Active Learning based Survival Regression for Censored Data. - Bhanukiran Vinzamuri; Yan Li 052; Chandan K. Reddy (CIKM, 2014)

A Review of Clinical Prediction Models. - Chandan K. Reddy; Yan Li 052 (Healthcare Data Analytics, 2015)

Constrained elastic net based knowledge transfer for healthcare information exchange. - Yan Li 052; Bhanukiran Vinzamuri; Chandan K. Reddy (Data Min. Knowl. Discov., 2015)

Transfer Learning for Survival Analysis via Efficient L2, 1-Norm Regularized Cox Regression. - Yan Li 052; Lu Wang 004; Jie Wang 005; Jieping Ye; Chandan K. Reddy (ICDM, 2016)

Poisson-Markov Mixture Model and Parallel Algorithm for Binning Massive and Heterogenous DNA Sequencing Reads. - Lu Wang 004; Dongxiao Zhu; Yan Li 052; Ming Dong 001 (ISBRA, 2016)

A Multi-Task Learning Formulation for Survival Analysis. - Yan Li 052; Jie Wang 005; Jieping Ye; Chandan K. Reddy (KDD, 2016)

Regularized Weighted Linear Regression for High-dimensional Censored Data. - Yan Li 052; Bhanukiran Vinzamuri; Chandan K. Reddy (SDM, 2016)

Regularized Parametric Regression for High-dimensional Survival Analysis. - Yan Li 052; Kevin S. Xu 001; Chandan K. Reddy (SDM, 2016)

Project Success Prediction in Crowdfunding Environments. - Yan Li 052; Vineeth Rakesh; Chandan K. Reddy (WSDM, 2016)

A distributed ensemble approach for mining healthcare data under privacy constraints. - Yan Li 052; Changxin Bai; Chandan K. Reddy (Inf. Sci., 2016)

Multi-task Survival Analysis. - Lu Wang 004; Yan Li 052; Jiayu Zhou; Dongxiao Zhu; Jieping Ye (ICDM, 2017)

Modeling Over-Dispersion for Network Data Clustering. - Lu Wang 004; Dongxiao Zhu; Ming Dong 001; Yan Li 052 (ICMLA, 2017)

Pre-Processing Censored Survival Data Using Inverse Covariance Matrix Based Calibration. - Bhanukiran Vinzamuri; Yan Li 052; Chandan K. Reddy (IEEE Trans. Knowl. Data Eng., 2017)

Learning Adversarial Networks for Semi-Supervised Text Classification via Policy Gradient. - Yan Li 052; Jieping Ye (KDD, 2018)

Multi-Task Learning based Survival Analysis for Predicting Alzheimer's Disease Progression with Multi-Source Block-wise Missing Data. - Yan Li 052; Tao Yang 016; Jiayu Zhou; Jieping Ye (SDM, 2018)

Machine Learning for Survival Analysis: A Survey. - Ping Wang 024; Yan Li 052; Chandan K. Reddy (ACM Comput. Surv., 2019)

Multi-task learning based survival analysis for multi-source block-wise missing data. - Yan Li 052; Lu Wang 004; Jiayu Zhou; Jieping Ye (Neurocomputing, 2019)

Fast RobustSTL: Efficient and Robust Seasonal-Trend Decomposition for Time Series with Complex Patterns. - Qingsong Wen; Zhe Zhang; Yan Li 052; Liang Sun 001 (KDD, 2020)

A Hybrid Causal Structure Learning Algorithm for Mixed-Type Data. - Yan Li 052; Rui Xia; Chunchen Liu; Liang Sun 001 (AAAI, 2022)

Robust Time Series Dissimilarity Measure for Outlier Detection and Periodicity Detection. - Xiaomin Song; Qingsong Wen; Yan Li 052; Liang Sun 001 (CIKM, 2022)