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Yu Shen
Yu Shen
Verified email at pku.edu.cn
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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
312021
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, 1-25, 2022
152022
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
112021
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
92021
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
72021
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
52021
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
52021
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
42022
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
42022
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, C Bin
arXiv preprint arXiv:2110.10423, 2021
22021
Transfer Learning based Search Space Design for Hyperparameter Tuning
Y Li, Y Shen, H Jiang, T Bai, W Zhang, C Zhang, B Cui
arXiv preprint arXiv:2206.02511, 2022
12022
TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning
Y Li, Y Shen, H Jiang, W Zhang, Z Yang, C Zhang, B Cui
arXiv preprint arXiv:2206.02663, 2022
12022
AutoDC: an Automatic Machine Learning Framework for Disease Classification
Y Bai, Y Li, Y Shen, M Yang, W Zhang, B Cui
Bioinformatics, 2022
12022
Automated Hyperparameter Optimization Challenge at CIKM 2021 AnalyticCup
H Jiang, Y Shen, Y Li
arXiv preprint arXiv:2111.00513, 2021
12021
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
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
2022
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
2022
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
2022
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