代表作
1. Jinwen Ma, Simplex memory neural networks, Neural Networks, vol.10, no.1, pp: 25-29, 1997.
2. Jinwen Ma, The stability of the generalized Hopfield networks in randomly asynchronous mode, Neural Networks, vol.10, no.6, pp: 1109-1116, 1997.
3. Jinwen Ma, Lei Xu and Michael I. Jordan, Asymptotic convergence rate of the EM algorithm for Gaussian mixtures, Neural Computation，vol.12, no.12, pp:2881-2907, 2000.
4. Jinwen Ma, A hybrid neural network of addressable and content-addressable memory, International Journal of Neural Systems, vol.13, no.3, pp: 205-213, 2003.
5. Jinwen Ma, Taijun Wang, and Lei Xu, A gradient BYY harmony learning rule on Gaussian mixture with automated model selection, Neurocomputing, vol.56, pp: 481-487, 2004.
6. Jinwen Ma and Lei Xu, Asymptotic convergence properties of the EM algorithm with respect to the overlap in the mixture, Neurocomputing，vol.68, pp: 105-129, 2005.
7. Jinwen Ma and ShuqunFu, On the correct convergence of the EM algorithm for Gaussian mixtures, Pattern Recognition，vol.38, no.12, pp: 2602-2611, 2005.
8. Jinwen Ma and Taijun Wang, A cost function approach to rival penalized Competitive learning (RPCL), IEEE Transactions on Systems, Man and Cybernetics, Part B: Cybernetics, vol.36, no.4, pp: 722-737, 2006.
9. Jinwen Ma and Jianfeng Liu, The BYY annealing learning algorithm for Gaussian mixture with automated model selection, Pattern Recognition, vol.40, pp: 2029-2037, 2007.
10. Jinwen Ma, Jianfeng Liu and Zhijie Ren, Parameter estimation of Poisson mixture with automated model selection through BYY harmony learning, Pattern Recognition, vol.42, pp: 2659-2670, 2009.
