◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Yifan Gong

14 papers hereh-index 16873 citations43 works total

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

author position
  • first author5
  • middle author9

Across the 14 of 14 papers where every author was matched, so the position is known.

fields
  • cs.LG8
  • cs.CV4
  • cs.SD1
  • eess.IV1
same name
  • Yifan Gong — 44 papers, h 0
  • Yifan Gong — 12 papers, h 9
  • Yifan Gong — 8 papers, h 7
  • Yifan Gong — 8 papers, h 2
  • Yifan Gong — 2 papers, h 1
  • Yifan Gong — 2 papers, h 3

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
20202024
most citedMEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge

41 citations · 119 across the 14 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2024★ 1 cited

E2GAN: Efficient Training of Efficient GANs for Image-to-Image Translation

Yifan Gong, Zheng Zhan, Qing Jin +8

One highly promising direction for enabling flexible real-time on-device image editing is utilizing data distillation by leveraging large-scale text-to-image diffusion models to ge…

cs.CV2023

Can Adversarial Examples Be Parsed to Reveal Victim Model Information?

Yuguang Yao, Jiancheng Liu, Yifan Gong +4

Numerous adversarial attack methods have been developed to generate imperceptible image perturbations that can cause erroneous predictions of state-of-the-art machine learning (ML)…

cs.CV2022★ 2 cited

Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution

Yushu Wu, Yifan Gong, Pu Zhao +7

Deep learning-based super-resolution (SR) has gained tremendous popularity in recent years because of its high image quality performance and wide application scenarios. However, pr…

cs.CV2022★ 8 cited

Reverse Engineering of Imperceptible Adversarial Image Perturbations

Yifan Gong, Yuguang Yao, Yize Li +4

It has been well recognized that neural network based image classifiers are easily fooled by images with tiny perturbations crafted by an adversary. There has been a vast volume of…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.