| Auto-keras: An efficient neural architecture search system H Jin, Q Song, X Hu Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 1272* | 2019 |
| Tensor completion algorithms in big data analytics Q Song, H Ge, J Caverlee, X Hu ACM Transactions on Knowledge Discovery from Data (TKDD) 13 (1), 1-48, 2019 | 301 | 2019 |
| Auto-gnn: Neural architecture search of graph neural networks K Zhou, X Huang, Q Song, R Chen, X Hu Frontiers in big Data 5, 1029307, 2022 | 200 | 2022 |
| Towards explanation of dnn-based prediction with guided feature inversion M Du, N Liu, Q Song, X Hu Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 161 | 2018 |
| Autokeras: An automl library for deep learning H Jin, F Chollet, Q Song, X Hu Journal of machine Learning research 24 (6), 1-6, 2023 | 128 | 2023 |
| Graph recurrent networks with attributed random walks X Huang, Q Song, Y Li, X Hu Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 119 | 2019 |
| Towards automated neural interaction discovery for click-through rate prediction Q Song, D Cheng, H Zhou, J Yang, Y Tian, X Hu Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 98 | 2020 |
| Multi-aspect streaming tensor completion Q Song, X Huang, H Ge, J Caverlee, X Hu Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017 | 84 | 2017 |
| Techniques for automated machine learning YW Chen, Q Song, X Hu ACM SIGKDD Explorations Newsletter 22 (2), 35-50, 2021 | 73 | 2021 |
| Multi-channel graph neural networks K Zhou, Q Song, X Huang, D Zha, N Zou, X Hu International Joint Conferences on Artificial Intelligence, 2020 | 55* | 2020 |
| Exploring expert cognition for attributed network embedding X Huang, Q Song, J Li, X Hu Proceedings of the Eleventh ACM International Conference on Web Search and …, 2018 | 47 | 2018 |
| Multi-label adversarial perturbations Q Song, H Jin, X Huang, X Hu 2018 IEEE International Conference on Data Mining (ICDM), 1242-1247, 2018 | 45 | 2018 |
| Large-scale heterogeneous feature embedding X Huang, Q Song, F Yang, X Hu Proceedings of the AAAI conference on artificial intelligence 33 (01), 3878-3885, 2019 | 33 | 2019 |
| Geometric Graph Representation Learning via Maximizing Rate Reduction X Han, Z Jiang, N Liu, Q Song, J Li, X Hu The Web Conference (WWW), 2022 | 29 | 2022 |
| Automated Machine Learning in Action Q Song, H Jin, X Hu Manning Publications, 2022 | 27 | 2022 |
| Autorec: An automated recommender system TH Wang, X Hu, H Jin, Q Song, X Han, Z Liu Proceedings of the 14th ACM Conference on Recommender Systems, 582-584, 2020 | 25 | 2020 |
| Subarchitecture ensemble pruning in neural architecture search Y Bian, Q Song, M Du, J Yao, H Chen, X Hu IEEE Transactions on Neural Networks and Learning Systems 33 (12), 7928-7936, 2021 | 21 | 2021 |
| Towards Interaction Detection Using Topological Analysis on Neural Networks Z Liu, Q Song, K Zhou, TH Wang, Y Shan, X Hu Advances in Neural Information Processing Systems 33, 6390-6401, 2020 | 19* | 2020 |
| Coupled variational recurrent collaborative filtering Q Song, S Chang, X Hu Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 15 | 2019 |
| QuantEase: Optimization-based Quantization for Language Models K Behdin, A Acharya, A Gupta, Q Song, S Zhu, S Keerthi, R Mazumder arXiv e-prints, arXiv: 2309.01885, 2023 | 14* | 2023 |
Xia "Ben" HuAssociate Professor of Computer Science, Rice University在 rice.edu 的电子邮件经过验证