| Darts-: robustly stepping out of performance collapse without indicators X Chu, X Wang, B Zhang, S Lu, X Wei, J Yan arXiv preprint arXiv:2009.01027, 2020 | 241 | 2020 |
| Tnasp: A transformer-based nas predictor with a self-evolution framework S Lu, J Li, J Tan, S Yang, J Liu Advances in Neural Information Processing Systems 34, 15125-15137, 2021 | 55 | 2021 |
| MixPath: A Unified Approach for One-shot Neural Architecture Search X Chu, X Li, S Lu, B Zhang, J Li arXiv preprint arXiv:2001.05887, 2020 | 44 | 2020 |
| Dynamic coherent diffractive imaging with a physics-driven untrained learning method D Yang, J Zhang, Y Tao, W Lv, S Lu, H Chen, W Xu, Y Shi Optics Express 29 (20), 31426-31442, 2021 | 36 | 2021 |
| Pinat: A permutation invariance augmented transformer for nas predictor S Lu, Y Hu, P Wang, Y Han, J Tan, J Li, S Yang, J Liu Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 8957-8965, 2023 | 35 | 2023 |
| PA&DA: Jointly Sampling PAth and DAta for Consistent NAS S Lu, Y Hu, L Yang, Z Sun, J Mei, J Tan, C Song CVPR 2023, 2023 | 25 | 2023 |
| 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 | 25 | 2022 |
| 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 | 18 | 2023 |
| 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 | 14 | 2022 |
| PID: physics-informed diffusion model for infrared image generation F Mao, J Mei, S Lu, F Liu, L Chen, F Zhao, Y Hu Pattern Recognition 169, 111816, 2026 | 13 | 2026 |
| 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 | 9 | 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 2021, 2021 | 8 | 2021 |
| 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 | 7 | 2023 |
| SpeechNAS: Towards better trade-off between latency and accuracy for large-scale speaker verification W Zhu, T Kong, S Lu, J Li, D Zhang, F Deng, X Wang, S Yang, J Liu 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2021 | 7 | 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 | 4 | 2024 |
| Conformer Space Neural Architecture Search for Multi-Task Audio Separation S Lu, Y Wang, P Yao, C Li, J Tan, F Deng, X Wang, C Song Proc. Interspeech 2022, 2022 | 2 | 2022 |
| 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 |
| MASTER: Multimodal Segmentation with Text Prompts F Liu, S Lu, J Mei, Y Hu CCF Intelligent Vehicles Symposium, 220-228, 2024 | 1 | 2024 |
| WA-Transformer: Window Attention-based Transformer with Two-stage Strategy for Multi-task Audio Source Separation. Y Wang, C Li, F Deng, S Lu, P Yao, J Tan, C Song, X Wang INTERSPEECH, 5373-5377, 2022 | 1 | 2022 |
| UNIV: Unified Foundation Model for Infrared and Visible Modalities F Mao, S Wang, J Mei, S Lu, C Min, F Liu, X Feng, M Wu, Y Hu arXiv preprint arXiv:2509.15642, 2025 | | 2025 |
Yu Hu (胡 瑜)Institute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn
