activity
20122023
most citedWarm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings

29 citations · 221 across the 38 of their papers we have counts for

collaborators

39 papers

cs.GT2023

A Strategy-proof Mechanism For Networked Housing Markets

Youjia Zhang, Pingzhong Tang

This paper studies a house allocation problem in a networked housing market, where agents can invite others to join the system in order to enrich their options. Top Trading Cycle i…

cs.GT2023

Sequential Persuasion Using Limited Experiments

Bonan Ni, Weiran Shen, Pingzhong Tang

Bayesian persuasion and its derived information design problem has been one of the main research agendas in the economics and computation literature over the past decade. However,…

cs.GT2023

A Truthful Referral Auction Over Networks

Youjia Zhang, Pingzhong Tang

This paper studies a mechanism design problem over a network, where agents can only participate by referrals. The Bulow-Klemberer theorem proposes that expanding the number of part…

cs.GT2023★ 1 cited

Collusion-proof And Sybil-proof Reward Mechanisms For Query Incentive Networks

Youjia Zhang, Pingzhong Tang

This paper explores reward mechanisms for a query incentive network in which agents seek information from social networks. In a query tree issued by the task owner, each agent is r…

cs.GT2022★ 2 cited

Vulnerabilities of Single-Round Incentive Compatibility in Auto-bidding: Theory and Evidence from ROI-Constrained Online Advertising Markets

Juncheng Li, Pingzhong Tang

Most of the work in the auction design literature assumes that bidders behave rationally based on the information available for every individual auction, and the revelation princip…

cs.GT2022

Optimal Anonymous Independent Reward Scheme Design

Mengjing Chen, Pingzhong Tang, Zihe Wang +2

We consider designing reward schemes that incentivize agents to create high-quality content (e.g., videos, images, text, ideas). The problem is at the center of a real-world applic…