Name: Haiye Huo

Title: Associate Professor

Research Fields: Applied and computational harmonic Analysis, including phase retrieval, compressed sensing, sampling theory, graph signal processing, etc.

Education:

(1) 2013.09-2016.06, Nankai University, Probability and Statistics, Ph.D

(2) 2010.09-2013.06, Nankai University, Probability and Statistics, Master

(3) 2006.08-2010.07, Xidian University, Mathematics and Applied Mathematics, Bachlor

Work Experience:

(1) 2021.12-Present, Nanchang University, School of Mathematics and Computer Science, Associate Professor

(2) 2017.04-2021.12, Nanchang University, School of Science, Lecturer

Academic Affiliations:

Reviewer for《Mathematical Reviews》

Honors and Awards:

(1) 2025, Second Prize in the Young Faculty Teaching Competition of Nanchang University.

(2) 2025, Advanced Individual in the Undergraduate Education Teaching Audit and Evaluation Work of Nanchang University.

(3) 2022, Second Prize in the Science Group of the 5th Jiangxi Province Young Faculty Teaching Competition.

(4) 2021-2023, Awarded the title of “Outstanding Undergraduate Class Mentor” by Nanchang University for three consecutive years.

(5) 2021, Received the “Top Ten in Service and Education” award from the School of Science, Nanchang University.

Major Achievements:

1. Principal Investigator for Research Projects:

(1) National Natural Science Foundation, 12261059, Research on Sparse Phase Retrieval and Dynamic Sampling in the Linear Canonical Transform Domain, 2023.01--2026.12, Ongoing, PI.

(2) National Natural Science Foundation, 11801256, Research on Phase Retrieval for Short-Time Linear Canonical Transform, 2019.01--2021.12, Completed, PI.

(3) Jiangxi Provincial Natural Science Foundation, 20224BAB211001, Phase Retrieval for Sparse Signals with Special Structures, 2023.01--2025.12, Completed, PI.

2. Representative Publications:

[1] Jing Liu, Haiye Huo. Uniqueness of phase retrieval from offset linear canonical transform. Mathematical Methods in the Applied Sciences, 2026, Early Access.

[2] Li Xiao, Haiye Huo, Xiang-Gen Xia. Robust multidimensional Chinese remainder theorem for integer vector reconstruction. IEEE Transactions on Signal Processing, 2024, 72: 2364-2376.

[3] Haiye Huo. Stable recovery of weighted sparse signals from phaseless measurements via weighted l1 minimization. Mathematical Methods in the Applied Sciences, 2022, 45(9): 4929-4937.

[4] Li Xiao, Xiang-Gen Xia, Haiye Huo. Towards robustness in residue number systems. IEEE Transactions on Signal Processing, 2017, 65(6): 1497-1510.

[5] Haiye Huo, Wenchang Sun. Sampling theorems and error estimates for random signals in the linear canonical transform domain. Signal Processing, 2015, 111: 31-38.

3. Principal Investigator for Teaching Reform Projects:

(1) Nanchang University Degree and Graduate Education Teaching Reform Research Project, Practice and Exploration on Cultivating Innovation Ability of Mathematics Graduate Students under the Transformation of ChatGPT, NCUJSJG-2024-038, 2024.06-2026.06, Ongoing, PI.

(2) Nanchang University Education and Teaching Reform Research Project, "Exploration and Practice of “Ideological and Political Education + OBE” Concept-Based Linear Algebra Teaching Model, NCUJGLX-2022-160-88, 2022.06-2024.06, Completed, PI.

(3) Jiangxi Provincial Higher Education Teaching Reform Research Project (Provincial Level), Research on Teaching Methods of Probability and Mathematical Statistics under the Background of New Engineering Disciplines, JXJG-19-1-32, 2019.12-2021.12, Completed, PI.

Email: hyhuo@ncu.edu.cn