Quanquan Gu
Title
Cited by
Cited by
Year
Active learning: A survey
CC Aggarwal, X Kong, Q Gu, J Han, SY Philip
Data Classification: Algorithms and Applications, 571-605, 2014
2124*2014
Generalized fisher score for feature selection
Q Gu, Z Li, J Han
Proceedings of the Twenty-Seventh Conference on Uncertainty in Artificial …, 2012
5752012
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
4332014
Gradient descent optimizes over-parameterized deep ReLU networks
D Zou, Y Cao, D Zhou, Q Gu
Machine Learning, 1-26, 2019
2772019
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
2572010
Co-clustering on manifolds
Q Gu, J Zhou
Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009
2342009
Joint feature selection and subspace learning
Q Gu, Z Li, J Han
International Joint Conference on Artificial Intelligence 22 (1), 1294, 2011
1962011
Learning a 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
1562009
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
1262013
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
1262012
Clustered support vector machines
Q Gu, J Han
International Conference on Artificial Intelligence and Statistics, 307-315, 2013
1222013
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
1152014
Generalization bounds of stochastic gradient descent for wide and deep neural networks
Y Cao, Q Gu
Advances in neural information processing systems, 2019
1122019
Stochastic nested variance reduction for nonconvex optimization
D Zhou, P Xu, Q Gu
Advances in Neural Information Processing Systems, 3921-3932, 2018
107*2018
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
1042012
Generalization error bounds of gradient descent for learning overparameterized deep relu networks
Y Cao, Q Gu
AAAI, 2020
98*2020
High dimensional em algorithm: Statistical optimization and asymptotic normality
Z Wang, Q Gu, Y Ning, H Liu
Advances in neural information processing systems 28, 2512, 2015
97*2015
Global convergence of Langevin dynamics based algorithms for nonconvex optimization
P Xu, J Chen, D Zou, Q Gu
Advances in neural information processing systems, 2017
942017
Correlated multi-label feature selection
Q Gu, Z Li, J Han
Proceedings of the 20th ACM international conference on Information and …, 2011
882011
On the Convergence and Robustness of Adversarial Training.
Y Wang, X Ma, J Bailey, J Yi, B Zhou, Q Gu
International Conference on Machine Learning 1, 2, 2019
832019
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Articles 1–20