| Agnas: Attention-guided micro and macro-architecture search Z Sun, Y Hu, S Lu, L Yang, J Mei, Y Han, X Li International conference on machine learning, 20777-20789, 2022 | 16 | 2022 |
| Searching for burgerformer with micro-meso-macro space design L Yang, Y Hu, S Lu, Z Sun, J Mei, Y Han, X Li International conference on machine learning, 25055-25069, 2022 | 10 | 2022 |
| Pa&da: Jointly sampling path and data for consistent nas S Lu, Y Hu, L Yang, Z Sun, J Mei, J Tan, C Song Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 6 | 2023 |
| STC-NAS: Fast neural architecture search with source-target consistency Z Sun, Y Hu, L Yang, S Lu, J Mei, Y Han, X Li Neurocomputing 497, 227-238, 2022 | 6 | 2022 |
| DU-DARTS: Decreasing the Uncertainty of Differentiable Architecture Search. S Lu, Y Hu, L Yang, Z Sun, J Mei, Y Zeng, X Li, T ADlab BMVC, 133, 2021 | 5 | 2021 |
| Unleashing the power of gradient signal-to-noise ratio for zero-shot NAS Z Sun, Y Sun, L Yang, S Lu, J Mei, W Zhao, Y Hu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 2 | 2023 |
| DDSAS: Dynamic and Differentiable Space-Architecture Search L Yang, Y Hu, S Lu, Z Sun, J Mei, Y Zeng, Z Shi, Y Han, X Li Asian Conference on Machine Learning, 284-299, 2021 | 2 | 2021 |
| PHD-NAS: Preserving helpful data to promote Neural Architecture Search S Lu, Y Hu, L Yang, J Mei, Z Sun, J Tan, C Song Neurocomputing 587, 127646, 2024 | | 2024 |
| Sweet Gradient matters: Designing consistent and efficient estimator for Zero-shot Architecture Search L Yang, Y Fu, S Lu, Z Sun, J Mei, W Zhao, Y Hu Neural Networks 168, 237-255, 2023 | | 2023 |
| A template attack on reduction without reference device on Kyber Y Yang, J Huang, Z Wang, J Ye, Z Sun, J Fan, S Chen, H Li, X Li, Y Cao 2023 IEEE 32nd Asian Test Symposium (ATS), 1-6, 2023 | | 2023 |
| Towards Effective Neural Architecture Selection: The Promise of Self-Attention Z Sun, Y Hu, L Yang, S Lu, J Mei, Y Han Available at SSRN 4634144, 0 | | |
| Unleashing the Power of Gradient Signal-to-Noise Ratio for Zero-Shot NAS–Supplementary Material– Z Sun, Y Sun, L Yang, S Lu, J Mei, W Zhao, Y Hu | | |
| PA&DA: Jointly Sampling PAth and DAta for Consistent NAS-Supplementary Materials S Lu, Y Hu, L Yang, Z Sun, J Mei, J Tan, C Song | | |
| IT-NAS: Integrating Lite-Transformer into NAS for Architecture Seletion Z Sun, Y Hu, L Yang, S Lu, J Mei, Y Han | | |
| Sweet Gradient Matters: Designing Consistent and Efficient Estimator for Zero-Shot Neural Architecture Search L Yang, Y Fu, S Lu, Z Sun, J Mei, W Zhao, Y Hu | | |
