| Multi-view subspace clustering H Gao, F Nie, X Li, H Huang Proceedings of the IEEE international conference on computer vision, 4238-4246, 2015 | 646 | 2015 |
| Deep attributed network embedding H Gao, H Huang Twenty-Seventh International Joint Conference on Artificial Intelligence …, 2018 | 318 | 2018 |
| 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 | 136 | 2019 |
| Communication-Efficient Stochastic Gradient Descent Ascent with Momentum Algorithms. Y Zhang, M Qiu, H Gao IJCAI, 4602-4610, 2023 | 91 | 2023 |
| 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 | 78 | 2015 |
| 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 | 64 | 2021 |
| Self-paced network embedding H Gao, H Huang Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 64 | 2018 |
| 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 | 63 | 2019 |
| Set-level guidance attack: Boosting adversarial transferability of vision-language pre-training models D Lu, Z Wang, T Wang, W Guan, H Gao, F Zheng Proceedings of the IEEE/CVF International Conference on Computer Vision, 102-111, 2023 | 56 | 2023 |
| 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 | 42 | 2021 |
| 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 | 38 | 2022 |
| Stochastic bilevel distributed optimization over a network H Gao, B Gu, MT Thai arXiv preprint arXiv:2206.15025, 2022 | 34* | 2022 |
| Local centroids structured non-negative matrix factorization H Gao, F Nie, H Huang Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017 | 34 | 2017 |
| 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 | 33 | 2016 |
| 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 | 30 | 2018 |
| 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 | 30 | 2018 |
| Periodic stochastic gradient descent with momentum for decentralized training H Gao, H Huang arXiv preprint arXiv:2008.10435, 2020 | 27 | 2020 |
| When decentralized optimization meets federated learning H Gao, MT Thai, J Wu IEEE network 37 (5), 233-239, 2023 | 25 | 2023 |
| Demystifying dropout H Gao, J Pei, H Huang International conference on machine learning, 2112-2121, 2019 | 25 | 2019 |
| On the convergence of local stochastic compositional gradient descent with momentum H Gao, J Li, H Huang International Conference on Machine Learning, 7017-7035, 2022 | 20 | 2022 |
