Benchmark of Deep Learning Models on Large Healthcare MIMIC Datasets. - Sanjay Purushotham; Chuizheng Meng; Zhengping Che; Yan Liu 002 (CoRR, 2017)

Benchmarking deep learning models on large healthcare datasets. - Sanjay Purushotham; Chuizheng Meng; Zhengping Che; Yan Liu 002 (J. Biomed. Informatics, 2018)

Physics-aware Difference Graph Networks for Sparsely-Observed Dynamics. - Sungyong Seo; Chuizheng Meng; Yan Liu 002 (ICLR, 2020)

Coronavirus on Social Media: Analyzing Misinformation in Twitter Conversations. - Karishma Sharma; Sungyong Seo; Chuizheng Meng; Sirisha Rambhatla; Aastha Dua; Yan Liu 002 (CoRR, 2020)

Trust Relationship Prediction in Alibaba E-Commerce Platform. - Yukuo Cen; Jing Zhang 001; Gaofei Wang; Yujie Qian; Chuizheng Meng; Zonghong Dai; Hongxia Yang; Jie Tang 001 (IEEE Trans. Knowl. Data Eng., 2020)

Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning. - Sungyong Seo; Chuizheng Meng; Sirisha Rambhatla; Yan Liu 002 (IJCAI, 2021)

Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling. - Chuizheng Meng; Sirisha Rambhatla; Yan Liu 002 (KDD, 2021)

MIMIC-IF: Interpretability and Fairness Evaluation of Deep Learning Models on MIMIC-IV Dataset. - Chuizheng Meng; Loc Trinh; Nan Xu; Yan Liu 002 (CoRR, 2021)

PolSIRD: Modeling Epidemic Spread Under Intervention Policies. - Nitin Kamra; Yizhou Zhang; Sirisha Rambhatla; Chuizheng Meng; Yan Liu 002 (J. Heal. Informatics Res., 2021)

Physics-Informed Long-Sequence Forecasting From Multi-Resolution Spatiotemporal Data. - Chuizheng Meng; Hao Niu 001; Guillaume Habault; Roberto Legaspi; Shinya Wada; Chihiro Ono; Yan Liu 002 (IJCAI, 2022)

Mu2ReST: Multi-resolution Recursive Spatio-Temporal Transformer for Long-Term Prediction. - Hao Niu 001; Chuizheng Meng; Defu Cao; Guillaume Habault; Roberto Legaspi; Shinya Wada; Chihiro Ono; Yan Liu 002 (PAKDD (1), 2022)

When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning. - Chuizheng Meng; Sungyong Seo; Defu Cao; Sam Griesemer; Yan Liu 002 (CoRR, 2022)

Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders. - Defu Cao; James Enouen; Yujing Wang; Xiangchen Song; Chuizheng Meng; Hao Niu 001; Yan Liu 002 (AAAI, 2023)

Time-delayed Multivariate Time Series Predictions. - Hao Niu 001; Guillaume Habault; Roberto Legaspi; Chuizheng Meng; Defu Cao; Shinya Wada; Chihiro Ono; Yan Liu 002 (SDM, 2023)

COSTAR: Improved Temporal Counterfactual Estimation with Self-Supervised Learning. - Chuizheng Meng; Yihe Dong; Sercan Ö. Arik; Yan Liu 002; Tomas Pfister (CoRR, 2023)

An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series. - Qiang Huang; Chuizheng Meng; Defu Cao; Biwei Huang; Yi Chang 001; Yan Liu 002 (ICML, 2024)