LBGK Simulations of Turing Patterns in CIMA Model. - Qing Li; Chuguang Zheng; Nengchao Wang; Baochang Shi (J. Sci. Comput., 2001)

Two new algorithms based on product system for discrete cosine transform. - Zhaoli Guo; Baochang Shi; Nengchao Wang (Signal Process., 2001)

Hiding a Logo Watermark in an Image for Its Copyright Protection. - Jun Zhang; Feng Xiong; Nengchao Wang (ICADL, 2002)

Hiding a Logo Watermark into the Multiwavelet Domain Using Neural Networks. - Jun Zhang; Nengchao Wang; Feng Xiong (ICTAI, 2002)

Extendible look-up table of twiddle factors and radix-8 based fast Fourier transform. - Qing Li 011; Nengchao Wang; Baochang Shi; Chuguang Zheng (Signal Process., 2002)

Lattice Boltzmann Simulations of Fluid Flows. - Baochang Shi; Nangzhong He; Nengchao Wang; Zhaoli Guo; Weibin Guo (APPT, 2003)

Constructing Neighbor-Joining phylogenetic trees with reduced redundancy computation. - Ningtao Chen; Baochang Shi; Nengchao Wang (ICECS, 2005)

The evolving generation and fast algorithms of Walsh transforms. - Ningtao Chen; Nengchao Wang; Baochang Shi (ICECS, 2005)

Study on Properties of Protein Folding Conformation Network. - Nengchao Wang; Zhongjun Wang (BIOCOMP, 2006)

Walsh Function Systems: The Bisectional Evolutional Generation Pattern. - Nengchao Wang; Jianhua Lu; Baochang Shi (ICES, 2007)

A block splitting technique for fast 2D Walsh transform. - Ningtao Chen; Baochang Shi; Nengchao Wang (Signal Process., 2007)

A new algorithm for encoding and decoding the Hilbert order. - Ningtao Chen; Nengchao Wang; Baochang Shi (Softw. Pract. Exp., 2007)

Fast N-Dimensional Hilbert Mapping Algorithm. - Chenyang Lu 003; Hong Zhu 003; Nengchao Wang (ICCSA Workshops, 2008)

Image Quality Assessment by Visual Gradient Similarity. - Jieying Zhu; Nengchao Wang (IEEE Trans. Image Process., 2012)

Transferable Cross-Tokamak Disruption Prediction with Deep Hybrid Neural Network Feature Extractor. - Wei Zheng; Fengming Xue; Ming Zhang; Zhongyong Chen; Chengshuo Shen; Xinkun Ai; Nengchao Wang; Dalong Chen; Bihao Guo; Yonghua Ding; Zhipeng Chen; Zhoujun Yang; et al. (CoRR, 2022)

IDP-PGFE: An Interpretable Disruption Predictor based on Physics-Guided Feature Extraction. - Chengshuo Shen; Wei Zheng; Yonghua Ding; Xinkun Ai; Fengming Xue; Yu Zhong; Nengchao Wang; Li Gao; Zhipeng Chen; Zhoujun Yang; Zhongyong Chen; Yuan Pan; et al. (CoRR, 2022)

Disruption Precursor Onset Time Study Based on Semi-supervised Anomaly Detection. - Xinkun Ai; Wei Zheng; Ming Zhang; Dalong Chen; Chengshuo Shen; Bihao Guo; Bingjia Xiao; Yu Zhong; Nengchao Wang; Zhoujun Yang; Zhipeng Chen; Zhongyong Chen; et al. (CoRR, 2023)

Feature-based Transferable Disruption Prediction for future tokamaks using domain adaptation. - Chengshuo Shen; Wei Zheng; Bihao Guo; Dalong Chen; Xinkun Ai; Fengming Xue; Yu Zhong; Nengchao Wang; Biao Shen; Binjia Xiao; Yonghua Ding; Zhongyong Chen; et al. (CoRR, 2023)

Extraction of n = 0 pick-up by locked mode detectors based on neural networks in J-TEXT. - Chengshuo Shen; Jianchao Li; Yonghua Ding; Jiaolong Dong; Nengchao Wang; Dongliang Han; Feiyue Mao; Da Li; Zhipeng Chen; Zhoujun Yang; Zhongyong Chen; Yuan Pan; et al. (CoRR, 2023)