[47]. S. Feng and W. Sun (2019). A dynamic model for the two-parameter Dirichlet process. Potential Analysis, Vol. 51, No. 2, pp. 147–164. [pdf]

[46]. S. Favaro, S. Feng and P. Jenkins (2019). Bayesian nonparametric analysis of Kingman's coalescent. Annales de l’Institut Henri Poincaré, Vol.55, No. 2, 1087– 1115.[pdf]

[45]. S. Feng (2019). Reversible measure-valued processes associated with the Poisson-Dirichlet distribution (in Chinese). Scientia Sinica Mathematica, 49:377–388.[pdf]

[44]. S. Favaro, S. Feng and F.Q. Gao (2018). Moderate deviations for Ewens-Pitman sampling models. Sankhya A,Volume 80–A, pp. 330–341. [pdf]

[43]. P. Boyle, S. Feng, D. Melkuev, S. Yang, and J. Zhang (2018). Short positions in the first principle component portfolio. North American Actuarial Journal, Vol. 22, No. 2, 223–251.[pdf]

[42]. S. Feng, F.Q. Gao and Y.Z. Zhou (2017). Limit theorems associated with the Pitman-Yor process. Advances in Applied Probability, Vol.49, No.2, 581–602. [note,pdf]

[41]. S. Feng, L. Miclo and F.-Y. Wang (2017). Poincaré inequality for Dirichlet distributions and infinite-dimensional generalizations. ALEA, Lat. Am. J. Probab. Stat., Vol.14, 361–380. [pdf]

[40]. D.A. Dawson and S. Feng (2016). Large deviations for homozygosity. Electronic Communications in Probability, Vol.21, No. 83, 1–8. [pdf]

[39]. S. Feng (2016). Diffusion processes and Ewens sampling formula. Statistical Science, Vol.31, No.1, 20–22.[journal,pdf]

[38]. S. Feng and F.-Y. Wang (2016). Harnack inequality and applications to infinite-dimensional GEM processes. Potential Analysis, 44(1), 137–153.[pdf]

[37]. S. Feng and Y.Z. Zhou (2015). Asymptotic behavior of Poisson-Dirichlet distribution and random energy model. In XI Symposium on Probability and Stochastic Processes, 141–155. Progress in Probability, Vol.69, Birkhäuser.[pdf]

[36]. S. Favaro and S. Feng (2015). Large deviation principles for the Ewens-Pitman sampling model. Electronic Journal of Probability, Vol.20, No. 40, 1–26. [pdf]

[35]. S. Feng and F. Xu (2014). Gamma-Dirichlet algebra and applications. Frontiers of Mathematics in China, 9(4):797–812.[pdf]

[34]. S. Favaro and S. Feng (2014). Asymptotics for the number of blocks in a conditional Ewens-Pitman sampling model. Electronic Journal of Probability, Vol.19, No. 21, 1–15. [pdf]

[33]. S. Feng and J. Xiong (2013). Asymptotic behavior of the Moran particle system. Advances in Applied Probability, 45, 379–397. [pdf]

[32]. S. Feng, W. Sun, F.-Y. Wang and F. Xu (2011). Functional inequalities for the two-parameter extension of the infinitely-many-neutral-alleles diffusion. Journal of Functional Analysis, Vol.260, 399–413. [pdf]

[31]. S. Feng, B. Schmuland, J. Vaillancourt, and X. Zhou (2011). Reversibility of an interacting Fleming-Viot process. Canadian Journal of Mathematics, Vol.63, pp. 104–122. [pdf]

[30]. S. Feng and W. Sun (2010). Some diffusion processes associated with two-parameter Poisson-Dirichlet distribution and Dirichlet process. Probability Theory and Related Fields, Vol.148, No. 3-4, 501–525. [pdf]

[29]. S. Feng and F.Q. Gao (2010). Asymptotic results for the two-parameter Poisson-Dirichlet distribution. Stochastic Processes and their Applications, 120, 1159–1177. [pdf]

[28]. S. Feng (2009). Poisson-Dirichlet distribution with small mutation rate. Stochastic Processes and their Applications, 119, 2082–2094. [pdf]

[27]. S. Feng and F.Q. Gao (2008). Moderate deviations for Poisson-Dirichlet distribution. The Annals of Applied Probability, Vol.18, No.5, 1794–1824. [pdf]

[26]. P. Boyle, S. Feng, W. Tian, and T. Wang (2008). A robust approach of stochastic discount factors in incomplete market. Review of Financial Studies, Vol.21, No.3, 1077–1122. [pdf]

[25]. S. Feng and F.-Y. Wang (2007). A class of infinite-dimensional diffusion processes with connection to population genetics. Journal of Applied Probability, 44, pp. 938–949.[pdf]

[24]. S. Feng (2007). Large deviations for Dirichlet processes and Poisson-Dirichlet distribution with two parameters. Electronic Journal of Probability, Vol.12, pp.787–807. [pdf]

[23]. S. Feng (2007). Large deviations associated with the Poisson-Dirichlet distributon and Ewens sampling formula. The Annals of Applied Probability, Vol.17, No.5/6, 1570–1595. [pdf]

[22]. D.A. Dawson and S. Feng (2006). Asymptotic behaviour of Poisson-Dirichlet distribution for large mutation rate. The Annals of Applied Probability, Vol.16, No.2, 562–582. [pdf]

[21]. S. Feng (2005). Behavior of Poisson-Dirichlet distribution with large mutation rate. Oberwolfach Report, 40, 26–29.

[20]. Z. Dong and S. Feng (2004). Occupation time processes of super-Brownian motion with cut-off branching. Journal of Applied Probability, 41, 984–997. [pdf]

[19]. S. Feng, I. Grigorescu, and J. Quastel (2004). Diffusive scaling limits of mutually interacting particle systems. SIAM Journal on Mathematical Analysis, Vol.35, No.6, pp. 1512–1533.[pdf]

[18]. J. Detemple, S. Feng, and W. Tian (2003). The valuation of American options on the minimum of two dividend-paying assets. The Annals of Applied Probability, Vol.13, No. 3, 953–983. [pdf]

[17]. S. Feng and J. Xiong (2002). Large deviation and Quasi-potential of a Fleming-Viot process. Electronic Communications in Probability, Vol.7, 13–25. [pdf]

[16]. D.A. Dawson and S. Feng (2001). Large deviations for the Fleming-Viot process with neutral mutation and selection, II. Stochastic Processes and their Applications, 92, 131–162. [pdf]

[15]. S. Feng (2000). The behaviour near the boundary of some degenerate diffusions under random perturbation. Canadian Mathematical Society Conference Proceedings, Vol.26, 115–123.

[14]. S. Feng and F.M. Hoppe (1998). Large deviation principles for some random combinatorial structures in population genetics and Brownian motion. The Annals of Applied Probability, Vol.8, No.4, 975–994. [pdf]

[13]. D.A. Dawson and S. Feng (1998). Large deviations for the Fleming-Viot process with neutral mutation and selection. Stochastic Processes and their Applications, 77, 207–232. [pdf]

[12]. S. Feng (1998). Large deviation upper bound and its application to measure valued processes. In Asymptotic Methods in Probability and Statistics (ed. B. Szyszkowicz), pp.441–451, Elsevier Science.

[11]. S. Feng and F.M. Hoppe (1998). Limiting behaviour of some random combinatorial structures in population genetics. C.R. Math. Rep. Acad. Sci. Canada, Vol.20 (3), pp. 65–70.

[10]. S. Feng (1997). Propagation of chaos of multitype mean field interacting particle systems. Journal of Applied Probability, 34, No.2, 346–362. [pdf]

[9]. S. Feng, I. Iscoe, and T. Seppalainen (1997). A microscopic mechanism for the porous medium equation. Stochastic Processes and their Applications, 66:147–182. [pdf]

[8]. S. Feng, I. Iscoe, and T. Seppalainen (1996). A class of stochastic evolutions that scale to the porous medium equation. Journal of Statistical Physics, Vol.85, 513–517.[pdf]

[7]. X. Chen and S. Feng (1996). Critical phenomenon of a two component nonlinear stochastic systems. Statistics & Probability Letters, 30, 147–155.[pdf]

[6]. S. Feng (1995). Phase transitions of some non-linear stochastic models. Journal of Applied Probability, 32, 193–201. [pdf]

[5]. S. Feng (1995). Nonlinear master equation of multitype particle systems. Stochastic Processes and their Applications, 57, 247–271. [pdf]

[4]. S. Feng (1994). Large deviations for Markov processes with mean field interaction and unbounded jumps. Probability Theory and Related Fields, 100, 227–252. [pdf]

[3]. S. Feng (1994). Large deviations for empirical process of mean field interacting system with unbounded jumps. The Annals of Probability, Vol. 22, No.4, 2122–2151.[pdf]

[2]. S. Feng (1993). Large deviation upper bound on metric space and application. C.R. Math. Rep. Acad. Sci. Canada, XV, No 2:67–72.

[1]. S. Feng and X. Zheng (1992). Solutions of a class of nonlinear master equations. Stochastic Processes and their Applications, 43:65–84.[pdf]