| Towards optimal structured cnn pruning via generative adversarial learning S Lin, R Ji, C Yan, B Zhang, L Cao, Q Ye, F Huang, D Doermann Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 597 | 2019 |
| Pams: Quantized super-resolution via parameterized max scale H Li, C Yan, S Lin, X Zheng, B Zhang, F Yang, R Ji Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 77 | 2020 |
| Privacy-preserving online AutoML for domain-specific face detection C Yan, Y Zhang, Q Zhang, Y Yang, X Jiang, Y Yang, B Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 10 | 2022 |
| Interpretable neural network decoupling Y Li, R Ji, S Lin, B Zhang, C Yan, Y Wu, F Huang, L Shao Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 7 | 2020 |
| Acenas: Learning to rank ace neural architectures with weak supervision of weight sharing Y Zhang, C Yan, Q Zhang, LL Zhang, Y Yang, X Gao, Y Yang arXiv preprint arXiv:2108.03001, 2021 | 5 | 2021 |
| Learning to Rank Ace Neural Architectures via Normalized Discounted Cumulative Gain Y Zhang, Q Zhang, LL Zhang, Y Yang, C Yan, X Gao, Y Yang arXiv preprint arXiv:2108.03001, 2021 | | 2021 |
| Privacy-preserving Online AutoML for Domain-Specific Face Detection Supplementary Material C Yan, Y Zhang, Q Zhang, Y Yang, X Jiang, Y Yang, B Wang | | |
