Следене
Yu Shen
Yu Shen
Потвърден имейл адрес: pku.edu.cn - Начална страница
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Позовавания
Година
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
572021
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, ...
arXiv preprint arXiv:2107.08861, 2021
332021
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
302022
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
262021
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
232021
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
222021
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
192021
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
122022
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
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
92023
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
72023
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
72022
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
72022
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
62022
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
52022
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
42022
DFG-NAS: Deep and Flexible Graph Neural Architecture Search
W Zhang, Z Lin, Y Shen, Y Li, Z Yang, B Cui
arXiv preprint arXiv:2206.08582, 2022
42022
Automated hyperparameter optimization challenge at cikm 2021 analyticcup
H Jiang, Y Shen, Y Li
arXiv preprint arXiv:2111.00513, 2021
32021
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
22023
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
22023
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