University of Missouri, Department of Mathematics, Assistant Professor

Email: hhuang at missouri dot edu

I am an Assistant Professor at University of Missouri.

Previously, I was a postdoc at MIT from 2022 to 2023 (mentored by Elchanan Mossel) and a postdoc at Georgia Tech from 2019 to 2022 (mentored by  Konstantin Tikhomirov and Galyna Livshyts). Before that, I completed my Math Ph.D. from University of Michigan under the supervision of my advisor Mark Rudelson.

My research interest is in high dimensional probability and convex geometry. I am interested in problems in random matrices, random graphs, and discrete inference problems.

CV (Sep 23)

Publications & Preprints

  1. H. Huang, P. Jiradilok, and E. Mossel, Reconstructing Riemannian Metrics From Random Geometric Graphs, submitted. (2025)
  2. H. Huang and E. Mossel, Optimal Low degree hardness for Broadcasting on Trees, submitted. (The conference version is accepted by 38th Annual Conference on Learning Theory COLT 2025)
  3. H. Huang and E. Mossel, Low Degree Hardness for Boardcasting on Trees (The conference version is accepted by NeurIPS 2024)
  4. H. Huang, P. Jiradilok, and E. Mossel, Reconstructing the geometry of Random Geometric Graph, submitted. (The conference version is accepted by 37th Annual Conference on Learning Theory COLT 2024)
  5. H. Huang and K. Tikhomirov, Average-case Analysis of the Gaussian Elimination with Partial Pivoting, Probability Theory and Related Fields, (2024).
  6. H. Huang and K. Tikhomirov, Shotgun Assembly of unlabeled Erdos-Renyi graphs, Probability Theory and Related Fields, (2025).
  7. H. Huang and K. Tikhomirov, On Dimension-dependent concentration for convex Lipschitz continuous functions in product spaces, Electronic Journal of Probability, (2023)
  8. H. Huang. Rank of Sparse Bernoulli Matrices, the Special Issue on Geometrics Functional Analysis and Related Topics dedicated to the memory of Professor Nicole Tomczak-Jaegermann, to appear.
  9. J. Hao, H. Huang, G. Livshyts, and K. Tikhomirov, Distribution of the minimal distance of random linear codes, IEEE Transactions on Information Theory, (2022). (The conference version is published on 2020 IEEE International Symposium on Information Theory (ISIT). )
  10. H. Huang and K. Tikhomirov, A remark on the smallest singular value of powers of Gaussian matrices, Electronic Communications in Probability, (2020)
  11. O. Giladi, H. Huang, C. Schütt, and E.M. Werner, Constrained convex bodies with extremal affine surface areas, Journal of Functional Analysis, (2020)
  12. H. Huang, and M. Rudelson, Size of nodal domains of the eigenvectors of a G (n, p) graph, Random Structures & Algorithms, (2020)
  13. H. Huang, B. A. Slomka, T. Tkocz, and B.-H. Vritsiou. Improved bounds for Hadwiger’s covering problem via thin-shell estimates, Journal of the European Mathematical Society, (2022)
  14. H. Huang, B. A. Slomka, and E. M. Werner, Ulam floating bodies, Journal of the London Mathematical Society, (2019)
  15. H. Huang and B. A. Slomka, Approximations of convex bodies by measure-generated sets, Geometriae Dedicata, (2019)
  16. H. Huang, John’s position is not good for approximation, Israel Journal of Mathematics, (2019)
  17. H. Huang, John Ellipsoid and the Center of Mass. Discrete and Computational Geometry, (2018)
  18. H. Huang and F. Wei, Upper Bound for the Dvoretzky Dimension in the Milman-Schechtman Theorem, Geometric Aspects of Functional Analysis: Israel Seminar, 2014–2016. (2017)