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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. 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. I describe myself as an applied ML generalist, and my work draws from techniques across the machine learning literature to solve problems from different domains.

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

Students

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

Awards

2025 | ICCV 2025 Oral Presentation
Top 2.4% of accepted papers (0.57% overall)
2025 | CVPR 2025 Outstanding Reviewer
Awarded to 5.6% of CVPR 2025 Reviewers
2024-2025 Academic Year | Prabhu and Poonam Goel Graduate Fellowship
Awarded to one student in the ECE department each academic year.
2024 | CVPR 2024 Oral Presentation
Top 3.3% of accepted papers (0.78% overall)
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. This award is typically given to no more than one student each semester.
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.

Teaching

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