◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Yuzhe Yang

47 papers hereh-index 233.3k citations58 works total

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

author position
  • first author10
  • middle author23
  • last author8

Across the 41 of 47 papers where every author was matched, so the position is known.

fields
  • cs.LG24
  • cs.CV8
  • cs.AI6
  • cs.CY2
  • cs.HC2
  • cs.CL1
same name
  • Yuzhe Yang — 15 papers, h 6
  • Yuzhe Yang — 6 papers, h 14
  • Yuzhe Yang — 4 papers, h 4
  • Yuzhe Yang — 2 papers, h 2
  • Yuzhe Yang — 2 papers, h 6
  • Yuzhe Yang — 1 paper, h 1

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
20172026
most citedRethinking the Value of Labels for Improving Class-Imbalanced Learning

212 citations · 418 across the 42 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.LG2022★ 20 cited

SimPer: Simple Self-Supervised Learning of Periodic Targets

Yuzhe Yang, Xin Liu, Jiang Wu +4

From human physiology to environmental evolution, important processes in nature often exhibit meaningful and strong periodic or quasi-periodic changes. Due to their inherent label…

cs.LG2022★ 11 cited

Rank-N-Contrast: Learning Continuous Representations for Regression

Kaiwen Zha, Peng Cao, Jeany Son +2

Deep regression models typically learn in an end-to-end fashion without explicitly emphasizing a regression-aware representation. Consequently, the learned representations exhibit…

cs.LG2022★ 3 cited

Domain Adaptation with Factorizable Joint Shift

Hao He, Yuzhe Yang, Hao Wang

Existing domain adaptation (DA) usually assumes the domain shift comes from either the covariates or the labels. However, in real-world applications, samples selected from differen…

cs.LG2022★ 4 cited

On Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization and Beyond

Yuzhe Yang, Hao Wang, Dina Katabi

Real-world data often exhibit imbalanced label distributions. Existing studies on data imbalance focus on single-domain settings, i.e., samples are from the same data distribution.…

◍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.