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Nanqing Dong
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2020 – today
- 2024
- [j9]Nanqing Dong
, Michael Kampffmeyer, Haoyang Su, Eric P. Xing:
An exploratory study of self-supervised pre-training on partially supervised multi-label classification on chest X-ray images. Appl. Soft Comput. 163: 111855 (2024) - [j8]Congcong Wang
, Meng Zhao
, Chengguang Zhou, Nanqing Dong
, Zohaib Amjad Khan, Xintong Zhao
, Faouzi Alaya Cheikh
, Azeddine Beghdadi
, Shengyong Chen:
Smoke veil prior regularized surgical field desmoking without paired in-vivo data. Comput. Biol. Medicine 168: 107761 (2024) - [j7]Nanqing Dong
, Linus Ericsson
, Yongxin Yang, Ales Leonardis, Steven McDonagh
:
Label-efficient object detection via region proposal network pre-training. Neurocomputing 577: 127376 (2024) - [j6]Nanqing Dong
, Zhipeng Wang
, Jiahao Sun
, Michael Kampffmeyer
, William J. Knottenbelt
, Eric P. Xing:
Defending Against Poisoning Attacks in Federated Learning With Blockchain. IEEE Trans. Artif. Intell. 5(7): 3743-3756 (2024) - [c18]Zhi Jin, Sheng Xu, Xiang Zhang, Tianze Ling, Nanqing Dong, Wanli Ouyang, Zhiqiang Gao, Cheng Chang, Siqi Sun:
ContraNovo: A Contrastive Learning Approach to Enhance De Novo Peptide Sequencing. AAAI 2024: 144-152 - [i21]Renqi Chen, Wenwei Han, Haohao Zhang, Haoyang Su, Zhefan Wang, Xiaolei Liu, Hao Jiang, Wanli Ouyang, Nanqing Dong:
An Embarrassingly Simple Approach to Enhance Transformer Performance in Genomic Selection for Crop Breeding. CoRR abs/2405.09585 (2024) - [i20]Weizhen Liu, Ao Li, Ze Wu, Yue Li, Baobin Ge, Guangyu Lan, Shilin Chen, Minghe Li, Yunfei Liu, Xiaohui Yuan, Nanqing Dong:
Revealing Hierarchical Structure of Leaf Venations in Plant Science via Label-Efficient Segmentation: Dataset and Method. CoRR abs/2405.10041 (2024) - [i19]Weizhen Liu, Jiayu Tan, Guangyu Lan, Ao Li, Dongye Li, Le Zhao, Xiaohui Yuan, Nanqing Dong:
Benchmarking Fish Dataset and Evaluation Metric in Keypoint Detection - Towards Precise Fish Morphological Assessment in Aquaculture Breeding. CoRR abs/2405.12476 (2024) - 2023
- [j5]Haochen Hua
, Yutong Li
, Tonghe Wang
, Nanqing Dong
, Wei Li
, Junwei Cao
:
Edge Computing with Artificial Intelligence: A Machine Learning Perspective. ACM Comput. Surv. 55(9): 184:1-184:35 (2023) - [j4]Nanqing Dong
, Michael Kampffmeyer
, Irina Voiculescu
, Eric P. Xing:
Federated Partially Supervised Learning With Limited Decentralized Medical Images. IEEE Trans. Medical Imaging 42(7): 1944-1954 (2023) - [i18]Nanqing Dong, Zhipeng Wang, Jiahao Sun, Michael Kampffmeyer, Yizhe Wen, Shuoying Zhang, William J. Knottenbelt, Eric P. Xing:
Defending Against Malicious Behaviors in Federated Learning with Blockchain. CoRR abs/2307.00543 (2023) - [i17]Zhipeng Wang, Nanqing Dong, Jiahao Sun, William J. Knottenbelt:
zkFL: Zero-Knowledge Proof-based Gradient Aggregation for Federated Learning. CoRR abs/2310.02554 (2023) - [i16]Zhi Jin, Sheng Xu, Xiang Zhang, Tianze Ling, Nanqing Dong, Wanli Ouyang, Zhiqiang Gao, Cheng Chang
, Siqi Sun:
ContraNovo: A Contrastive Learning Approach to Enhance De Novo Peptide Sequencing. CoRR abs/2312.11584 (2023) - 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) - [c17]Nanqing Dong, Jiayi Wang, Irina Voiculescu:
Revisiting Vicinal Risk Minimization for Partially Supervised Multi-Label Classification Under Data Scarcity. CVPR Workshops 2022: 4211-4219 - [c16]Ziyang Wang, Nanqing Dong, Irina Voiculescu:
Computationally-Efficient Vision Transformer for Medical Image Semantic Segmentation Via Dual Pseudo-Label Supervision. ICIP 2022: 1961-1965 - [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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last updated on 2024-08-05 21:24 CEST by the dblp team
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