, C Wu, Y Guo arXiv preprint arXiv:1701.02676, 2017 | 92 | 2017 |
| 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 | 81 | 2019 |
| Unpaired Image-to-Image Translation using Adversarial Consistency Loss Y Zhao, R Wu, H Dong European Conference on Computer Vision (ECCV), 2020 | 64 | 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 | 64 | 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 | 51 | 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 | 39* | 2020 |
| 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 | 35 | 2016 |
| DropNeuron: Simplifying the Structure of Deep Neural Networks W Pan, H Dong, Y Guo arXiv preprint arXiv:1606.07326, 2016 | 32 | 2016 |
| 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 | 30 | 2021 |
| 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 | 28 | 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 | 22 | 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 | 17 | 2022 |
Yike GuoProfessor of Computing Science , Imperial College LondonVerified email at doc.ic.ac.uk
