| TLR: Transfer latent representation for unsupervised domain adaptation P Xiao, B Du, J Wu, L Zhang, R Hu, X Li 2018 IEEE International Conference on multimedia and expo (ICME), 1-6, 2018 | 13 | 2018 |
| SC-VAE: Sparse coding-based variational autoencoder with learned ISTA P Xiao, P Qiu, SM Ha, A Bani, S Zhou, A Sotiras Pattern Recognition 161, 111187, 2025 | 8* | 2025 |
| AmyloidPETNet: classification of amyloid positivity in brain PET imaging using end-to-end deep learning S Fan, MR Ponisio, P Xiao, SM Ha, S Chakrabarty, JJ Lee, S Flores, ... Radiology 311 (3), e231442, 2024 | 5 | 2024 |
| Sc-mil: Sparsely coded multiple instance learning for whole slide image classification P Qiu, P Xiao, W Zhu, Y Wang, A Sotiras arXiv preprint arXiv:2311.00048, 2023 | 4 | 2023 |
| Bi-adapting kernel learning for unsupervised domain adaptation Z Wang, P Xiao, W Tu, B Du, Y Cheng Neurocomputing 398, 547-554, 2020 | 3 | 2020 |
| An unsupervised domain adaptation algorithm based on canonical correlation analysis P Xiao, B Du, X Li Computer Vision: Second CCF Chinese Conference, CCCV 2017, Tianjin, China …, 2017 | 3 | 2017 |
| Probabilistic graph embedding for unsupervised domain adaptation P Xiao, B Du, S Yun, X Lit, YP Zhang, J Wu 2018 24th international conference on pattern recognition (ICPR), 1283-1288, 2018 | 2 | 2018 |
| Scalable orthonormal projective NMF via diversified stochastic optimization A Bani, SM Ha, P Xiao, T Earnest, J Lee, A Sotiras International Conference on Information Processing in Medical Imaging, 497-508, 2023 | 1 | 2023 |
| Prediction of brain amyloidosis: a multi‐site machine learning analysis S Fan, SM Ha, P Xiao, SE Schindler, BA Gordon, CA Raji, AM Fagan, ... Alzheimer's & Dementia 19, e067459, 2023 | | 2023 |
| A generative-discriminative deep learning approach to classify radiology reports based on the presence of follow up recommendations P Xiao, X Yu, A Mintz, J Wang, M Mokkarala, VR Narra, DS Marcus, ... Medical Imaging 2023: Imaging Informatics for Healthcare, Research, and …, 2023 | | 2023 |