| Zen-nas: A zero-shot nas for high-performance image recognition M Lin, P Wang, Z Sun, H Chen, X Sun, Q Qian, H Li, R Jin Proceedings of the IEEE/CVF International Conference on Computer Vision, 347-356, 2021 | 186 | 2021 |
| Data-juicer: A one-stop data processing system for large language models D Chen, Y Huang, Z Ma, H Chen, X Pan, C Ge, D Gao, Y Xie, Z Liu, J Gao, ... Companion of the 2024 International Conference on Management of Data, 120-134, 2024 | 44 | 2024 |
| Prenas: Preferred one-shot learning towards efficient neural architecture search H Wang, C Ge, H Chen, X Sun International Conference on Machine Learning, 35642-35654, 2023 | 23 | 2023 |
| Neural architecture design for gpu-efficient networks M Lin, H Chen, X Sun, Q Qian, H Li, R Jin arXiv preprint arXiv:2006.14090, 2020 | 23 | 2020 |
| Entropy-driven mixed-precision quantization for deep network design Z Sun, C Ge, J Wang, M Lin, H Chen, H Li, X Sun Advances in Neural Information Processing Systems 35, 21508-21520, 2022 | 21 | 2022 |
| Bilinear CNN models for food recognition H Chen, J Wang, Q Qi, Y Li, H Sun 2017 International conference on digital image computing: techniques and …, 2017 | 16 | 2017 |
| Muffnet: Multi-layer feature federation for mobile deep learning H Chen, M Lin, X Sun, Q Qi, H Li, R Jin Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 10 | 2019 |
| Fine-grained autoaugmentation for multi-label classification Y Wang, H Chen, F Zhang, Y Wang, X Sun, M Lin, H Li arXiv preprint arXiv:2107.05384, 2021 | 3 | 2021 |
| Hierarchical Cross Contrastive Learning of Visual Representations H Chen, M Lin, X Sun, R Jin | 1 | 2021 |
| E2EDiff: Direct Mapping from Noise to Data for Enhanced Diffusion Models Z Tan, WX Qian, H Chen, M Yang, L Chen, H Li arXiv preprint arXiv:2412.21044, 2024 | | 2024 |
Xiuyu SunShanghai Academy of Artificial Intelligence for Science, Alibaba DAMO AcademyEmail verificata su sais.com.cn
