Yufan Zhuang

CSE@UC San Diego

prof_pic.jpg

Anywhere on campus :)

9500 Gilman Drive

La Jolla, California

Hey Yufan (Chinese: 庄宇凡) here! I am a PhD student in UCSD’s Computer Science & Engineering department advised by Jingbo Shang. I work in machine learning, focusing on natural languange processing and large language models. My other research interests include data minining, computational sociology and AI-for-code.

Prior to my PhD study, I worked at IBM T. J. Watson Research Center as a research engineer helping to enhance software engineering with the power of AI and vice versa. I received my MS in Data Science from Columbia, my BSc in Applied Math Minor in CS (with First Class Honors) from Hong Kong Polytechnic University.

news

Jun 19, 2023 I’ve started my summer internship at the Deep Learning group of Microsoft Research (Redmond, Washington), mentored by Chandan Singh and Liyuan Liu!
May 12, 2023 Our paper “Incorporating Signal Awareness in Source Code Modeling: an Application to Vulnerability Detection” has been published at ACM Transactions on Software Engineering and Methodology!
Apr 29, 2022 Our paper “Sleeping Lion or Sick Man? Machine Learning Approaches to Deciphering Heterogeneous Images of Chinese in North America” has been published at AAG!
Jul 11, 2021 I left NYC and have moved to San Diego! :smile:
Jun 02, 2021 Our paper “Probing model signal-awareness via prediction-preserving input minimization” has been accepted at FSE 2021!

latest posts

selected publications

  1. arXiv
    Learning a Decision Tree Algorithm with Transformers
    Yufan Zhuang , Liyuan Liu , Chandan Singh , Jingbo Shang , and Jianfeng Gao
    arXiv preprint arXiv:2402.03774, 2024
    PDF
  2. NeurIPS UniReps
    WavSpA: Wavelet Space Attention for Boosting Transformers’ Long Sequence Learning Ability
    Yufan Zhuang , Zihan Wang , Fangbo Tao , and Jingbo Shang
    NeurIPS 1st UniReps Workshop, 2023
    PDF
  3. TSE
    Incorporating Signal Awareness in Source Code Modeling: an Application to Vulnerability Detection
    Sahil Suneja , Yufan Zhuang , Yunhui Zheng , Jim Laredo , Alessandro Morari , and Udayan Khurana
    ACM Transactions on Software Engineering and Methodology, 2023
    PDF
  4. AAG
    Sleeping Lion or Sick Man? Machine Learning Approaches to Deciphering Heterogeneous Images of Chinese in North America
    Qiang Fu , Yufan Zhuang , Yushu Zhu , and Xin Guo
    Annals of the American Association of Geographers, 2022
    PDF
  5. FSE
    Probing model signal-awareness via prediction-preserving input minimization
    Yufan Zhuang* , Sahil Suneja* , Yunhui Zheng* , Alessandro Morari , and Jim Laredo
    ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021
    PDF
  6. BDR
    Agreeing to disagree: choosing among eight topic-modeling methods
    Qiang Fu , Yufan Zhuang , Jiaxin Gu , Yushu Zhu , and Xin Guo
    Big Data Research, 2021
    PDF