Multi-scale mesh saliency based on low-rank and sparse analysis in shape feature space. - Shengfa Wang; Nannan Li 002; Shuai Li 001; Zhongxuan Luo; Zhixun Su; Hong Qin 001 (Comput. Aided Geom. Des., 2015)

Generalized Local-to-Global Shape Feature Detection Based on Graph Wavelets. - Nannan Li 002; Shengfa Wang; Ming Zhong 007; Zhixun Su; Hong Qin 001 (IEEE Trans. Vis. Comput. Graph., 2016)

A High-Capacity 3D Steganography Algorithm With Adjustable Distortion. - Nannan Li 002; Jiangbei Hu; Riming Sun; Shengfa Wang; Zhongxuan Luo (IEEE Access, 2017)

An Efficient Algorithm for Finding the Minimum Perimeter Convex Hull of Disjoint Segments. - Nan Li; Bo Jiang 004; Nannan Li 002 (CSAE, 2018)

Non-Rigid 3D Shape Retrieval Based on Multi-view Metric Learning. - Haohao Li; Shengfa Wang; Nannan Li 002; Zhixun Su; Ximin Liu (ICME Workshops, 2019)

Learning diffusion on global graph: A PDE-directed approach for feature detection on geometric shapes. - Nannan Li 002; Shengfa Wang; Risheng Liu; Ziqiao Guan; Zhixun Su; Zhongxuan Luo; Hong Qin 001 (Comput. Aided Geom. Des., 2019)

Edge-preserving filter with adaptive L0 gradient optimization. - Wanshu Fan; Zhixun Su; Hongyan Wang; Nannan Li 002; Xuan Wang (Int. J. Distributed Sens. Networks, 2019)

Adaptive and Feature-Preserving Mesh Denoising Schemes Based on Developmental Guidance. - Nannan Li 002; Shaoyang Yue; Zhiyang Li 001; Shengfa Wang; Hui Wang 018 (IEEE Access, 2020)

Deep Neural Networks With Distance Distributions for Gender Recognition of 3D Human Shapes. - Hui Wang 018; Xiaoyang Lin; Nannan Li 002; Fan Meng; Junjie Cao 001; Xiuping Liu (IEEE Access, 2020)

Non-rigid 3D shape retrieval based on multi-scale graphical image and joint Bayesian. - Haohao Li; Zhixun Su; Nannan Li 002; Ximin Liu; Shengfa Wang; Zhongxuan Luo (Comput. Aided Geom. Des., 2020)

SAC-NMF-Driven Graphical Feature Analysis and Applications. - Nannan Li 002; Shengfa Wang; Haohao Li; Zhiyang Li 001 (Mach. Learn. Knowl. Extr., 2020)

Adaptive and Feature-Preserving Bilateral Filters for Three-Dimensional Models. - Nannan Li 002; Shaoyang Yue; Bo Jiang 004 (Traitement du Signal, 2020)

A Statistical Model of Spine Shape and Material for Population-Oriented Biomechanical Simulation. - Xiaobang Sun; Hongkai Wang; Weiying Wang; Nannan Li 002; Timo Hämäläinen 002; Tapani Ristaniemi; Changjian Liu (IEEE Access, 2021)

Multi-scale and multi-level shape descriptor learning via a hybrid fusion network. - Xinwei Huang; Nannan Li 002; Qing Xia 002; Shuai Li 001; Aimin Hao; Hong Qin 001 (Graph. Model., 2022)

mvEchoSeg: One-shot In-context Learning for Multi-view Echocardiography Segmentation. - Yuting Guo; Ya Duan; Wenfeng Song; Nannan Li 002; Aili Li; Shuai Li 001 (BIBM, 2024)

GeoHi-GNN: Geometry-aware hierarchical graph representation learning for normal estimation. - Nannan Li 002; Xinyuan Li; Jun Zhou 023; Dong Jiang; Jian Liu; Hong Qin 001 (Comput. Aided Geom. Des., 2024)

HieGeneNet: hierarchical implicit 3D shapes generation with single view images. - Nannan Li 002; Chengfei Li; Zhe Ma; Bo Li 023; Jian Liu (Commun. Inf. Syst., 2024)

Robust and feature-preserving point denoising via adaptive scale selection mechanism. - Nannan Li 002; Zhe Ma; Chengfei Li; Yuli Liu; Bo Li 023; Jun Zhou 023 (Commun. Inf. Syst., 2024)

Refining 3D Point Cloud Normal Estimation via Sample Selection. - Jun Zhou 023; Yaoshun Li; Hongchen Tan; Mingjie Wang 002; Nannan Li 002; Xiuping Liu (CoRR, 2024)

Joints-Centered Spatial-Temporal Features Fused Skeleton Convolution Network for Action Recognition. - Wenfeng Song; Tangli Chu; Shuai Li 001; Nannan Li 002; Aimin Hao; Hong Qin 001 (IEEE Trans. Multim., 2024)

Robust point cloud normal estimation via multi-level critical point aggregation. - Jun Zhou 023; Yaoshun Li; Mingjie Wang 002; Nannan Li 002; Zhiyang Li 001; Weixiao Wang (Vis. Comput., 2024)

High-fidelity 3D Gaussian inpainting: Preserving multi-view consistency and photorealistic details. - Jun Zhou 023; Dinghao Li; Nannan Li 002; Mingjie Wang 002 (Comput. Graph., 2025)

Asymmetrical siamese network for point clouds normal estimation. - Wei Jin; Jun Zhou 023; Nannan Li 002; Haba Madeline; Xiuping Liu (Expert Syst. Appl., 2025)

Fine-grained text and image guided point cloud completion with CLIP model. - Jun Zhou 023; Wei Song; Mingjie Wang 002; Hongchen Tan; Nannan Li 002; Xiuping Liu (Neurocomputing, 2025)

Enhanced normal estimation of point clouds via fine-grained geometric information learning. - Wei Jin; Jun Zhou 023; Mingjie Wang 002; Nannan Li 002; Weixiao Wang; Xiuping Liu (Mach. Vis. Appl., 2025)