Xiaohan Wang

Xiaohan Wang

Ph.D. Student in Computer Science
Vanderbilt University

About

👋 Welcome to My Academic Journey

🎓 I am Xiaohan Wang, a Ph.D. student in Computer Science at Vanderbilt University, where I am advised by Prof. Matthew Berger. My research focuses on visual analysis for neural fields, exploring how machine learning techniques can improve visual data exploration and how visualization can enhance various aspects of machine learning.

🎓 Education

Ph.D. in Computer Science 📍 Vanderbilt University Aug. 2023 - Expected May 2028
B.Eng. in Software Engineering 📍 Nanjing Normal University Sep. 2019 - Jun. 2023

📚 Selected Publications

  • 2025
    Topology Guidance Teaser
    Topology Guidance: Controlling the Outputs of Generative Models via Vector Field Topology
    Xiaohan Wang and Matthew Berger
    arXiv preprint
    preprint ML SciVis GenAI
  • 2025
    EmotionLens Teaser
    EmotionLens: Interactive visual exploration of the circumplex emotion space in literary works via affective word clouds
    Bingyuan Wang, Qing Shi, Xiaohan Wang, et al.
    Visual Informatics
    journal InfoVis NLP HCI
  • 2025
    GitHub Impersonation Teaser
    Who's Pushing the Code? An Exploration of GitHub Impersonation
    Yueke Zhang, Anda Liang, Xiaohan Wang, et al.
    IEEE/ACM International Conference on Software Engineering (ICSE)
    conference SE HCI

🏆 Awards & Honors

🥇 Outstanding Student Scholarship - First Prize (Top 5%) 2020-2022
🏆 Outstanding National Computer Design Competition (Software Development) - First Prize 2021
⭐ Elite Talent Program (Top 30 students across university) Nanjing Normal University, 2020-2022

📄 For more details, please see my CV and publications.