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Xinna Ji

dblp:209/6878 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Network optimization and economics · 100%
Theoretical computer science
1 paper
Algorithmic game theory and mechanism design · 100%
Human-computer interaction and pervasive computing
1 paper
Collaborative and social computing · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Network optimization and economics › mechanism design › incentive mechanism
crowdsourcing incentive mechanism
0.512021
Generalized Lottery Trees: Budget-Balanced Incentive Tree Mechanisms for Crowdsourcing · IEEE Trans. Mob. Comput. 2021
Network optimization and economics › mechanism design
incentive mechanism
0.512021
Generalized Lottery Trees: Budget-Balanced Incentive Tree Mechanisms for Crowdsourcing · IEEE Trans. Mob. Comput. 2021
Algorithmic game theory and mechanism design › mechanism design › algorithmic mechanism design
budget-feasible mechanism
0.512021
Generalized Lottery Trees: Budget-Balanced Incentive Tree Mechanisms for Crowdsourcing · IEEE Trans. Mob. Comput. 2021
Collaborative and social computing
crowdsourcing
0.112021
Generalized Lottery Trees: Budget-Balanced Incentive Tree Mechanisms for Crowdsourcing · IEEE Trans. Mob. Comput. 2021

Methods — techniques the papers use, named apart from their topics

sybil attack resistance analysis · 1.5cumulative prospect theory · 1.5
YearPublicationVenuePosition
2021 Generalized Lottery Trees: Budget-Balanced Incentive Tree Mechanisms for Crowdsourcing
abstract
Incentive mechanism design has aroused extensive attention for crowdsourcing applications in recent years. Most research assumes that participants are already in the system and aware of the existence of crowdsourcing tasks. Whereas in real-life scenarios without this assumption, it is more effective to leverage incentive tree mechanisms that incentivize both users' direct contributions and solicitations to other users. Although such mechanisms have been investigated, we are the first to propose budget-balanced incentive tree mechanisms, called generalized lottrees, which require the total payout to be equal to the announced budget, while guaranteeing several desirable properties including continuing contribution incentive, continuing solicitation incentive, value proportional to contribution, unprofitable solicitor bypassing, and unprofitable Sybil attack. Moreover, three types of generalized lottree mechanisms, 1-Pachira, K-Pachira and Sharing-Pachira, are presented for supporting diversified requirements. A solid theoretical guideline on the mechanism selection is provided based on the Cumulative Prospect Theory. Both extensive simulations and realistic experiments with 82 users are conducted to confirm our theoretical analysis.
Dong Zhao 0001, Huadong Ma, Xinna Ji
IEEE Trans. Mob. Comput.3