Y. J. Ting

According to our database, Y. J. Ting authored at least 4 papers between 2023 and 2024.

Collaborative distances:

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

2024

Boost CPU Turbo Yield Utilizing Explainable Artificial Intelligence.

C. W. Lin, P. C. Tsao, Ross Lee, Khim Koh, Y. J. Ting, Jennifer Hsiao, C. T. Lai, T. H. Lee

Proceedings of the IEEE International Test Conference, 2024

Vmin Shift Prediction Using Machine Learning-Based Methodology for Automotive Products.

Y. L. Yang, P. C. Tsao, C. W. Lin, H. Q. Chen, B. J. Huang, Hank Hsieh, Kerwin Chen, Ross Lee, Khim Koh, Y. J. Ting, B. C. Hsu, Y. S. Huang, Citi Lai, M. Z. Lee, T. H. Lee

Proceedings of the IEEE International Reliability Physics Symposium, 2024

Utilizing Transformer Deep Learning Based Outlier Detection to Screen Out Reliability Weak ICs.

C. W. Lin, P. C. Tsao, Y. L. Yang, C. C. Sun, C. C. Huang, C. W. Chen, C. K. Chang, Y. J. Ting, K. Koh, Ross Lee, W. C. Chen, Y. S. Huang, M. Z. Lee, C. T. Lai, T. H. Lee

Proceedings of the IEEE International Reliability Physics Symposium, 2024

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