Globally exponential stability for neural networks with time-varying delays. - Lin Shi 002; Hong Zhu 001; Shouming Zhong; Liyuan Hou 001 (Appl. Math. Comput., 2013)

Less conservative stability criteria for stochastic discrete-time recurrent neural networks with the time-varying delay. - Liyuan Hou 001; Hong Zhu 001; Shouming Zhong; Yuping Zhang; Yong Zeng 003 (Neurocomputing, 2013)

State Estimation for Discrete-Time Stochastic Neural Networks with Mixed Delays. - Liyuan Hou 001; Hong Zhu 001; Shouming Zhong; Yong Zeng 003; Lin Shi 002 (J. Appl. Math., 2014)

Finite-time stochastic boundedness of discrete-time Markovian jump neural networks with boundary transition probabilities and randomly varying nonlinearities. - Liyuan Hou 001; Jun Cheng 004; Hailing Wang (Neurocomputing, 2016)

Improved criteria of delay-dependent stability for discrete-time neural networks with leakage delay. - Yaonan Shan; Shouming Zhong; Jinzhong Cui; Liyuan Hou 001; Yuanyuan Li (Neurocomputing, 2017)