Experience

Teaching

Graduate Teaching Assistant
Jan. 2025 - May 2025, University of Illinois Urbana-Champaign
IS527 Network Analysis (Graduate): An introduction to the theory and applications of social network analysis on the M.S. IS track.
Instructional Aide
Jan. 2023 - May 2023, University of Michigan
EECS475 Introduction to Cryptography (Undergraduate): An introduction to the theoretical cryptography on the B.Sc. CS track. Notes are available.
Instructional Aide
Aug. 2022 - Dec. 2022, University of Michigan
EECS572 Randomness and Computation (Graduate): A course about randomness in modern computations on the M.S. CS theory track. Notes are available.
Teaching Assistant
May 2021 - Aug. 2021, Shanghai Jiao Tong University
VV285 Honor Mathematics III (Undergraduate): A follow-up course of VV186 on the B.Eng. ECE track. We also hold the first JIntegration Bee competition!
Teaching Assistant
Sep. 2020 - Dec. 2020, Shanghai Jiao Tong University
VV186 Honor Mathematics II (Undergraduate): The first rigorous analysis course on the B.Eng. ECE track.

Professional Service

Conference Reviewer
NA, Virtual
IEEE BigData 2023, ICML 2024, ICLR 2025
Program Committee
NA, Virtual
AAAI 2025

Software Development

Backend Developer
Oct. 2020 - June 2021, Virtual
foodall: A food order platform in Taiwan, built with Golang, Gin, and MongoDB, with RESTful API design.

Reading Group

Organizer
June 2024 - Present, University of Illinois Urbana-Champaign
Data Attribution Reading Group: Focus on the recent advances of data attribution methods in the era of Generative AI. Please see the official website.
Organizer
Jan. 2024 - Present, University of Illinois Urbana-Champaign
Statistical Learning Theory: A thorough reading on Roman Vershynin's High-Dimensional Probability, focusing on statistical learning theory. Solution is available.
Presenter
Oct. 2023 - Jul. 2024, Virtual
VIDA Reading Group: A reading group focuses on recent advances in graph machine learning, and also the foundational theory for statistical learning.
Organizer
May 2023 - Dec. 2023, University of Illinois Urbana-Champaign
Sparse Graph Limit Theory: A thorough reading on László Lovász's Large networks and graph limits, focusing on Chapter 18 and onwards.

Research and Industry Experience

Research Intern
May 2024 - Aug. 2024, National Institute of Informatics
Pseudo-Non-Linear Data Augmentation: Develop an interpretable and information-geometric data augmentation algorithm advised by Mahito Sugiyama. Won the Excellent Internship Evaluation.
Undergraduate Researcher
Mar. 2022 - Dec. 2022, University of Michigan
Detection Sets: Design the first almost linear time algorithm on finding minimal balanced cuts advised by Thatchaphol Saranurak.
Undergraduate Researcher
May 2022 - Apr. 2023, University of Michigan
Deep Learning Foundation: Develop various techniques to understand deep neural networks advised by Wei Hu under the SURE Program.