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Nanqing Dong
Nanqing Dong
Shanghai Artificial Intelligence Laboratory; University of Oxford
Verifisert e-postadresse på cs.ox.ac.uk
Tittel
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Few-shot semantic segmentation with prototype learning
N Dong, EP Xing
British Machine Vision Conference, 2018
5642018
Edge computing with artificial intelligence: A machine learning perspective
H Hua, Y Li, T Wang, N Dong, W Li, J Cao
ACM Computing Surveys 55 (9), 1-35, 2022
3212022
Scan: Structure correcting adversarial network for organ segmentation in chest x-rays
W Dai, N Dong, Z Wang, X Liang, H Zhang, EP Xing
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2018
2932018
Data-driven Dynamical Control for Bottom-up Energy Internet System
H Hua, Z Qin, N Dong, Y Qin, M Ye, Z Wang, X Chen, J Cao
IEEE Transactions on Sustainable Energy 13 (1), 315-327, 2022
1232022
Unsupervised domain adaptation for automatic estimation of cardiothoracic ratio
N Dong, M Kampffmeyer, X Liang, Z Wang, W Dai, E Xing
International Conference on Medical Image Computing and Computer-Assisted …, 2018
1132018
Toward Understanding the Impact of Staleness in Distributed Machine Learning
W Dai, Y Zhou, N Dong, H Zhang, E Xing
International Conference on Learning Representations, 2019
972019
ConnNet: A long-range relation-aware pixel-connectivity network for salient segmentation
M Kampffmeyer, N Dong, X Liang, Y Zhang, EP Xing
IEEE Transactions on Image Processing 28 (5), 2518-2529, 2018
772018
Federated Contrastive Learning for Decentralized Unlabeled Medical Images
N Dong, I Voiculescu
International Conference on Medical Image Computing and Computer-Assisted …, 2021
682021
Domain Adaption in One-Shot Learning
N Dong, EP Xing
European Conference on Machine Learning, 573-588, 2018
512018
Neural architecture search for adversarial medical image segmentation
N Dong, M Xu, X Liang, Y Jiang, W Dai, E Xing
International Conference on Medical Image Computing and Computer Assisted …, 2019
472019
Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-Slide Images
N Dong, M Kampffmeyer, X Liang, Z Wang, W Dai, E Xing
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2018
462018
Classification of breast cancer histopathological images using convolutional neural networks with hierarchical loss and global pooling
Z Wang, N Dong, W Dai, SD Rosario, EP Xing
International Conference on Image Analysis and Recognition, 745-753, 2018
462018
Ellipse detection of optic disc-and-cup boundary in fundus images
Z Wang, N Dong, SD Rosario, M Xu, P Xie, EP Xing
IEEE International Symposium on Biomedical Imaging, 601-604, 2019
352019
Demand-side Joint Electricity and Carbon Trading Mechanism
H Hua, X Chen, L Gan, J Sun, N Dong, D Liu, Z Qin, K Li, S Hu
IEEE Transactions on Industrial Cyber-Physical Systems 2, 14-25, 2023
272023
Self-Supervised Multi-Task Representation Learning for Sequential Medical Images
N Dong, M Kampffmeyer, I Voiculescu
European Conference on Machine Learning, 779-794, 2021
262021
Computationally-efficient vision transformer for medical image semantic segmentation via dual pseudo-label supervision
Z Wang, N Dong, I Voiculescu
IEEE International Conference on Image Processing (ICIP), 1961-1965, 2022
252022
Adversarial Domain Adaptation Being Aware of Class Relationships
Z Wang, B Jing, Y Ni, N Dong, P Xie, EP Xing
European Conference on Artificial Intelligence, 1579-1586, 2020
222020
Federated partially supervised learning with limited decentralized medical images
N Dong, M Kampffmeyer, I Voiculescu, E Xing
IEEE Transactions on Medical Imaging 42 (7), 1944-1954, 2022
212022
Towards Robust Partially Supervised Multi-Structure Medical Image Segmentation on Small-Scale Data
N Dong, M Kampffmeyer, X Liang, M Xu, I Voiculescu, EP Xing
Applied Soft Computing 114, 108074, 2021
212021
Defending Against Poisoning Attacks in Federated Learning with Blockchain
N Dong, Z Wang, J Sun, M Kampffmeyer, W Knottenbelt, E Xing
IEEE Transactions on Artificial Intelligence 5 (7), 2691-4581, 2024
20*2024
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Artikler 1–20