I am a Ph.D. student at the College of Software, Nankai University. My research interests lie broadly in Human-Computer Interaction (HCI) and Human-AI Interaction.

My current research focuses on understanding and designing human-centered intelligent systems for digital safety, AI-mediated education and intervention, and user experience. I am particularly interested in how interactive and AI-powered systems can support people’s judgment, decision-making, and protective behaviors in uncertain real-world situations.

I am fortunate to be advised by Prof. Haining Zhang and Prof. Nan Gao at Nankai University.

📑 News

• Sep. 2026 — Our paper on large-scale smartphone user experience analysis was recommended for acceptance by ACM IMWUT/Ubicomp, pending minor revisions.
• Sep. 2026 — Started a user study on how university students judge and respond to uncertain scam risks, as part of our ongoing research on interactive anti-scam training.
• 2026 — Working on human-centered AI systems for campus safety education, safety information support, and risk communication.

🔬 Research

Interactive Anti-Scam Training

I study how people recognize and respond to potential scams when the risk is still uncertain. My current work explores interactive and AI-mediated simulations that allow users to experience realistic scam scenarios, make decisions, recover from mistakes, and practice protective behaviors such as verification, help-seeking, refusal, and disengagement.

This research combines qualitative user studies, interaction design, prototyping, and empirical evaluation to understand how anti-scam education can move beyond simply teaching users to identify whether a message is fraudulent.

Human-Centered AI for Safety

I am interested in how Human-Centered AI can support safety-related decision-making and education in everyday environments. Current projects explore AI-assisted safety information services, interactive safety education, campus risk communication, and intelligent systems that help users understand and respond to potential risks.

My broader goal is to investigate how AI systems can provide useful assistance while preserving human judgment, agency, and trust.

User Experience and Ubiquitous Computing

I also work on methods for understanding user experience at scale. One line of my research investigates how large-scale online user feedback can be transformed into structured and interpretable representations of smartphone user experience.

I am interested in combining computational methods with human-centered evaluation to understand user experience across devices, platforms, and everyday computing contexts.

🎓 Education

Nankai University

Ph.D. in Software Engineering, 2024 – Present College of Software Entered the master’s program in 2024 and transferred to the Ph.D. program in 2026. Advisor: Prof. Haining Zhang and Prof. Nan Gao

Nankai University

Bachelor’s Degree in Software Engineering, 2020 – 2024

🔗 Links

Email / Google Scholar / GitHub / ORCID