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2020 – today
- 2025
[j11]Guo-Hua Yuan
, Jinzhe Li, Zejun Yang, Yao-Qi Chen, Zhonghang Yuan, Tao Chen, Wanli Ouyang, Nanqing Dong, Li Yang:
Deep generative model for protein subcellular localization prediction. Briefings Bioinform. 26(2) (2025)- [j10]Zhipeng Wang, Nanqing Dong, Jiahao Sun, William Knottenbelt, Yike Guo:
$ \tt {zkFL}$zkFL: Zero-Knowledge Proof-Based Gradient Aggregation for Federated Learning. IEEE Trans. Big Data 11(2): 447-460 (2025) - [c30]Dingning Liu, Jinzhe Li, Haoyang Su, Bei Cui, Zhihui Wang, Qingbo Yuan, Wanli Ouyang, Nanqing Dong:
Towards Efficient and Intelligent Laser Weeding: Method and Dataset for Weed Stem Detection. AAAI 2025: 28204-28212 - [c29]Zhefan Wang, Huanjun Kong, Jie Ying, Wanli Ouyang, Nanqing Dong:
ROGRAG: A Robustly Optimized GraphRAG Framework. ACL (3) 2025: 604-613 - [c28]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:
Many Heads Are Better Than One: Improved Scientific Idea Generation by A LLM-Based Multi-Agent System. ACL (1) 2025: 28201-28240 - [c27]Jie Ying, Zihong Chen, Zhefan Wang, Wanli Jiang, Chenyang Wang, Zhonghang Yuan, Haoyang Su, Huanjun Kong, Fan Yang, Nanqing Dong:
SeedBench: A Multi-task Benchmark for Evaluating Large Language Models in Seed Science. ACL (1) 2025: 31395-31449 - [c26]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:
Biology-Instructions: A Dataset and Benchmark for Multi-Omics Sequence Understanding Capability of Large Language Models. EMNLP (Findings) 2025: 17984-18016 - [c25]Xiang Zhang, Jiaqi Wei, Zijie Qiu, Sheng Xu, Nanqing Dong, Zhiqiang Gao, Siqi Sun:
Curriculum Learning for Biological Sequence Prediction: The Case of De Novo Peptide Sequencing. ICML 2025 - [c24]Zijie Qiu, Jiaqi Wei, Xiang Zhang, Sheng Xu, Kai Zou, Zhi Jin, Zhiqiang Gao, Nanqing Dong, Siqi Sun:
Universal Biological Sequence Reranking for Improved De Novo Peptide Sequencing. ICML 2025 - [i37]Dingning Liu, Jinzhe Li, Haoyang Su, Bei Cui, Zhihui Wang, Qingbo Yuan, Wanli Ouyang, Nanqing Dong:
Towards Efficient and Intelligent Laser Weeding: Method and Dataset for Weed Stem Detection. CoRR abs/2502.06255 (2025) - [i36]Huanjun Kong, Zhefan Wang, Chenyang Wang, Zhe Ma, Nanqing Dong:
HuixiangDou2: A Robustly Optimized GraphRAG Approach. CoRR abs/2503.06474 (2025) - [i35]Renqi Chen, Haoyang Su, Shixiang Tang, Zhenfei Yin, Qi Wu, Hui Li, Ye Sun, Nanqing Dong, Wanli Ouyang, Philip Torr:
AI-Driven Automation Can Become the Foundation of Next-Era Science of Science Research. CoRR abs/2505.12039 (2025) - [i34]Jie Ying, Zihong Chen, Zhefan Wang, Wanli Jiang, Chenyang Wang, Zhonghang Yuan, Haoyang Su, Huanjun Kong, Fan Yang, Nanqing Dong:
SeedBench: A Multi-task Benchmark for Evaluating Large Language Models in Seed Science. CoRR abs/2505.13220 (2025) - [i33]Zijie Qiu, Jiaqi Wei, Xiang Zhang, Sheng Xu, Kai Zou, Zhi Jin, Zhiqiang Gao, Nanqing Dong, Siqi Sun:
Universal Biological Sequence Reranking for Improved De Novo Peptide Sequencing. CoRR abs/2505.17552 (2025) - [i32]Zihong Chen, Wanli Jiang, Jinzhe Li, Zhonghang Yuan, Huanjun Kong, Wanli Ouyang, Nanqing Dong:
GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation. CoRR abs/2505.20416 (2025) - [i31]Xiang Zhang, Jiaqi Wei, Zijie Qiu, Sheng Xu, Nanqing Dong, Zhiqiang Gao, Siqi Sun:
Curriculum Learning for Biological Sequence Prediction: The Case of De Novo Peptide Sequencing. CoRR abs/2506.13485 (2025) - [i30]Weilun Yu, Shixiang Tang, Yonggui Huang, Nanqing Dong, Li Fan, Honggang Qi, Wei Liu, Xiaoli Diao, Xi Chen, Wanli Ouyang:
Dynamic Knowledge Exchange and Dual-diversity Review: Concisely Unleashing the Potential of a Multi-Agent Research Team. CoRR abs/2506.18348 (2025) - [i29]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:
PRING: Rethinking Protein-Protein Interaction Prediction from Pairs to Graphs. CoRR abs/2507.05101 (2025) - [i28]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:
From AI for Science to Agentic Science: A Survey on Autonomous Scientific Discovery. CoRR abs/2508.14111 (2025) - [i27]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:
A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers. CoRR abs/2508.21148 (2025) - [i26]Xiang Zhang, Jiaqi Wei, Zijie Qiu, Sheng Xu, Zhi Jin, Zhiqiang Gao, Nanqing Dong, Siqi Sun:
Bidirectional Representations Augmented Autoregressive Biological Sequence Generation:Application in De Novo Peptide Sequencing. CoRR abs/2510.08169 (2025) - 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) - [c23]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 - [c22]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. IJCAI 2024: 7215-7223 - [c21]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. IJCAI 2024: 7367-7375 - [c20]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. IJCAI 2024: 7376-7384 - [c19]Lifeng Qiao, Peng Ye, Yuchen Ren, Weiqiang Bai, Chaoqi Liang, Xinzhu Ma, Nanqing Dong, Wanli Ouyang:
Model Decides How to Tokenize: Adaptive DNA Sequence Tokenization with MxDNA. NeurIPS 2024 - [c18]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:
Empowering and Assessing the Utility of Large Language Models in Crop Science. NeurIPS 2024 - [i25]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) - [i24]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) - [i23]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) - [i22]Haoyang Su, Renqi Chen, Shixiang Tang, Xinzhe Zheng, Jingzhe Li, Zhenfei Yin, Wanli Ouyang, Nanqing Dong:
Two Heads Are Better Than One: A Multi-Agent System Has the Potential to Improve Scientific Idea Generation. CoRR abs/2410.09403 (2024) - [i21]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:
COMET: Benchmark for Comprehensive Biological Multi-omics Evaluation Tasks and Language Models. CoRR abs/2412.10347 (2024) - [i20]Lifeng Qiao, Peng Ye, Yuchen Ren, Weiqiang Bai, Chaoqi Liang, Xinzhu Ma, Nanqing Dong, Wanli Ouyang:
Model Decides How to Tokenize: Adaptive DNA Sequence Tokenization with MxDNA. CoRR abs/2412.13716 (2024) - [i19]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:
Biology Instructions: A Dataset and Benchmark for Multi-Omics Sequence Understanding Capability of Large Language Models. CoRR abs/2412.19191 (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
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