| A survey on vision transformer K Han, Y Wang, H Chen, X Chen, J Guo, Z Liu, Y Tang, A Xiao, C Xu, ... IEEE transactions on pattern analysis and machine intelligence 45 (1), 87-110, 2022 | 1404 | 2022 |
| Transformer in transformer K Han, A Xiao, E Wu, J Guo, C Xu, Y Wang Advances in neural information processing systems 34, 15908-15919, 2021 | 1339 | 2021 |
| A survey on visual transformer K Han, Y Wang, H Chen, X Chen, J Guo, Z Liu, Y Tang, A Xiao, C Xu, ... arXiv preprint arXiv:2012.12556, 2020 | 347 | 2020 |
| NeoDTI: neural integration of neighbor information from a heterogeneous network for discovering new drug–target interactions F Wan, L Hong, A Xiao, T Jiang, J Zeng Bioinformatics 35 (1), 104-111, 2019 | 288 | 2019 |
| Weight-sharing neural architecture search: A battle to shrink the optimization gap L Xie, X Chen, K Bi, L Wei, Y Xu, L Wang, Z Chen, A Xiao, J Chang, ... ACM Computing Surveys (CSUR) 54 (9), 1-37, 2021 | 85 | 2021 |
| DeepHINT: understanding HIV-1 integration via deep learning with attention H Hu, A Xiao, S Zhang, Y Li, X Shi, T Jiang, L Zhang, L Zhang, J Zeng Bioinformatics 35 (10), 1660-1667, 2019 | 58 | 2019 |
| Circumventing outliers of autoaugment with knowledge distillation L Wei, A Xiao, L Xie, X Zhang, X Chen, Q Tian European Conference on Computer Vision, 608-625, 2020 | 56 | 2020 |
| New insights from Opisthorchis felineus genome: update on genomics of the epidemiologically important liver flukes NI Ershov, VA Mordvinov, EB Prokhortchouk, MY Pakharukova, ... BMC genomics 20, 1-22, 2019 | 42 | 2019 |
| Augmented shortcuts for vision transformers Y Tang, K Han, C Xu, A Xiao, Y Deng, C Xu, Y Wang Advances in Neural Information Processing Systems 34, 15316-15327, 2021 | 39 | 2021 |
| Ghostsr: Learning ghost features for efficient image super-resolution Y Nie, K Han, Z Liu, C Liu, Y Wang arXiv preprint arXiv:2101.08525, 2021 | 26 | 2021 |
| A machine learning-based framework for modeling transcription elongation P Feng, A Xiao, M Fang, F Wan, S Li, P Lang, D Zhao, J Zeng Proceedings of the National Academy of Sciences 118 (6), e2007450118, 2021 | 11 | 2021 |
| Riboexp: an interpretable reinforcement learning framework for ribosome density modeling H Hu, X Liu, A Xiao, YY Li, C Zhang, T Jiang, D Zhao, S Song, J Zeng Briefings in Bioinformatics 22 (5), bbaa412, 2021 | 5 | 2021 |
| Network amplification with efficient macs allocation C Liu, K Han, A Xiao, Y Nie, W Zhang, Y Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 3 | 2022 |
| Greedy network enlarging C Liu, K Han, A Xiao, Y Deng, W Zhang, C Xu, Y Wang arXiv preprint arXiv:2108.00177, 2021 | 3 | 2021 |
| Deep Plug-and-Play Clustering with Unknown Number of Clusters A Xiao, H Chen, T Guo, Q Zhang, Y Wang Transactions on Machine Learning Research, 2022 | 2 | 2022 |
| Method and apparatus for training image processing model WEI Longhui, A Xiao, L Xie, Q Tian US Patent App. 17/949,906, 2023 | 1 | 2023 |
| Rationalizing translation elongation by reinforcement learning H Hu, X Liu, A Xiao, S Song, J Zeng bioRxiv, 463976, 2018 | 1 | 2018 |
| Augmented Shortcuts for Vision Transformers (Supplementary Material) Y Tang, K Han, C Xu, A Xiao, Y Deng, C Xu, Y Wang | | |
Yunhe Wang (王云鹤)Research Scientist, Senior IEEE Member, Huawei Technologies在 huawei.com 的電子郵件地址已通過驗證
