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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. I reached All But Dissertation status in August 2025.

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 applied ML generalist, and my work draws from techniques across statistics and machine learning literature.

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.

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.

Teaching

InstructorFall 2026Machine Learning for Radar
CMU 18-848B (as instructor of record; 12-credit hour special topics course)
Guest LectureRecurringMachine Learning + Edge
CMU 18-349 Introduction to Embedded Systems, April 2026
CMU 18-649 Distributed Embedded Systems, April 2024
CMU 18-649 Distributed Embedded Systems, November 2022
Teaching AssistantSpring 202418-661 Introduction to Machine Learning
Lecture: SVM I (SVM, Hinge Loss, Max-Margin)
Lecture: SVM II (Duality, Kernel Trick, What Happened to SVMs?)
Guest LectureFebruary 2023Federated Learning
Duke ECE/COMPSCI 654 Edge Computing
Teaching AssistantSpring 202218-661 Introduction to Machine Learning
Lecture: Better and Faster Python
Lecture: Pytorch (and how we got here)
Teaching AssistantFall 2020 - Spring 2021EE 351k Probability, Statistics and Random Processes
UT Austin (as undergraduate TA)

Students

Spring 2024 — Summer 2026 Zhaowei Zhang (Undergraduate)
⟶ PhD (University of Wisconsin-Madison, Electrical and Computer Engineering)
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

ICCV2025Oral Presentation
Top 2.4% of accepted papers (0.57% overall)
CVPR2025Outstanding Reviewer
Awarded to 5.6% of CVPR 2025 Reviewers
Fellowship2024-2025Prabhu and Poonam Goel Graduate Fellowship
Awarded to one student in the ECE department each academic year.
CVPR2024Oral Presentation
Top 3.3% of accepted papers (0.78% overall)
Qualifying ExamSpring 2023ECE Department 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.
This award is typically given to no more than one student each semester.
Fellowship2021-2024ARCS Pittsburgh Chapter Scholar
$15,000 award (over 3 years) for one student nominated by each participating department.
Fellowship2017-2021Virginia & Ernest Cockrell, Jr. Scholarship in Engineering
$48,000 award (over 4 years) for undergraduate students admitted to the ECE Honors program.

Service

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

  • Reviewer — for TMRL 2026-, CVPR 2026, 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