Journal Papers

Refereed Conference Papers

Refereed Book Chapters

  • B10. Chuanping Yu and Xiaoming Huo (2019). Optimal projections in the distance-based statistical methods. In Statistical Modeling in Biomedical Research – Contemporary Topics and Voices in the Field. Editors: Yichuan Zhao and Ding-Geng Chen. Publisher: Springer. Series: Emerging Topics in Statistics and Biostatistics.
  • B9. Jianzhou Feng, Xiaoming Huo, Li Song, Xiaokang Yang, and Wenjun Zhang (2017). Image nonnegative factorization: formulation and numerical strategies. In Tsinghua Lectures in Mathematics, Publisher: the Higher Education Press (in China) and International Press (in USA).
  • B8. Deng, Shijie, Min Sim, and Xiaoming Huo (2017). Empirical analysis of market connectedness as a risk factor for explaining expected stock returns. In Portfolio Construction, Measurement, and Efficiency, Series: Springer International Publishing. pp. 275-289.
  • B7. Xiaoming Huo, Cheng Huang, and Xuelei Sherry Ni (2018). Scattered data and aggregated inference. In Handbook of Big Data Analytics, Series: Springer Handbooks of Computational Statistics. Editors: Wolfgang Hardle, Henry Horng-Shing Lu, and Xiaotong Shen. Chapter 4, Springer.
  • B6. Zhouwang Yang, Huizhi Xie, and Xiaoming Huo (2014). Data-driven smoothing can preserve good asymptotic properties. In Perspectives on Big Data Analysis Contemporary Mathematics, vol. 622, American Mathematical Society, Providence, RI, pp. 125-139.
  • B5. Xiaoming Huo (2010). Beamlets. Wiley Interdisciplinary Reviews: Computational Statistics, Vol. 2, No. 1 (Jan./Feb.), Eds. Edward J. Wegman, Yasmin H. Said, and David W. Scott, Wiley & Sons, NJ, pp 116-119.
  • B4. Xiaoming Huo, Xuelei S. Ni, and Andrew K. Smith (2008). A survey of manifold-based learning methods. In Recent Advances in Data Mining of Enterprise Data, T. W. Liao and E. Triantaphyllou (Eds.) World Scientific, Singapore, pp 691-745, January.
  • B3. X. Huo and X. S. Ni (2007). Some recent results in model selection. In Quantitative Medical Data Analysis Using Mathematical Tools and Statistical Techniques, Eds. D. Hong and Y. Shyr. World Scientific Publication, Singapore. Page 25-42.
  • B2. X. Huo (2005). Beamlets and multiscale modeling. Entry for the 2nd Edition of Encyclopedia of Statistical Sciences, Eds. C. B. Read, N. Balakrishnan, and B. Vidakovic, Wiley & Sons, NJ.
  • B1. D. Donoho and X. Huo (2002). Beamlets and multiscale image analysis. In Multiscale and Multiresolution Methods. Eds. T. J. Barth, T. Chan, and R. Haimes, Springer Lecture Notes in Computational Science and Engineering, 20: 149-196.

Edited Volume(s)

  • E1. David Glickenstein, Keaton Hamm, Xiaoming Huo, Yajun Mei, Martin Stoll (2021). Mathematical Fundamentals of Machine Learning. Frontiers in Applied Mathematics and Statistics, section Mathematics of Computation and Data Science, Editorial.