| Knowledge-enhanced black-box attacks for recommendations J Chen, W Fan, G Zhu, X Zhao, C Yuan, Q Li, Y Huang Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 49 | 2022 |
| DIFER: differentiable automated feature engineering G Zhu, Z Xu, C Yuan, Y Huang International Conference on Automated Machine Learning, 17/1-17, 2022 | 29 | 2022 |
| AutoGSR: Neural architecture search for graph-based session recommendation J Chen, G Zhu, H Hou, C Yuan, Y Huang Proceedings of the 45th international ACM SIGIR conference on research and …, 2022 | 28 | 2022 |
| Forestlayer: Efficient training of deep forests on distributed task-parallel platforms G Zhu, Q Hu, R Gu, C Yuan, Y Huang Journal of Parallel and Distributed Computing 132, 113-126, 2019 | 25 | 2019 |
| Adamcl: Adaptive fusion multi-view contrastive learning for collaborative filtering G Zhu, W Lu, C Yuan, Y Huang Proceedings of the 46th international ACM SIGIR conference on research and …, 2023 | 19 | 2023 |
| Towards self-supervised learning on graphs with heterophily J Chen, G Zhu, Y Qi, C Yuan, Y Huang Proceedings of the 31st ACM International Conference on Information …, 2022 | 18 | 2022 |
| A2: Efficient automated attacker for boosting adversarial training Z Xu, G Zhu, C Meng, Z Ying, W Wang, M Gu, Y Huang Advances in Neural Information Processing Systems 35, 22844-22855, 2022 | 14 | 2022 |
| Semi-supervised embedding learning for high-dimensional Bayesian optimization J Chen, G Zhu, C Yuan, Y Huang arXiv preprint arXiv:2005.14601, 2020 | 14 | 2020 |
| Evolutionary automated feature engineering G Zhu, S Jiang, X Guo, C Yuan, Y Huang Pacific Rim International Conference on Artificial Intelligence, 574-586, 2022 | 13 | 2022 |
| Accelerating hyperparameter optimization of deep neural network via progressive multi-fidelity evaluation G Zhu, R Zhu Advances in Knowledge Discovery and Data Mining: 24th Pacific-Asia …, 2020 | 13 | 2020 |
| Autoac: Towards automated attribute completion for heterogeneous graph neural network G Zhu, Z Zhu, W Wang, Z Xu, C Yuan, Y Huang 2023 IEEE 39th International Conference on Data Engineering (ICDE), 2808-2821, 2023 | 12 | 2023 |
| Efficient and scalable functional dependency discovery on distributed data-parallel platforms G Zhu, Q Wang, Q Tang, R Gu, C Yuan, Y Huang IEEE Transactions on Parallel and Distributed Systems 30 (12), 2663-2676, 2019 | 12 | 2019 |
| Psp: Progressive space pruning for efficient graph neural architecture search G Zhu, W Wang, Z Xu, F Cheng, M Qiu, C Yuan, Y Huang 2022 IEEE 38th International Conference on Data Engineering (ICDE), 2168-2181, 2022 | 11 | 2022 |
| NAS-CTR: efficient neural architecture search for click-through rate prediction G Zhu, F Cheng, D Lian, C Yuan, Y Huang Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 10 | 2022 |
| One-Stage Tree: end-to-end tree builder and pruner Z Xu, G Zhu, C Yuan, Y Huang Machine Learning 111 (5), 1959-1985, 2022 | 9 | 2022 |
| SCoS: 基于 Spark 的并行谱聚类算法设计与实现 朱光辉， 黄圣彬， 袁春风， 黄宜华 计算机学报 41 (4), 868-885, 2018 | 8 | 2018 |
| Simple and efficient partial graph adversarial attack: A new perspective G Zhu, M Chen, C Yuan, Y Huang IEEE Transactions on Knowledge and Data Engineering, 2024 | 7 | 2024 |
| Boosting graph anomaly detection with adaptive message passing J Chen, G Zhu, C Yuan, Y Huang The Twelfth International Conference on Learning Representations, 2024 | 7 | 2024 |
| DGST: efficient and scalable suffix tree construction on distributed data-parallel platforms G Zhu, C Guo, L Lu, Z Huang, C Yuan, R Gu, Y Huang Parallel Computing 87, 87-102, 2019 | 7 | 2019 |
| Operation-level early stopping for robustifying differentiable NAS S Jiang, Z Ji, G Zhu, C Yuan, Y Huang Advances in Neural Information Processing Systems 36, 70983-71007, 2023 | 6 | 2023 |
