Incremental reconstruction of water-tight surface from unorganized points. - Rao Fu; Cheng Wen 001; Riqing Chen; Yifan Fu; Jian Wu 012 (Commun. Inf. Syst., 2017)

Learning Progressive Point Embeddings for 3D Point Cloud Generation. - Cheng Wen 001; Baosheng Yu; Dacheng Tao (CVPR, 2021)

Learnable Skeleton-Aware 3D Point Cloud Sampling. - Cheng Wen 001; Baosheng Yu; Dacheng Tao (CVPR, 2023)

BPNet: Bézier Primitive Segmentation on 3D Point Clouds. - Rao Fu; Cheng Wen 001; Qian Li; Xiao Xiao; Pierre Alliez (IJCAI, 2023)

PointWavelet: Learning in Spectral Domain for 3D Point Cloud Analysis. - Cheng Wen 001; Jianzhi Long; Baosheng Yu; Dacheng Tao (CoRR, 2023)

Patch-Wise Point Cloud Generation: A Divide-and-Conquer Approach. - Cheng Wen 001; Baosheng Yu; Rao Fu; Dacheng Tao (CoRR, 2023)

IMFIT: Normal Estimation via Learning Neural Implicit Surface. - Rao Fu; Cheng Wen 001; Qian Li (ICASSP, 2024)

Reference Line Network: On Simultaneous Gaussian Line Detection and Connection Graph Inference. - Qian Li; Rao Fu; Cheng Wen 001 (ICASSP, 2024)

Incremental Tensor Decomposition for Few Shot Neural Radiance Field. - Qian Li; Cheng Wen 001; Rao Fu (ICASSP, 2024)

A Region-Growing Supervised Geometry-Weighted Transformer for Normal Estimation. - Rao Fu; Qian Li; Cheng Wen 001; Ning An 002; Fulin Tang (ICME, 2024)

Improving Few-Shot Neural Radiance Field with Image Based Rendering. - Qian Li; Cheng Wen 001; Rao Fu (ICME, 2024)

PointWavelet: Learning in Spectral Domain for 3-D Point Cloud Analysis. - Cheng Wen 001; Jianzhi Long; Baosheng Yu; Dacheng Tao (IEEE Trans. Neural Networks Learn. Syst., 2025)

A Novel Framework for Learning Bézier Decomposition From 3D Point Clouds. - Rao Fu; Qian Li; Cheng Wen 001; Ning An 002; Fulin Tang (IEEE Trans. Circuits Syst. Video Technol., 2025)