My research interests include multifacets of Information Retrieval (IR) systems that are situated in a social context. My recent studies focus on bringing fairness and transparency to IR. In particular, I try to understand the bias associated with search and recommendation systems. I develop fundamental frameworks and efficient algorithms to strike a balance between fairness and different factors of IR systems.
My recent résumé is available here.
Ph.D. in Computer Science (2020)
B.E. in Computer Science (Honors Degree)
Chu Kochen Honors College, Zhejiang University
Model group behaviors in fraud email activities on the network of user accounts
Develop graph-based algorithms for detecting groups of fraud accounts
Define influence factors for fraud activities, and extract meaningful features for evaluating the significance of fraud activities
Develop content-based approach to phishing email detection
Build an effective spam filter with natural language processing and machine learning techniques