| Openbox: A generalized black-box optimization service Y Li, Y Shen, W Zhang, Y Chen, H Jiang, M Liu, J Jiang, J Gao, W Wu, ... Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 43 | 2021 |
| VolcanoML: speeding up end-to-end AutoML via scalable search space decomposition Y Li, Y Shen, W Zhang, C Zhang, B Cui The VLDB Journal 32 (2), 389-413, 2023 | 26 | 2023 |
| ROD: reception-aware online distillation for sparse graphs W Zhang, Y Jiang, Y Li, Z Sheng, Y Shen, X Miao, L Wang, Z Yang, B Cui Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 17 | 2021 |
| Pasca: A graph neural architecture search system under the scalable paradigm W Zhang, Y Shen, Z Lin, Y Li, X Li, W Ouyang, Y Tao, Z Yang, B Cui Proceedings of the ACM Web Conference 2022, 1817-1828, 2022 | 15 | 2022 |
| Grain: Improving data efficiency of graph neural networks via diversified influence maximization W Zhang, Z Yang, Y Wang, Y Shen, Y Li, L Wang, B Cui arXiv preprint arXiv:2108.00219, 2021 | 15 | 2021 |
| Mfes-hb: Efficient hyperband with multi-fidelity quality measurements Y Li, Y Shen, J Jiang, J Gao, C Zhang, B Cui Proceedings of the AAAI Conference on Artificial Intelligence 35 (10), 8491-8500, 2021 | 15 | 2021 |
| Hyper-tune: towards efficient hyper-parameter tuning at scale Y Li, Y Shen, H Jiang, W Zhang, J Li, J Liu, C Zhang, B Cui arXiv preprint arXiv:2201.06834, 2022 | 8 | 2022 |
| ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-cost Proxies Y Shen, Y Li, J Zheng, W Zhang, P Yao, J Li, S Yang, J Liu, B Cui arXiv preprint arXiv:2110.10423, 2021 | 8 | 2021 |
| Alg: Fast and accurate active learning framework for graph convolutional networks W Zhang, Y Shen, Y Li, L Chen, Z Yang, B Cui Proceedings of the 2021 International Conference on Management of Data, 2366 …, 2021 | 8 | 2021 |
| Gmlp: Building scalable and flexible graph neural networks with feature-message passing W Zhang, Y Shen, Z Lin, Y Li, X Li, W Ouyang, Y Tao, Z Yang, B Cui arXiv preprint arXiv:2104.09880, 2021 | 8 | 2021 |
| TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning Y Li, Y Shen, H Jiang, W Zhang, Z Yang, C Zhang, B Cui Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 5 | 2022 |
| Transfer Learning based Search Space Design for Hyperparameter Tuning Y Li, Y Shen, H Jiang, T Bai, W Zhang, C Zhang, B Cui Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 4 | 2022 |
| AutoDC: an automatic machine learning framework for disease classification Y Bai, Y Li, Y Shen, M Yang, W Zhang, B Cui Bioinformatics 38 (13), 3415-3421, 2022 | 3 | 2022 |
| NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning W Zhang, Z Sheng, M Yang, Y Li, Y Shen, Z Yang, B Cui International Conference on Machine Learning, 26467-26483, 2022 | 3 | 2022 |
| Automated Hyperparameter Optimization Challenge at CIKM 2021 AnalyticCup H Jiang, Y Shen, Y Li arXiv preprint arXiv:2111.00513, 2021 | 3 | 2021 |
| Efficient End-to-End AutoML via Scalable Search Space Decomposition Y Li, Y Shen, W Zhang, C Zhang, B Cui arXiv preprint arXiv:2206.09423, 2022 | 2 | 2022 |
| Openbox: A python toolkit for generalized black-box optimization H Jiang, Y Shen, Y Li, W Zhang, C Zhang, B Cui arXiv preprint arXiv:2304.13339, 2023 | 1 | 2023 |
| Transfer Learning for Bayesian Optimization: A Survey T Bai, Y Li, Y Shen, X Zhang, W Zhang, B Cui arXiv preprint arXiv:2302.05927, 2023 | 1 | 2023 |
| Rover: An online Spark SQL tuning service via generalized transfer learning Y Shen, X Ren, Y Lu, H Jiang, H Xu, D Peng, Y Li, W Zhang, B Cui arXiv preprint arXiv:2302.04046, 2023 | 1 | 2023 |
| Deep and Flexible Graph Neural Architecture Search W Zhang, Z Lin, Y Shen, Y Li, Z Yang, B Cui International Conference on Machine Learning, 26362-26374, 2022 | 1 | 2022 |
Bin CUIProfessor of Computer Science, Peking UniversityПотвърден имейл адрес: pku.edu.cn
