Hello! I am a second-year Ph.D. student in the School of Data Science at The Chinese University of Hong Kong, Shenzhen (CUHKSZ), supervised by Professor Tongxin Li. My research interests focus on In-Context Reinforcement Learning and Robust LLM Applications.

Prior to that, I completed a Master’s at New York University (Courant Institute) in the USA and a 2+2 double Bachelor’s program at Queen’s University in Canada and Jilin University in China.

Education 🎓

• The Chinese University of Hong Kong, Shenzhen, China  
  Ph.D. in Data Science (2023 – Present)

• New York University (Courant Institute), USA  
  Master of Science in Computer Science (2019 – 2021)

• Queen’s University, Canada  
  Bachelor of Applied Science in Computer Engineering (2017 – 2019)

• Jilin University, China  
  Bachelor of Engineering in Software Engineering (2015 – 2019)

Experience 📚

• McGill University, Intelligent Automation Lab, Canada  
  Research Assistant (2022 - 2023)

• Tsinghua University, THUNLP Lab, China  
  NLP Algorithm Engineer (2021 - 2022)

• New York University (Courant Institute), USA  
  CSCI-GA.1180 Course Tutor (2020 - 2021)

• Amazon Web Services (AWS), Identity and Access Management, USA  
  Full-Stack Software Engineer Intern (2020 Summer)

• Ben-Gurion University of the Negev, Israel  
  Research Program in Big Data & Cybersecurity (2018 Summer)

Publications 📖

• Fanzeng Xia, Alfonsus Rodriques Rendy, Nicholas Oh, Zoe Emmanuel Halim, Aaron Sasmita, Tinko Sebastian Bartels, Shaolei Ren, Tongxin Li. “Position: Towards Unified In-Context Reinforcement Learners.” [arXiv]

• Fanzeng Xia, Hao Liu, Yisong Yue, and Tongxin Li. “Beyond numeric awards: In-context dueling bandits with llm agents.” arXiv:2407.01887. [arXiv]