A Novel Approach to Exponential Stability Analysis of Cohen-Grossberg Neural Networks. - Anhua Wan; Weihua Mao; Chun Zhao (ISNN (1), 2004)

New Results for Global Exponential Stability of Delayed Cohen-Grossberg Neural Networks. - Anhua Wan; Hong Qiao; Bo Zhang 006; Weihua Mao (ICIC (1), 2006)

Person-Tracking with Occlusion Using Appearance Filters. - Peng Bai; Hong Qiao; Anhua Wan; Yu Liu (IROS, 2006)

An Improved Gilbert Algorithm with Rapid Convergence. - Liang Chang 001; Hong Qiao; Anhua Wan; John A. Keane (IROS, 2006)

Exponential stability of a class of generalized neural networks with time-varying delays. - Anhua Wan; Jigen Peng; Miansen Wang (Neurocomputing, 2006)

Global Asymptotic Stability of Cohen-Grossberg Neural Networks with Multiple Discrete Delays. - Anhua Wan; Weihua Mao; Hong Qiao; Bo Zhang 006 (ICIC (2), 2007)

Dual Forms of SVM and MEB in Terms of Different Norms of Distance. - Yongqing Wang; Hong Qiao; Anhua Wan; Juntao Li (ICIC (3), 2007)

Criteria for Exponential Stability of Cohen-Grossberg Neural Networks with Multiple Time-Varying Delays. - Anhua Wan; Weihua Mao (ICIC (2), 2008)

Delay-Dependent Robust Exponential Stability for Uncertain Neutral Stochastic Systems with Interval Time-Varying Delay. - Weihua Mao; Feiqi Deng; Anhua Wan (J. Appl. Math., 2012)

A novel result on stability analysis for uncertain neutral stochastic time-varying delay systems. - Feiqi Deng; Weihua Mao; Anhua Wan (Appl. Math. Comput., 2013)

Universal consistency of extreme learning machine for RBFNs case. - Xia Liu; Anhua Wan (Neurocomputing, 2015)

Robust H 2/H ∞ global linearization filter design for nonlinear stochastic time-varying delay systems. - Weihua Mao; Feiqi Deng; Anhua Wan (Sci. China Inf. Sci., 2016)

General RIP bounds of δtk for sparse signals recovery by ℓp minimization. - Buxian Chen; Anhua Wan (Neurocomputing, 2019)

Stable recovery of approximately k-sparse signals in noisy cases via ℓp minimization. - Anhua Wan (Neurocomputing, 2020)

Uniform RIP Conditions for Recovery of Sparse Signals by $ ell _p , (0 Minimization. - Anhua Wan (IEEE Trans. Signal Process., 2020)

Upper Bound of Null Space Constant $ rho(p,t,A,k)$ and High-Order Restricted Isometry Constant $ delta_{tk}$ for Sparse Recovery via $ ell_{p}$ Minimization. - Rongyang Xiao; Yangjie Fu; Anhua Wan (IEEE Trans. Signal Process., 2023)

Stable recovery of approximately block k-sparse signals with partial block support information via weighted $ ell _2/ ell _p , (0<p le 1)$ minimization. - Wenhui Liu; Anhua Wan (Comput. Appl. Math., 2024)

$ ell_{1}- ell_{q}$ ($1) Minimization for One-Bit Compressed Sensing. - Yancheng Lu; Ning Bi; Anhua Wan (IEEE Trans. Signal Process., 2024)

Nonconvex ℓ p-α ℓ q minimization method and p-RIP condition for stable recovery of approximately k-sparse signals. - Feng Gu; Anhua Wan (Comput. Appl. Math., 2024)

Robust recovery of nearly-sparse complex signals from phaseless measurements in the presence of noise. - Shuxian Li; Jiahui Wu; Wenhui Liu; Anhua Wan (Digit. Signal Process., 2025)

Sparse representation for ℓp-αℓq minimization and uniform condition for the recovery of approximately k-sparse signals with prior support information. - Kunsheng Zhan; Anhua Wan (Signal Process., 2025)

$L_{p}/L_{q}$ Minimization Method and Stable Recovery of Approximately Block $ k $-Sparse Signals. - Kunsheng Zhan; Anhua Wan (IEEE Trans. Signal Process., 2025)