Jason Yeh

According to our database, Jason Yeh authored at least 2 papers between 2020 and 2023.

Collaborative distances:

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

2023

Performing Machine Learning Based Outlier Detection for Automotive Grade Products.

Y. L. Yang, P. C. Tsao, C. W. Lin, Ross Lee, Olivia Ni, T. T. Chen, Y. J. Ting, C. T. Lai, Jason Yeh, Arnold Yang, Wayne Huang, Peng Chen, Charly Tsai, Ryan Yang, Y. S. Huang, B. C. Hsu, M. Z. Lee, T. H. Lee, Michael Huang, Coming Chen, Liham Chu, H. W. Kao, N. S. Tsai

Proceedings of the IEEE International Reliability Physics Symposium, 2023

2020

Fast Design Space Adaptation with Deep Reinforcement Learning for Analog Circuit Sizing.

Kevin-CY Tsai, Kai-En Yang, Hung-Hao Shen, Mike Jiang, Fammy Tsai, Chung-An Wang, Yiju Ting, Jason Yeh, Citi Lai

CoRR, 2020