Yixing Wu

According to our database, Yixing Wu authored at least 8 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

GreenPhase: A Green Learning Approach for Earthquake Phase Picking.

Yixing Wu, Shiou-Ya Wang, Dingyi Nie, Sanket Kumbhar, Yun-Tung Hsieh, Yun-Cheng Wang, Po-Chyi Su, C.-C. Jay Kuo

CoRR, March, 2026

A Green Learning Approach to LDCT Image Restoration.

Wei Wang, Yixing Wu, C.-C. Jay Kuo

CoRR, February, 2026

A Statistical Approach for Modeling Irregular Multivariate Time Series with Missing Observations.

Dingyi Nie, Yixing Wu, C.-C. Jay Kuo

CoRR, February, 2026

Eosinophil Counting with Green Learning.

Qixin Hu, Yixing Wu, Mate Levente Nagy, Hwan Dong, C.-C. Jay Kuo

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

Prediction of PD-L1 and CD68 in Clear Cell Renal Cell Carcinoma with Green Learning.

Yixing Wu, Alexander Shieh, Steven Y. Cen, Darryl Hwang, Xiaomeng Lei, S. J. Pawan, Manju Aron, Inderbir S. Gill, William Wallace, C.-C. Jay Kuo, Vinay A. Duddalwar

J. Imaging, 2025

2024

Extracorporeal Closed-Loop Respiratory Regulation for Patients With Respiratory Difficulty Using a Soft Bionic Robot.

Yan Zhang, Qinggang Ge, Zongyu Wang, Yuxing Qin, Yixing Wu, Mingjing Wang, Mai Shi, Lei Xue, Weidong Guo, Yuru Zhang, Guangyu Wang, Dangxiao Wang

IEEE Trans. Biomed. Eng., October, 2024

A Statistics-based Feature Generation (SFG) Method: Theory and Applications.

Xinyu Wang, Yixing Wu, Haiyi Li, Vinod K. Mishra, C.-C. Jay Kuo

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Discriminant Radiomic Feature Selection for PD-L1 Prediction in Clear Cell Renal Cell Carcinoma.

Yixing Wu, Alexander Shieh, Steven Y. Cen, Bino A. Varghese, Darryl H. Hwang, William Wallace, C.-C. Jay Kuo, Vinay A. Duddalwar

Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023