Electrical Engineering · ZJU–UIUC
I’m pursuing my dual Bachelor’s degree in Electrical Engineering from Zhejiang University and the University of Illinois Urbana-Champaign. My research interests are machine learning and power system optimization.
I am the first author of T-SKM-Net, published at AAAI 2026. Our work integrates the Sampling Kaczmarz-Motzkin method into a trainable neural network framework for linear constraint satisfaction, with applications to DC optimal power flow.
Our paper T-SKM-Net, which I first-authored, is published in the AAAI 2026 proceedings.
The preprint of T-SKM-Net is available on arXiv.
Started as a teaching assistant for MATH 241: Calculus III at Zhejiang University.
AAAI 2026Proceedings of the AAAI Conference on Artificial Intelligence, 40(17):14431–14439
A trainable Sampling Kaczmarz-Motzkin layer that enforces linear constraints on neural network outputs, with over 25× speedup over a standard solver on DC optimal power flow.
Zhejiang University & University of Illinois Urbana-Champaign
Sep 2022 – PresentDual Bachelor's degree in Electrical Engineering
Innovative CAD Modeling Technology for Industrial Simulation Software
Summer Research · 工业仿真软件中CAD建模创新技术研究
Third-Class Scholarship
2023–2024Zhejiang University
Third-Class Scholarship
2022–2023Zhejiang University
Teaching Assistant, MATH 241: Calculus III
Sep 2025 – Dec 2025Zhejiang University · Haining, China
Teaching Assistant, MATH 285: Introduction to Differential Equations
Feb 2025 – Jun 2025Zhejiang University · Haining, China