About Me

Hi! I am Can Chen, a second-year PhD student in Data Science at the Halıcıoğlu Data Science Institute, University of California San Diego.

I am broadly interested in machine learning and natural language processing, particularly in problems involving alignment, controllability, and safety, which are especially relevant in the context of large language models (LLMs).

News

• May 2025: Our paper, “Online Detection of LLM-Generated Texts via Sequential Hypothesis Testing by Betting”, co-authored with Prof. Jun-Kun Wang, has been accepted as a poster at ICML 2025 🎉!～
• February 2025: Our paper, “Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting”, co-authored with Prof. 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!

Publications

• Online Detection of LLM-Generated Texts via Sequential Hypothesis Testing by Betting
  Can Chen, Jun-Kun Wang
  ICML (International Conference on Machine Learning), 2025 [Paper]

• Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting
  Can Chen, Jun-Kun Wang
  Preprint [Paper]

Service

• Reviewer for NeurIPS 2024, ICLR 2025, ICML 2025

Internship

• June 2021 - September 2021, Data Analyst Internship, ABC Financial Asset Investment Company, China