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 | 76 | 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 | 56 | 2022 |
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 | 49 | 2023 |
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 | 49 | 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 | 39 | 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 | 35 | 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 Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 9792-9801, 2023 | 28 | 2023 |
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 | 28 | 2022 |
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 | 27 | 2022 |
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 | 27 | 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 | 27 | 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 | 13 | 2022 |
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 | 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 and …, 2022 | 12 | 2022 |
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 | 12 | 2021 |
Towards general and efficient online tuning for spark Y Li, H Jiang, Y Shen, Y Fang, X Yang, D Huang, X Zhang, W Zhang, ... arXiv preprint arXiv:2309.01901, 2023 | 11 | 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 Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 9 | 2023 |
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 | 8 | 2022 |
Openbox: A Python toolkit for generalized black-box optimization H Jiang, Y Shen, Y Li, B Xu, S Du, W Zhang, C Zhang, B Cui Journal of Machine Learning Research 25 (120), 1-11, 2024 | 6 | 2024 |
Automated hyperparameter optimization challenge at CIKM 2021 analyticcup H Jiang, Y Shen, Y Li arXiv preprint arXiv:2111.00513, 2021 | 6 | 2021 |