Nanqing Dong

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 48

Top Topics

Partially Supervised

Domain Adaptation

Medical Image Segmentation

Top Venues

Appl. Soft Comput.

DLMIA/ML-CDS@MICCAI

Publications

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 (2024)
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 (2024)
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 (2024)
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 (2024)
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) (2024)
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 (2024)
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)
Nanqing Dong, Linus Ericsson, Yongxin Yang, Ales Leonardis, Steven McDonagh
Label-efficient object detection via region proposal network pre-training. Neurocomputing 577 (2024)
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 (2023)
Zhipeng Wang, Nanqing Dong, Jiahao Sun, William J. Knottenbelt
zkFL: Zero-Knowledge Proof-based Gradient Aggregation for Federated Learning. CoRR (2023)
Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu, Eric P. Xing
Federated Partially Supervised Learning With Limited Decentralized Medical Images. IEEE Trans. Medical Imaging 42 (7) (2023)
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) (2023)
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 (2023)
Nanqing Dong, Jiayi Wang, Irina Voiculescu
Revisiting Vicinal Risk Minimization for Partially Supervised Multi-Label Classification Under Data Scarcity. CVPR Workshops (2022)
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 (2022)
Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu
Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images. MICCAI (8) (2022)
Ziyang Wang, Nanqing Dong, Irina Voiculescu
Computationally-Efficient Vision Transformer for Medical Image Semantic Segmentation Via Dual Pseudo-Label Supervision. ICIP (2022)
Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu
Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images. CoRR (2022)
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)
Nanqing Dong, Jiahao Sun, Zhipeng Wang, Shuoying Zhang, Shuhao Zheng
FLock: Defending Malicious Behaviors in Federated Learning with Blockchain. CoRR (2022)
Linus Ericsson, Nanqing Dong, Yongxin Yang, Ales Leonardis, Steven McDonagh
Region Proposal Network Pre-Training Helps Label-Efficient Object Detection. CoRR (2022)
Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu, Eric P. Xing
Negational symmetry of quantum neural networks for binary pattern classification. Pattern Recognit. 129 (2022)
Nanqing Dong, Jiayi Wang, Irina Voiculescu
Revisiting Vicinal Risk Minimization for Partially Supervised Multi-Label Classification Under Data Scarcity. CoRR (2022)
Zhaoming Qin, Nanqing Dong, Eric P. Xing, Junwei Cao
Cooperative Multi-Agent Actor-Critic for Privacy-Preserving Load Scheduling in a Residential Microgrid. CoRR (2021)
Nanqing Dong, Irina Voiculescu
Federated Contrastive Learning for Decentralized Unlabeled Medical Images. MICCAI (3) (2021)
Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu, Eric P. Xing
Negational Symmetry of Quantum Neural Networks for Binary Pattern Classification. CoRR (2021)
Nanqing Dong, Matteo Maggioni, Yongxin Yang, Eduardo Pérez-Pellitero, Ales Leonardis, Steven McDonagh
Residual Contrastive Learning for Joint Demosaicking and Denoising. CoRR (2021)
Nanqing Dong, Irina Voiculescu
Federated Contrastive Learning for Decentralized Unlabeled Medical Images. CoRR (2021)
Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu
Self-supervised Multi-task Representation Learning for Sequential Medical Images. ECML/PKDD (3) (2021)
Nanqing Dong, Michael C. Kampffmeyer, Irina Voiculescu
Quantum Unsupervised Domain Adaptation: Does Entanglement Help? BMVC (2021)
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 (2020)
Zeya Wang, Baoyu Jing, Yang Ni, Nanqing Dong, Pengtao Xie, Eric P. Xing
Adversarial Domain Adaptation Being Aware of Class Relationships. ECAI (2020)
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)
Wei Dai, Yi Zhou, Nanqing Dong, Hao Zhang, Eric P. Xing
Toward Understanding the Impact of Staleness in Distributed Machine Learning. ICLR (Poster) (2019)
Nanqing Dong, Min Xu, Xiaodan Liang, Yiliang Jiang, Wei Dai, Eric P. Xing
Neural Architecture Search for Adversarial Medical Image Segmentation. MICCAI (6) (2019)
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) (2019)
Zeya Wang, Baoyu Jing, Yang Ni, Nanqing Dong, Pengtao Xie, Eric P. Xing
Adversarial Domain Adaptation Being Aware of Class Relationships. CoRR (2019)
Wei Dai, Yi Zhou, Nanqing Dong, Hao Zhang, Eric P. Xing
Toward Understanding the Impact of Staleness in Distributed Machine Learning. CoRR (2018)
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)
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 (2018)
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)
Michael Kampffmeyer, Nanqing Dong, Xiaodan Liang, Yujia Zhang, Eric P. Xing
ConnNet: A Long-Range Relation-Aware Pixel-Connectivity Network for Salient Segmentation. CoRR (2018)
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)
Nanqing Dong, Eric P. Xing
Domain Adaption in One-Shot Learning. ECML/PKDD (1) (2018)
Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric P. Xing
Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio. CoRR (2018)
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)
Nanqing Dong, Eric P. Xing
Few-Shot Semantic Segmentation with Prototype Learning. BMVC (2018)
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 (2017)