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University of Michigan School of Information

A headshot of Zhuofeng Wu

Zhuofeng Wu


Hello! I am a final-year Ph.D. candidate at the School of Information, University of Michigan, advised by Prof. VG Vinod Vydiswaran. I also worked with Prof. Qiaozhu Mei between 2015-2020, and Prof. Daniel M. Romero between 2018-2020. 

I am actively searching for research positions in industry, as well as postdoctoral and faculty positions in academia. If you are aware of any openings, I would greatly appreciate it if you could let me know. Thank you! 

I primarily working on Natural Language Processing and Machine Learning. My recent research focuses on below topics: 

  1. Self-Supervised Representation Learning (contrastive learning). 
  2. Historical Language Change (such as semantic shift). 
  3. Robustness of ML models (backdoor attack and defense of LLMs). 
  4. Diffusion Models for Non-Autoregressive Generation. 
  5. Knowledge Distillation (from advanced black-box LLM to small models).




Areas of interest

Text Representation Learning, Generative AI

Honors & Awards

EMNLP Student Travel Grant, 2023. 
SIGIR Student Travel Grant, 2018.


Honored bachelor degree in Computer Science from Chu Kochen Honors College, Zhejiang University in 2017

News about Zhuofeng Wu

UMSI Research Roundup. Privacy, Accessibility, Bias. Check out UMSI faculty, staff and PhD student publications.
Privacy, Accessibility and Bias: UMSI Research Roundup

Recent UMSI faculty and PhD student publications.

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ChatGPT, entrepreneurship and ICWSM conference. Check out UMSI faculty and PhD candidate publications.
ChatGPT, Entrepreneurship and ICWSM Conference: UMSI Research Roundup

Recent UMSI faculty and PhD student publications.

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