Chuizheng Meng

21 papers A* 6A 1Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Sample-Level Prototypical Federated Learning. IEEE Trans. Pattern Anal. Mach. Intell. Chuizheng Meng, Jianke Yang, Hao Niu, Guillaume Habault, Roberto Legaspi, Shinya Wada, Chihiro Ono, Yan Liu
2024	A*	`conf`	An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series. ICML Qiang Huang, Chuizheng Meng, Defu Cao, Biwei Huang, Yi Chang, Yan Liu
2024	J	`jnl`	An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series. CoRR Qiang Huang, Chuizheng Meng, Defu Cao, Biwei Huang, Yi Chang, Yan Liu
2023	J	`jnl`	COSTAR: Improved Temporal Counterfactual Estimation with Self-Supervised Learning. CoRR Chuizheng Meng, Yihe Dong, Sercan Ö. Arik, Yan Liu, Tomas Pfister
2023	A*	`conf`	Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders. AAAI Defu Cao, James Enouen, Yujing Wang, Xiangchen Song, Chuizheng Meng, Hao Niu, Yan Liu
2023	J	`jnl`	Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders. CoRR Defu Cao, James Enouen, Yujing Wang, Xiangchen Song, Chuizheng Meng, Hao Niu, Yan Liu
2023	A	`conf`	Time-delayed Multivariate Time Series Predictions. SDM Hao Niu, Guillaume Habault, Roberto Legaspi, Chuizheng Meng, Defu Cao, Shinya Wada, Chihiro Ono, Yan Liu
2022	—	`conf`	Mu2ReST: Multi-resolution Recursive Spatio-Temporal Transformer for Long-Term Prediction. PAKDD (1) Hao Niu, Chuizheng Meng, Defu Cao, Guillaume Habault, Roberto Legaspi, Shinya Wada, Chihiro Ono, Yan Liu
2022	A*	`conf`	Physics-Informed Long-Sequence Forecasting From Multi-Resolution Spatiotemporal Data. IJCAI Chuizheng Meng, Hao Niu, Guillaume Habault, Roberto Legaspi, Shinya Wada, Chihiro Ono, Yan Liu
2022	J	`jnl`	When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning. CoRR Chuizheng Meng, Sungyong Seo, Defu Cao, Sam Griesemer, Yan Liu
2021	A*	`conf`	Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling. KDD Chuizheng Meng, Sirisha Rambhatla, Yan Liu
2021	J	`jnl`	Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling. CoRR Chuizheng Meng, Sirisha Rambhatla, Yan Liu
2021	J	`jnl`	MIMIC-IF: Interpretability and Fairness Evaluation of Deep Learning Models on MIMIC-IV Dataset. CoRR Chuizheng Meng, Loc Trinh, Nan Xu, Yan Liu
2021	A*	`conf`	Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning. IJCAI Sungyong Seo, Chuizheng Meng, Sirisha Rambhatla, Yan Liu
2021	J	`jnl`	PolSIRD: Modeling Epidemic Spread Under Intervention Policies. J. Heal. Informatics Res. Nitin Kamra, Yizhou Zhang, Sirisha Rambhatla, Chuizheng Meng, Yan Liu
2020	J	`jnl`	Coronavirus on Social Media: Analyzing Misinformation in Twitter Conversations. CoRR Karishma Sharma, Sungyong Seo, Chuizheng Meng, Sirisha Rambhatla, Aastha Dua, Yan Liu
2020	A*	`conf`	Physics-aware Difference Graph Networks for Sparsely-Observed Dynamics. ICLR Sungyong Seo, Chuizheng Meng, Yan Liu
2020	J	`jnl`	Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning. CoRR Sungyong Seo, Chuizheng Meng, Sirisha Rambhatla, Yan Liu
2020	J	`jnl`	Trust Relationship Prediction in Alibaba E-Commerce Platform. IEEE Trans. Knowl. Data Eng. Yukuo Cen, Jing Zhang, Gaofei Wang, Yujie Qian, Chuizheng Meng, Zonghong Dai, Hongxia Yang, Jie Tang
2018	J	`jnl`	Benchmarking deep learning models on large healthcare datasets. J. Biomed. Informatics Sanjay Purushotham, Chuizheng Meng, Zhengping Che, Yan Liu
2017	J	`jnl`	Benchmark of Deep Learning Models on Large Healthcare MIMIC Datasets. CoRR Sanjay Purushotham, Chuizheng Meng, Zhengping Che, Yan Liu