J
Jun Guo
Researcher at Tsinghua University
Publications - 27
Citations - 975
Jun Guo is an academic researcher from Tsinghua University. The author has contributed to research in topics: Discriminative model & Feature selection. The author has an hindex of 12, co-authored 26 publications receiving 552 citations. Previous affiliations of Jun Guo include Dalian University of Technology.
Papers
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Journal ArticleDOI
AI-assisted CT imaging analysis for COVID-19 screening: Building and deploying a medical AI system.
Bo Wang,Shuo Jin,Qingsen Yan,Haibo Xu,Chuan Luo,Lai Wei,Wei Zhao,Hou Xuexue,Wenshuo Ma,Zhengqing Xu,Zhuozhao Zheng,Wenbo Sun,Lan Lan,Wei Zhang,Xiangdong Mu,Chenxi Shi,Zhong-Xiao Wang,Jihae Lee,Zijian Jin,Minggui Lin,Jin Hongbo,Liang Zhang,Jun Guo,Benqi Zhao,Zhizhong Ren,Shuhao Wang,Wei Xu,Xinghuan Wang,Jianming Wang,Jianming Wang,Zheng You,Jiahong Dong +31 more
TL;DR: An AI system that automatically analyzes CT images and provides the probability of infection to rapidly detect COVID-19 pneumonia and is able to overcome a series of challenges in this particular situation and deploy the system in four weeks.
Posted ContentDOI
AI-assisted CT imaging analysis for COVID-19 screening: Building and deploying a medical AI system in four weeks
Shuo Jin,Bo Wang,Haibo Xu,Chuan Luo,Lai Wei,Wei Zhao,Hou Xuexue,Wenshuo Ma,Zhengqing Xu,Zhuozhao Zheng,Wenbo Sun,Lan Lan,Zhang Wei,Xiangdong Mu,Chenxi Shi,Zhong-Xiao Wang,Jihae Lee,Zijian Jin,Minggui Lin,Jin Hongbo,Liang Zhang,Jun Guo,Benqi Zhao,Zhizhong Ren,Shuhao Wang,Zheng You,Jiahong Dong,Xinghuan Wang,Jianming Wang,Jianming Wang,Wei Xu +30 more
TL;DR: An AI system that automatically analyzes CT images to detect COVID-19 pneumonia features and was able to overcome a series of challenges in this particular situation and deploy the system in four weeks.
Proceedings ArticleDOI
Personalized fairness-aware re-ranking for microlending
TL;DR: A Fairness-Aware Re-ranking (FAR) algorithm to balance ranking quality and borrower-side fairness, which can significantly promote fairness with little sacrifice in accuracy, and be attentive to individual lender preference on loan diversity.
Proceedings Article
Discriminative analysis dictionary learning
TL;DR: This paper presents a novel DL method, namely Discriminative Analysis Dictionary Learning (DADL), to improve the classification performance of ADL by integrating a code consistent term integrated into the basic analysis model to improve discriminability.
Proceedings Article
Dependence Guided Unsupervised Feature Selection
TL;DR: This work proposes a Dependence Guided Unsupervised Feature Selection (DGUFS) method to select features and partition data in a joint manner and utilizes the learned cluster labels to fill in the information gap between original data and selected features.