activity
20162020
most citedOn the Privacy-Utility Tradeoff in Peer-Review Data Analysis

9 citations · 11 across the 3 of their papers we have counts for

collaborators

6 papers

cs.CR20209 cited

On the Privacy-Utility Tradeoff in Peer-Review Data Analysis

Wenxin Ding, Nihar B. Shah, Weina Wang

A major impediment to research on improving peer review is the unavailability of peer-review data, since any release of such data must grapple with the sensitivity of the peer revi…

cs.PF2020

Optimal Resource Allocation for Elastic and Inelastic Jobs

Benjamin Berg, Mor Harchol-Balter, Benjamin Moseley +2

Modern data centers are tasked with processing heterogeneous workloads consisting of various classes of jobs. These classes differ in their arrival rates, size distributions, and j…

cs.GT20191 cited

Impact of Social Learning on Privacy-Preserving Data Collection

Abdullah Basar Akbay, Weina Wang, Junshan Zhang

We study a model where a data collector obtains data from users through a payment mechanism, aiming to learn the underlying state from the elicited data. The private signal of each…

cs.SI2019

QuickStop: A Markov Optimal Stopping Approach for Quickest Misinformation Detection

Honghao Wei, Xiaohan Kang, Weina Wang +1

This paper combines data-driven and model-driven methods for real-time misinformation detection. Our algorithm, named QuickStop, is an optimal stopping algorithm based on a probabi…

cs.LG20191 cited

Almost Boltzmann Exploration

Harsh Gupta, Seo Taek Kong, R. Srikant +1

Boltzmann exploration is widely used in reinforcement learning to provide a trade-off between exploration and exploitation. Recently, in (Cesa-Bianchi et al., 2017) it has been sho…

cs.GT2016

The Value of Privacy: Strategic Data Subjects, Incentive Mechanisms and Fundamental Limits

Weina Wang, Lei Ying, Junshan Zhang

We study the value of data privacy in a game-theoretic model of trading private data, where a data collector purchases private data from strategic data subjects (individuals) throu…