| Machine learning for survival analysis: A survey P Wang, Y Li, CK Reddy ACM Computing Surveys (CSUR) 51 (6), 1-36, 2019 | 592 | 2019 |
| A multi-task learning formulation for survival analysis Y Li, J Wang, J Ye, CK Reddy Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016 | 169 | 2016 |
| Project success prediction in crowdfunding environments Y Li, V Rakesh, CK Reddy Proceedings of the Ninth ACM International Conference on Web Search and Data …, 2016 | 126 | 2016 |
| A distributed ensemble approach for mining healthcare data under privacy constraints Y Li, C Bai, CK Reddy Information sciences 330, 245-259, 2016 | 102 | 2016 |
| Fast RobustSTL: Efficient and robust seasonal-trend decomposition for time series with complex patterns Q Wen, Z Zhang, Y Li, L Sun Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 70 | 2020 |
| Transfer learning for survival analysis via efficient l2, 1-norm regularized cox regression Y Li, L Wang, J Wang, J Ye, CK Reddy 2016 IEEE 16th International Conference on Data Mining (ICDM), 231-240, 2016 | 60 | 2016 |
| Active learning based survival regression for censored data B Vinzamuri, Y Li, CK Reddy Proceedings of the 23rd ACM international conference on conference on …, 2014 | 60 | 2014 |
| Learning adversarial networks for semi-supervised text classification via policy gradient Y Li, J Ye Proceedings of the 24th acm sigkdd international conference on knowledge …, 2018 | 47 | 2018 |
| Multi-task survival analysis L Wang, Y Li, J Zhou, D Zhu, J Ye 2017 IEEE international conference on data mining (ICDM), 485-494, 2017 | 47 | 2017 |
| A Review of Clinical Prediction Models. CK Reddy, Y Li, C Aggarwal Healthcare data analytics 36, 343-378, 2015 | 46 | 2015 |
| Regularized parametric regression for high-dimensional survival analysis Y Li, KS Xu, CK Reddy Proceedings of the 2016 SIAM International Conference on Data Mining, 765-773, 2016 | 35 | 2016 |
| Joint impact of clinical and behavioral variables on the risk of unplanned readmission and death after a heart failure hospitalization B Padhukasahasram, CK Reddy, Y Li, DE Lanfear PloS one 10 (6), e0129553, 2015 | 34 | 2015 |
| 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 |
| Regularized weighted linear regression for high-dimensional censored data Y Li, B Vinzamuri, CK Reddy Proceedings of the 2016 SIAM International Conference on Data Mining, 45-53, 2016 | 19 | 2016 |
| Constrained elastic net based knowledge transfer for healthcare information exchange Y Li, B Vinzamuri, CK Reddy Data Mining and Knowledge Discovery 29, 1094-1112, 2015 | 19 | 2015 |
| Multi-task learning based survival analysis for multi-source block-wise missing data Y Li, L Wang, J Zhou, J Ye Neurocomputing 364, 95-107, 2019 | 17 | 2019 |
| Pre-processing censored survival data using inverse covariance matrix based calibration B Vinzamuri, Y Li, CK Reddy IEEE Transactions on Knowledge and Data Engineering 29 (10), 2111-2124, 2017 | 7 | 2017 |
| Robust time series dissimilarity measure for outlier detection and periodicity detection X Song, Q Wen, Y Li, L Sun Proceedings of the 31st ACM International Conference on Information …, 2022 | 6 | 2022 |
| A Hybrid Causal Structure Learning Algorithm for Mixed-type Data Y Li, R Xia, C Liu, L Sun Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), https …, 2022 | 5 | 2022 |
| Modeling over-dispersion for network data clustering L Wang, D Zhu, M Dong, Y Li 2017 16th IEEE International Conference on Machine Learning and Applications …, 2017 | 5 | 2017 |
Chandan K. ReddyProfessor, Computer Science, Virginia TechVerified email at cs.vt.edu
