Yi-Hsien Hsieh

According to our database, Yi-Hsien Hsieh authored at least 6 papers between 2016 and 2024.

Collaborative distances:

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

2024

Scalable Numerical Embeddings for Multivariate Time Series: Enhancing Healthcare Data Representation Learning.

Chun-Kai Huang, Yi-Hsien Hsieh, Ta-Jung Chien, Li-Cheng Chien, Shao-Hua Sun, Tung-Hung Su, Jia-Horng Kao, Che Lin

CoRR, 2024

2023

LE-DTA: Local Extrema Convolution for Drug Target Affinity Prediction.

Tanoj Langore, Te-Cheng Hsu, Yi-Hsien Hsieh, Che Lin

Proceedings of the IEEE International Conference on Acoustics, 2023

Utilizing Graph Neural Networks for Breast Cancer Prognosis Prediction with High-dimensional Genomic Data.

Tzu-Chen Huang, Te-Cheng Hsu, Yi-Hsien Hsieh, Che Lin

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

X-RIM: Extreme Recurrent Independent Mechanisms for Noise-resistant and Interpretable Stroke Risk Prediction.

Yi-Hsien Hsieh, Jung-Chi Hsu, Che Lin, Lian-Yu Lin

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Meta-EHR: A meta-learning approach for electronic health records with a high imbalanced ratio and missing rate.

Hsu-Hsiang Chang, Te-Cheng Hsu, Yi-Hsien Hsieh, Che Lin

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2016

An all-digital DLL with duty-cycle correction using reusable TDC.

Shao-Ku Kao, Yi-Hsien Hsieh, Hsiang-Chi Cheng

Int. J. Circuit Theory Appl., 2016