A CLAIM Approach to Understanding the PointNet. - Shikun Huang; Binbin Zhang; Wen Shen 002; Zhihua Wei 001 (ACAI, 2019)

Explaining the PointNet: What Has Been Learned Inside the PointNet? - Binbin Zhang; Shikun Huang; Wen Shen 002; Zhihua Wei 001 (CVPR Workshops, 2019)

Utility Analysis of Network Architectures for 3D Point Cloud Processing. - Shikun Huang; Binbin Zhang; Wen Shen 002; Zhihua Wei 001; Quanshi Zhang (CoRR, 2019)

3D-Rotation-Equivariant Quaternion Neural Networks. - Wen Shen 002; Binbin Zhang; Shikun Huang; Zhihua Wei 001; Quanshi Zhang (ECCV (20), 2020)

An Automatic Image Segmentation Algorithm Based on Three-Way Decisions. - Binbin Zhang; Qianwen Li; Wen Shen 002; Shikun Huang; Zhihua Wei 001 (ICACI, 2020)

Verifiability and Predictability: Interpreting Utilities of Network Architectures for Point Cloud Processing. - Wen Shen 002; Zhihua Wei 001; Shikun Huang; Binbin Zhang; Panyue Chen; Ping Zhao; Quanshi Zhang (CVPR, 2021)

Interpretable Compositional Convolutional Neural Networks. - Wen Shen 002; Zhihua Wei 001; Shikun Huang; Binbin Zhang; Jiaqi Fan; Ping Zhao; Quanshi Zhang (IJCAI, 2021)

A Deep Learning Technique using a Sequence of Follow Up X-Rays for Disease classification. - Sairamvinay Vijayaraghavan; David Haddad; Shikun Huang; Seongwoo Choi (CoRR, 2022)

FusionAD: Multi-modality Fusion for Prediction and Planning Tasks of Autonomous Driving. - Tengju Ye; Wei Jing; Chunyong Hu; Shikun Huang; Lingping Gao; Fangzhen Li; Jingke Wang; Ke Guo; Wencong Xiao; Weibo Mao; Hang Zheng; Kun Li; et al. (CoRR, 2023)

Interpretable Rotation-Equivariant Quaternion Neural Networks for 3D Point Cloud Processing. - Wen Shen 002; Zhihua Wei 001; Qihan Ren; Binbin Zhang; Shikun Huang; Jiaqi Fan; Quanshi Zhang (IEEE Trans. Pattern Anal. Mach. Intell., 2024)