Q
Qiang Fu
Researcher at National University of Singapore
Publications - 55
Citations - 1214
Qiang Fu is an academic researcher from National University of Singapore. The author has contributed to research in topics: CONTEST & Computer science. The author has an hindex of 17, co-authored 45 publications receiving 996 citations.
Papers
More filters
Journal ArticleDOI
The optimal multi-stage contest
Qiang Fu,Jingfeng Lu +1 more
TL;DR: In this article, the authors investigated the optimal structure of multi-stage sequential elimination games and found that for concave and moderately convex impact functions, the contest organizer should allocate the entire prize purse to a single final prize, regardless of the contest sequence.
Posted Content
The Optimal Multi-Stage Contest
Qiang Fu,Jingfeng Lu +1 more
TL;DR: In this article, the authors investigated the optimal structure of multi-stage sequential elimination contests with pooling competition in each stage, and showed that the more complete the contest sequence is, the more efforts can be induced from the contestants.
Journal ArticleDOI
Team Contests with Multiple Pairwise Battles
Qiang Fu,Jingfeng Lu,Yue Pan +2 more
TL;DR: In this article, a multi-battle team game is considered where players from two rival teams form pairwise matches to fight in distinct component battles, which are carried out sequentially or partially.
Journal ArticleDOI
Micro foundations of multi-prize lottery contests: a perspective of noisy performance ranking
Qiang Fu,Jingfeng Lu,Jingfeng Lu +2 more
TL;DR: Under plausible conditions, it is established that the model proposed is stochastically equivalent to the family of multi-prize lottery contests built upon ratio-form contest success functions and sheds light on the micro-foundations of the popularly adopted lottery contest models.
Journal ArticleDOI
A Theory of Affirmative Action in College Admissions
TL;DR: This article found that the stronger group responds to affirmative action more aggressively than the weaker group, which tends to widen the intergroup test score gap, and that when the weaker groups are in the minority, these results reconcile the often assumed conflicts between diversity and academic quality.