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Nan Lin
Researcher at Harvard University
Publications - 1220
Citations - 65601
Nan Lin is an academic researcher from Harvard University. The author has contributed to research in topics: Medicine & Breast cancer. The author has an hindex of 105, co-authored 687 publications receiving 54545 citations. Previous affiliations of Nan Lin include University of Michigan & Fujian Medical University.
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Journal ArticleDOI
Molecular analysis and prenatal diagnosis of seven Chinese families with genetic epilepsy
Bin Mao,Nan Lin,Danhua Guo,Deqin He,Huili Xue,Lingji Chen,Qianqian He,Min Zhang,Meihuan Chen,Hailong Huang,Liangpu Xu +10 more
TL;DR: Wang et al. as discussed by the authors used whole-exome sequencing (WES) combined with Sanger sequencing to identify the causative variants associated with the diseases in addition to essential imaging and biomedical examination.
Time efficient joint optimization federated learning over wireless communication networks
TL;DR: A communication-FL joint optimization (CFJO) algorithm is introduced by jointly considering the effects of uplink resource, energy consumption and latency constraints to improve the model training efficiency and convergence performance with lower interruption probability under the latency constraint.
Journal ArticleDOI
Athletes' Goal Orientations and Attitudes towards Doping: Moral Disengagement in Sport as a Mediator.
Nan Lin,Cong Wang,Wenwen Shi +2 more
TL;DR: In this paper , the authors explored the characteristics of moral disengagement in sport and its mediating role in athletes' goal orientations and their attitudes towards doping and found that male athletes' scores were significantly higher than those of female athletes.
Journal ArticleDOI
Ultra-Fine Entity Typing with Prior Knowledge about Labels: A Simple Clustering Based Strategy
TL;DR: The authors used pre-trained label embeddings to cluster the labels into semantic domains and then treated these domains as additional types, which consistently leads to improved results, as long as high-quality label embedding are used.
Proceedings ArticleDOI
Intelligent Fault Diagnosis Method of Capacitor Voltage Transformer based on Recurrent Neural Network
TL;DR: In this article , a neural network model based on Wild Horse Optimizer (WHO) was designed for automatic intelligent diagnosis of voltage transformer (CVT) faults, which can intelligently judge the cause of CVT faults through online data and predict the fault location as early as possible.