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Yefei He

11 papers hereh-index 7553 citations14 works total

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

author position
  • first author3
  • middle author7

Across the 10 of 11 papers where every author was matched, so the position is known.

fields
  • cs.CV7
  • cs.CL2
  • cs.AI1
  • cs.LG1
same name
  • Yefei He — 16 papers, h 4
  • Yefei He — 5 papers, h 12
  • Yefei He — 1 paper

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

activity
20232025
most citedEfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models

4 citations · 12 across the 10 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CV2023

DSText V2: A Comprehensive Video Text Spotting Dataset for Dense and Small Text

Weijia Wu, Yiming Zhang, Yefei He +4

Recently, video text detection, tracking, and recognition in natural scenes are becoming very popular in the computer vision community. However, most existing algorithms and benchm…

cs.CV2023★ 1 cited

Paragraph-to-Image Generation with Information-Enriched Diffusion Model

Weijia Wu, Zhuang Li, Yefei He +6

Text-to-image (T2I) models have recently experienced rapid development, achieving astonishing performance in terms of fidelity and textual alignment capabilities. However, given a…

cs.AI2023★ 1 cited

Dual Grained Quantization: Efficient Fine-Grained Quantization for LLM

Luoming Zhang, Wen Fei, Weijia Wu +3

Large Language Models (LLMs) pose significant hardware challenges related to memory requirements and computational ability. There are two mainstream quantization schemes for LLMs:…

cs.CV2023★ 4 cited

EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models

Yefei He, Jing Liu, Weijia Wu +2

Diffusion models have demonstrated remarkable capabilities in image synthesis and related generative tasks. Nevertheless, their practicality for real-world applications is constrai…

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