Quanquan Gu

University of California, Los Angeles
United States

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Computer Science D-index 45 Citations 7,825 215 World Ranking 4619 National Ranking 2309

Overview

What are the main themes of his work throughout his whole career to date

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.

Quanquan Gu most often published in these fields:

Disease (100.00%)
Pathology (100.00%)
Temporal lobe (50.00%)

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.

Best Publications

Personalized entity recommendation: a heterogeneous information network approach

Xiao Yu;Xiang Ren;Yizhou Sun;Quanquan Gu.
web search and data mining (2014)

591 Citations

Generalized Fisher score for feature selection

Quanquan Gu;Zhenhui Li;Jiawei Han.
uncertainty in artificial intelligence (2011)

439 Citations

Gradient descent optimizes over-parameterized deep ReLU networks

Difan Zou;Yuan Cao;Dongruo Zhou;Quanquan Gu.
Machine Learning (2020)

399 Citations

Stochastic Gradient Descent Optimizes Over-parameterized Deep ReLU Networks

Difan Zou;Yuan Cao;Dongruo Zhou;Quanquan Gu.
arXiv: Learning (2018)

320 Citations

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)

290 Citations

Co-clustering on manifolds

Quanquan Gu;Jie Zhou.
knowledge discovery and data mining (2009)

266 Citations

Joint feature selection and subspace learning

Quanquan Gu;Zhenhui Li;Jiawei Han.
international joint conference on artificial intelligence (2011)

213 Citations

Learning the Shared Subspace for Multi-task Clustering and Transductive Transfer Classification

Quanquan Gu;Jie Zhou.
international conference on data mining (2009)

178 Citations

Recommendation in heterogeneous information networks with implicit user feedback

Xiao Yu;Xiang Ren;Yizhou Sun;Bradley Sturt.
conference on recommender systems (2013)

166 Citations

Improving Adversarial Robustness Requires Revisiting Misclassified Examples

Yisen Wang;Difan Zou;Jinfeng Yi;James Bailey.
international conference on learning representations (2020)

161 Citations

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Frequent Co-Authors

External Links

Personal Website for Quanquan Gu