| Mind the class weight bias: Weighted maximum mean discrepancy for unsupervised domain adaptation H Yan, Y Ding, P Li, Q Wang, Y Xu, W Zuo Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 669 | 2017 |
| Weighted and class-specific maximum mean discrepancy for unsupervised domain adaptation H Yan, Z Li, Q Wang, P Li, Y Xu, W Zuo IEEE Transactions on Multimedia 22 (9), 2420-2433, 2019 | 68 | 2019 |
| Deep vanishing component analysis network for pattern classification H Yan, Z Yan, G Xiao, W Wang, W Zuo Neurocomputing 316, 240-250, 2018 | 5 | 2018 |
| Rethinking the BERT-like Pretraining for DNA Sequences C Liang, W Bai, L Qiao, Y Ren, J Sun, P Ye, H Yan, X Ma, W Zuo, ... arXiv preprint arXiv:2310.07644, 2023 | 3 | 2023 |
| Rethinking cross-domain pedestrian detection: a background-focused distribution alignment framework for instance-free one-stage detectors Y Cai, B Zhang, B Li, T Chen, H Yan, J Zhang IEEE transactions on image processing, 2023 | 3 | 2023 |
| Identifying featured indels associated with SARS-CoV-2 fitness X Li, H Yan, G Wong, W Ouyang, J Cui Microbiology Spectrum 11 (5), e02269-23, 2023 | | 2023 |
| Rethinking the bert-like pretraining for dna sequences W Bai, L Qiao, Y Ren, J Sun, P Ye, H Yan, X Ma, W Zuo, W Ouyang | | 2023 |
