Tianshu Huang

Tianshu Huang

I am a PhD student co-advised by Anthony Rowe and Carlee Joe-Wong at the Department of Electrical and Computer Engineering at Carnegie Mellon University. I'm interested in Learning for Systems: applying machine learning to (cyber-physical) systems in ways that leverage both data-driven learning techniques and a theoretical and intuitive understanding of system properties.

Previously, I obtained my B.S. in Electrical Engineering at the University of Texas at Austin in May 2021. While at UT Austin, I worked on Learning to Optimize research with Atlas Wang.

Please contact me at tianshu2@andrew.cmu.edu. You can find my GitHub page here; I also have a photography site.

Current Research

Publications

Invited Talks

Students

  • Quentin Oschatz (Masters; Spring 2023-) — Machine Learning for Radar
  • Hanke Chen (Undergraduate; Summer 2022 - Summer 2023) — Neural Radiance Fields in Real Time
  • Rahul Jha (Masters; Summer 2022 - Fall 2022) — Silverline Demo
  • Jeremy (Zhanfan) Yu (Masters; Summer 2022) — Silverline File Store
  • Anish Singhani (Undergraduate; Spring 2022) — Lidar-guided depth estimation

Teaching

  • TA: (CMU) 18-661 Introduction to Machine Learning for Engineers, Spring 2024
  • Guest Lecture: (Duke) ECE/COMPSCI 654 Edge Computing, February 2023 (Federated Learning)
  • Guest Lecture: (CMU) 18-649 Distributed Embedded Systems, November 2022 (Machine Learning + Edge)
  • TA: (CMU) 18-661 Introduction to Machine Learning for Engineers, Spring 2022
  • TA: (UT Austin) EE 351k Probability, Statistics and Random Processes, Fall 2020 - Spring 2021

Awards

  • (Spring 2023) ECE Department Recognition Award for Exemplary Qualifying Exam Performance
    Recognized by CMU ECE faculty for exemplary Ph.D. qualifying examination performance. This distinction was awarded by faculty vote to select students within the top 10% of Ph.D. student examinees.
  • (Fall 2021 - Spring 2024) ARCS Pittsburgh Chapter Scholar
    $15,000 award (over 3 years) for one student nominated by each participating department
  • (Fall 2017 - Spring 2021) Virginia & Ernest Cockrell, Jr. Scholarship in Engineering
    $48,000 award (over 4 years) for undergraduate students admitted to the ECE Honors program

Service

  • Co-Chair, Student Council for Faculty Hiring 2024
  • Reviewer, ICML 2022-2023
  • Reviewer, NeurIPS 2022
  • Reviewer, CrossFL @ MLSys