Jing Li (李静）

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I am a postdoctoral research fellow advised by Dr. Miguel Hernán in the CAUSALab and the Department of Epidemiology at Harvard T.H.Chan School of Public Health. Previously, I received my PhD in Computer Science from Peking University advised by Dr. Yizhou Wang. I also received a Bachelor's degree in Statistics from Wuhan University.

My research focuses on bridging causal inference and machine learning, particularly through developing and contributing software tools for causal inference methods. I lead the development of pygformula, an open source python software that implements the non-iterative conditional expectation g-formula method in causal inference.

Publications

Deep learning methods for the noniterative conditional expectation g-formula for causal inference from complex observational data

Deep learning methods for the noniterative conditional expectation g-formula for causal inference from complex observational data

*Sophia M Rein*, *Jing Li*, Miguel Hernan, Andrew Beam

NeurIPS Workshop on Causal Representation Learning, 2024

ABSPDF
Learning domain-agnostic representation for disease diagnosis

Learning domain-agnostic representation for disease diagnosis

Churan Wang, Jing Li, Xinwei Sun, Fandong Zhang, Yizhou Yu, Yizhou Wang

The Eleventh International Conference on Learning Representations, 2023

ABSPDF
Causal hidden markov model for time series disease forecasting

Causal hidden markov model for time series disease forecasting

Jing Li, Botong Wu, Xinwei Sun, Yizhou Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021

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Forecasting irreversible disease via progression learning

Forecasting irreversible disease via progression learning

Botong Wu, Sijie Ren, Jing Li, Xinwei Sun, Shi-Ming Li, Yizhou Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021

ABSPDF
Bilateral asymmetry guided counterfactual generating network for mammogram classification

Bilateral asymmetry guided counterfactual generating network for mammogram classification

*Churan Wang*, *Jing Li*, Fandong Zhang, Xinwei Sun, Hao Dong, Yizhou Yu, Yizhou Wang

IEEE Transactions on Image Processing, 2021

ABSPDF
Pose-assisted multi-camera collaboration for active object tracking

Pose-assisted multi-camera collaboration for active object tracking

*Jing Li*, *Jing Xu*, *Fangwei Zhong*, Xiangyu Kong, Yu Qiao, Yizhou Wang

Proceedings of the AAAI Conference on Artificial Intelligence, 2020

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