I am a second-year CS Ph.D. student at the University of Illinois Urbana-Champaign in the PL/FM/SE group, advised by Prof. Lingming Zhang.

My research interest lies in Large Language Models (LLM) for Code. My ongoing works include improving LLMs with Instruction Tuning and Mixture-of-Experts (MoE) for better code generation and automated debugging. You can find my CV here.

I obtained my bachelor’s degrees at Tsinghua University, including one in Software Engineering from the School of Software and one in Business Administration from the School of Economics and Management. I was a research assistant at Software System Security Assurance Group during my undergraduate years, advised by Prof. Yu Jiang.


  • [2024-05] One research paper on Mixture-of-Expert, Model Merging, and Instruction Tuning publised at ACL’24!
  • [2024-05] One research paper on Instruction Tuning for Code publised at ICML’24!
  • [2023-09] One research paper on LLM for APR publised at ASE’23!
  • [2023-07] One research paper on Deep Learning Robustness publised at ISSTA’23!
  • [2022-01] I’m thrilled to get accepted into the Ph.D. program at Illinois CS!
  • [2021-07] One research paper on Deep Learning Robustness published at ISSTA’21!


  • ${\mathcal X}$FT: Unlocking the Power of Code Instruction Tuning by Simply Merging Upcycled Mixture-of-Experts
    Yifeng Ding, Jiawei Liu, Yuxiang Wei, Terry Yue Zhuo, and Lingming Zhang
    62nd Annual Meeting of the Association for Computational Linguistics
    (ACL 2024), To appear, August 2024. [paper]
  • Magicoder: Source Code Is All You Need
    Yuxiang Wei, Zhe Wang, Jiawei Liu, Yifeng Ding, and Lingming Zhang
    Forty-first International Conference on Machine Learning
    (ICML 2024), To appear, July 2024. [paper]
  • The Plastic Surgery Hypothesis in the Era of Large Language Models
    Chunqiu Steven Xia, Yifeng Ding, and Lingming Zhang
    38th IEEE/ACM International Conference on Automated Software Engineering
    (ASE 2023), Pages 522–534, September 2023. [paper]
  • CoopHance: Cooperative Enhancement for Robustness of Deep Learning Systems
    Quan Zhang, Yongqiang Tian, Yifeng Ding, Shanshan Li, Chengnian Sun, Yu Jiang, Jiaguang Sun
    32nd ACM International Symposium on Software Testing and Analysis
    (ISSTA 2023), Pages 753–765, July 2023. [paper]
  • AdvDoor: Adversarial Backdoor Attack of Deep Learning System
    Quan Zhang, Yifeng Ding, Yongqiang Tian, Jianmin Guo, Min Yuan, Yu Jiang
    30th ACM International Symposium on Software Testing and Analysis
    (ISSTA 2021), Pages 127–138, July 2021. [paper]

Academic Service



  • Email: yifeng6@illinois.edu
  • Address: 2107 Thomas M. Siebel Center for Computer Science