TEINet: a deep learning framework for prediction of TCR–epitope binding specificity Y Jiang, M Huo, S Cheng Li Briefings in Bioinformatics 24 (2), bbad086, 2023 | 20 | 2023 |
DrugOrchestra: Jointly predicting drug response, targets, and side effects via deep multi-task learning Y Jiang, S Rensi, S Wang, RB Altman biorxiv, 2020.11. 17.385757, 2020 | 8 | 2020 |
Adversarial VAE with normalizing flows for multi-dimensional classification W Zhang, Y Gou, Y Jiang, Y Zhang Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 205-219, 2022 | 7 | 2022 |
BEV-Net: Assessing social distancing compliance by joint people localization and geometric reasoning Z Dai, Y Jiang, Y Li, B Liu, AB Chan, N Vasconcelos Proceedings of the IEEE/CVF international conference on computer Vision …, 2021 | 6 | 2021 |
Deep autoregressive generative models capture the intrinsics embedded in T-cell receptor repertoires Y Jiang, SC Li Briefings in Bioinformatics 24 (2), bbad038, 2023 | 5 | 2023 |
TCR2vec: a deep representation learning framework of T-cell receptor sequence and function Y Jiang, M Huo, P Zhang, Y Zou, SC Li bioRxiv, 2023.03. 31.535142, 2023 | 1 | 2023 |
Unlocking T-cell receptor–epitope insights with structural analysis M Huo, Y Jiang, SC Li Nature Computational Science 4 (7), 475-476, 2024 | | 2024 |