Hello! I am Qingyu Guo (郭庆宇), a Ph.D. candidate from Hong Kong University of Science and Technology. I am honored to be advised by Prof. Xiaojuan Ma since 2019.
My research interest lies in social computing and Human-Computer Interaction (HCI), with a focus on understanding social dynamics in online creative communities. I aim to gain insights into community moderation and facilitate creative communication by analyzing large-scale user behavior data using data-driven approaches. I am also exploring enhancing creativity-supporting tools by mining rich user interaction data in online creative communities. Additionally, I have explored leveraging user-centric AI for social good, such as for online social support and augmenting critical thinking skills.
Besides my supervisor, I am fortunate to have the opportunity of conducting research with Prof. Hao Liu, Prof. Fuzhen Zhuang, Dr. Hengshu Zhu, and Prof. Hui Xiong between 2019 and 2020 at Baidu Research. Under their guidance, I have been working on the topic of time-series forecasting and the application of graphs.
Publications
Understanding the Features of Text-Image Posts and Their Received Social Support in Online Grief Support Communities
Engage Wider Audience or Facilitate Quality Answers? a Mixed-methods Analysis of Questioning Strategies for Research Sensemaking on a Community Q&A Site
Exploring the Effects of Event-induced Sudden Influx of Newcomers to Online Pop Music Fandom Communities: Content, Interaction, and Engagement
What Makes Creators Engage with Online Critiques? Understanding the Role of Artifacts’ Creation Stage, Characteristics of Community Comments, and their Interactions
Characterizing and Forecasting Urban Vibrancy Evolution: A Multi-View Graph Mining Perspective
Facilitating Continuous Text Messaging in Romantic Encounters Online by Expanded Keywords Enumeration
