1 citations · 2 across the 4 of their papers we have counts for
5 papers
All Politics is Local: Redistricting via Local Fairness
Shao-Heng Ko, Erin Taylor, Pankaj K. Agarwal +1
In this paper, we propose to use the concept of local fairness for auditing and ranking redistricting plans. Given a redistricting plan, a deviating group is a population-balanced…
Optimal Price Discrimination for Randomized Mechanisms
Shao-Heng Ko, Kamesh Munagala
We study the power of price discrimination via an intermediary in bilateral trade, when there is a revenue-maximizing seller selling an item to a buyer with a private value drawn f…
Locally Fair Partitioning
Pankaj K. Agarwal, Shao-Heng Ko, Kamesh Munagala +1
We model the societal task of redistricting political districts as a partitioning problem: Given a set of points in the plane, each belonging to one of two parties, and a param…
Optimizing Item and Subgroup Configurations for Social-Aware VR Shopping
Shao-Heng Ko, Hsu-Chao Lai, Hong-Han Shuai +3
Shopping in VR malls has been regarded as a paradigm shift for E-commerce, but most of the conventional VR shopping platforms are designed for a single user. In this paper, we envi…
On VR Spatial Query for Dual Entangled Worlds
Shao-Heng Ko, Ying-Chun Lin, Hsu-Chao Lai +2
With the rapid advent of Virtual Reality (VR) technology and virtual tour applications, there is a research need on spatial queries tailored for simultaneous movements in both the…