Asymptotic analysis of queueing systems and Markov chains is an interesting research direction. The works by Q.L. Li include: (1) Heavy-tailed asymptotic analysis of Markov chains of GI/G/1 type, (2) light-tailed asymptotic analysis of Markov chains of GI/G/1 type, (3) subexponential tails of the stationary queue length of the M/G/1 retrial queue, and (4) regularly varying tails of the stationary buffer content of the fluid model deriven by the M/G/1 queue. Recently, Q.L. Li is focusing on a tailed equation framework of various queueing systems, which are generalized to set up "Nonlniear Theory of Infinite-Dimensional Markov Processes with Applications to Large-Scale Stochastic Networks".