| Taking human out of learning applications: A survey on automated machine learning Q Yao, M Wang, Y Chen, W Dai, YF Li, WW Tu, Q Yang, Y Yu arXiv preprint arXiv:1810.13306, 2018 | 507 | 2018 |
| Derivative-free optimization via classification Y Yu, H Qian, YQ Hu Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 101 | 2016 |
| Derivative-Free Optimization of High-Dimensional Non-Convex Functions by Sequential Random Embeddings. H Qian, YQ Hu, Y Yu IJCAI, 1946-1952, 2016 | 70 | 2016 |
| Sequential classification-based optimization for direct policy search YQ Hu, H Qian, Y Yu Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 52 | 2017 |
| Symbolic execution of complex program driven by machine learning based constraint solving X Li, Y Liang, H Qian, YQ Hu, L Bu, Y Yu, X Chen, X Li Proceedings of the 31st IEEE/ACM International Conference on Automated …, 2016 | 41 | 2016 |
| Multi-Fidelity Automatic Hyper-Parameter Tuning via Transfer Series Expansion YQ Hu, Y Yu, WW Tu, Q Yang, Y Chen, W Dai AAAI Conference on Artificial Intelligence 16, 2286-2292, 2019 | 31 | 2019 |
| Zoopt: Toolbox for derivative-free optimization YR Liu, YQ Hu, H Qian, C Qian, Y Yu arXiv preprint arXiv:1801.00329, 2017 | 27 | 2017 |
| A technical view on neural architecture search YQ Hu, Y Yu International Journal of Machine Learning and Cybernetics 11 (4), 795-811, 2020 | 16 | 2020 |
| Yang Yu Q Yao, M Wang, HJ Escalante, I Guyon, YQ Hu, YF Li, WW Tu Taking human out of learning applications: A survey on automated machine …, 2018 | 13 | 2018 |
| Experienced Optimization with Reusable Directional Model for Hyper-Parameter Search. YQ Hu, Y Yu, ZH Zhou IJCAI 18, 2276-2282, 2018 | 12 | 2018 |
| Cascaded algorithm-selection and hyper-parameter optimization with extreme-region upper confidence bound bandit YQ Hu, Y Yu, JD Liao arXiv preprint arXiv:1905.13703, 2019 | 8 | 2019 |
| Machine learning steered symbolic execution framework for complex software code L Bu, Y Liang, Z Xie, H Qian, YQ Hu, Y Yu, X Chen, X Li Formal Aspects of Computing 33 (3), 301-323, 2021 | 6 | 2021 |
| Taking Human out of Learning Applications: A Survey on Automated Machine Learning. CoRR abs/1810.13306 (2018) Q Yao, M Wang, HJ Escalante, I Guyon, YQ Hu, YF Li, WW Tu, Q Yang, ... arXiv preprint arXiv:1810.13306, 2018 | 6 | 2018 |
| Yang Yu YQ Hu, H Qian Sequential classification-based optimization for direct policy search …, 2016 | 5 | 2016 |
| Asynchronous classification-based optimization YR Liu, YQ Hu, H Qian, Y Yu Proceedings of the First International Conference on Distributed Artificial …, 2019 | 4 | 2019 |
| Zoopt/zoojl: Toolbox for derivative-free optimization YR Liu, YQ Hu, H Qian, Y Yu, C Qian arXiv preprint arXiv:1801.00329, 2017 | 4 | 2017 |
| Cascaded algorithm selection with extreme-region UCB bandit YQ Hu, XH Liu, SQ Li, Y Yu IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (10), 6782 …, 2021 | 3 | 2021 |
| Derivative-Free Optimization with Adaptive Experience for Efficient Hyper-Parameter Tuning * YQ Hu, Z Liu, H Yang, Y Yu, Y Liu ECAI 2020, 1207-1214, 2020 | 2 | 2020 |
| A Multi-task Learning Approach by Combining Derivative-Free and Gradient Methods Y Hu, Y Yu Bio-inspired Computing–Theories and Applications: 11th International …, 2016 | | 2016 |
| Appendix of “Derivative-Free Optimization via Classification” Y Yu, H Qian, YQ Hu | | |
