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Song Zuo

17 papers hereh-index 17993 citations49 works total

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

author position
  • sole author1
  • middle author1
  • last author15

Across the 17 of 17 papers where every author was matched, so the position is known.

fields
  • cs.GT12
  • cs.CC2
  • cs.AI1
  • econ.TH1
  • eess.SY1
same name
  • Song Zuo — 7 papers, h 4
  • Song Zuo — 4 papers, h 2
  • Song Zuo — 1 paper

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
20132023
most citedOptimal dynamic mechanisms with ex-post IR via bank accounts

19 citations · 33 across the 15 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.GT2023★ 1 cited

Non-uniform Bid-scaling and Equilibria for Different Auctions: An Empirical Study

Yuan Deng, Jieming Mao, Vahab Mirrokni +2

In recent years, the growing adoption of autobidding has motivated the study of auction design with value-maximizing auto-bidders. It is known that under mild assumptions, uniform…

cs.GT2023★ 1 cited

Efficiency of the Generalized Second-Price Auction for Value Maximizers

Yuan Deng, Mohammad Mahdian, Jieming Mao +3

We study the price of anarchy of the generalized second-price auction where bidders are value maximizers (i.e., autobidders). We show that in general the price of anarchy can be as…

cs.GT2023

Bayesian Calibrated Click-Through Auction

Junjie Chen, Minming Li, Haifeng Xu +1

We study information design in click-through auctions, in which the bidders/advertisers bid for winning an opportunity to show their ads but only pay for realized clicks. The payme…

cs.GT2023

Autobidding Auctions in the Presence of User Costs

Yuan Deng, Jieming Mao, Vahab Mirrokni +2

We study autobidding ad auctions with user costs, where each bidder is value-maximizing subject to a return-over-investment (ROI) constraint, and the seller aims to maximize the so…

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