Bio

I am a first-year Ph.D. student in the Jayhawk Data Science Lab at the University of Kansas, under the supervision of Dr. Zijun Yao. My current research centers around health informatics, natural language processing, and graph learning. Previously, I received my B.E. in Artificial Intelligence from the Guangdong University of Technology in 2024, under the guidance of Dr. Fenghuan Li, focusing on interpretable depression detection utilizing graph neural networks and contrastive learning.

Here is my CV.

Publications

1. Chen Chen, Fenghuan Li, Haopeng Chen, Yuankun Lin, “Heterogeneous Subgraph Network with Prompt Learning for Interpretable Depression Detection on Social Media”. Knowledge-Based Systems (KBS), 2024. Link

News

• 06/2024: I recieve the Excellent Bachelor Thesis Award.
• 02/2024: My manuscript is accepted by the Knowledge-Based Systems.
• 07/2023: I intern at the China Mobile Information Technology Company.
• 06/2023: I join the Redbird Challenge Camp at the Hong Kong University of Science and Technology.