| 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 | 27 | 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 | 24 | 2019 |
| 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 | 17 | 2022 |
| DIFER: differentiable automated feature engineering G Zhu, Z Xu, C Yuan, Y Huang International Conference on Automated Machine Learning, 17/1-17, 2022 | 12 | 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 | 10 | 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 | 9 | 2020 |
| Semi-supervised embedding learning for high-dimensional bayesian optimization J Chen, G Zhu, C Yuan, Y Huang arXiv preprint arXiv:2005.14601, 2020 | 8 | 2020 |
| 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 | 8 | 2019 |
| 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 | 7 | 2022 |
| 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 |
| 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 | 6 | 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 | 5 | 2022 |
| 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 | 5 | 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 | 5 | 2022 |
| Transition relation aware self-attention for session-based recommendation G Zhu, H Hou, J Chen, C Yuan, Y Huang arXiv preprint arXiv:2203.06407, 2022 | 4 | 2022 |
| 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 | 3 | 2023 |
| HyMJ: A hybrid structure-aware approach to distributed multi-way join query G Zhu, X Wu, L Yin, H Wang, R Gu, C Yuan, Y Huang 2019 IEEE 35th International Conference on Data Engineering (ICDE), 1726-1729, 2019 | 3 | 2019 |
| Evolutionary automated feature engineering G Zhu, S Jiang, X Guo, C Yuan, Y Huang Pacific Rim International Conference on Artificial Intelligence, 574-586, 2022 | 2 | 2022 |
| 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 | 1 | 2024 |
| Automj: Towards efficient multi-way join query on distributed data-parallel platform G Zhu, X Wu, R Gu, C Yuan, Y Huang 2017 IEEE 23rd International Conference on Parallel and Distributed Systems …, 2017 | 1 | 2017 |
