Nanqing Dong - RankMe

83 papers A* 10A 3B 1Journal 53Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MEMTS: Internalizing Domain Knowledge via Parameterized Memory for Retrieval-Free Domain Adaptation of Time Series Foundation Models. CoRR Xiaoyun Yu, Li Fan, Xiangfei Qiu, Nanqing Dong, Yonggui Huang, Honggang Qi, Geguang Pu, Wanli Ouyang, Xi Chen, Jilin Hu
2026	J	`jnl`	Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development. CoRR Zhongying Deng, Cheng Tang, Ziyan Huang, Jiashi Lin, Ying Chen, Junzhi Ning, Chenglong Ma, Jiyao Liu, Wei Li, Yinghao Zhu, Shujian Gao, Yanyan Huang, Sibo Ju, Yanzhou Su, Pengcheng Chen, Wenhao Tang, Tianbin Li, Haoyu Wang, Yuanfeng Ji, Hui Sun, Shaobo Min, Liang Peng, Feilong Tang, Haochen Xue, Rulin Zhou, Chaoyang Zhang, Wenjie Li, Shaohao Rui, Weijie Ma, Xingyue Zhao, Yibin Wang, Kun Yuan, Zhaohui Lu, Shujun Wang, Jinjie Wei, Lihao Liu, Dingkang Yang, Lin Wang, Yulong Li, Haolin Yang, Yiqing Shen, Lequan Yu, Xiaowei Hu, Yun Gu, Yicheng Wu, Benyou Wang, Minghui Zhang, Angelica I. Aviles-Rivero, Qi Gao, Hongming Shan, Xiaoyu Ren, Fang Yan, Hongyu Zhou, Haodong Duan, Maosong Cao, Shanshan Wang, Bin Fu, Xiaomeng Li, Zhi Hou, Chunfeng Song, Lei Bai, Yuan Cheng, Yuandong Pu, Xiang Li, Wenhai Wang, Hao Chen, Jiaxin Zhuang, Songyang Zhang, Huiguang He, Mengzhang Li, Bohan Zhuang, Zhian Bai, Rongshan Yu, Liansheng Wang, Yukun Zhou, Xiaosong Wang, Xin Guo, Guanbin Li, Xiangru Lin, Dakai Jin, Mianxin Liu, Wenlong Zhang, Qi Qin, Conghui He, Yuqiang Li, Ye Luo, Nanqing Dong, Jie Xu, Wenqi Shao, Bo Zhang, Qiujuan Yan, Yihao Liu, Jun Ma, Zhi Lu, Yuewen Cao, Zongwei Zhou, Jianming Liang, Shixiang Tang, Qi Duan, et al.
2026	J	`jnl`	Rank-and-Reason: Multi-Agent Collaboration Accelerates Zero-Shot Protein Mutation Prediction. CoRR Yang Tan, Yuanxi Yu, Can Wu, Bozitao Zhong, Mingchen Li, Guisheng Fan, Jiankang Zhu, Yafeng Liang, Nanqing Dong, Liang Hong
2026	J	`jnl`	SciDataCopilot: An Agentic Data Preparation Framework for AGI-driven Scientific Discovery. CoRR Jiyong Rao, Yicheng Qiu, Jiahui Zhang, Juntao Deng, Shangquan Sun, Fenghua Ling, Hao Chen, Nanqing Dong, Zhangyang Gao, Siqi Sun, Yuqiang Li, Dongzhan Zhou, Guangyu Wang, Lijun Wu, Conghui He, Xuhong Wang, Jing Shao, Xiang Liu, Yu Zhu, Mianxin Liu, Qihao Zheng, Yinghui Zhang, Jiamin Wu, Xiaosong Wang, Shixiang Tang, Wenlong Zhang, Bo Zhang, Wanli Ouyang, Runkai Zhao, Chunfeng Song, Lei Bai, Chi Zhang
2026	J	`jnl`	Self-evolving AI agents for protein discovery and directed evolution. CoRR Yang Tan, Lingrong Zhang, Mingchen Li, Yuanxi Yu, Bozitao Zhong, Bingxin Zhou, Nanqing Dong, Liang Hong
2025	J	`jnl`	$ \tt {zkFL}$zkFL: Zero-Knowledge Proof-Based Gradient Aggregation for Federated Learning. IEEE Trans. Big Data Zhipeng Wang, Nanqing Dong, Jiahao Sun, William Knottenbelt, Yike Guo
2025	J	`jnl`	A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers. CoRR Ming Hu, Chenglong Ma, Wei Li, Wanghan Xu, Jiamin Wu, Jucheng Hu, Tianbin Li, Guohang Zhuang, Jiaqi Liu, Yingzhou Lu, Ying Chen, Chaoyang Zhang, Cheng Tan, Jie Ying, Guocheng Wu, Shujian Gao, Pengcheng Chen, Jiashi Lin, Haitao Wu, Lulu Chen, Fengxiang Wang, Yuanyuan Zhang, Xiangyu Zhao, Feilong Tang, Encheng Su, Junzhi Ning, Xinyao Liu, Ye Du, Changkai Ji, Cheng Tang, Huihui Xu, Ziyang Chen, Ziyan Huang, Jiyao Liu, Pengfei Jiang, Yizhou Wang, Chen Tang, Jianyu Wu, Yuchen Ren, Siyuan Yan, Zhonghua Wang, Zhongxing Xu, Shiyan Su, Shangquan Sun, Runkai Zhao, Zhisheng Zhang, Yu Liu, Fudi Wang, Yuanfeng Ji, Yanzhou Su, Hongming Shan, Chun-Mei Feng, Jiahao Xu, Jiangtao Yan, Wenhao Tang, Diping Song, Lihao Liu, Yanyan Huang, Lequan Yu, Bin Fu, Shujun Wang, Xiaomeng Li, Xiaowei Hu, Yun Gu, Ben Fei, Zhongying Deng, Benyou Wang, Yuewen Cao, Minjie Shen, Haodong Duan, Jie Xu, Yirong Chen, Fang Yan, Hongxia Hao, Jielan Li, Jiajun Du, Yanbo Wang, Imran Razzak, Chi Zhang, Lijun Wu, Conghui He, Zhaohui Lu, Jinhai Huang, Yihao Liu, Fenghua Ling, Yuqiang Li, Aoran Wang, Qihao Zheng, Nanqing Dong, Tianfan Fu, Dongzhan Zhou, Yan Lu, Wenlong Zhang, Jin Ye, Jianfei Cai, Wanli Ouyang, Yu Qiao, Zongyuan Ge, Shixiang Tang, Junjun He
2025	J	`jnl`	AI-Driven Automation Can Become the Foundation of Next-Era Science of Science Research. CoRR Renqi Chen, Haoyang Su, Shixiang Tang, Zhenfei Yin, Qi Wu, Hui Li, Ye Sun, Nanqing Dong, Wanli Ouyang, Philip Torr
2025	J	`jnl`	Bidirectional Representations Augmented Autoregressive Biological Sequence Generation:Application in De Novo Peptide Sequencing. CoRR Xiang Zhang, Jiaqi Wei, Zijie Qiu, Sheng Xu, Zhi Jin, Zhiqiang Gao, Nanqing Dong, Siqi Sun
2025	—	`conf`	Biology-Instructions: A Dataset and Benchmark for Multi-Omics Sequence Understanding Capability of Large Language Models. EMNLP (Findings) Haonan He, Yuchen Ren, Yining Tang, Ziyang Xu, Junxian Li, Minghao Yang, Di Zhang, Dong Yuan, Tao Chen, Shufei Zhang, Yuqiang Li, Nanqing Dong, Wanli Ouyang, Dongzhan Zhou, Peng Ye
2025	A*	`conf`	Curriculum Learning for Biological Sequence Prediction: The Case of De Novo Peptide Sequencing. ICML Xiang Zhang, Jiaqi Wei, Zijie Qiu, Sheng Xu, Nanqing Dong, Zhiqiang Gao, Siqi Sun
2025	J	`jnl`	Curriculum Learning for Biological Sequence Prediction: The Case of De Novo Peptide Sequencing. CoRR Xiang Zhang, Jiaqi Wei, Zijie Qiu, Sheng Xu, Nanqing Dong, Zhiqiang Gao, Siqi Sun
2025	J	`jnl`	Deep generative model for protein subcellular localization prediction. Briefings Bioinform. Guo-Hua Yuan, Jinzhe Li, Zejun Yang, Yao-Qi Chen, Zhonghang Yuan, Tao Chen, Wanli Ouyang, Nanqing Dong, Li Yang
2025	J	`jnl`	Dynamic Knowledge Exchange and Dual-diversity Review: Concisely Unleashing the Potential of a Multi-Agent Research Team. CoRR Weilun Yu, Shixiang Tang, Yonggui Huang, Nanqing Dong, Li Fan, Honggang Qi, Wei Liu, Xiaoli Diao, Xi Chen, Wanli Ouyang
2025	J	`jnl`	From AI for Science to Agentic Science: A Survey on Autonomous Scientific Discovery. CoRR Jiaqi Wei, Yuejin Yang, Xiang Zhang, Yuhan Chen, Xiang Zhuang, Zhangyang Gao, Dongzhan Zhou, Guangshuai Wang, Zhiqiang Gao, Juntai Cao, Zijie Qiu, Xuming He, Qiang Zhang, Chenyu You, Shuangjia Zheng, Ning Ding, Wanli Ouyang, Nanqing Dong, Yu Cheng, Siqi Sun, Lei Bai, Bowen Zhou
2025	J	`jnl`	GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation. CoRR Zihong Chen, Wanli Jiang, Jinzhe Li, Zhonghang Yuan, Huanjun Kong, Wanli Ouyang, Nanqing Dong
2025	J	`jnl`	HuixiangDou2: A Robustly Optimized GraphRAG Approach. CoRR Huanjun Kong, Zhefan Wang, Chenyang Wang, Zhe Ma, Nanqing Dong
2025	—	`conf`	Many Heads Are Better Than One: Improved Scientific Idea Generation by A LLM-Based Multi-Agent System. ACL (1) Haoyang Su, Renqi Chen, Shixiang Tang, Zhenfei Yin, Xinzhe Zheng, Jinzhe Li, Biqing Qi, Qi Wu, Hui Li, Wanli Ouyang, Philip Torr, Bowen Zhou, Nanqing Dong
2025	J	`jnl`	PRING: Rethinking Protein-Protein Interaction Prediction from Pairs to Graphs. CoRR Xinzhe Zheng, Hao Du, Fanding Xu, Jinzhe Li, Zhiyuan Liu, Wenkang Wang, Tao Chen, Wanli Ouyang, Stan Z. Li, Yan Lu, Nanqing Dong, Yang Zhang
2025	—	`conf`	ROGRAG: A Robustly Optimized GraphRAG Framework. ACL (3) Zhefan Wang, Huanjun Kong, Jie Ying, Wanli Ouyang, Nanqing Dong
2025	—	`conf`	SeedBench: A Multi-task Benchmark for Evaluating Large Language Models in Seed Science. ACL (1) Jie Ying, Zihong Chen, Zhefan Wang, Wanli Jiang, Chenyang Wang, Zhonghang Yuan, Haoyang Su, Huanjun Kong, Fan Yang, Nanqing Dong
2025	J	`jnl`	SeedBench: A Multi-task Benchmark for Evaluating Large Language Models in Seed Science. CoRR Jie Ying, Zihong Chen, Zhefan Wang, Wanli Jiang, Chenyang Wang, Zhonghang Yuan, Haoyang Su, Huanjun Kong, Fan Yang, Nanqing Dong
2025	A*	`conf`	Towards Efficient and Intelligent Laser Weeding: Method and Dataset for Weed Stem Detection. AAAI Dingning Liu, Jinzhe Li, Haoyang Su, Bei Cui, Zhihui Wang, Qingbo Yuan, Wanli Ouyang, Nanqing Dong
2025	J	`jnl`	Towards Efficient and Intelligent Laser Weeding: Method and Dataset for Weed Stem Detection. CoRR Dingning Liu, Jinzhe Li, Haoyang Su, Bei Cui, Zhihui Wang, Qingbo Yuan, Wanli Ouyang, Nanqing Dong
2025	A*	`conf`	Universal Biological Sequence Reranking for Improved De Novo Peptide Sequencing. ICML Zijie Qiu, Jiaqi Wei, Xiang Zhang, Sheng Xu, Kai Zou, Zhi Jin, Zhiqiang Gao, Nanqing Dong, Siqi Sun
2025	J	`jnl`	Universal Biological Sequence Reranking for Improved De Novo Peptide Sequencing. CoRR Zijie Qiu, Jiaqi Wei, Xiang Zhang, Sheng Xu, Kai Zou, Zhi Jin, Zhiqiang Gao, Nanqing Dong, Siqi Sun
2024	A*	`conf`	An Embarrassingly Simple Approach to Enhance Transformer Performance in Genomic Selection for Crop Breeding. IJCAI Renqi Chen, Wenwei Han, Haohao Zhang, Haoyang Su, Zhefan Wang, Xiaolei Liu, Hao Jiang, Wanli Ouyang, Nanqing Dong
2024	J	`jnl`	An Embarrassingly Simple Approach to Enhance Transformer Performance in Genomic Selection for Crop Breeding. CoRR Renqi Chen, Wenwei Han, Haohao Zhang, Haoyang Su, Zhefan Wang, Xiaolei Liu, Hao Jiang, Wanli Ouyang, Nanqing Dong
2024	J	`jnl`	An exploratory study of self-supervised pre-training on partially supervised multi-label classification on chest X-ray images. Appl. Soft Comput. Nanqing Dong, Michael Kampffmeyer, Haoyang Su, Eric P. Xing
2024	A*	`conf`	Benchmarking Fish Dataset and Evaluation Metric in Keypoint Detection - Towards Precise Fish Morphological Assessment in Aquaculture Breeding. IJCAI Weizhen Liu, Jiayu Tan, Guangyu Lan, Ao Li, Dongye Li, Le Zhao, Xiaohui Yuan, Nanqing Dong
2024	J	`jnl`	Benchmarking Fish Dataset and Evaluation Metric in Keypoint Detection - Towards Precise Fish Morphological Assessment in Aquaculture Breeding. CoRR Weizhen Liu, Jiayu Tan, Guangyu Lan, Ao Li, Dongye Li, Le Zhao, Xiaohui Yuan, Nanqing Dong
2024	J	`jnl`	Biology Instructions: A Dataset and Benchmark for Multi-Omics Sequence Understanding Capability of Large Language Models. CoRR Haonan He, Yuchen Ren, Yining Tang, Ziyang Xu, Junxian Li, Minghao Yang, Di Zhang, Dong Yuan, Tao Chen, Shufei Zhang, Yuqiang Li, Nanqing Dong, Wanli Ouyang, Dongzhan Zhou, Peng Ye
2024	J	`jnl`	COMET: Benchmark for Comprehensive Biological Multi-omics Evaluation Tasks and Language Models. CoRR Yuchen Ren, Wenwei Han, Qianyuan Zhang, Yining Tang, Weiqiang Bai, Yuchen Cai, Lifeng Qiao, Hao Jiang, Dong Yuan, Tao Chen, Siqi Sun, Pan Tan, Wanli Ouyang, Nanqing Dong, Xinzhu Ma, Peng Ye
2024	A*	`conf`	ContraNovo: A Contrastive Learning Approach to Enhance De Novo Peptide Sequencing. AAAI Zhi Jin, Sheng Xu, Xiang Zhang, Tianze Ling, Nanqing Dong, Wanli Ouyang, Zhiqiang Gao, Cheng Chang, Siqi Sun
2024	J	`jnl`	Defending Against Poisoning Attacks in Federated Learning With Blockchain. IEEE Trans. Artif. Intell. Nanqing Dong, Zhipeng Wang, Jiahao Sun, Michael Kampffmeyer, William J. Knottenbelt, Eric P. Xing
2024	A*	`conf`	Empowering and Assessing the Utility of Large Language Models in Crop Science. NeurIPS Hang Zhang, Jiawei Sun, Renqi Chen, Wei Liu, Zhonghang Yuan, Xinzhe Zheng, Zhefan Wang, Zhiyuan Yang, Hang Yan, Han-Sen Zhong, Xiqing Wang, Wanli Ouyang, Fan Yang, Nanqing Dong
2024	J	`jnl`	Label-efficient object detection via region proposal network pre-training. Neurocomputing Nanqing Dong, Linus Ericsson, Yongxin Yang, Ales Leonardis, Steven McDonagh
2024	A*	`conf`	Model Decides How to Tokenize: Adaptive DNA Sequence Tokenization with MxDNA. NeurIPS Lifeng Qiao, Peng Ye, Yuchen Ren, Weiqiang Bai, Chaoqi Liang, Xinzhu Ma, Nanqing Dong, Wanli Ouyang
2024	J	`jnl`	Model Decides How to Tokenize: Adaptive DNA Sequence Tokenization with MxDNA. CoRR Lifeng Qiao, Peng Ye, Yuchen Ren, Weiqiang Bai, Chaoqi Liang, Xinzhu Ma, Nanqing Dong, Wanli Ouyang
2024	A*	`conf`	Revealing Hierarchical Structure of Leaf Venations in Plant Science via Label-Efficient Segmentation: Dataset and Method. IJCAI Weizhen Liu, Ao Li, Ze Wu, Yue Li, Baobin Ge, Guangyu Lan, Shilin Chen, Minghe Li, Yunfei Liu, Xiaohui Yuan, Nanqing Dong
2024	J	`jnl`	Revealing Hierarchical Structure of Leaf Venations in Plant Science via Label-Efficient Segmentation: Dataset and Method. CoRR Weizhen Liu, Ao Li, Ze Wu, Yue Li, Baobin Ge, Guangyu Lan, Shilin Chen, Minghe Li, Yunfei Liu, Xiaohui Yuan, Nanqing Dong
2024	J	`jnl`	Smoke veil prior regularized surgical field desmoking without paired in-vivo data. Comput. Biol. Medicine Congcong Wang, Meng Zhao, Chengguang Zhou, Nanqing Dong, Zohaib Amjad Khan, Xintong Zhao, Faouzi Alaya Cheikh, Azeddine Beghdadi, Shengyong Chen
2024	J	`jnl`	Two Heads Are Better Than One: A Multi-Agent System Has the Potential to Improve Scientific Idea Generation. CoRR Haoyang Su, Renqi Chen, Shixiang Tang, Xinzhe Zheng, Jingzhe Li, Zhenfei Yin, Wanli Ouyang, Nanqing Dong
2023	J	`jnl`	ContraNovo: A Contrastive Learning Approach to Enhance De Novo Peptide Sequencing. CoRR Zhi Jin, Sheng Xu, Xiang Zhang, Tianze Ling, Nanqing Dong, Wanli Ouyang, Zhiqiang Gao, Cheng Chang, Siqi Sun
2023	J	`jnl`	Defending Against Malicious Behaviors in Federated Learning with Blockchain. CoRR Nanqing Dong, Zhipeng Wang, Jiahao Sun, Michael Kampffmeyer, Yizhe Wen, Shuoying Zhang, William J. Knottenbelt, Eric P. Xing
2023	J	`jnl`	Edge Computing with Artificial Intelligence: A Machine Learning Perspective. ACM Comput. Surv. Haochen Hua, Yutong Li, Tonghe Wang, Nanqing Dong, Wei Li, Junwei Cao
2023	J	`jnl`	Federated Partially Supervised Learning With Limited Decentralized Medical Images. IEEE Trans. Medical Imaging Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu, Eric P. Xing
2023	J	`jnl`	zkFL: Zero-Knowledge Proof-based Gradient Aggregation for Federated Learning. CoRR Zhipeng Wang, Nanqing Dong, Jiahao Sun, William J. Knottenbelt
2022	B	`conf`	Computationally-Efficient Vision Transformer for Medical Image Semantic Segmentation Via Dual Pseudo-Label Supervision. ICIP Ziyang Wang, Nanqing Dong, Irina Voiculescu
2022	J	`jnl`	FLock: Defending Malicious Behaviors in Federated Learning with Blockchain. CoRR Nanqing Dong, Jiahao Sun, Zhipeng Wang, Shuoying Zhang, Shuhao Zheng
2022	—	`conf`	Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images. MICCAI (8) Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu
2022	J	`jnl`	Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images. CoRR Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu
2022	J	`jnl`	Negational symmetry of quantum neural networks for binary pattern classification. Pattern Recognit. Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu, Eric P. Xing
2022	J	`jnl`	Region Proposal Network Pre-Training Helps Label-Efficient Object Detection. CoRR Linus Ericsson, Nanqing Dong, Yongxin Yang, Ales Leonardis, Steven McDonagh
2022	A*	`conf`	Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images. IJCAI Nanqing Dong, Matteo Maggioni, Yongxin Yang, Eduardo Pérez-Pellitero, Ales Leonardis, Steven McDonagh
2022	—	`conf`	Revisiting Vicinal Risk Minimization for Partially Supervised Multi-Label Classification Under Data Scarcity. CVPR Workshops Nanqing Dong, Jiayi Wang, Irina Voiculescu
2022	J	`jnl`	Revisiting Vicinal Risk Minimization for Partially Supervised Multi-Label Classification Under Data Scarcity. CoRR Nanqing Dong, Jiayi Wang, Irina Voiculescu
2022	J	`jnl`	Towards robust partially supervised multi-structure medical image segmentation on small-scale data. Appl. Soft Comput. Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Min Xu, Irina Voiculescu, Eric P. Xing
2021	J	`jnl`	Cooperative Multi-Agent Actor-Critic for Privacy-Preserving Load Scheduling in a Residential Microgrid. CoRR Zhaoming Qin, Nanqing Dong, Eric P. Xing, Junwei Cao
2021	—	`conf`	Federated Contrastive Learning for Decentralized Unlabeled Medical Images. MICCAI (3) Nanqing Dong, Irina Voiculescu
2021	J	`jnl`	Federated Contrastive Learning for Decentralized Unlabeled Medical Images. CoRR Nanqing Dong, Irina Voiculescu
2021	J	`jnl`	Negational Symmetry of Quantum Neural Networks for Binary Pattern Classification. CoRR Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu, Eric P. Xing
2021	A	`conf`	Quantum Unsupervised Domain Adaptation: Does Entanglement Help? BMVC Nanqing Dong, Michael C. Kampffmeyer, Irina Voiculescu
2021	J	`jnl`	Residual Contrastive Learning for Joint Demosaicking and Denoising. CoRR Nanqing Dong, Matteo Maggioni, Yongxin Yang, Eduardo Pérez-Pellitero, Ales Leonardis, Steven McDonagh
2021	—	`conf`	Self-supervised Multi-task Representation Learning for Sequential Medical Images. ECML/PKDD (3) Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu
2020	A	`conf`	Adversarial Domain Adaptation Being Aware of Class Relationships. ECAI Zeya Wang, Baoyu Jing, Yang Ni, Nanqing Dong, Pengtao Xie, Eric P. Xing
2020	J	`jnl`	Towards Robust Medical Image Segmentation on Small-Scale Data with Incomplete Labels. CoRR Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Min Xu, Irina Voiculescu, Eric P. Xing
2019	J	`jnl`	Adversarial Domain Adaptation Being Aware of Class Relationships. CoRR Zeya Wang, Baoyu Jing, Yang Ni, Nanqing Dong, Pengtao Xie, Eric P. Xing
2019	J	`jnl`	ConnNet: A Long-Range Relation-Aware Pixel-Connectivity Network for Salient Segmentation. IEEE Trans. Image Process. Michael Kampffmeyer, Nanqing Dong, Xiaodan Liang, Yujia Zhang, Eric P. Xing
2019	—	`conf`	Ellipse Detection of Optic Disc-and-Cup Boundary in Fundus Images. ISBI Zeya Wang, Nanqing Dong, Sean D. Rosario, Min Xu, Pengtao Xie, Eric P. Xing
2019	—	`conf`	Neural Architecture Search for Adversarial Medical Image Segmentation. MICCAI (6) Nanqing Dong, Min Xu, Xiaodan Liang, Yiliang Jiang, Wei Dai, Eric P. Xing
2019	—	`conf`	Toward Understanding the Impact of Staleness in Distributed Machine Learning. ICLR (Poster) Wei Dai, Yi Zhou, Nanqing Dong, Hao Zhang, Eric P. Xing
2018	—	`conf`	Classification of Breast Cancer Histopathological Images using Convolutional Neural Networks with Hierarchical Loss and Global Pooling. ICIAR Zeya Wang, Nanqing Dong, Wei Dai, Sean D. Rosario, Eric P. Xing
2018	J	`jnl`	ConnNet: A Long-Range Relation-Aware Pixel-Connectivity Network for Salient Segmentation. CoRR Michael Kampffmeyer, Nanqing Dong, Xiaodan Liang, Yujia Zhang, Eric P. Xing
2018	—	`conf`	Domain Adaption in One-Shot Learning. ECML/PKDD (1) Nanqing Dong, Eric P. Xing
2018	A	`conf`	Few-Shot Semantic Segmentation with Prototype Learning. BMVC Nanqing Dong, Eric P. Xing
2018	—	`conf`	Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-Slide Images. DLMIA/ML-CDS@MICCAI Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric P. Xing
2018	J	`jnl`	Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-slide Images. CoRR Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric P. Xing
2018	—	`conf`	SCAN: Structure Correcting Adversarial Network for Organ Segmentation in Chest X-Rays. DLMIA/ML-CDS@MICCAI Wei Dai, Nanqing Dong, Zeya Wang, Xiaodan Liang, Hao Zhang, Eric P. Xing
2018	J	`jnl`	Toward Understanding the Impact of Staleness in Distributed Machine Learning. CoRR Wei Dai, Yi Zhou, Nanqing Dong, Hao Zhang, Eric P. Xing
2018	—	`conf`	Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio. MICCAI (2) Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric P. Xing
2018	J	`jnl`	Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio. CoRR Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric P. Xing
2017	J	`jnl`	SCAN: Structure Correcting Adversarial Network for Chest X-rays Organ Segmentation. CoRR Wei Dai, Joseph Doyle, Xiaodan Liang, Hao Zhang, Nanqing Dong, Yuan Li, Eric P. Xing