His Statistics investigation overlaps with other disciplines such as Actuarial science, Demography and Econometrics. He performs integrative study on Demography and Statistics in his works. Disease is closely attributed to Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in his work. His research ties Infectious disease (medical specialty) and Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) together. His research brings together the fields of Disease and Infectious disease (medical specialty). He combines topics linked to Atrophy with his work on Pathology. His studies link Internal medicine with Atrophy. He performs integrative Internal medicine and Cardiology research in his work. In his work, Quanquan Gu performs multidisciplinary research in Cardiology and Pathology.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Personalized entity recommendation: a heterogeneous information network approach
Xiao Yu;Xiang Ren;Yizhou Sun;Quanquan Gu.
web search and data mining (2014)
Generalized Fisher score for feature selection
Quanquan Gu;Zhenhui Li;Jiawei Han.
uncertainty in artificial intelligence (2011)
Gradient descent optimizes over-parameterized deep ReLU networks
Difan Zou;Yuan Cao;Dongruo Zhou;Quanquan Gu.
Machine Learning (2020)
Stochastic Gradient Descent Optimizes Over-parameterized Deep ReLU Networks
Difan Zou;Yuan Cao;Dongruo Zhou;Quanquan Gu.
arXiv: Learning (2018)
Collaborative filtering: Weighted nonnegative matrix factorization incorporating user and item graphs
Quanquan Gu;Jie Zhou;Chris H. Q. Ding.
siam international conference on data mining (2010)
Co-clustering on manifolds
Quanquan Gu;Jie Zhou.
knowledge discovery and data mining (2009)
Joint feature selection and subspace learning
Quanquan Gu;Zhenhui Li;Jiawei Han.
international joint conference on artificial intelligence (2011)
Learning the Shared Subspace for Multi-task Clustering and Transductive Transfer Classification
Quanquan Gu;Jie Zhou.
international conference on data mining (2009)
Recommendation in heterogeneous information networks with implicit user feedback
Xiao Yu;Xiang Ren;Yizhou Sun;Bradley Sturt.
conference on recommender systems (2013)
Improving Adversarial Robustness Requires Revisiting Misclassified Examples
Yisen Wang;Difan Zou;Jinfeng Yi;James Bailey.
international conference on learning representations (2020)
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