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researcher

Yao Zhang

Kyushu University

15 papers hereh-index 679 citations23 works total

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

author position
  • first author5
  • middle author9
  • last author1

Across the 15 of 15 papers where every author was matched, so the position is known.

fields
  • cs.GT15
affiliations
  • Kyushu University
same name
  • Yao Zhang — 134 papers, h 30
  • Yao Zhang — 120 papers
  • Yao Zhang — 31 papers, h 2
  • Yao Zhang — 19 papers, h 19
  • Yao Zhang — 18 papers, h 8
  • Yao Zhang — 16 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
20192025
most citedIncentivize Diffusion with Fair Rewards

8 citations · 20 across the 13 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.GT2023

Incentive-Compatible Selection for One or Two Influentials

Yuxin Zhao, Yao Zhang, Dengji Zhao

Selecting influentials in networks against strategic manipulations has attracted many researchers' attention and it also has many practical applications. Here, we aim to select one…

cs.GT2023★ 2 cited

Distributed Mechanism Design in Social Networks

Haoxin Liu, Yao Zhang, Dengji Zhao

Designing auctions to incentivize buyers to invite new buyers via their social connections is a new trend in mechanism design. The challenge is that buyers are competitors and we n…

cs.GT2023★ 1 cited

A Redistribution Framework for Diffusion Auctions

Sizhe Gu, Yao Zhang, Yida Zhao +1

Redistribution mechanism design aims to redistribute the revenue collected by a truthful auction back to its participants without affecting the truthfulness. We study redistributio…

cs.GT2023★ 1 cited

Optimal Diffusion Auctions

Yao Zhang, Shanshan Zheng, Dengji Zhao

Diffusion auction design is a new trend in mechanism design for which the main goal is to incentivize existing buyers to invite new buyers, who are their neighbors on a social netw…

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