---
title: "Yicheng Fu — papers"
description: "Yicheng Fu: 2 papers in the Elamur Research library (2021–2022) — our summary of each, its ideas, references and who cites it."
canonical: "https://research.elamur.ai/free/en/authors/yicheng-fu/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yicheng-fu/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yicheng Fu

# Yicheng Fu

2 papers on this site (2021–2022)

[OpenAlex](https://openalex.org/A5101843894) · [ORCID](https://orcid.org/0000-0003-4721-3401) · h-index 15 · 43 works · 1563 citations (openalex-snapshot, 2026-10-14)

Profile data from OpenAlex; authors with the same name are not always told apart.

- [P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks](https://md.research.elamur.ai/free/en/papers/liu-2022-p-tuning-prompt-tuning-can/) — Xiao Liu, Kaixuan Ji, Yicheng Fu, et al. · 2022
- [P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks](https://md.research.elamur.ai/free/en/papers/liu-2021-p-tuning-v2-prompt-tuning/) — Xiao Liu, Kaixuan Ji, Yicheng Fu, et al. · 2021