I am interested in machine learning for healthcare,causal inference and deep learning. My work focuses on:

·monitoring, early detection, and Intelligent diagnosis and treatment.

·Provide decision support tools based on large-scale health data to doctors.

·Interpretable artificial intelligence/machine learning algorithms.

1. Xu L, Chen Y, Lu S, et al. A self‐supervised causal feature reinforcement learning method for non‐invasive hemoglobin prediction[J]. IET Image Processing, 2023.

2. L. Sun, Q. Cao, Y. Chen, Y. Zheng and Z. Wu, "Mixed Noise Removal for Hyperspectral Images Based on Global Tensor Low-Rankness and Nonlocal SVD-Aided Group Sparsity," in IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-17, 2023, Art no. 5506617, doi: 10.1109/TGRS.2023.3257851

3. Chen Y, Zhong K, Zhu Y, Sun Q. Two-stage hemoglobin prediction based on prior causality. Front Public Health. 2022 Nov 30;10:1079389. doi: 10.3389/fpubh.2022.1079389. PMID: 36530714; PMCID: PMC9748421.

4. Cheng, S.; Li, B.; Sun, L.; Chen, Y. HRRNet: Hierarchical Refinement Residual Network for Semantic Segmentation of Remote Sensing Images. Remote Sens. 2023, 15, 1244. https://doi.org/10.3390/rs15051244

5. Chen YW, Xu LQ, Yi B. Early recognition of risk of critical adverse events based on deep neural decision gradient boosting. Front Public Health. 2023 Jan 26;10:1065707. doi: 10.3389/fpubh.2022.1065707. PMID: 36777782; PMCID: PMC9909024

6. Chen Y , Liu J . Polynomial dendritic neural networks[J]. Neural Computing and Applications, 2022.

7. Chen Y W , Zhang J , Qin X L . Interpretable instance disease prediction based on causal feature selection and effect analysis[J]. BMC Medical Informatics and Decision Making, 2022, 22(1):1-14.

8. Sun, Y. Fang, Y. Chen, W. Huang, Z. Wu and B. Jeon, "Multi-Structure KELM With Attention Fusion Strategy for Hyperspectral Image Classification," in IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-17, 2022, Art no. 5539217, doi: 10.1109/TGRS.2022.3208165.

9. Huang, Y. Chen(*), P. Wang, X. Liu and S. Liu, An Interpretable Temporal Convolutional Network Model for Acute Kidney Injury Prediction in the Intensive Care Unit, 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021, pp. 3021-3028.

10. Li YJ, Zhong KH, Bai XH, Tang X, Li P, Yang ZY, Zhi HY, Li XJ, Chen Y, Deng P, Qin XL, Gu JT, Ning JL, Lu KZ, Zhang J, Xia ZY, Chen YW(*), Yi B(*). A Simple and Quick Screening Method for Intrapulmonary Vascular Dilation in Cirrhotic Patients Based on Machine Learning. J Clin Transl Hepatol. 2021 Oct 28;9(5):682-689. doi: 10.14218/JCTH.2020.00184.