Jiahui Mo

According to our database1, Jiahui Mo authored at least 14 papers between 2010 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2022
Single-Channel Blind Signal Separation of the MHD Linear Vibration Sensor Based on Singular Spectrum Analysis and Fast Independent Component Analysis.
Sensors, 2022

2021
Competing Tasks and Task Quality: An Empirical Study of Crowdsourcing Contests.
MIS Q., December, 2021

A Framework for Optimal Crowdsourcing Contest Design.
Proceedings of the 42nd International Conference on Information Systems, 2021

2019
Fake It Till You Make It: An Empirical Investigation of Sales Fraud in E-commerce.
Proceedings of the 23rd Pacific Asia Conference on Information Systems, 2019

Are Contests Effective for Online Labor Markets?
Proceedings of the 25th Americas Conference on Information Systems, 2019

2018
Know When to Run: Recommendations in Crowdsourcing Contests.
MIS Q., 2018

Heterogeneous Interactions in Online Communities: Social and Economic Impact for Online Sellers.
Proceedings of the 22nd Pacific Asia Conference on Information Systems, 2018

An Empirical Investigation of Sales Cheating Effect in E-commerce.
Proceedings of the International Conference on Information Systems, 2018

Participation Behavior and Performance in Open Innovation.
Proceedings of the International Conference on Information Systems, 2018

Is Product Sampling Good for Brands' Online Word of Mouth?
Proceedings of the International Conference on Information Systems, 2018

2017
An Empirical Study of Task Entry Decisions on Open Innovation Contests.
Proceedings of the International Conference on Information Systems, 2017

2016
Investigating Effects of Competing Tasks on Crowdsourcing Contest Platforms.
Proceedings of the International Conference on Information Systems, 2016

2015
Making Task Recommendations in Crowdsourcing Contests.
Proceedings of the 19th Pacific Asia Conference on Information Systems, 2015

2010
A two-stage clustering approach for multi-region segmentation.
Expert Syst. Appl., 2010


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