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Hongchang Gao
Hongchang Gao
Verifierad e-postadress på temple.edu - Startsida
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Multi-view subspace clustering
H Gao, F Nie, X Li, H Huang
Proceedings of the IEEE international conference on computer vision, 4238-4246, 2015
5562015
Deep attributed network embedding
H Gao, H Huang
Twenty-Seventh International Joint Conference on Artificial Intelligence …, 2018
2902018
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
1042019
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
762015
Self-paced network embedding
H Gao, H Huang
Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018
612018
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
532019
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
482021
Local centroids structured non-negative matrix factorization
H Gao, F Nie, H Huang
Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017
342017
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
332016
Communication-efficient stochastic gradient descent ascent with momentum algorithms
Y Zhang, M Qiu, H Gao
IJCAI, 2023
302023
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
292021
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
262018
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
242018
Demystifying dropout
H Gao, J Pei, H Huang
International conference on machine learning, 2112-2121, 2019
222019
Periodic stochastic gradient descent with momentum for decentralized training
H Gao, H Huang
arXiv preprint arXiv:2008.10435, 2020
212020
Stochastic bilevel distributed optimization over a network
H Gao, B Gu, MT Thai
arXiv preprint arXiv:2206.15025, 2022
18*2022
Robust self-supervised structural graph neural network for social network prediction
Y Zhang, H Gao, J Pei, H Huang
Proceedings of the ACM Web Conference 2022, 1352-1361, 2022
172022
Fast training method for stochastic compositional optimization problems
H Gao, H Huang
Advances in Neural Information Processing Systems 34, 25334-25345, 2021
142021
Decentralized stochastic gradient descent ascent for finite-sum minimax problems
H Gao
arXiv preprint arXiv:2212.02724, 2022
132022
On the convergence of momentum-based algorithms for federated stochastic bilevel optimization problems
H Gao
arXiv preprint arXiv:2204.13299, 2022
132022
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Artiklar 1–20