Influence based analysis of community consistency in dynamic networks. - Xiaowei Jia; Xiaoyi Li; Nan Du 001; Yuan Zhang 028; Vishrawas Gopalakrishnan; Guangxu Xun; Aidong Zhang (ASONAM, 2016)

LSTM for septic shock: Adding unreliable labels to reliable predictions. - Yuan Zhang 028; Chen Lin; Min Chi; Julie S. Ivy; Muge Capan; Jeanne M. Huddleston (IEEE BigData, 2017)

Time-aware Subgroup Matrix Decomposition: Imputing Missing Data Using Forecasting Events. - Xi Yang 019; Yuan Zhang 028; Min Chi (IEEE BigData, 2018)

Early Diagnosis and Prediction of Sepsis Shock by Combining Static and Dynamic Information Using Convolutional-LSTM. - Chen Lin; Yuan Zhang 028; Julie S. Ivy; Muge Capan; Ryan Arnold; Jeanne M. Huddleston; Min Chi (ICHI, 2018)

Missing Data Imputation for MIMIC-III using Matrix Decomposition. - Xi Yang 019; Yeo-Jin Kim; Farzaneh Khoshnevisan; Yuan Zhang 028; Min Chi (ICHI, 2019)

Time-aware Adversarial Networks for Adapting Disease Progression Modeling. - Yuan Zhang 028; Xi Yang 019; Julie S. Ivy; Min Chi (ICHI, 2019)

ATTAIN: Attention-based Time-Aware LSTM Networks for Disease Progression Modeling. - Yuan Zhang 028; Xi Yang 019; Julie S. Ivy; Min Chi (IJCAI, 2019)

Going deeper: Automatic short-answer grading by combining student and question models. - Yuan Zhang 028; Chen Lin; Min Chi (User Model. User Adapt. Interact., 2020)

Multi-series Time-aware Sequence Partitioning for Disease Progression Modeling. - Xi Yang 019; Yuan Zhang 028; Min Chi (IJCAI, 2021)

Tracking Community Consistency in Dynamic Networks: An Influence-Based Approach. - Xiaowei Jia; Xiaoyi Li; Nan Du 001; Yuan Zhang 028; Vishrawas Gopalakrishnan; Guangxu Xun; Aidong Zhang (IEEE Trans. Knowl. Data Eng., 2021)