Experience
Teaching
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.
Research Experience
Research Intern
May 2024 - Aug. 2024, National Institute of Informatics
Pseudo-Non-Linear Data Augmentation: Develop a non-linear data augmentation framework with the log-linear model on posets from information geometry 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.
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.
Professional Service
Conference Reviewer
2023 - Present, Virtual
IEEE BigData 2023, ICML 2024, ICLR 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.
Last Updated on Sep 5th 2024