- I am now an assistant professor in the Department of Information & Systems Management at Hong Kong University of Science and Technology. Click here to visit my new homepage.
- My research focuses on distributed problem solving, online content production, and human behavior study through the use of crowdsourcing. Basically, there are three main threads to my research. First, I aim to improve data accuracy for crowdsourced labeling tasks with imperfect workers.
In particular, I design a set of effective algorithms including selective repeated-labeling, expectation-maximization estimation, and quality-based pricing, the combination of which can yield much higher expected net profits. Second, I am interested in understanding and studying human behaviors by conducting web-based experiments.
Some of my work explore how allowing participants to propose and delete links to others at some variable rate changes the overall cooperation level in social networks, and how bonus, disclosure, and choice affect the quality of UGC creation in the presence of monetary payments.
The third thread of my research attempts to predict the completion time of tasks in crowdsourcing marketplaces. To accomplish this, I employ techniques like econometric models and mechanism design.
- For more information, please see my CV.