Search Results for author: Qin Zhong

Found 3 papers, 2 papers with code

Causally-informed Deep Learning towards Explainable and Generalizable Outcomes Prediction in Critical Care

no code implementations4 Feb 2025 Yuxiao Cheng, Xinxin Song, Ziqian Wang, Qin Zhong, Kunlun He, Jinli Suo

Recent advances in deep learning (DL) have prompted the development of high-performing early warning score (EWS) systems, predicting clinical deteriorations such as acute kidney injury, acute myocardial infarction, or circulatory failure.

Causal Discovery Circulatory Failure +1

CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery

1 code implementation3 Oct 2023 Yuxiao Cheng, Ziqian Wang, Tingxiong Xiao, Qin Zhong, Jinli Suo, Kunlun He

This study introduces the CausalTime pipeline to generate time-series that highly resemble the real data and with ground truth causal graphs for quantitative performance evaluation.

Benchmarking Causal Discovery +1

CUTS+: High-dimensional Causal Discovery from Irregular Time-series

1 code implementation10 May 2023 Yuxiao Cheng, Lianglong Li, Tingxiong Xiao, Zongren Li, Qin Zhong, Jinli Suo, Kunlun He

Causal discovery in time-series is a fundamental problem in the machine learning community, enabling causal reasoning and decision-making in complex scenarios.

Causal Discovery Decision Making +4

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