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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, and achieved All But Dissertation status in August 2025. Previously, I obtained my B.S. in Electrical Engineering at the University of Texas at Austin in May 2021, where I worked on Learning to Optimize with Atlas Wang.

My research interest lies broadly in learning for cyber-physical systems — applying machine learning to systems in ways that leverage both data-driven learning techniques and a low-level understanding of system properties — and taking a systems approach to machine learning. While my current work focuses on radar perception, I consider myself to be an applied ML generalist, with my prior work drawing from techniques across statistics and machine learning literature to tackle problems from several different domains.

Please contact me at tianshu2@andrew.cmu.edu. In addition to my research and open-source portfolio, you can find my Google Scholar page here and my GitHub page here; I also have a photography page.

Students

Spring 2024 — Present Zhaowei Zhang (Undergraduate)
In progress: Compression for Radar Spectrum
Spring 2023 — Summer 2024Quentin Oschatz (Masters)
⟶ PhD (Carnegie Mellon University, Electrical and Computer Engineering)
Summer 2022 — Summer 2023Hanke Chen (Undergraduate)
⟶ Startup (Neural Radiance Fields / 3D synthesis)

Awards

ICCV 2025 Oral Presentation
Top 2.4% of accepted papers (0.57% overall)
CVPR 2025 Outstanding Reviewer
Awarded to 5.6% of CVPR 2025 Reviewers
Fellowship Prabhu and Poonam Goel Graduate Fellowship•2024-2025 Academic Year
Awarded to one student in the ECE department each academic year.
CVPR 2024 Oral Presentation
Top 3.3% of accepted papers (0.78% overall)
Qualifying Exam ECE Department Award for Exemplary Qualifying Exam Performance•Spring 2023
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.
This award is typically given to no more than one student each semester.
Fellowship ARCS Pittsburgh Chapter Scholar•Fall 2021 - Spring 2024
$15,000 award (over 3 years) for one student nominated by each participating department.
Fellowship Virginia & Ernest Cockrell, Jr. Scholarship in Engineering•Fall 2017 - Spring 2021
$48,000 award (over 4 years) for undergraduate students admitted to the ECE Honors program.

Teaching

Guest Lecture Machine Learning + Edge•April 2024
CMU 18-649 Distributed Embedded Systems
Teaching Assistant 18-661 Introduction to Machine Learning•Spring 2024
Lecture: SVM I (SVM, Hinge Loss, Max-Margin)
Lecture: SVM II (Duality, Kernel Trick, What Happened to SVMs?)
Guest Lecture Federated Learning•February 2023
Duke ECE/COMPSCI 654 Edge Computing
Guest Lecture Machine Learning + Edge•November 2022
CMU 18-649 Distributed Embedded Systems
Teaching Assistant 18-661 Introduction to Machine Learning•Spring 2022
Lecture: Better and Faster Python
Lecture: Pytorch (and how we got here)
Teaching Assistant EE 351k Probability, Statistics and Random Processes•Fall 2020 - Spring 2021
UT Austin (as undergraduate TA)

Service

  • CVPR 2025 Outstanding Reviewer — Awarded to 5.6% of Reviewers

  • Reviewer — for CVPR 2025, ICML 2022, NeurIPS 2022

  • Faculty Search Student Council Co-Chair — for the CMU ECE department 2024 and 2025 hiring cycles

  • Technical Program Committee Member — for the Cross-Community Federated Learning Workshop @ MLSys 2022

  • Peer Mentor — as part of the CMU ECE Peer Mentor Program, 2023-2024