About Me
Hi! I’m Can Chen, a first-year PhD student in Data Science at the Halıcıoğlu Data Science Institute, University of California San Diego. I’m fortunate to be advised by Prof. Jun-Kun Wang.
My research interest lies in online learning. Recently, I am working on the LLM-generated text detection by online optimization.
News
- February 2025: Our paper, “Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting”, co-authored with Professor Jun-Kun Wang, is now available on arXiv.
- October 2024: Our paper, “Online Detecting LLM-Generated Text via Sequential Hypothesis Testing by Betting”, co-authored with Professor Jun-Kun Wang, is now available on arXiv.
- August 2024: Received a Ph.D. offer from the Halıcıoğlu Data Science Institute at the University of California, San Diego! I will be advised by Professor Jun-Kun Wang.
- July 2024: Received a Graduate Student Researcher (GSR) appointment at the Halıcıoğlu Data Science Institute to work with Professor Jun-Kun Wang on a project focused on detecting LLM-generated text.
Publications
- Online Detecting LLM-Generated Text via Sequential Hypothesis Testing by Betting [Preprint] Can Chen, Jun-Kun Wang
- Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting [Preprint] Can Chen, Jun-Kun Wang
Service
- Reviewer for NeurIPS 2024, ICLR 2025, ICML 2025
Internship
- June 2021 - September 2021, Data Analyst Internship, ABC Financial Asset Investment Company, China