Bowen Li

Works (3)

Updated: July 5th, 2023 14:42

2020 article

CTLE Adaptation Using Deep Learning in High- speed SerDes Link

Li, B., Jiao, B., Chou, C.-H., Mayder, R., & Franzon, P. (2020, June 1). 2020 IEEE 70TH ELECTRONIC COMPONENTS AND TECHNOLOGY CONFERENCE (ECTC 2020), pp. 952–955.

By: B. Li n, B. Jiao *, C. Chou *, R. Mayder* & P. Franzon n 

author keywords: receiver; CTLE; adaptation; deep neural networks; high- correlation; fast
topics (OpenAlex): Electromagnetic Compatibility and Noise Suppression; VLSI and Analog Circuit Testing; Radio Frequency Integrated Circuit Design
TL;DR: This research focuses on building a model for high-speed SerDes receiver CTLE adaptation behavior, which has a fast simulation speed and high-precision prediction. (via Semantic Scholar)
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15. Life on Land (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: March 8, 2021

2020 article

Self-Evolution Cascade Deep Learning Model for High-Speed Receiver Adaptation

Li, B., Jiao, B., Chou, C.-H., Mayder, R., & Franzon, P. (2020, May 5). IEEE Transactions on Components Packaging and Manufacturing Technology, Vol. 10, pp. 1043–1053.

By: B. Li n, B. Jiao *, C. Chou *, R. Mayder* & P. Franzon n 

author keywords: Adaptation models; Integrated circuit modeling; Logic gates; Receivers; Deep learning; Data models; Training; Adaptation; behavior; cascade; deep learning; high correlation; IBIS algorithmic modeling interface (IBIS-AMI); modeling; receiver; self-evolution cascade deep learning (SCDL)
topics (OpenAlex): Energy Load and Power Forecasting; Advanced Adaptive Filtering Techniques; Model Reduction and Neural Networks
TL;DR: The self-evolution cascade deep learning (SCDL) model is proposed to show a parallel approach to effectively modeling adaptive SerDes behavior and uses its own failure experiences to optimize its future solution search according to the prediction of the receiver equalization adaptation trend. (via Semantic Scholar)
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UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: July 6, 2020

conference paper

Machine learning in physical design

Li, B. W., & Franzon, P. D. Ieee conference on electrical performance of electronic packaging and, 147–149.

By: B. Li & P. Franzon 

Source: NC State University Libraries
Added: August 6, 2018

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