CV

Education

• Ph.D. in Statistics (Supervisors: Wei Zhong, Xingbai Xu, and Tuo Liu), 2020-2024
  • Gregory and Paula Chow Institute for Studies in Economics, Xiamen University
• M.S. in Quantitative Economics (To Ph.D. in 2020), 2018-2020
  • Wang Yanan Institute for Studies in Economics, Xiamen University
• B.S. in the Base of Financial Mathematics and Financial Engineering (Peng Shige Class), 2014-2018
  • School of Mathematics, Shandong University

Work Experience

• Postdoctoral Researcher, Jul 2024 - Present
  • Department of Statistics and Data Science, Southern University of Science and Technology (SUSTech) & National University of Singapore (NUS)
• Visiting Scholar, May 2023 - Oct 2023
  • Department of Statistics, National University of Singapore (NUS)
• Teaching Assistant in Probability Introduction (Undergraduate), Fall 2022
• Teaching Assistant in Real Analysis (Undergraduate), Spring 2022
• Teaching Assistant in Advanced Probability Theory (Postgraduate), Fall 2021
• Teaching Assistant in Real Analysis (Undergraduate), Spring 2021
• Teaching Assistant in Advanced Econometrics I (Postgraduate), Fall 2019

Research Interests

Statistical machine learning theory, methods, and their applications on uncertainty quantification, spatial statistics, econometrics, and biostatistics.

Working Papers

• Zeng, H., Liu, K., Jing, B., & Wei, H. (2025). “Parametric Scaling Law of Tuning Bias in Conformal Prediction.” arXiv. https://doi.org/10.48550/arXiv.2502.03023
• Gao, H., Zhang, F., Zeng, H., Meng, D., Jing, B., & Wei, H. (2025). “Exploring Imbalanced Annotations for Effective In-Context Learning.” arXiv. https://doi.org/10.48550/arXiv.2502.04037
• Xi, H., Liu, K., Zeng, H., Sun, W., & Wei, H. (2025). “Robust Online Conformal Prediction under Uniform Label Noise.” arXiv. https://doi.org/10.48550/arXiv.2501.18363
• Zeng, H., Zhong, W., & Xu, X. (2024). “Transfer Learning for Spatial Autoregressive Models with Application to U.S. Presidential Election Prediction.” arXiv. https://doi.org/10.48550/arXiv.2405.15600

Publications

Journal Articles

• 2025
  • Liu, K., Sun, T., Zeng, H., Zhang, Y., Pun, C.-M., & Vong, C.-M. (2025). “Spatial-Aware Conformal Prediction for Trustworthy Hyperspectral Image Classification.” IEEE Transactions on Circuits and Systems for Video Technology. https://ieeexplore.ieee.org/abstract/document/10960721/
• 2024
  • Zeng, H., Wan, C., Zhong, W., & Liu, T. (2024). “Robust Integrative Analysis via Quantile Regression with Homogeneity and Sparsity.” Journal of Statistical Planning and Inference, 234 (June): 106196. https://doi.org/10.1016/j.jspi.2024.106196
  • Wan, C., Zeng, H., Zhang, W., Zhong, W., & Zou, C. (2024). “Data‐driven Estimation for Multithreshold Accelerated Failure Time Model.” Scandinavian Journal of Statistics, November, sjos.12758. https://doi.org/10.1111/sjos.12758

Software

• 2023
  • Wan, C., Zeng, H., Zhong, W., & Zou, C. (2023). “MTAFT: Data-Driven Estimation for Multi-Threshold Accelerate Failure Time Model.” https://cran.r-project.org/web/packages/MTAFT/index.html

Skills

• R (Expert)
• Python (Expert)
• Matlab (Intermediate)
• SQL (Intermediate)
• Latex (Intermediate)

Awards

• Meritorious Winner, Interdisciplinary Contest in Modeling, USA, 2016
• 3^rd Price at the Provincial Level, Mathematics Competition for Chinese College Students, 2016
• 2^nd Price at the Provincial Level, China Undergraduate Mathematical Contest in Modeling, 2015
• 1^st Prize for Outstanding Students, Shandong University, 2015
• Three Good Student, Shandong University, 2015