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Ting Cai

Computer Sciences

University of Wisconsin–Madison

Email: tingcai [at]


Google Scholar

I am a third-year CS Ph.D. student at the University of Wisconsin-Madison. I am advised by Prof. AnHai Doan. My research interests lie in the intersection of machine learning and data science. I am currently working on improving the efficiency of data management using various ML tools, such as active learning and Large Language Models.

Before 2023 Fall, I worked with Prof. Kirthevasan Kandasamy on active learning and multi-armed bandits. I obtained my Bachelor's degree with honors in Data Science and Analytics from National University of Singapore in 2020. In 2020-2021, I took a gap year due to the pandamic and was fortunate to work with Prof. Vincent Y. F. Tan on Nonnegative Matrix Factorization.


  • Transformer-based automated segmentation of recycling materials for semantic understanding in construction
    Xin Wang, Wei Han, Sicheng Mo, Ting Cai, Yijing Gong, Yin Li, Zhenhua Zhu
    Automation in Construction, Vol. 154, Oct 2023
    1st place in VIMS-IAARC Joint Datathon 2022 Competition

  • Active Cost-aware Labeling of Streaming Data
    Ting Cai, Kirthevasan Kandasamy
    Proc. of 26th International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
    [Paper] [Code]

  • Adversarially-Trained Nonnegative Matrix Factorization
    Ting Cai, Vincant Y. F. Tan, Cédric Févotte
    IEEE Signal Processing Letters, Vol. 28, Pages 1415 - 1419, Jun 2021
    [Paper] [Code] [Slides]

Work Experience


  • Conference Reviewer: AISTATS, NeurIPS

  • Journal Reviewer: Artificial Intelligence

  • Volunteer: SIGMOD

Teaching 🎙

  • [TA] CS 536 Introduction to Programming Languages and Compilers: Spring 2024

  • [TA] CS 354 Introduction to Computer Systems: Summer 2022

  • [TA] CS 252 Introduction to Computer Engineering: Fall 2021, Spring 2022, Fall 2022