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researcher

Shi Feng

University of Maryland

24 papers hereh-index 293.5k citations182 works total

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

author position
  • first author4
  • middle author18

Across the 22 of 24 papers where every author was matched, so the position is known.

fields
  • cs.CL14
  • cs.LG4
  • cs.CV3
  • cs.AI2
  • q-bio.QM1
affiliations
  • University of Maryland
Homepage
same name
  • Shi Feng — 29 papers, h 4
  • Shi Feng — 22 papers, h 5
  • Shi Feng — 19 papers, h 23
  • Shi Feng — 16 papers, h 6
  • Shi Feng — 11 papers, h 4
  • Shi Feng — 8 papers, h 9

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
20162023
most citedPathologies of Neural Models Make Interpretations Difficult

259 citations · 510 across the 22 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2023

Efficient Text-Guided 3D-Aware Portrait Generation with Score Distillation Sampling on Distribution

Yiji Cheng, Fei Yin, Xiaoke Huang +5

Text-to-3D is an emerging task that allows users to create 3D content with infinite possibilities. Existing works tackle the problem by optimizing a 3D representation with guidance…

cs.CV2022★ 1 cited

ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model with Knowledge-Enhanced Mixture-of-Denoising-Experts

Zhida Feng, Zhenyu Zhang, Xintong Yu +12

Recent progress in diffusion models has revolutionized the popular technology of text-to-image generation. While existing approaches could produce photorealistic high-resolution im…

cs.CV2022★ 3 cited

ERNIE-mmLayout: Multi-grained MultiModal Transformer for Document Understanding

Wenjin Wang, Zhengjie Huang, Bin Luo +8

Recent efforts of multimodal Transformers have improved Visually Rich Document Understanding (VrDU) tasks via incorporating visual and textual information. However, existing approa…

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