Wen Shen

According to our database, Wen Shen authored at least 26 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Interpretable Rotation-Equivariant Quaternion Neural Networks for 3D Point Cloud Processing.

Wen Shen, Zhihua Wei, Qihan Ren, Binbin Zhang, Shikun Huang, Jiaqi Fan, Quanshi Zhang

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Explaining Generalization Power of a DNN Using Interactive Concepts.

Huilin Zhou, Hao Zhang, Huiqi Deng, Dongrui Liu, Wen Shen, Shih-Han Chan, Quanshi Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Batch Normalization Is Blind to the First and Second Derivatives of the Loss.

Zhanpeng Zhou, Wen Shen, Huixin Chen, Ling Tang, Yuefeng Chen, Quanshi Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Clarifying the Behavior and the Difficulty of Adversarial Training.

Xu Cheng, Hao Zhang, Yue Xin, Wen Shen, Quanshi Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Where We Have Arrived in Proving the Emergence of Sparse Symbolic Concepts in AI Models.

Qihan Ren, Jiayang Gao, Wen Shen, Quanshi Zhang

CoRR, 2023

Can the Inference Logic of Large Language Models be Disentangled into Symbolic Concepts?

Wen Shen, Lei Cheng, Yuxiao Yang, Mingjie Li, Quanshi Zhang

CoRR, 2023

Concept-Level Explanation for the Generalization of a DNN.

Huilin Zhou, Hao Zhang, Huiqi Deng, Dongrui Liu, Wen Shen, Shih-Han Chan, Quanshi Zhang

CoRR, 2023

Defects of Convolutional Decoder Networks in Frequency Representation.

Ling Tang, Wen Shen, Zhanpeng Zhou, Yuefeng Chen, Quanshi Zhang

Proceedings of the International Conference on Machine Learning, 2023

2022

Batch Normalization Is Blind to the First and Second Derivatives of the Loss.

Zhanpeng Zhou, Wen Shen, Huixin Chen, Ling Tang, Quanshi Zhang

CoRR, 2022

Why Adversarial Training of ReLU Networks Is Difficult?

Xu Cheng, Hao Zhang, Yue Xin, Wen Shen, Jie Ren, Quanshi Zhang

CoRR, 2022

2021

Interpreting Representation Quality of DNNs for 3D Point Cloud Processing.

Wen Shen, Qihan Ren, Dongrui Liu, Quanshi Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Interpretable Compositional Convolutional Neural Networks.

Wen Shen, Zhihua Wei, Shikun Huang, Binbin Zhang, Jiaqi Fan, Ping Zhao, Quanshi Zhang

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Verifiability and Predictability: Interpreting Utilities of Network Architectures for Point Cloud Processing.

Wen Shen, Zhihua Wei, Shikun Huang, Binbin Zhang, Panyue Chen, Ping Zhao, Quanshi Zhang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Three-way decisions based blocking reduction models in hierarchical classification.

Wen Shen, Zhihua Wei, Qianwen Li, Hongyun Zhang, Duoqian Miao

Inf. Sci., 2020

Improved general attribute reduction algorithms.

Baizhen Li, Zhihua Wei, Duoqian Miao, Nan Zhang, Wen Shen, Chang Gong, Hongyun Zhang, Lijun Sun

Inf. Sci., 2020

An Automatic Image Segmentation Algorithm Based on Three-Way Decisions.

Binbin Zhang, Qianwen Li, Wen Shen, Shikun Huang, Zhihua Wei

Proceedings of the 12th International Conference on Advanced Computational Intelligence, 2020

3D-Rotation-Equivariant Quaternion Neural Networks.

Wen Shen, Binbin Zhang, Shikun Huang, Zhihua Wei, Quanshi Zhang

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

A self-adaptive cascade ConvNets model based on label relation mining.

Zhihua Wei, Wen Shen, Cairong Zhao, Duoqian Miao

Neurocomputing, 2019

Utility Analysis of Network Architectures for 3D Point Cloud Processing.

Shikun Huang, Binbin Zhang, Wen Shen, Zhihua Wei, Quanshi Zhang

CoRR, 2019

A Dustbin Category Based Feedback Incremental Learning Strategy for Hierarchical Image Classification.

Ying Chen, Wen Shen, Qianwen Li, Zhihua Wei

Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019

Explaining the PointNet: What Has Been Learned Inside the PointNet?

Binbin Zhang, Shikun Huang, Wen Shen, Zhihua Wei

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

A CLAIM Approach to Understanding the PointNet.

Shikun Huang, Binbin Zhang, Wen Shen, Zhihua Wei

Proceedings of the ACAI 2019: 2nd International Conference on Algorithms, 2019

2018

Travel pattern modelling and future travel behaviour prediction based on GMM and GPR.

Wen Shen, Zhihua Wei, Chao Yang, Renxian Zhang

Int. J. Simul. Process. Model., 2018

Selective Feature Fusion Based Adaptive Image Segmentation Algorithm.

Qianwen Li, Zhihua Wei, Wen Shen

Adv. Multim., 2018

2017

A Self-adaptive Cascade ConvNets Model Based on Three-Way Decision Theory.

Wen Shen, Zhihua Wei, Cairong Zhao, Duoqian Miao

Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017

2015

Multiple Granular Analysis of TCM Data with Applications on Diagnosis of Hepatitis B.

Wen Shen, Zhihua Wei, Yunyi Li, Hua Zhang, Ping Liu

Proceedings of the 2015 IEEE International Conference on Systems, 2015