Incremental functional maps for accurate and smooth shape correspondence. - Shengjun Liu; Haibo Wang 009; Ling Hu; Qinsong Li; Xinru Liu (Vis. Comput., 2022)

Deep MSFOP: Multiple Spectral filter Operators Preservation in Deep Functional Maps for Unsupervised Shape Matching. - Feifan Luo; Qingsong Li; Ling Hu; Xinru Liu; Haojun Xu; Haibo Wang 009; Ting Li; Shengjun Liu (CoRR, 2024)

Multiscale Spectral Manifold Wavelet Regularizer for Unsupervised Deep Functional Maps. - Shengjun Liu; Jing Meng; Ling Hu; Yueyu Guo; Xinru Liu; Xiaoxia Yang; Haibo Wang 009; Qinsong Li (Comput. Graph. Forum, 2024)

SEDFMNet: A Simple and Efficient Unsupervised Functional Map for Shape Correspondence Based on Deconstruction. - Haojun Xu; Qinsong Li; Ling Hu; Shengjun Liu; Haibo Wang 009; Xinru Liu (Graph. Model., 2025)

Spectral Descriptors for 3D Deformable Shape Matching: A Comparative Survey. - Shengjun Liu; Haibo Wang 009; Dong-Ming Yan 001; Qinsong Li; Feifan Luo; Zi Teng; Xinru Liu (IEEE Trans. Vis. Comput. Graph., 2025)

TriAlign: revisiting deep functional map from map representation alignment perspectives. - Haibo Wang 009; Qinsong Li; Ling Hu; Haojun Xu; Jing Meng; Xinru Liu; Yu-Kun Lai; Shengjun Liu (Vis. Comput., 2025)