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Yu Zhang

University of Illinois at Urbana-Champaign

54 papers hereh-index 272.7k citations76 works total

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

author position
  • sole author2
  • first author16
  • middle author30
  • last author2

Across the 50 of 54 papers where every author was matched, so the position is known.

fields
  • cs.CL34
  • cs.IR6
  • cs.LG5
  • cs.SI4
  • cs.AI2
  • cs.CR1
affiliations
  • University of Illinois at Urbana-Champaign
Homepage
same name
  • Yu Zhang — 139 papers, h 38
  • Yu Zhang — 75 papers, h 51
  • Yu Zhang — 50 papers
  • Yu Zhang — 32 papers, h 18
  • Yu Zhang — 25 papers, h 9
  • Yu Zhang — 25 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
20172026
most citedGenerating Training Data with Language Models: Towards Zero-Shot Language Understanding

80 citations · 380 across the 52 of their papers we have counts for

collaborators
Showing cs.SIShow all

4 papers · 1 filter

cs.SI2025

Survivors, Complainers, and Borderliners: Upward Bias in Online Discussions of Academic Conference Reviews

Hangxiao Zhu, Yian Yin, Yu Zhang

Online discussion platforms, such as community Q&A sites and forums, have become important hubs where academic conference authors share and seek information about the peer review p…

cs.SI2023★ 23 cited

Social network modeling and applications, a tutorial

Lisette Espín-Noboa, Tiago Peixoto, Fariba Karimi

Social networks have been widely studied over the last century from multiple disciplines to understand societal issues such as inequality in employment rates, managerial performanc…

cs.SI2020★ 29 cited

Heterogeneous Network Representation Learning: A Unified Framework with Survey and Benchmark

Carl Yang, Yuxin Xiao, Yu Zhang +2

Since real-world objects and their interactions are often multi-modal and multi-typed, heterogeneous networks have been widely used as a more powerful, realistic, and generic super…

cs.SI2019

Diversifying Seeds and Audience in Social Influence Maximization

Yu Zhang

Influence maximization (IM) has been extensively studied for better viral marketing. However, previous works put less emphasis on how balancedly the audience are affected across di…

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