Sepsis Prediction Using Semi-Supervised and Transfer Learning. - John R. Caskey; Fereshteh S. Bashiri; Anoop M. Mayampurath; Nicole Dussault; Jay Dumanian; Sivasubramanium V. Bhavani; Kyle A. Carey; Emily R. Gilbert; Christopher J. Winslow; Nirav S. Shah; Dana P. Edelson; Majid Afshar; et al. (AMIA, 2021)

Communication Efficient Tensor Factorization for Decentralized Healthcare Networks. - Jing Ma 005; Qiuchen Zhang; Jian Lou 001; Li Xiong 001; Sivasubramanium Bhavani; Joyce C. Ho (ICDM, 2021)

MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning. - Yifei Ren; Jian Lou 001; Li Xiong 001; Joyce C. Ho; Xiaoqian Jiang; Sivasubramanium Bhavani (CoRR, 2022)

Identifying infected patients using semi-supervised and transfer learning. - Fereshteh S. Bashiri; John R. Caskey; Anoop M. Mayampurath; Nicole Dussault; Jay Dumanian; Sivasubramanium V. Bhavani; Kyle A. Carey; Emily R. Gilbert; Christopher J. Winslow; Nirav S. Shah; Dana P. Edelson; Majid Afshar; et al. (J. Am. Medical Informatics Assoc., 2022)

MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning for Computational Phenotyping. - Yifei Ren; Jian Lou 001; Li Xiong 001; Joyce C. Ho; Xiaoqian Jiang; Sivasubramanium Venkatraman Bhavani (ML4H@NeurIPS, 2023)

Comparison of time series clustering methods for identifying novel subphenotypes of patients with infection. - Sivasubramanium V. Bhavani; Li Xiong 001; Abish Pius; Matthew W. Semler; Edward T. Qian; Philip A. Verhoef; Chad Robichaux; Craig M. Coopersmith; Matthew M. Churpek (J. Am. Medical Informatics Assoc., 2023)

Patient-Centered and Practical Privacy to Support AI for Healthcare. - Ruixuan Liu; Hong-Kyu Lee; Sivasubramanium V. Bhavani; Xiaoqian Jiang; Lucila Ohno-Machado; Li Xiong 001 (TPS-ISA, 2024)