activity
20172022
most citedMechanism Design for Multi-Party Machine Learning

15 citations · 25 across the 6 of their papers we have counts for

collaborators

6 papers

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…

cs.MA2020★ 15 cited

Mechanism Design for Multi-Party Machine Learning

Mengjing Chen, Yang Liu, Weiran Shen +3

In a multi-party machine learning system, different parties cooperate on optimizing towards better models by sharing data in a privacy-preserving way. A major challenge in learning…

cs.MA2019★ 3 cited

Optimal Common Contract with Heterogeneous Agents

Shenke Xiao, Zihe Wang, Mengjing Chen +2

We consider the principal-agent problem with heterogeneous agents. Previous works assume that the principal signs independent incentive contracts with every agent to make them inve…

cs.GT2019

A Game-theoretical Approach to Analyze Film Release Time

Hua Liu, Mengjing Chen, Xiaolong Wang +1

Film release dates play an important part in box office revenues because of the facts of obvious seasonality demand in the film industry and severe competition among films shown at…

cs.GT2019★ 3 cited

Optimal mechanisms with budget for user generated contents

Mengjing Chen, Pingzhong Tang, Zihe Wang +2

In this paper, we design gross product maximization mechanisms which incentivize users to upload high-quality contents on user-generated-content (UGC) websites. We show that, the p…

eess.SY2017★ 4 cited

Optimal Vehicle Dispatching Schemes via Dynamic Pricing

Mengjing Chen, Weiran Shen, Pingzhong Tang +1

Over the past few years, ride-sharing has emerged as an effective way to relieve traffic congestion. A key problem for these platforms is to come up with a revenue-optimal (or GMV-…