TPN: Topological Perception Network For 3d Mesh Representation. - Bingtao Ma; Yang Cong; Hongsen Liu; Xu Tang (ICIP, 2020)

An End-to-End Geometric Deficiency Elimination Algorithm for 3D Meshes. - Bingtao Ma; Hongsen Liu; Liangliang Nan; Yang Cong (CoRR, 2020)

I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting. - Jiahua Dong 001; Yang Cong; Gan Sun; Bingtao Ma; Lichen Wang (AAAI, 2021)

Angular Penalty for Few-Shot Incremental 3D Object Learning. - Bingtao Ma; Yang Cong (IJCNN, 2023)

A Comprehensive Study of 3-D Vision-Based Robot Manipulation. - Yang Cong; Ronghan Chen; Bingtao Ma; Hongsen Liu; Dongdong Hou; Chenguang Yang 001 (IEEE Trans. Cybern., 2023)

Topology-Aware Graph Convolution Network for Few-Shot Incremental 3-D Object Learning. - Bingtao Ma; Yang Cong; Jiahua Dong 001 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

IOSL: Incremental Open Set Learning. - Bingtao Ma; Yang Cong; Yu Ren (IEEE Trans. Circuits Syst. Video Technol., 2024)

GLA: Global-Local Awareness for 3D Point Cloud Class-Incremental Semantic Segmentation. - Jiale Zhu; Bingtao Ma; Shitong Zhang; Chenggang Yan 001; Shuai Wang 003 (IEEE Signal Process. Lett., 2025)

GNN-ACLP: Graph Neural Networks based Analog Circuit Link Prediction. - Guanyuan Pan; Tiansheng Zhou; Bingtao Ma; Yaqi Wang 002; Jianxiang Zhao; Shuai Wang 003 (CoRR, 2025)