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 the topic of online creativity communities. Additionally, I have explored leveraging technology for social good, such as online social support and education.

Besides my supervisor, I am fortunate to have the opportunity of conducting research with Prof. Hao Liu, Prof. Fuzhen Zhuang, 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

Engage Wider Audience or Facilitate Quality Answers? a Mixed-methods Analysis of Questioning Strategies for Research Sensemaking on a Community Q&A Site

Changyang He, Yue Deng, Lu He, Qingyu Guo, Yu Zhang, Zhicong Lu, Bo Li
CSCW 2024

CriTrainer: An Adaptive Training Tool for Critical Paper Reading

Kangyu Yuan, Hehai Lin, Shilei Cao, Zhenhui Peng, Qingyu Guo, Xiaojuan Ma
UIST 2023

Exploring the Effects of Event-induced Sudden Influx of Newcomers to Online Pop Music Fandom Communities: Content, Interaction, and Engagement

CSCW 2023

What Makes Creators Engage with Online Critiques? Understanding the Role of Artifacts’ Creation Stage, Characteristics of Community Comments, and their Interactions

CHI 2023

Characterizing and Forecasting Urban Vibrancy Evolution: A Multi-View Graph Mining Perspective

TKDD 2023

Facilitating Continuous Text Messaging in Romantic Encounters Online by Expanded Keywords Enumeration

CSCW 2022 (Poster)

Understanding and Modeling Viewers’ First Impressions with Images in Online Medical Crowdfunding

Qingyu Guo, Siyuan Zhou, Yifeng Wu, Zhenhui Peng, Xiaojuan Ma
CHI 2022

Who will Win the Data Science Competition? Insights from KDD Cup 2019 and Beyond

TKDD 2022

Effects of Support-Seekers’ Community Knowledge on their Expressed Satisfaction with the Received Comments in Mental Health Communities

CHI 2021

A Survey on Knowledge Graph-based Recommender Systems

TKDE 2020

Exploring the Effects of Technological Writing Assistance for Support Providers in Online Mental Health Community

CHI 2020