Welcome to my homepage

I’m a Machine Learning PhD student at Georgia Institute of Technology, enrolled in 2021 August under the School of Mathematics. My research interests are in statistics, machine learning theory and mathematics of data science. I am currently actively working on structure inference on random graphs with latent geometrical structures and the trade-off between computational resources and statistical performance.

I am grateful for the opportunity to work with my advisor, Professor Cheng Mao.

Contact

• Email: szhang705 aatt gatech ddoot edu
• Office Hour: Drop-in Tutoring/MathLab

Employments (Yeah, not unemployed anymore)

• Applied Scientist Intern, Amazon, Incoming 2025 Summer
• Teaching Assistant, Georgia Institute of Technology, 2021-now
• Research Assistant, Georgia Institute of Technology, Summer 2022-2024

Education

• Ph.D student in Machine Learning, Georgia Institute of Technology, 2021-now.
• Master in Mathematics along the way, Georgia Institute of Technology. 2021-2024
• B.S. in Statistics, Xi’an Jiaotong University, 2017-2021.

Publication

• Detection-Recovery Gap for Planted Dense Cycles; Cheng Mao, Alexander S. Wein, Shenduo Zhang; COLT 2023.
• Information-Theoretic Thresholds for Planted Dense Cycles; Cheng Mao, Alexander S. Wein, Shenduo Zhang; IEEE Trans on Information Theory.
• Impossibility of latent inner product recovery via rate distortion; Cheng Mao, Shenduo Zhang; Allerton 2024.

Disclaimer

THIS PAGE IS NOT A PUBLICATION OF THE GEORGIA INSTITUTE OF TECHNOLOGY AND THE GEORGIA INSTITUTE OF TECHNOLOGY HAS NOT EDITED OR EXAMINED THE CONTENT. THE AUTHOR(S) OF THE PAGE ARE SOLELY RESPONSIBLE FOR THE CONTENT.