Jing Yu

I am a PhD candidate in the department of Computing and Mathematical Sciences (CMS) at Caltech , advised by John Doyle and Adam Wierman.

I received a B.S. in Mechanical Engineering from Georgia Tech. I had previously interned at GE Research Center, Bosch Rexroth, and STERIS.



I am broadly interested in the interplay between control and learning theory, with a focus on distributed algorithms for large-scale cyber-physical systems.


Email: first name (at) caltech (dot) edu

[Google Scholar] [Github] [Linkedin]

News

Sep 14, 2022


Aug 03, 2022

Jul 15, 2022


Jul 02, 2022


May 02, 2022

Apr 08, 2022

Oct 18, 2021


I will present a poster on our recent work on online control of unknown adversarial systems at the Data-driven Decision Process (D3P) program at the Simons Institute.

I'm co-organizing a workshop on System Level Synthesis (SLS) for the Conference on Decision and Control (CDC'22).

Our paper On Infinite-horizon System Level Synthesis was accepted to the Conference on Decision and Control (CDC'22).

Our paper on robust online control was selected as the finalist for the Best Paper Award of e-Energy’22. Check out the presentation by Chris Yeh.


Invited talk on online learning techniques for handling system uncertainties for Jason Marden's group at UC San Diego.
I passed my candidacy!

Publications and preprints

  • Robust online voltage control with an unknown grid topology [arXiv]
C. Yeh, J. Yu, Y. Shi, A. Wierman.ACM e-Energy 2022. Best paper award finalist.
  • Online Stabilization of Unknown Networked Systems with Communication Constraints [arXiv]
J. Yu, D. Ho, A. Wierman.In Submission.
  • On Infinite-horizon System Level Synthesis
O. Kjellqvist*, J. Yu*Conference on Decision and Control (CDC) 2022 .
  • Robust Reinforcement Learning: A Constrained Game-theoretic Approach [paper]
J. Yu, C. Gehring, F. Schäfer, A. Anandkumar.Learning for Dynamics and Control Conference (L4DC) 2021.
  • Localized and Distributed H2 State Feedback Control [arXiv]
J. Yu, Y. Wang, J. Anderson.American Control Conference (ACC) 2021.
  • Achieving performance and safety in large scale systems with saturation using a nonlinear system level synthesis approach [arXiv]
J. Yu*, D. Ho*.American Control Conference (ACC) 2020.

* Equal Contribution


Teaching

I was a teaching assistant for the following courses at Caltech:



Outreach and Volunteering

  • (2018-2020) Muir High School, Pasadena, CA: I tutored high school students in Math and Science as part of an outreach initiative of the Caltech Y Rise Program.
  • (2017-2018) I helped run outreach programs for the CMS department at Caltech, including the Pasadena Science and Art Night, Tech Savvy Science Day for Girls at the Pasadena City College, and facilitate talks organized by Caltech Center for Diversity.
  • (2013-2016) Atlanta, Georgia: I was a volunteer Peer-led Undergraduate Study (PLUS) Leader for Physics I,II and Calculus I, II, III, where I worked with faculties to develop innovative and interactive weekly review sessions to help students better understand challenging course materials.
  • (2014-2016) Atlanta, Georgia: I was a volunteer instructor for the Georgia Tech Invention Studio, committing at least 3 hours per week teaching students how to use the fabrication machines for their engineering projects. I also host outreach workshops for local high schools to engage underrepresented groups in STEM.