| Unleash Model Potential: Bootstrapped Meta Self-supervised Learning J Wang, Z Song, W Qiang, C Zheng arXiv preprint arXiv:2308.14267, 2023 | 1 | 2023 |
| Manifold-guided sampling in diffusion models for unbiased image generation X Su, W Qiang, Z Song, H Gao, F Wu, C Zheng arXiv preprint arXiv:2307.08199, 2023 | 1 | 2023 |
| A unified gan framework regarding manifold alignment for remote sensing images generation X Su, W Qiang, Z Song, H Gao, F Wu, C Zheng arXiv preprint arXiv:2305.19507 2, 2023 | 1 | 2023 |
| Learning Invariant Causal Mechanism from Vision-Language Models Z Song, S Zhao, X Zhang, J Li, C Zheng, W Qiang arXiv preprint arXiv:2405.15289, 2024 | | 2024 |
| A Trusted Generative-Discriminative Joint Feature Learning Framework for Remote Sensing Image Classification L Si, H Dong, W Qiang, Z Song, B Du, J Yu, F Sun IEEE Transactions on Geoscience and Remote Sensing, 2023 | | 2023 |
| Hacking Task Confounder in Meta-Learning J Wang, W Qiang, Y Ren, Z Song, X Su, C Zheng arXiv preprint arXiv:2312.05771, 2023 | | 2023 |
| Towards the Sparseness of Projection Head in Self-Supervised Learning Z Song, X Su, J Wang, W Qiang, C Zheng, F Sun arXiv preprint arXiv:2307.08913, 2023 | | 2023 |
| Learning to Sample Tasks for Meta Learning J Wang, Z Song, X Su, L Si, H Dong, W Qiang, C Zheng arXiv preprint arXiv:2307.08924, 2023 | | 2023 |
| Deep neural fenonic baseform growing: A novel approach to construct HMM topologies for speech recognition L Li, X Zhou, Z Song, T Watzel, L Kürzinger, G Rigoll 2020 International Conference on High Performance Computing Simulation (HPCS), 2021 | | 2021 |
Wenwen QiangInstitute of Software, Chinese Academy of SciencesVerified email at iscas.ac.cn
