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Shaojie Tang
Researcher at University of Texas at Dallas
Publications - 348
Citations - 8505
Shaojie Tang is an academic researcher from University of Texas at Dallas. The author has contributed to research in topics: Wireless sensor network & Computer science. The author has an hindex of 41, co-authored 318 publications receiving 6895 citations. Previous affiliations of Shaojie Tang include Temple University & Illinois Institute of Technology.
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Modeling data dissemination in online social networks: a geographical perspective on bounding network traffic load
TL;DR: This work proposes a three-layered system model to formulate data dissemination sessions for social applications in OSNs and derives the traffic load of OSNs under a realistic assumption that every source sustained a data generating rate of constant order.
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Distributed Non-Convex Optimization with Sublinear Speedup under Intermittent Client Availability
TL;DR: This work proposes a simple distributed non-convex optimization algorithm, called Federated Latest Averaging (FedLaAvg), which leverages the latest gradients of all clients, even when the clients are not available, to jointly update the global model in each iteration.
Journal ArticleDOI
Mechanism design for set cover games with selfish element agents
TL;DR: This article develops several approximately efficient strategyproof mechanisms that decide, after soliciting the declared bids by all elements, which elements will be covered, which sets will provide the coverage to these selected elements, and how much each element will be charged.
Journal ArticleDOI
Differentially Private Mechanisms for Budget Limited Mobile Crowdsourcing
TL;DR: This study designs differentially-private mechanisms for a scenario where a mobile crowdsourcing platform aims to maximize the crowdsourcing revenue under a budget constraint, and users are interested in maximizing their utility while keeping their cost private.
Proceedings ArticleDOI
Online Pricing with Reserve Price Constraint for Personal Data Markets
TL;DR: Wang et al. as mentioned in this paper proposed a contextual dynamic pricing mechanism with the reserve price constraint, which features the properties of ellipsoid for efficient online optimization, and can support linear and non-linear market value models with uncertainty.