Quanquan Gu
Quanquan Gu
Assistant Professor of Computer Science, UCLA
Verifierad e-postadress på cs.ucla.edu - Startsida
Titel
Citeras av
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År
Active learning: A survey
CC Aggarwal, X Kong, Q Gu, J Han, SY Philip
Data Classification: Algorithms and Applications, 571-605, 2014
1755*2014
Generalized fisher score for feature selection
Q Gu, Z Li, J Han
Proceedings of the Twenty-Seventh Conference on Uncertainty in Artificial …, 2012
4552012
Personalized entity recommendation: A heterogeneous information network approach
X Yu, X Ren, Y Sun, Q Gu, B Sturt, U Khandelwal, B Norick, J Han
Proceedings of the 7th ACM international conference on Web search and data …, 2014
3422014
Collaborative filtering: Weighted nonnegative matrix factorization incorporating user and item graphs
Q Gu, J Zhou, C Ding
Proceedings of the 2010 SIAM international conference on data mining, 199-210, 2010
2302010
Co-clustering on manifolds
Q Gu, J Zhou
Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009
2132009
Joint feature selection and subspace learning
Q Gu, Z Li, J Han
Twenty-Second International Joint Conference on Artificial Intelligence, 2011
1772011
Gradient descent optimizes over-parameterized deep ReLU networks
D Zou, Y Cao, D Zhou, Q Gu
Machine Learning, 1-26, 2019
1642019
Learning the shared subspace for multi-task clustering and transductive transfer classification
Q Gu, J Zhou
2009 Ninth IEEE International Conference on Data Mining, 159-168, 2009
1452009
Citation prediction in heterogeneous bibliographic networks
X Yu, Q Gu, M Zhou, J Han
Proceedings of the 2012 SIAM International Conference on Data Mining, 1119-1130, 2012
1082012
Clustered support vector machines
Q Gu, J Han
International Conference on Artificial Intelligence and Statistics, 307-315, 2013
1072013
Recommendation in heterogeneous information networks with implicit user feedback
X Yu, X Ren, Y Sun, B Sturt, U Khandelwal, Q Gu, B Norick, J Han
Proceedings of the 7th ACM conference on Recommender systems, 347-350, 2013
1032013
Latent community topic analysis: Integration of community discovery with topic modeling
Z Yin, L Cao, Q Gu, J Han
ACM Transactions on Intelligent Systems and Technology (TIST) 3 (4), 1-21, 2012
952012
Cluscite: Effective citation recommendation by information network-based clustering
X Ren, J Liu, X Yu, U Khandelwal, Q Gu, L Wang, J Han
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
902014
Correlated multi-label feature selection
Q Gu, Z Li, J Han
Proceedings of the 20th ACM international conference on Information and …, 2011
802011
A network-assisted co-clustering algorithm to discover cancer subtypes based on gene expression
Y Liu, Q Gu, JP Hou, J Han, J Ma
BMC bioinformatics 15 (1), 1-11, 2014
762014
High dimensional em algorithm: Statistical optimization and asymptotic normality
Z Wang, Q Gu, Y Ning, H Liu
Advances in neural information processing systems, 2521-2529, 2015
75*2015
Linear discriminant dimensionality reduction
Q Gu, Z Li, J Han
Joint European conference on machine learning and knowledge discovery in …, 2011
652011
Stochastic nested variance reduction for nonconvex optimization
D Zhou, P Xu, Q Gu
Advances in Neural Information Processing Systems, 3921-3932, 2018
63*2018
Local learning regularized nonnegative matrix factorization
Q Gu, J Zhou
Twenty-First International Joint Conference on Artificial Intelligence, 2009
632009
Generalization error bounds of gradient descent for learning overparameterized deep relu networks
Y Cao, Q Gu
AAAI, 2020
59*2020
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Artiklar 1–20