Multi-grained named entity recognition C Xia, C Zhang, T Yang, Y Li, N Du, X Wu, W Fan, F Ma, P Yu arXiv preprint arXiv:1906.08449, 2019 | 105 | 2019 |
Detecting genetic risk factors for Alzheimer's disease in whole genome sequence data via Lasso screening PMJY Tao Yang and Jie Wang and Qian Sun and Hibar, D.P. and Jahanshad, N ... 2015 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2015 | 43* | 2015 |
Metabolomic biosignature differentiates melancholic depressive patients from healthy controls Y Liu, L Yieh, T Yang, W Drinkenburg, P Peeters, T Steckler, VA Narayan, ... BMC genomics 17, 1-17, 2016 | 41 | 2016 |
A crowdsourcing approach to developing and assessing prediction algorithms for AML prognosis DP Noren, BL Long, R Norel, K Rrhissorrakrai, K Hess, CW Hu, ... PLoS computational biology 12 (6), e1004890, 2016 | 37 | 2016 |
Big data analytical approaches to the NACC dataset: aiding preclinical trial enrichment M Lin, P Gong, T Yang, J Ye, RL Albin, HH Dodge Alzheimer Disease & Associated Disorders 32 (1), 18-27, 2018 | 35 | 2018 |
Multiplex graph neural network for extractive text summarization B Jing, Z You, T Yang, W Fan, H Tong arXiv preprint arXiv:2108.12870, 2021 | 32 | 2021 |
Augmented LSTM framework to construct medical self-diagnosis android C Liu, H Sun, N Du, S Tan, H Fei, W Fan, T Yang, H Wu, Y Li, C Zhang 2016 IEEE 16th International Conference on Data Mining (ICDM), 251-260, 2016 | 28 | 2016 |
Simultaneous feature and feature group selection through hard thresholding S Xiang, T Yang, J Ye Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 26 | 2014 |
On the generation of medical question-answer pairs S Shen, Y Li, N Du, X Wu, Y Xie, S Ge, T Yang, K Wang, X Liang, W Fan Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8822-8829, 2020 | 23 | 2020 |
Multi-task learning based survival analysis for predicting alzheimer's disease progression with multi-source block-wise missing data Y Li, T Yang, J Zhou, J Ye proceedings of the 2018 SIAM international conference on data mining, 288-296, 2018 | 20 | 2018 |
Medical triage chatbot diagnosis improvement via multi-relational hyperbolic graph neural network Z Liu, X Li, Z You, T Yang, W Fan, P Yu Proceedings of the 44th International ACM SIGIR conference on research and …, 2021 | 18 | 2021 |
Commonsense evidence generation and injection in reading comprehension Y Liu, T Yang, Z You, W Fan, PS Yu arXiv preprint arXiv:2005.05240, 2020 | 13 | 2020 |
Evolution‐informed modeling improves outcome prediction for cancers L Liu, Y Chang, T Yang, DP Noren, B Long, S Kornblau, A Qutub, J Ye Evolutionary Applications 10 (1), 68-76, 2017 | 13 | 2017 |
Large-scale collaborative imaging genetics studies of risk genetic factors for Alzheimer’s disease across multiple institutions Q Li, T Yang, L Zhan, DP Hibar, N Jahanshad, Y Wang, J Ye, ... Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016 | 12 | 2016 |
Proximity information retrieval boost method for medical knowledge question answering systems HAN Lianyi, Y Li, Z Qian, Y Xie, XUE Yufan, T Yang, W Fan US Patent 11,232,267, 2022 | 10 | 2022 |
Absolute fused lasso and its application to genome-wide association studies T Yang, J Liu, P Gong, R Zhang, X Shen, J Ye Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 8 | 2016 |
Sparse models for imaging genetics J Wang, T Yang, P Thompson, J Ye Machine Learning and Medical Imaging, 129-151, 2016 | 6 | 2016 |
Jieping Ye. Simultaneous feature and feature group selection through hard thresholding S Xiang, T Yang Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 0 | 5 | |
SpO2 miniprogram: AI SpO2 measurement app HAN Lianyi, C Huang, X Chen, Z Huo, SY Lin, H Tang, T Yang, K Wang, ... US Patent 11,432,727, 2022 | 4 | 2022 |
AUTOMATED GENE EXPRESSION PATTERN ANNOTATION IN THE MOUSE BRAIN TAO YANG, X ZHAO, B LIN, TAO ZENG, S JI, J YE Pacific Symposium on Biocomputing 20, 144-155, 2015 | 3 | 2015 |