| StacNAS: Towards stable and consistent optimization for differentiable neural architecture search L Guilin, Z Xing, W Zitong, L Zhenguo, Z Tong | 34 | 2019 |
| Nonlinear ICA using volume-preserving transformations X Yang, Y Wang, J Sun, X Zhang, S Zhang, Z Li, J Yan International Conference on Learning Representations, 2021 | 17 | 2021 |
| On effective scheduling of model-based reinforcement learning H Lai, J Shen, W Zhang, Y Huang, X Zhang, R Tang, Y Yu, Z Li Advances in Neural Information Processing Systems 34, 3694-3705, 2021 | 8 | 2021 |
| Learning to build high-fidelity and robust environment models W Zhang, Z Yang, J Shen, M Liu, Y Huang, X Zhang, R Tang, Z Li Machine Learning and Knowledge Discovery in Databases. Research Track …, 2021 | 8 | 2021 |
| Formulating camera-adaptive color constancy as a few-shot meta-learning problem S McDonagh, S Parisot, F Zhou, X Zhang, A Leonardis, Z Li, G Slabaugh arXiv preprint arXiv:1811.11788, 2018 | 7 | 2018 |
| Stacnas: Towards stable and consistent differentiable neural architecture search G Li, X Zhang, Z Wang, Z Li, T Zhang Computer Vision and Pattern Recognition (CVPR), 2019 | 5* | 2019 |
| ModularNAS: towards modularized and reusable neural architecture search Y Lin, G Li, X Zhang, W Zhang, B Chen, R Tang, Z Li, J Feng, Y Yu Proceedings of Machine Learning and Systems 3, 413-433, 2021 | 4 | 2021 |
| A numerical study of fluid-particle interaction with slip boundary condition X Zhang, L Luo, X Wang Numer. Math.: Theory Methods Appl. 11 (4), 2018 | 2 | 2018 |
| HIERARCHICAL NEURAL ARCHITECTURE SEARCH VIA OPERATOR CLUSTERING L Guilin, Z Xing, J Feng, W Zitong, M Tan, L Zhenguo, Z Tong arXiv preprint arXiv:1909.11926, 2019 | | 2019 |
| TURE SEARCH L Guilin, Z Xing, W Zitong, L Zhenguo, Z Tong | | |
