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PhD Student
Electrical and Computer Engineering
Mathematical Institute for Data Science
Johns Hopkins University


322 Clark Hall
Baltimore MD 21218, USA


Phone: +1 (667) 910 4063
Email: lpeng25 at

About Me (CV)

Since 2021 I have been a PhD student at the Johns Hopkins University, supervised by Professor René Vidal. I was a master student at ShanghaiTech, advised by Professor Manolis. I did my undergraduate at Zhejiang University.

I seek mathematical or algorithmic answers to the questions that arise in machine learning, computer vision, signal processing. The problems of interest to me include (but are not limited to)

1. homomorphic sensing (1 2 3)
2. linear regression without correspondences (1 2)
3. geometric vision
4. matrix completion (1)
5. robust (unlabeled) PCA (1)

I am using tools from algebraic geometry, optimization, and probability to study geometric computer vision problems.


[September 28, 2021]
Unlabeled Principal Component Analysis accepted to NeurIPS 2021.
[July 21, 2021]
Homomorphic Sensing of Subspace Arrangements accpeted to 「Appl Comput Harmon Anal
[May 10, 2021]
I defended my master thesis (slide).
[May 8, 2021]
One paper about sparse homomorphic sensing has been accepted to ICML 2021.
[May 1, 2021]
One paper about unsigned matrix completion has been accepted to ISIT 2021.
[March 13, 2021]
I accepted the PhD offer from Johns Hopkins (Advisor: Prof René Vidal). See you soon at Baltimore.
[January 26, 2021]
Check our new manuscript about unlabeled principal component analysis (arXiv).
[December 27, 2020]
Have a look at the new version of our homomorphic sensing paper on arXiv.
[September 2018 –> Now]
I am doing research under the supervision of Professor Manolis C. Tsakiris.
[Spring 2018]
served as a teaching assistant for the course Advanced Geometry (lecture notes).