The M2M Pathfinding Algorithm Based on the Idea of Granular Computing. - Haifeng Wan; Yingpeng Zhang; Shengzhou Luo; Ruijie Liu; Wensheng Ye (IAT, 2009)

Importance-driven Volume Rendering and Gradient Peeling. - Shengzhou Luo; Xiao Li; Jianhuang Wu; Xin Ma (GRAPP, 2011)

Information-Guided Transfer Function Refinement. - Shengzhou Luo; John Dingliana (Eurographics (Short Papers), 2014)

Visibility-Weighted Saliency for Volume Visualization. - Shengzhou Luo; John Dingliana (CGVC, 2015)

Transfer function optimization for volume visualization based on visibility and saliency - Shengzhou Luo (2016)

Transfer function optimization based on a combined model of visibility and saliency. - Shengzhou Luo; John Dingliana (SCCG, 2017)

Intuitive Transfer Function Editing Using Relative Visibility Histograms. - Shengzhou Luo; Subhrajyoti Maji; John Dingliana (J. WSCG, 2018)

An Improved Two-stream Inflated 3D ConvNet for Abnormal Behavior Detection. - Jiahui Pan; Liangxin Liu; Mianfen Lin; Shengzhou Luo; Chengju Zhou; Huijian Liao; Fei Wang 026 (Intell. Autom. Soft Comput., 2021)

An optimized automatic prediction of stage and grade in bladder cancer based on U-ResNet. - Xin-Zi Cao; Shengzhou Luo; Jing-Cong Li; Jiahui Pan (J. Intell. Fuzzy Syst., 2021)

Rate-Distortion Modeling for Bit Rate Constrained Point Cloud Compression. - Pan Gao 001; Shengzhou Luo; Manoranjan Paul (IEEE Trans. Circuits Syst. Video Technol., 2023)

Twinenet: coupling features for synthesizing volume rendered images via convolutional encoder-decoders and multilayer perceptrons. - Shengzhou Luo; Jingxing Xu; John Dingliana; Mingqiang Wei; Lu Han; Lewei He; Jiahui Pan (Vis. Comput., 2024)

Publisher Correction: Twinenet: coupling features for synthesizing volume rendered images via convolutional encoder-decoders and multilayer perceptrons. - Shengzhou Luo; Jingxing Xu; John Dingliana; Mingqiang Wei; Lu Han; Lewei He; Jiahui Pan (Vis. Comput., 2025)