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Hongchang Gao
Hongchang Gao
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Title
Cited by
Cited by
Year
Multi-view subspace clustering
H Gao, F Nie, X Li, H Huang
Proceedings of the IEEE international conference on computer vision, 4238-4246, 2015
3742015
Deep attributed network embedding
H Gao, H Huang
Twenty-Seventh International Joint Conference on Artificial Intelligence …, 2018
2162018
Robust capped norm nonnegative matrix factorization: Capped norm nmf
H Gao, F Nie, W Cai, H Huang
Proceedings of the 24th ACM International on Conference on Information and …, 2015
632015
Progan: Network embedding via proximity generative adversarial network
H Gao, J Pei, H Huang
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
562019
Self-paced network embedding
H Gao, H Huang
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
502018
Conditional random field enhanced graph convolutional neural networks
H Gao, J Pei, H Huang
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
402019
The l2, 1-norm stacked robust autoencoders for domain adaptation
W Jiang, H Gao, F Chung, H Huang
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
322016
Local centroids structured non-negative matrix factorization
H Gao, F Nie, H Huang
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
262017
Attention convolutional neural network for advertiser-level click-through rate forecasting
H Gao, D Kong, M Lu, X Bai, J Yang
Proceedings of the 2018 World Wide Web Conference, 1855-1864, 2018
182018
On the convergence of communication-efficient local sgd for federated learning
H Gao, A Xu, H Huang
Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 7510-7518, 2021
172021
Stacked robust adaptively regularized auto-regressions for domain adaptation
W Jiang, H Gao, W Lu, W Liu, FL Chung, H Huang
IEEE Transactions on Knowledge and Data Engineering 31 (3), 561-574, 2018
172018
Demystifying dropout
H Gao, J Pei, H Huang
International Conference on Machine Learning, 2112-2121, 2019
152019
Periodic stochastic gradient descent with momentum for decentralized training
H Gao, H Huang
arXiv preprint arXiv:2008.10435, 2020
112020
Can stochastic zeroth-order Frank-Wolfe method converge faster for non-convex problems?
H Gao, H Huang
International Conference on Machine Learning, 3377-3386, 2020
102020
Joint generative moment-matching network for learning structural latent code
H Gao, H Huang
27th International Joint Conference on Artificial Intelligence (IJCAI 2018), 2018
92018
New robust clustering model for identifying cancer genome landscapes
H Gao, X Wang, H Huang
2016 IEEE 16th International Conference on Data Mining (ICDM), 151-160, 2016
92016
Stochastic second-order method for large-scale nonconvex sparse learning models
H Gao, H Huang
27th International Joint Conference on Artificial Intelligence (IJCAI 2018), 2018
82018
Identifying connectome module patterns via new balanced multi-graph normalized cut
H Gao, C Cai, J Yan, L Yan, J Goni Cortes, Y Wang, F Nie, J West, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2015
72015
Par-gan: Improving the generalization of generative adversarial networks against membership inference attacks
J Chen, WH Wang, H Gao, X Shi
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
62021
Sample Efficient Decentralized Stochastic Frank-Wolfe Methods for Continuous DR-Submodular Maximization.
H Gao, H Xu, S Vucetic
IJCAI, 3501-3507, 2021
42021
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