N. Yang

ORCID: 0009-0007-8242-5895
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About
Contact & Profiles
Research Areas
  • Lung Cancer Treatments and Mutations
  • Lung Cancer Research Studies
  • VLSI and FPGA Design Techniques
  • VLSI and Analog Circuit Testing
  • Cancer therapeutics and mechanisms
  • Advancements in Photolithography Techniques

Institute of Computing Technology
2024

Hunan Cancer Hospital
2022

Recent advances in large language models have demonstrated their potential for automated generation of hardware description (HDL) code from high-level prompts.Researchers utilized fine-tuning to enhance the ability these (LLMs) field Chip Design.However, lack Verilog data hinders further improvement quality by LLMs.Additionally, absence a and electronic design automation (EDA) script augmentation framework significantly increases time required prepare training dataset LLM trainers.This paper...

10.1145/3649329.3657356 article EN 2024-06-23

Recent advances in large language models (LLMs) have demonstrated significant potential for automated hardware description (HDL) code generation from high-level specifications. However, two critical challenges limit further progress this domain: the scarcity of quality Verilog training data and inability current approaches to generate RTL optimized power, performance, area (PPA) metrics. This paper presents a comprehensive data-centric framework that addresses these limitations through...

10.1145/3727980 article EN ACM Transactions on Design Automation of Electronic Systems 2025-04-03
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