Fast Forecasting with Simplified Kernel Regression Machines. - Wenwu He; Zhizhong Wang (CIS, 2007)

Optimized Local Kernel Machines for Fast Time Series Forecasting. - Wenwu He; Zhizhong Wang (ICNC (1), 2007)

Explicit update vs implicit update. - Wenwu He; Hui Jiang 003 (IJCNN, 2008)

Direct simplification for kernel regression machines. - Wenwu He; Zhizhong Wang (Neurocomputing, 2008)

Model optimizing and feature selecting for support vector regression in time series forecasting. - Wenwu He; Zhizhong Wang; Hui Jiang 003 (Neurocomputing, 2008)

Limited Stochastic Meta-Descent for Kernel-Based Online Learning. - Wenwu He (Neural Comput., 2009)

Grey relational grade in local support vector regression for financial time series prediction. - Hui Jiang 003; Wenwu He (Expert Syst. Appl., 2012)

A kernel-based Perceptron with dynamic memory. - Wenwu He; Si Wu 001 (Neural Networks, 2012)

Simple randomized algorithms for online learning with kernels. - Wenwu He; James T. Kwok (Neural Networks, 2014)

机会移动传感网中基于感知方向的数据收集 (Perceptive-direction-based Data Gathering in Opportunistic Mobile Sensor Networks). - Quan Liang; Wenwu He; Yonghui Zhang (计算机科学, 2015)

A Note on the Unification of Adaptive Online Learning. - Wenwu He; James Tin-Yau Kwok; Ji Zhu; Yang Liu 018 (IEEE Trans. Neural Networks Learn. Syst., 2017)

To regularize or not: Revisiting SGD with simple algorithms and experimental studies. - Wenwu He; Yang Liu 018 (Expert Syst. Appl., 2018)

Online learning with sparse labels. - Wenwu He; Fumin Zou; Quan Liang (Concurr. Comput. Pract. Exp., 2019)

A Fast Iterative Check Polytope Projection Algorithm for ADMM Decoding of LDPC Codes by Bisection Method. - Yan Lin; Qiaoqiao Xia; Wenwu He; Qinglin Zhang (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2019)

An Embedding Skeleton for Fish Detection and Marine Organisms Recognition. - Jinde Zhu; Wenwu He; Weidong Weng; Tao Zhang; Yuze Mao; Xiutang Yuan; Peizhen Ma; Guojun Mao (Symmetry, 2022)

A fine-grained detection method for gate-level hardware Trojan base on bidirectional Graph Neural Networks. - Dong Chen; Chen Dong 002; Wenwu He; Zhenyi Chen; Ximeng Liu; Hao Zhang 078 (J. King Saud Univ. Comput. Inf. Sci., 2023)