Long-term blood pressure prediction with deep recurrent neural networks P Su, XR Ding, YT Zhang, J Liu, F Miao, N Zhao 2018 IEEE International Conference on Biomedical & Health Informatics (BHI …, 2018 | 231 | 2018 |
Multi-wavelength photoplethysmography enabling continuous blood pressure measurement with compact wearable electronics J Liu, BP Yan, YT Zhang, XR Ding, P Su, N Zhao IEEE Transactions on Biomedical Engineering 66 (6), 1514-1525, 2018 | 132* | 2018 |
Adapting Object Detectors with Conditional Domain Normalization P Su, K Wang, X Zeng, S Tang, D Chen, D Qiu, X Wang European Conference on Computer Vision (ECCV) 2020, 2020 | 87 | 2020 |
Gradient regularized contrastive learning for continual domain adaptation S Tang, P Su, D Chen, W Ouyang Proceedings of the AAAI Conference on Artificial Intelligence 35 (3), 2665-2673, 2021 | 65* | 2021 |
Contrastive Visual-Linguistic Pretraining L Shi, K Shuang, S Geng, P Su, Z Jiang, P Gao, Z Fu, G de Melo, S S | 26 | 2020 |
Image retrieval and classification on deep convolutional SparkNet H Li, P Su, Z Chi, J Wang 2016 IEEE International Conference on Signal Processing, Communications and …, 2016 | 12 | 2016 |
Modal Uncertainty Estimation via Discrete Latent Representation D Qiu, Z Ke, P Su, LM Lui ICLR 2021, https://openreview.net/forum?id=Siwm2BaN, 2020 | 4 | 2020 |
Three-dimensional target detection method and apparatus P Su | | 2023 |