◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

R. He

22 papers hereh-index 151.4k citations29 works total

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

author position
  • middle author8
  • last author14

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

fields
  • cs.CV9
  • cs.CR6
  • cs.LG6
  • cs.CL1
same name
  • R. He — 70 papers, h 62
  • R. He — 46 papers, h 47
  • R. He — 33 papers, h 37
  • R. He — 27 papers, h 22
  • R. He — 17 papers, h 14
  • R. He — 7 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
20212026
most citedA Comprehensive Survey on Test-Time Adaptation under Distribution Shifts

244 citations · 306 across the 22 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CV2024★ 1 cited

Sample Correlation for Fingerprinting Deep Face Recognition

Jiyang Guan, Jian Liang, Yanbo Wang +1

Face recognition has witnessed remarkable advancements in recent years, thanks to the development of deep learning techniques.However, an off-the-shelf face recognition model as a…

cs.LG2024

STAMP: Outlier-Aware Test-Time Adaptation with Stable Memory Replay

Yongcan Yu, Lijun Sheng, Ran He +1

Test-time adaptation (TTA) aims to address the distribution shift between the training and test data with only unlabeled data at test time. Existing TTA methods often focus on impr…

cs.CR2024

Towards Eliminating Hard Label Constraints in Gradient Inversion Attacks

Yanbo Wang, Jian Liang, Ran He

Gradient inversion attacks aim to reconstruct local training data from intermediate gradients exposed in the federated learning framework. Despite successful attacks, all previous…

cs.LG2024★ 1 cited

Exploring Vacant Classes in Label-Skewed Federated Learning

Kuangpu Guo, Yuhe Ding, Jian Liang +3

Label skews, characterized by disparities in local label distribution across clients, pose a significant challenge in federated learning. As minority classes suffer from worse accu…

◍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.