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Yu Shen
Yu Shen
Verified email at pku.edu.cn - Homepage
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Year
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
682021
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
422022
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
412023
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
342021
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
312021
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
242021
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
242021
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
222023
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
192023
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
192022
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
192022
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
132022
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
112022
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
102021
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
92022
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
72022
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
62023
Automated hyperparameter optimization challenge at cikm 2021 analyticcup
H Jiang, Y Shen, Y Li
arXiv preprint arXiv:2111.00513, 2021
62021
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
52023
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
42024
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Articles 1–20