Nanqing Dong

According to our database, Nanqing Dong authored at least 38 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Defending Against Poisoning Attacks in Federated Learning With Blockchain.

Nanqing Dong, Zhipeng Wang, Jiahao Sun, Michael Kampffmeyer, William J. Knottenbelt, Eric P. Xing

IEEE Trans. Artif. Intell., July, 2024

Smoke veil prior regularized surgical field desmoking without paired in-vivo data.

Congcong Wang, Meng Zhao, Chengguang Zhou, Nanqing Dong, Zohaib Amjad Khan, Xintong Zhao, Faouzi Alaya Cheikh, Azeddine Beghdadi, Shengyong Chen

Comput. Biol. Medicine, January, 2024

Label-efficient object detection via region proposal network pre-training.

Nanqing Dong, Linus Ericsson, Yongxin Yang, Ales Leonardis, Steven McDonagh

Neurocomputing, 2024

An exploratory study of self-supervised pre-training on partially supervised multi-label classification on chest X-ray images.

Nanqing Dong, Michael Kampffmeyer, Haoyang Su, Eric P. Xing

Appl. Soft Comput., 2024

Benchmarking Fish Dataset and Evaluation Metric in Keypoint Detection - Towards Precise Fish Morphological Assessment in Aquaculture Breeding.

Weizhen Liu, Jiayu Tan, Guangyu Lan, Ao Li, Dongye Li, Le Zhao, Xiaohui Yuan, Nanqing Dong

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Revealing Hierarchical Structure of Leaf Venations in Plant Science via Label-Efficient Segmentation: Dataset and Method.

Weizhen Liu, Ao Li, Ze Wu, Yue Li, Baobin Ge, Guangyu Lan, Shilin Chen, Minghe Li, Yunfei Liu, Xiaohui Yuan, Nanqing Dong

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

An Embarrassingly Simple Approach to Enhance Transformer Performance in Genomic Selection for Crop Breeding.

Renqi Chen, Wenwei Han, Haohao Zhang, Haoyang Su, Zhefan Wang, Xiaolei Liu, Hao Jiang, Wanli Ouyang, Nanqing Dong

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

ContraNovo: A Contrastive Learning Approach to Enhance De Novo Peptide Sequencing.

Zhi Jin, Sheng Xu, Xiang Zhang, Tianze Ling, Nanqing Dong, Wanli Ouyang, Zhiqiang Gao, Cheng Chang, Siqi Sun

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Federated Partially Supervised Learning With Limited Decentralized Medical Images.

Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu, Eric P. Xing

IEEE Trans. Medical Imaging, 2023

Edge Computing with Artificial Intelligence: A Machine Learning Perspective.

Haochen Hua, Yutong Li, Tonghe Wang, Nanqing Dong, Wei Li, Junwei Cao

ACM Comput. Surv., 2023

zkFL: Zero-Knowledge Proof-based Gradient Aggregation for Federated Learning.

Zhipeng Wang, Nanqing Dong, Jiahao Sun, William J. Knottenbelt

CoRR, 2023

Defending Against Malicious Behaviors in Federated Learning with Blockchain.

Nanqing Dong, Zhipeng Wang, Jiahao Sun, Michael Kampffmeyer, Yizhe Wen, Shuoying Zhang, William J. Knottenbelt, Eric P. Xing

CoRR, 2023

2022

Negational symmetry of quantum neural networks for binary pattern classification.

Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu, Eric P. Xing

Pattern Recognit., 2022

Region Proposal Network Pre-Training Helps Label-Efficient Object Detection.

Linus Ericsson, Nanqing Dong, Yongxin Yang, Ales Leonardis, Steven McDonagh

CoRR, 2022

FLock: Defending Malicious Behaviors in Federated Learning with Blockchain.

Nanqing Dong, Jiahao Sun, Zhipeng Wang, Shuoying Zhang, Shuhao Zheng

CoRR, 2022

Towards robust partially supervised multi-structure medical image segmentation on small-scale data.

Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Min Xu, Irina Voiculescu, Eric P. Xing

Appl. Soft Comput., 2022

Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images.

Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images.

Nanqing Dong, Matteo Maggioni, Yongxin Yang, Eduardo Pérez-Pellitero, Ales Leonardis, Steven McDonagh

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Computationally-Efficient Vision Transformer for Medical Image Semantic Segmentation Via Dual Pseudo-Label Supervision.

Ziyang Wang, Nanqing Dong, Irina Voiculescu

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Revisiting Vicinal Risk Minimization for Partially Supervised Multi-Label Classification Under Data Scarcity.

Nanqing Dong, Jiayi Wang, Irina Voiculescu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Cooperative Multi-Agent Actor-Critic for Privacy-Preserving Load Scheduling in a Residential Microgrid.

Zhaoming Qin, Nanqing Dong, Eric P. Xing, Junwei Cao

CoRR, 2021

Residual Contrastive Learning for Joint Demosaicking and Denoising.

Nanqing Dong, Matteo Maggioni, Yongxin Yang, Eduardo Pérez-Pellitero, Ales Leonardis, Steven McDonagh

CoRR, 2021

Self-supervised Multi-task Representation Learning for Sequential Medical Images.

Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Federated Contrastive Learning for Decentralized Unlabeled Medical Images.

Nanqing Dong, Irina Voiculescu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Quantum Unsupervised Domain Adaptation: Does Entanglement Help?

Nanqing Dong, Michael C. Kampffmeyer, Irina Voiculescu

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Towards Robust Medical Image Segmentation on Small-Scale Data with Incomplete Labels.

Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Min Xu, Irina Voiculescu, Eric P. Xing

CoRR, 2020

Adversarial Domain Adaptation Being Aware of Class Relationships.

Zeya Wang, Baoyu Jing, Yang Ni, Nanqing Dong, Pengtao Xie, Eric P. Xing

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019

ConnNet: A Long-Range Relation-Aware Pixel-Connectivity Network for Salient Segmentation.

Michael Kampffmeyer, Nanqing Dong, Xiaodan Liang, Yujia Zhang, Eric P. Xing

IEEE Trans. Image Process., 2019

Neural Architecture Search for Adversarial Medical Image Segmentation.

Nanqing Dong, Min Xu, Xiaodan Liang, Yiliang Jiang, Wei Dai, Eric P. Xing

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Ellipse Detection of Optic Disc-and-Cup Boundary in Fundus Images.

Zeya Wang, Nanqing Dong, Sean D. Rosario, Min Xu, Pengtao Xie, Eric P. Xing

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Toward Understanding the Impact of Staleness in Distributed Machine Learning.

Wei Dai, Yi Zhou, Nanqing Dong, Hao Zhang, Eric P. Xing

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Domain Adaption in One-Shot Learning.

Nanqing Dong, Eric P. Xing

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-Slide Images.

Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric P. Xing

Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio.

Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric P. Xing

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

SCAN: Structure Correcting Adversarial Network for Organ Segmentation in Chest X-Rays.

Wei Dai, Nanqing Dong, Zeya Wang, Xiaodan Liang, Hao Zhang, Eric P. Xing

Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

Classification of Breast Cancer Histopathological Images using Convolutional Neural Networks with Hierarchical Loss and Global Pooling.

Zeya Wang, Nanqing Dong, Wei Dai, Sean D. Rosario, Eric P. Xing

Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018

Few-Shot Semantic Segmentation with Prototype Learning.

Nanqing Dong, Eric P. Xing

Proceedings of the British Machine Vision Conference 2018, 2018

2017

SCAN: Structure Correcting Adversarial Network for Chest X-rays Organ Segmentation.

Wei Dai, Joseph Doyle, Xiaodan Liang, Hao Zhang, Nanqing Dong, Yuan Li, Eric P. Xing

CoRR, 2017