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Xiaowei Li

4 papers hereh-index 361 citations14 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AR2
  • cs.PF2
same name
  • Xiaowei Li — 3 papers, h 5
  • Xiaowei Li — 3 papers, h 3
  • Xiaowei Li — 3 papers, h 2
  • Xiaowei Li — 2 papers, h 1
  • Xiaowei Li — 2 papers, h 4
  • Xiaowei Li — 2 papers, h 8

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.AR2026

VeriPilot: An LLM-Powered Verilog Debugging Framework

Yihan Wang, Cheng Liu, Jiazheng Zhang +4

Verilog debugging remains one of the most time-consuming stages in digital circuit design. Recent advances in Large Language Models (LLMs) have enabled automated debugging; however…

cs.PF2026

ANNS-AMP: Accelerating Approximate Nearest Neighbor Search via Adaptive Mixed-Precision Computing

Mingkai Chen, Cheng Liu, Shengwen Liang +3

Approximate nearest neighbor search(ANNS) is a critical kernel in modern applications such as LLM and recommendation systems.However,its efficiency is fundamentally limited by the…

cs.AR2026

FT-Pilot: Automated Fault-Tolerant RTL Rewriting via Vulnerability-Guided LLMs

Weixing Liu, Zizhen Liu, Jing Ye +4

As integrated circuit technologies continue to scale toward advanced process nodes, the continual reduction in node capacitance and supply voltage has made digital systems increasi…

cs.PF2025

DRIM-ANN: An Approximate Nearest Neighbor Search Engine based on Commercial DRAM-PIMs

Mingkai Chen, Tianhua Han, Cheng Liu +8

Approximate nearest neighbor search (ANNS) is essential for applications like recommendation systems and retrieval-augmented generation (RAG) but is highly I/O-intensive and memory…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.