| Graph attention multi-layer perceptron W Zhang, Z Yin, Z Sheng, Y Li, W Ouyang, X Li, Y Tao, Z Yang, B Cui KDD 2022, 2022 | 127 | 2022 |
| 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 | 74 | 2021 |
| Node Dependent Local Smoothing for Scalable Graph Learning W Zhang, M Yang, Z Sheng, Y Li, W Ouyang, Y Tao, Z Yang, B Cui Advances in Neural Information Processing Systems, 2021 | 63 | 2021 |
| Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation X Zhang, Z Chang, Y Li, H Wu, J Tan, F Li, B Cui Proceedings of the VLDB Endowment, 2021 | 53 | 2021 |
| Towards Dynamic and Safe Configuration Tuning for Cloud Databases X Zhang, H Wu, Y Li, J Tan, F Li, B Cui SIGMOD 2022, 2022 | 52 | 2022 |
| 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 International World Wide Web Conference (WWW'22), 2022 | 52 | 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 Proceedings of the VLDB Endowment, 2021 | 46 | 2021 |
| VolcanoML: speeding up end-to-end AutoML via scalable search space decomposition Y Li, Y Shen, W Zhang, J Jiang, B Ding, Y Li, J Zhou, Z Yang, W Wu, ... Proceedings of the VLDB Endowment, 2021 | 46 | 2021 |
| Efficient automatic CASH via rising bandits Y Li, J Jiang, J Gao, Y Shao, C Zhang, B Cui Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4763-4771, 2020 | 46 | 2020 |
| 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 | 37 | 2021 |
| Ease. ml: A lifecycle management system for machine learning L Aguilar Melgar, D Dao, S Gan, NM Gürel, N Hollenstein, J Jiang, ... Proceedings of the Annual Conference on Innovative Data Systems Research …, 2021 | 36* | 2021 |
| 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 | 28 | 2023 |
| 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 AAAI 2023, 2021 | 26 | 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 Proceedings of the VLDB Endowment International Conference on Very Large …, 2022 | 25 | 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, Z Yang, CUI Bin ICML 2022, 2021 | 25 | 2021 |
| 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 | 25 | 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, 2020 | 24 | 2020 |
| 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 | 16* | 2022 |
| 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 & Data …, 2022 | 13 | 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 & Data …, 2022 | 10 | 2022 |
Bin CUIProfessor of Computer Science, Peking UniversityVerified email at pku.edu.cn
