Experiences

Research Intern And Project

Pacific Northwest National Laboratory, Richland, WA, May 2018 - Aug 2018
Mentor: Dr. Enoch Yeung
Topic: Convergence of Koopman Learning and Distributed Algorithms.
We use deep neural networks to alternatively learn the function space and linear operator.
Pacific Northwest National Laboratory, Richland, WA, July 2017 - Aug 2017
Mentor: Dr. Enoch Yeung
Topic: Koopman Learning for Control and Model Decomposition.
Accelerated Algorithms For Large Scale Power Network Control, Sep 2018 - Dec 2017
Project funded by a reward from National Renewable Energy Laboratory.
Significantly reduced the communication burden by half;
Running time from 2 hours to 130 seconds; Memory from 1GB to 25MB; Scalable to 1 million network nodes.
US Patent number: US 2021/0013720 A1.
National Training Programs for Undergraduates, Sep 2014 - Mar 2015
Project: Data Analysis and Recommendation for the Online KARAOKE Karaoke named Ihou

Reviewer: ICML(2021), Transactions on Power Systems(TSP)(2021), ICLR(2021，2022), NeurIPS(2020,2021), AAAI(2020,PC memeber), ACC(2019,2020), TAC(2019), CDC(2018,2019,2020,2021), Transactions on Signal Processing(TSP)(2020), International Journal of Intelligent Systems(2020), IEEE SmartGridComm(2020)