Yuhui Zhang

Department of Computer Science
Stanford University
Email: yuhuiz@stanford.edu

Hi! I am a graduate student at Stanford University.

Before that, I obtained a bachelor's degree with honours from the Department of Computer Science and Technology at Tsinghua University, and was a research assistant in the THUNLP Group. I was also very fortunate to closely collaborate with Prof. James Zou on BioNLP in 2018.

My research interests are natural language processing, machine learning, and its applications in multiple disciplines. I do believe these fields make invaluable contributions to the real world.



Stanford University

Department of Computer Science

Master of Science, Sep. 2019 - Jun. 2021 (Expected)

Visiting Researcher, Jun. 2018 - Sep. 2018

Tsinghua University

Department of Computer Science and Technology

Bachelor of Engineering, Aug. 2015 - Jul. 2019

Minor in Economics, Aug. 2016 - Jul. 2019

GPA: 3.86/4.00, Ranking 4/154

National Tsing Hua University

Department of Computer Science

Exchange Student, Jul. 2017 - Aug. 2017

Grades: 100/100



Clinical NLP: Improving Automated Disease Coding Via Language Modeling

Manual coding is time-consuming and expensive. We develop large-scale algorithm to automatically predict standard disease codes from free text. We train our algorithm on a new specially curated dataset of over 100K expert labeled veterinary notes and over one million unlabeled notes. Our algorithm is based on an adapted Transformer architecture, and we demonstrate that large-scale language modeling on the unlabeled notes via pretraining and auxiliary objective greatly improves performance.

Text KBQA: Utilizing free text to improve KBQA

Question answering has been a long-standing problem in natural language processing. Structured knowledge base and unstructured free text are two primary resources for answering questions. However, limited works have explored combining these two approaches. We adopt text-based relation extraction methods using natural language support sentences generated from Wikipedia to improve the performance of KBQA system.

Hall of Fame: Inferring Political Attitudes Using Weibo Data

The micro-blogging service Weibo has become one of the most important communication areas in China, and a large amount of information is publicly available: the content of their messages and who they decide to follow. We train our model in a semi-supervised fashion based on the expert-annotated labels and follow matrix. We explore the application of recommendation algorithms like Bayesian Personalized Ranking and matrix factorization in social network analysis.


  • 2019    Best Oral Presentation Award (Presented VetTag at 36th Tsinghua CS Forum for Graduate Students) [slides]
  • 2019    Research Career Award (Awarded from Tsinghua CS)
  • 2018    National Scholarship (Top 0.2% in China, Highest Honor for Undergraduate)
  • 2018    SenseTime Scholarship for Outstanding AI Research (Top 30 in China)
  • 2018    Qualcomm Scholarship for Excellent Research (Top 33/3300 in Tsinghua)
  • 2018    Tsinghua Research Fellowship for Outstanding Students (Top 50/3300 in Tsinghua)
  • 2018    Outstanding Comprehensive Performance Scholarship (Top 8/153 in Dept. of CS)
  • 2018    Excellent Social Practice Scholarship (Top 1/153 in Dept. of CS)
  • 2017    China Scholarship Council Excellent Undergraduate Fellowship (Top 4500 in China)
  • 2017    Outstanding Comprehensive Performance Scholarship (Top 8/153 in Dept. of CS)
  • 2016    Excellent Academic Performance Scholarship (Top 15/153 in Dept. of CS)
  • 2016    Excellent Social Practice Scholarship (Top 2/153 in Dept. of CS)
  • 2015    Freshman Scholarship (Top 150/3300 in Tsinghua)
  • 2014    National Chemistry Olympiad Finals 1st Prize (Top 0.1% in China)


I enjoy reading a wide range of books. My favorite books: To Live (Hua Yu), Walden (Henry David Thoreau), Principles of Economics (N. Gregory Mankiw). I enjoy running and swimming after hard work. I love classical music, and I learned to play the guitar, piano, and pipa at Tsinghua University.

Last Update: Sep 25, 2019