About me
- I am a fourth-year Ph.D. student at Nanyang Technological University (NTU) advised by Prof. Sinno Jialin Pan, and closely collaborating with Prof. Wenya Wang.
- My recent research focuses on contextualized augmentations and their applications, particularly in retrieval-augmented language models (RALMs), retrieval with in-context learning (ICL), and aligning retrieval with large language models (LLMs).
- Before entering NTU, I received my bachelor degree at Shanghai Jiao Tong University, admitted to IEEE Honor class and Zhiyuan Honor Program. I joined the Apex Data and Knowledge Management Lab, advised by Prof. Yong Yu and Prof. Weinan Zhang.
Internships
- Jun. 2024 - Sep. 2024: Research intern at Institute for Infocomm Research (I2R), Agency for Science, Technology, and Research (A*STAR), advised by Nancy F. Chen
- Mar. 2020 - Nov. 2020: Research intern at ByteDance AI Lab, advised by Prof. Lei Li
- Jul. 2019 - Dec. 2019: Visiting intern at UCLA NLP lab, advised by Prof. Kai-Wei Chang.
Recent news
- Jul. 2024: A new paper to study the mechanisms underlying the effectiveness of in-context learning (ICL) is accepted by the first Conference on Language Modeling (COLM 2024).
- Jun. 2024: Started an internship at A*STAR.
- Oct. 2023: A new paper about retrieval augmentation, in-context learning and domain adaptation is accepted by EMNLP 2023.
- Apr. 2022: A new paper is accepted by NAACL 2022, we propose a new concept of domain puzzle to tackle domain discrepancy.
- Apr. 2021: A new paper about how imagination helps machine translation is accepted by NAACL 2021.
- Jan. 2021: began my Ph.D. journey at NTU.
- Jun. 2020: Awarded the Zhiyuan Hornor Degree of Bachelor of Engineering in Computer Science and Technology.
- Mar. 2020: Started an internship at ByteDance AI Lab.
- Mar. 2019: Thanks for Prof. Kai-Wei Chang accepting me as an intern at UCLA NLP Lab. I’ll go to UCLA in Jun. 2019.
- Sep. 2018: Awarded Shanghai Scholarship (top 3%).
- Oct. 2017: Received a scholarship from the Matsushita Electric Education Fund(top 5%).