Xue-Bin Liang

发表

Absolute exponential stability of neural networks with a general class of activation functions

Jun Wang, Xue-Bin Liang, 2000 .

Orthogonal designs with maximal rates

Xue-Bin Liang, Xue-Bin Liang, 2003, IEEE Trans. Inf. Theory.

A proof of Kaszkurewicz and Bhaya's conjecture on absolute stability of neural networks in two-neuron case

Jun Wang, Xue-Bin Liang, 2000 .

Necessary and Sufficient Condition for Absolute Exponential Stability of a Class of Nonsymmetric Neural Networks

Toru Yamaguchi, Xue-Bin Liang, 1997 .

New sufficient conditions for absolute stability of neural networks

Xue-Bin Liang, Li-De Wu, 1998 .

Global exponential stability of a class of neural circuits

Xue-Bin Liang, Li-De Wu, 1999 .

An additive diagonal-stability condition for absolute exponential stability of a general class of neural networks

Jun Wang, Xue-Bin Liang, 2001 .

A recurrent neural network for optimizing a continuously differentiable objective function with bound constraints

Jun Wang, Xue-Bin Liang, 1999, Proceedings of the 38th IEEE Conference on Decision and Control (Cat. No.99CH36304).

Comments on "New conditions for global stability of neural networks with application to linear and quadratic programming problems"

Xue-Bin Liang, Li-De Wu, 1997 .

A recurrent neural network for nonlinear continuously differentiable optimization over a compact convex subset

Xue-Bin Liang, Xue-Bin Liang, 2001, IEEE Trans. Neural Networks.

On the nonexistence of rate-one generalized complex orthogonal designs

Xiang-Gen Xia, Xue-Bin Liang, X. Xia, 2003, IEEE Trans. Inf. Theory.

Matrix games in the multicast networks: maximum information flows with network switching

Xue-Bin Liang, Xue-Bin Liang, 2006, IEEE Transactions on Information Theory.

A high-rate orthogonal space-time block code

Xue-Bin Liang, Xue-Bin Liang, 2003, IEEE Commun. Lett..

Qualitative analysis of a recurrent neural network for nonlinear continuously differentiable convex minimization over a nonempty closed convex subset

Xue-Bin Liang, Xue-Bin Liang, 2001, IEEE Trans. Neural Networks.

Global exponential stability of neural networks with globally Lipschitz continuous activations and its application to linear variational inequality problem

Xue-Bin Liang, Jennie Si, J. Si, 2001, IEEE Trans. Neural Networks.

An Algebraic, Analytic, and Algorithmic Investigation on the Capacity and Capacity-Achieving Input Probability Distributions of Finite-Input– Finite-Output Discrete Memoryless Channels

Xue-Bin Liang, Xue-Bin Liang, 2008, IEEE Transactions on Information Theory.

Unitary signal constellations for differential space--Time modulation with two transmit antennas: Parametric codes, optimal designs, and bounds

Xiang-Gen Xia, Xue-Bin Liang, X. Xia, 2002, IEEE Trans. Inf. Theory.

A recurrent neural network for nonlinear optimization with a continuously differentiable objective function and bound constraints

Jun Wang, Xue-Bin Liang, Jun Wang, 2000, IEEE Trans. Neural Networks Learn. Syst..

Improved upper bound on step-size parameters of discrete-time recurrent neural networks for linear inequality and equation system

Xue-Bin Liang, Shiu Kit Tso, Xue-Bin Liang, 2002 .

On the analysis of a recurrent neural network for solving nonlinear monotone variational inequality problems

Xue-Bin Liang, 2002, IEEE Trans. Neural Networks.

A complete proof of global exponential convergence of a neural network for quadratic optimization with bound constraints

Xue-Bin Liang, Xue-Bin Liang, 2001, IEEE Trans. Neural Networks.