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
2305*2014
Generalized fisher score for feature selection
Q Gu, Z Li, J Han
Proceedings of the Twenty-Seventh Conference on Uncertainty in Artificial …, 2012
6512012
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
5022014
Gradient descent optimizes over-parameterized deep ReLU networks
D Zou, Y Cao, D Zhou, Q Gu
Machine Learning, 1-26, 2019
3422019
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
2722010
Co-clustering on manifolds
Q Gu, J Zhou
Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009
2482009
Joint feature selection and subspace learning
Q Gu, Z Li, J Han
International Joint Conference on Artificial Intelligence 22 (1), 1294, 2011
2072011
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
1642009
Generalization bounds of stochastic gradient descent for wide and deep neural networks
Y Cao, Q Gu
Advances in neural information processing systems, 2019
1442019
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
1342013
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
1322012
Improving adversarial robustness requires revisiting misclassified examples
Y Wang, D Zou, J Yi, J Bailey, X Ma, Q Gu
International Conference on Learning Representations, 2019
1312019
Stochastic nested variance reduction for nonconvex optimization
D Zhou, P Xu, Q Gu
Advances in Neural Information Processing Systems, 3921-3932, 2018
129*2018
Clustered support vector machines
Q Gu, J Han
International Conference on Artificial Intelligence and Statistics, 307-315, 2013
1272013
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
1242019
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
1222014
Generalization error bounds of gradient descent for learning overparameterized deep relu networks
Y Cao, Q Gu
AAAI, 2020
114*2020
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
1122017
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
1062012
An improved analysis of training over-parameterized deep neural networks
D Zou, Q Gu
Advances in neural information processing systems, 2019
1022019
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Articles 1–20