fau logo fau logo2

Dr. Yang Li @ FAU

About Me

I am an associate professor of statistics in the Department of Mathematics and Statistics at Florida Atlantic University. Previously, I held positions at the University of Minnesota Duluth. I graduated from University of Science and Technology of China with a B.Sc. in physics. My PhD in physics was from University of Minnesota Twin Cities, and the other PhD in statistics was from Iowa State University. My research interests include spatial statistics, spatio-temporal processes, network analysis, machine learning, and statistical computing.

Employment

Education

Research

Research Interests

Publications

My Google Scholar page

  1. A. Emamverdian, A. Ghorbani, N. Pehlivan, Y. Li, M. Zargar. G. Liu, Bamboo biochar helps minimize Brassica phytotoxicity driven by toxic metals in naturally polluted soils of four mine zones, Environmental Technology & Innovation, 36, 103753 (2024).
  2. Y. Li, C. Yang, A. Young, and B. Zhuang, Reducing medical costs of health insurance: The COVID-19 stress testing and portfolio effects, North American Actuarial Journal 1, (2024).
  3. A. Emamverdian, A. Khalofah, N. Pehlivan, Y. Li, M. Chen, and G. Liu, Iron nanoparticles in combination with other conventional Fe sources remediate mercury toxicity-affected plants and soils by nutrient accumulation in bamboo species, Ecotoxicology and Environmental Safety, 278, 116431 (2024).
  4. A. Emamverdian, A. Khalofah, N. Pehlivan, M. Zia-ur-Rehman, Y. Li, and M. Zargar, Exogenous application of jasmonates and brassinosteroids alleviates lead toxicity in bamboo by altering biochemical and physiological attributes, Environmental Science and Pollution Research, 31, 7008 (2023).
  5. A. Emamverdian, A. Ghorbani, N. Pehlivan, G. Liu, Y. Li, J. Barker, M. Zargar, and M. Chen, Co-Application of Melatonin and zeolite boost bamboo tolerance under Cadmium by enhancing antioxidant capacity, osmolyte accumulation, plant nutrient availability, and decreasing Cadmium absorption, Scientia Horticulturae, 322, 112433 (2023).
  6. A. Emamverdian, A. Ghorbani, Y. Li, N.Pehlivan, J. Barker, Y. Ding, G. Liu, and M. Zargar, Responsible mechanisms for restriction of heavy metals' toxicity in plants' by Co-foliar spraying of nanoparticles, Agronomy, 13, 1748 (2023).
  7. A. Emamverdian, Y. Ding, M. Hasanuzzaman, J. Barker, G. Liu, Y. Li, and F. Mokhberdoran, Insight into the biochemical and physiological mechanisms of nanoparticles-induced arsenic tolerance in bamboo, Frontiers in Plant Science, 14, 1121886 (2023).
  8. A. Emamverdian, Y. Ding, J. Barker, G. Liu, Y. Li, and F. Mokhberdoran, Sodium nitroprusside improves bamboo resistance under Mn and Cr toxicity with stimulation of antioxidants activity, relative water content, and metal translocation and accumulation, International Journal of Molecular Sciences 24, 1942 (2023).
  9. H. Papei and Y. Li, Stochastic local community detection in networks, Algorithms, 16, 22 (2023).
  10. A. Emamverdian, Y. Ding, M. Alyemeni, J. Barker, G. Liu, Y. Li, F. Mokhberdoran, and P. Ahmad, Benzylaminopurine and abscisic acid mitigate cadmium and copper toxicity by boosting plant growth, antioxidant capacity, reducing metal accumulation and translocation in bamboo [Pleioblastus pygmaeus (Miq.)] plants, Antioxidants 11, 2328 (2022).
  11. A. Emamverdian, Y. Ding, J. Barker, G. Liu, Y. Li, F. Mokhberdoran, and M. Ramakrishnan, Co-application of 24-epibrassinolide and titanium oxide nanoparticles promotes bamboo plant tolerance to Cu and Cd toxicity by increasing antioxidant activity, photosynthetic capacity and reducing heavy metal accumulation and translocation, Antioxidants 11, 451 (2022).
  12. A. Emamverdian, Y. Ding, J. Barker, F. Mokhberdoran, M. Ramakrishnan, G. Liu, and Y. Li, Nitric oxide ameliorates plant metal toxicity by increasing antioxidant capacity and reducing Pb and Cd translocation, Antioxidants 10, 1981 (2021).
  13. P.-J. Shi, K. Yu, K. J. Niklas, J. Schrader, Y. Song, R. Zhu, Y. Li, H. Wei, and D. A. Ratkowsky, A general model for describing the ovate leaf shape, Symmetry 13, 1524 (2021).
  14. L. Ding, Y. Li, H. Wang, and K. Xu, Measurement and analysis of cloud user interest: a glance from BitTorrent, IEEE INFOCOM 2020, (2020).
  15. E. R. Keyel, G. J. Niemi, M. A. Etterson, D. C. Evers, C. DeSorbo, J. C. Hoffman, J. W. Nichols, Y. Li, and F. Nicoletti, Feather mercury increases with feeding at higher trophic levels in two species of migrant raptors, Merlin (Falco columbarius) and Sharp-shinned Hawk (Accipiter striatus), The Condor: Ornithological Applications 122, duz069 (2020).
  16. Y. Li and Z. Zhu, Spatio-temporal modeling of global ozone data using convolution, Japanese Journal of Statistics and Data Science 3, 153 (2020).
  17. Y. Li and Y. Qi, Asymptotic distribution of modularity in networks, Metrika 83, 467 (2020).
  18. P.-J. Shi, M. Li, Y. Li, J. Liu, H. Shi, T. Xie, and C. Yue, Taylor's power law in the Wenchuan earthquake sequence with fluctuation scaling, Natural Hazards and Earth System Sciences 19, 1119 (2019).
  19. P.-J. Shi, D. A. Ratkowsky, Y. Li, L. Zhang, S. Lin, and J. Gielis, A general leaf area geometric formula exists for plants - Evidence from the simplified Gielis equation, Forests 9, 714 (2018).
  20. P.-J. Shi, X. Zheng, D. A. Ratkowsky, Y. Li, P. Wang, and L. Cheng, A simple method of measuring the bilateral symmetry of leaves, Symmetry 10, 118 (2018).
  21. P.-J. Shi, D. A. Ratkowsky, N. Wang, Y. Li, L. Zhao, G. Reddy, and B.-L. Li, Comparison of five methods for parameter estimation under Taylor's power law, Ecological Complexity 32, 121 (2017).
  22. W. A. Fuller, J. C. Legg, and Y. Li, Replication variance estimation for rejective sampling, Journal of the American Statistical Association 112, 1562 (2017).
  23. E. Heald, T. R. Hrabik, Y. Li, Z. J. Lawson, S. R. Carpenter, and M. J. Vander Zanden, The effects of experimental whole-lake mixing on horizontal spatial patterns of fish and Zooplankton, Aquatic Sciences 79, 543 (2017).
  24. J. I. Kapusta, G. Chen, R. J. Fries, and Y. Li, Early time dynamics of gluon fields in high energy nuclear collisions, Nuclear Physics A 956, 553 (2016).
  25. Y. Li and Z. Zhu, Modeling nonstationary covariance function with convolution on sphere, Computational Statistics and Data Analysis 104, 233 (2016).
  26. G. Chen, R. J. Fries, J. I. Kapusta, and Y. Li, Early-time dynamics of gluon fields in high energy nuclear collisions, Physical Review C 92, 064912 (2015).
  27. J. Du, C. Ma, and Y. Li, Isotropic variogram matrix functions on spheres, Mathematical Geosciences 45, 341 (2013).
  28. Y. Li and K. Tuchin, Probing the low-x structure of nuclear matter with diffractive hadron production in pA collisions, Physical Review C 78, 024905 (2008).
  29. Y. Li, Baryon enhancement in high-density QCD and relativistic heavy ion collisions, Journal of Physics G 35, 104051 (2008).
  30. Y. Li and K. Tuchin, Spectrum of diffractively produced gluons in onium-nucleus collisions, Nuclear Physics A 807, 190 (2008).
  31. Y. Li and K. Tuchin, Gluon multiplicity in coherent diffraction of onium on a heavy nucleus, Physical Review D 77, 114012 (2008).
  32. Y. Li and K. Tuchin, Gluon recombination in high parton density QCD: inclusive pion production, Physical Review D 75, 074022 (2007).
  33. R. J. Fries, J. I. Kapusta, and Y. Li, From color fields to quark gluon plasma, Nuclear Physics A 774, 861 (2006).
  34. J. I. Kapusta and Y. Li, Rescattering effects on intensity interferometry, Physical Review C 72, 064902 (2005).
  35. Y. Li and J. I. Kapusta, Nonrelativistic rescattering effects on two-particle correlation, Journal of Physics G 31, S331 (2005).
  36. J. I. Kapusta and Y. Li, HBT interferometry with rescattering in the medium, Acta Physica Hungarica A 24, 125 (2005).
  37. J. I. Kapusta and Y. Li, Rescattering effects on HBT interferometry, Journal of Physics G 30, S1069 (2004).

Selected Presentations

  1. International School and Conference on Network Science, NetSci-X 2023, Buenos Aires, Argentina, "Centrality-Based Ranking of Paired Comparison", February 8, 2023.
  2. IEEE INFOCOM 2020, "Measurement and Analysis of Cloud User Interest: a Glance from BitTorrent", July 7, 2020.
  3. NetSci 2019, Burlington, VT, "Asymptotic Distribution of Modularity in Networks", May 29, 2019.
  4. The 6th International Conference on Complex Networks and Their Applications, Lyon, France, "Stochastic Local Community Detection in Networks", November 30, 2017.
  5. Spatial Statistics 2017, Lancaster University, Lancaster, United Kingdom, "Spatio-Temporal Modeling on Spheres", July 6, 2017.
  6. Department of Statistics, University of Missouri-Columbia, Columbia, MO, "Use Convolution to Model Nonstationary Spatial Random Field on Sphere", March 9, 2016.
  7. 2015 IMS-China International Conference on Statistics and Probability, Yunnan University, Kunming, Yunnan, China, "Semiparametric Estimation of Spectral Density and Variogram with Irregular Observations", July 2, 2015.
  8. International Conference on Advances in Interdisciplinary Statistics and Combinatorics (AISC 2014), University of North Carolina Greensboro, Greensboro, NC, "Modeling Nonstationary Covariance Function on Spheres with Convolution", October 10, 2014.
  9. School of Management, China University of Mining and Technology, Xuzhou, Jiangsu, China, "Spatial Statistics and Its Applications", May 28, 2014.
  10. The 6th International Statistics Forum at Renmin University of China, Beijing, China, "Modeling Nonstationary Covariance Function on Spheres with Convolution", May 25, 2014.
  11. Next Generation Climate Data Products Workshop, the National Center for Atmospheric Research, Boulder, CO, "Modeling Nonstationary Covariance Function on Spheres with Convolution", July 16, 2013.
  12. AT&T Research Lab, Florham Park, NJ, "Spatial Anomalous Events from MTS and Correlation with Cellular Network Data", July 13, 2012.
  13. JSM 2011, Miami Beach, FL, "Calibration of Soil Erosion Estimates under New Protocols", August 3, 2011.
  14. The 20th International Conference on Ultra-Relativistic Nucleus-Nucleus Collisions (Quark Matter 2008), Jaipur, India, "Baryon Enhancement from Quasi-Classical Fields in Nuclear Collisions", February 5, 2008.
  15. APS DNP meeting 2007, Newport News, VA, "Gluon Recombination at High Parton Density", October 11, 2007.
  16. Physics Department and RIKEN, Brookhaven National Laboratory, Upton, NY, "Near-Field Properties in Relativistic Heavy Ion Collisions", January 16, 2007.
  17. APS April meeting 2006, Dallas, TX, "Near-Field Properties in Relativistic Heavy Ion Collisions", April 23, 2006.
  18. Department of Physics and Astronomy, Iowa State University, Ames, IA, "Rescattering Effects on HBT Interferometry", February 17, 2006.
  19. Hot Quarks 2004, Workshop for young scientists on the physics of ultrarelativistic nucleus-nucleus collisions, Taos Valley, NM, "Rescattering Effects on HBT Interferometry", July 22, 2004.

Teaching

In Fall 2024, I will be teaching STA 6207: Applied Statistical Methods and STA 4032: Probability and Statistics for Engineers.

Courses

University of Minnesota Duluth

Florida Atlantic University

Advising

Postdoc (FAU)

  1. Qiaoyin Pan (co-advise with M. Han, starting in August 2023)

PhD in Mathematics (FAU)

  1. Deepak Bastola (current)

MS in Data Science (FAU)

  1. Austin Lazar, Spatial analysis of North Atlantic storm trajectories (July 2023)

MS in Applied and Computational Mathematics (UMD)

  1. Levi D. Pederson, Mixed model analysis for repeated measures of lettuce growth (May 2015)
  2. Xinyue Chang, Test of complete spatial randomness on networks (May 2016)
  3. Melissa Sandahl, Statistical analysis of Google flu trends (co-advise with K. L. James, July 2016)
  4. Mudit Jain, A new approach to lattice quantum field theories (co-advise with V. Vanchurin, June 2017)
  5. Yang Wang, Multivariate zero-inflated Poisson regression (June 2017)
  6. Lei Ding, Measurement and analysis of cloud user interest: a glance from BitTorrent (co-advise with H. Wang, August 2017)
  7. Hadi Papei, Local community detection in networks (August 2017)
  8. Zhenduo Wang, Text embedding methods on different levels for Tweets authorship attribution (co-advise with T. Pedersen, May 2018)
  9. Jingxia Liu, Ranking players statistically on a network (June 2018)
  10. McCoy Becker, Determining critical temperature in phase transition using statistical learning (July 2018)
  11. Richa Rawat, Finding the degree distribution of networks with addition and deletion of nodes (May 2019)
  12. Tianyi Zhang, Bandwidth selection in nonparametric density estimation on spheres (June 2020)
  13. Jieming Liu, Estimating unobservable data using hidden Markov modeling (December 2020)
  14. Bahoua Carmel Mobio, Amazon stock prediction using machine learning: a comparative analysis (December 2020)

Undergraduate Research Opportunites Program (UMD)

  1. Lusha Li, Prospects of peer-to-peer lending of different types in China (Spring 2016)
  2. Xin Zhi, Stock price forecasting using logistic regression (Fall 2016)
  3. Weizhi Jing, Spatio-temporal modeling of spherical ozone data (Spring 2019)
  4. Jingyi Yang, Modeling the distribution of the patients' stay at PACU (Spring 2020)

Contact

Office

SE43, Room 266

Email

yangli AT fau DOT edu

Web

http://yangli.us