Multiple Granular Analysis of TCM Data with Applications on Diagnosis of Hepatitis B. - Wen Shen 002; Zhihua Wei 001; Yunyi Li; Hua Zhang; Ping Liu (SMC, 2015)

A Self-adaptive Cascade ConvNets Model Based on Three-Way Decision Theory. - Wen Shen 002; Zhihua Wei 001; Cairong Zhao; Duoqian Miao 001 (CCCV (2), 2017)

Selective Feature Fusion Based Adaptive Image Segmentation Algorithm. - Qianwen Li; Zhihua Wei 001; Wen Shen 002 (Adv. Multim., 2018)

Travel pattern modelling and future travel behaviour prediction based on GMM and GPR. - Wen Shen 002; Zhihua Wei 001; Chao Yang; Renxian Zhang (Int. J. Simul. Process. Model., 2018)

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)

A Dustbin Category Based Feedback Incremental Learning Strategy for Hierarchical Image Classification. - Ying Chen; Wen Shen 002; Qianwen Li; Zhihua Wei 001 (PRCV (1), 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)

A self-adaptive cascade ConvNets model based on label relation mining. - Zhihua Wei 001; Wen Shen 002; Cairong Zhao; Duoqian Miao 001 (Neurocomputing, 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)

Improved general attribute reduction algorithms. - Baizhen Li; Zhihua Wei 001; Duoqian Miao 001; Nan Zhang; Wen Shen 002; Chang Gong; Hongyun Zhang; Lijun Sun (Inf. Sci., 2020)

Three-way decisions based blocking reduction models in hierarchical classification. - Wen Shen 002; Zhihua Wei 001; Qianwen Li; Hongyun Zhang; Duoqian Miao 001 (Inf. Sci., 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)

Interpreting Representation Quality of DNNs for 3D Point Cloud Processing. - Wen Shen 002; Qihan Ren; Dongrui Liu; Quanshi Zhang (NeurIPS, 2021)

Why Adversarial Training of ReLU Networks Is Difficult? - Xu Cheng 005; Hao Zhang 063; Yue Xin; Wen Shen 002; Jie Ren 018; Quanshi Zhang (CoRR, 2022)

Batch Normalization Is Blind to the First and Second Derivatives of the Loss. - Zhanpeng Zhou; Wen Shen 002; Huixin Chen; Ling Tang 002; Quanshi Zhang (CoRR, 2022)

Defects of Convolutional Decoder Networks in Frequency Representation. - Ling Tang 002; Wen Shen 002; Zhanpeng Zhou; Yuefeng Chen; Quanshi Zhang (ICML, 2023)

Concept-Level Explanation for the Generalization of a DNN. - Huilin Zhou; Hao Zhang 063; Huiqi Deng; Dongrui Liu; Wen Shen 002; Shih-Han Chan; Quanshi Zhang (CoRR, 2023)

Can the Inference Logic of Large Language Models be Disentangled into Symbolic Concepts? - Wen Shen 002; Lei Cheng 006; Yuxiao Yang; Mingjie Li; Quanshi Zhang (CoRR, 2023)

Where We Have Arrived in Proving the Emergence of Sparse Symbolic Concepts in AI Models. - Qihan Ren; Jiayang Gao; Wen Shen 002; Quanshi Zhang (CoRR, 2023)

Clarifying the Behavior and the Difficulty of Adversarial Training. - Xu Cheng 005; Hao Zhang 063; Yue Xin; Wen Shen 002; Quanshi Zhang (AAAI, 2024)

Batch Normalization Is Blind to the First and Second Derivatives of the Loss. - Zhanpeng Zhou; Wen Shen 002; Huixin Chen; Ling Tang 002; Yuefeng Chen; Quanshi Zhang (AAAI, 2024)

Explaining Generalization Power of a DNN Using Interactive Concepts. - Huilin Zhou; Hao Zhang 063; Huiqi Deng; Dongrui Liu; Wen Shen 002; Shih-Han Chan; Quanshi Zhang (AAAI, 2024)

Where We Have Arrived in Proving the Emergence of Sparse Interaction Primitives in DNNs. - Qihan Ren; Jiayang Gao; Wen Shen 002; Quanshi Zhang (ICLR, 2024)

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)

Infusing Multi-Hop Medical Knowledge Into Smaller Language Models for Biomedical Question Answering. - Jing Chen 043; Zhihua Wei 001; Wen Shen 002; Rui Shang (IEEE J. Biomed. Health Informatics, 2025)