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 application. I am currently actively working on structure inference on random graphs with latent geometrical structures.

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

Education

• Ph.D student in Machine Learning, Georgia Institute of Technology, 2021-now.
• 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; Submitted.
• Impossibility of latent inner product recovery via rate distortion; Cheng Mao, Shenduo Zhang.

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.