Hau-Tieng Wu

Hau-Tieng Wu
  • Associate Professor of Mathematics
  • Associate Professor of Statistical Science (Joint)
External address: 207 Physics Building, 120 Science Drive, Durham, NC 27708
Internal office address: Box 90320, Durham, NC 27708
Phone: (919) 660-2861

Research Areas and Keywords

Analysis

harmonic analysis, wavelet analysis, time-frequency analysis

Biological Modeling

physiological time series, multimodal time series

Geometry: Differential & Algebraic

spectral geometry

Probability

empirical process, large deviation theory

Signals, Images & Data

machine learning, unsupervised learning, data analysis

Education & Training
  • Ph.D., Princeton University 2011

  • M.D., National Yang Ming University (Taiwan) 2003

Thakur, G., and H. T. Wu. “Synchrosqueezing-based recovery of instantaneous frequency from nonuniform samples.” Siam Journal on Mathematical Analysis, vol. 43, no. 5, Nov. 2011, pp. 2078–95. Scopus, doi:10.1137/100798818. Full Text

Singer, Amit, and Hau-Tieng Wu. “Orientability and Diffusion Maps.Applied and Computational Harmonic Analysis, vol. 31, no. 1, July 2011, pp. 44–58. Epmc, doi:10.1016/j.acha.2010.10.001. Full Text

Wu, H. T., et al. “One or two frequencies? the synchrosqueezing answers.” Advances in Adaptive Data Analysis, vol. 3, no. 1–2, Apr. 2011, pp. 29–39. Scopus, doi:10.1142/S179353691100074X. Full Text

Daubechies, Ingrid, et al. “Synchrosqueezed wavelet transforms: An empirical mode decomposition-like tool.” Applied and Computational Harmonic Analysis, vol. 30, no. 2, Elsevier BV, Mar. 2011, pp. 243–61. Crossref, doi:10.1016/j.acha.2010.08.002. Full Text

Steinerberger, Stefan, and Hau-tieng Wu. “On Zeroes of Random Polynomials and an Application to Unwinding.” International Mathematics Research Notices, Oxford University Press (OUP). Crossref, doi:10.1093/imrn/rnz096. Full Text Open Access Copy

Shen, Chao, et al. Robust and scalable manifold learning via landmark diffusion for long-term medical signal processing. Cold Spring Harbor Laboratory. Crossref, doi:10.1101/2020.05.31.126649. Full Text

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