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2020 – today
- 2022
[j3]Nanqing Dong
, Michael Kampffmeyer, Xiaodan Liang, Min Xu, Irina Voiculescu, Eric P. Xing:
Towards robust partially supervised multi-structure medical image segmentation on small-scale data. Appl. Soft Comput. 114: 108074 (2022)- [j2]Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu, Eric P. Xing:
Negational symmetry of quantum neural networks for binary pattern classification. Pattern Recognit. 129: 108750 (2022) - [c16]Nanqing Dong, Jiayi Wang, Irina Voiculescu:
Revisiting Vicinal Risk Minimization for Partially Supervised Multi-Label Classification Under Data Scarcity. CVPR Workshops 2022: 4211-4219 - [c15]Nanqing Dong, Matteo Maggioni, Yongxin Yang, Eduardo Pérez-Pellitero, Ales Leonardis, Steven McDonagh:
Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images. IJCAI 2022: 2930-2936 - [c14]Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu:
Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images. MICCAI (8) 2022: 67-76 - [i15]Nanqing Dong, Jiayi Wang, Irina Voiculescu:
Revisiting Vicinal Risk Minimization for Partially Supervised Multi-Label Classification Under Data Scarcity. CoRR abs/2204.08954 (2022) - [i14]Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu:
Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images. CoRR abs/2206.15353 (2022) - [i13]Nanqing Dong, Jiahao Sun, Zhipeng Wang, Shuoying Zhang, Shuhao Zheng:
FLock: Defending Malicious Behaviors in Federated Learning with Blockchain. CoRR abs/2211.04344 (2022) - [i12]Linus Ericsson, Nanqing Dong, Yongxin Yang, Ales Leonardis, Steven McDonagh:
Region Proposal Network Pre-Training Helps Label-Efficient Object Detection. CoRR abs/2211.09022 (2022) - 2021
- [c13]Nanqing Dong, Michael C. Kampffmeyer, Irina Voiculescu:
Quantum Unsupervised Domain Adaptation: Does Entanglement Help? BMVC 2021: 287 - [c12]Nanqing Dong, Irina Voiculescu:
Federated Contrastive Learning for Decentralized Unlabeled Medical Images. MICCAI (3) 2021: 378-387 - [c11]Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu:
Self-supervised Multi-task Representation Learning for Sequential Medical Images. ECML/PKDD (3) 2021: 779-794 - [i11]Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu, Eric P. Xing:
Negational Symmetry of Quantum Neural Networks for Binary Pattern Classification. CoRR abs/2105.09580 (2021) - [i10]Nanqing Dong, Matteo Maggioni, Yongxin Yang, Eduardo Pérez-Pellitero, Ales Leonardis, Steven McDonagh:
Residual Contrastive Learning for Joint Demosaicking and Denoising. CoRR abs/2106.10070 (2021) - [i9]Nanqing Dong, Irina Voiculescu:
Federated Contrastive Learning for Decentralized Unlabeled Medical Images. CoRR abs/2109.07504 (2021) - [i8]Zhaoming Qin, Nanqing Dong, Eric P. Xing, Junwei Cao:
Cooperative Multi-Agent Actor-Critic for Privacy-Preserving Load Scheduling in a Residential Microgrid. CoRR abs/2110.02784 (2021) - 2020
- [c10]Zeya Wang, Baoyu Jing, Yang Ni, Nanqing Dong, Pengtao Xie, Eric P. Xing:
Adversarial Domain Adaptation Being Aware of Class Relationships. ECAI 2020: 1579-1586 - [i7]Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Min Xu, Irina Voiculescu, Eric P. Xing:
Towards Robust Medical Image Segmentation on Small-Scale Data with Incomplete Labels. CoRR abs/2011.14164 (2020)
2010 – 2019
- 2019
- [j1]Michael Kampffmeyer, Nanqing Dong, Xiaodan Liang, Yujia Zhang, Eric P. Xing:
ConnNet: A Long-Range Relation-Aware Pixel-Connectivity Network for Salient Segmentation. IEEE Trans. Image Process. 28(5): 2518-2529 (2019) - [c9]Wei Dai, Yi Zhou, Nanqing Dong, Hao Zhang, Eric P. Xing:
Toward Understanding the Impact of Staleness in Distributed Machine Learning. ICLR (Poster) 2019 - [c8]Zeya Wang, Nanqing Dong, Sean D. Rosario, Min Xu, Pengtao Xie, Eric P. Xing:
Ellipse Detection of Optic Disc-and-Cup Boundary in Fundus Images. ISBI 2019: 601-604 - [c7]Nanqing Dong, Min Xu, Xiaodan Liang, Yiliang Jiang, Wei Dai, Eric P. Xing:
Neural Architecture Search for Adversarial Medical Image Segmentation. MICCAI (6) 2019: 828-836 - [i6]Zeya Wang, Baoyu Jing, Yang Ni, Nanqing Dong, Pengtao Xie, Eric P. Xing:
Adversarial Domain Adaptation Being Aware of Class Relationships. CoRR abs/1905.11931 (2019) - 2018
- [c6]Nanqing Dong, Eric P. Xing:
Few-Shot Semantic Segmentation with Prototype Learning. BMVC 2018: 79 - [c5]Zeya Wang, Nanqing Dong, Wei Dai, Sean D. Rosario, Eric P. Xing:
Classification of Breast Cancer Histopathological Images using Convolutional Neural Networks with Hierarchical Loss and Global Pooling. ICIAR 2018: 745-753 - [c4]Wei Dai, Nanqing Dong, Zeya Wang, Xiaodan Liang, Hao Zhang, Eric P. Xing:
SCAN: Structure Correcting Adversarial Network for Organ Segmentation in Chest X-Rays. DLMIA/ML-CDS@MICCAI 2018: 263-273 - [c3]Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric P. Xing:
Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-Slide Images. DLMIA/ML-CDS@MICCAI 2018: 317-325 - [c2]Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric P. Xing:
Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio. MICCAI (2) 2018: 544-552 - [c1]Nanqing Dong, Eric P. Xing:
Domain Adaption in One-Shot Learning. ECML/PKDD (1) 2018: 573-588 - [i5]Michael Kampffmeyer, Nanqing Dong, Xiaodan Liang, Yujia Zhang, Eric P. Xing:
ConnNet: A Long-Range Relation-Aware Pixel-Connectivity Network for Salient Segmentation. CoRR abs/1804.07836 (2018) - [i4]Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric P. Xing:
Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio. CoRR abs/1807.03434 (2018) - [i3]Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric P. Xing:
Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-slide Images. CoRR abs/1807.11113 (2018) - [i2]Wei Dai, Yi Zhou, Nanqing Dong, Hao Zhang, Eric P. Xing:
Toward Understanding the Impact of Staleness in Distributed Machine Learning. CoRR abs/1810.03264 (2018) - 2017
- [i1]Wei Dai, Joseph Doyle, Xiaodan Liang, Hao Zhang, Nanqing Dong, Yuan Li, Eric P. Xing:
SCAN: Structure Correcting Adversarial Network for Chest X-rays Organ Segmentation. CoRR abs/1703.08770 (2017)
Coauthor Index
aka: Michael C. Kampffmeyer
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