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Wen Shen 0002
Person information
- affiliation: Tongji University, Shanghai, China
Other persons with the same name
- Wen Shen — disambiguation page
- Wen Shen 0001 — Tulane University, Department of Computer Science, New Orleans, LA, USA (and 3 more)
- Wen Shen 0003 — Pennsylvania State University, University Park, PA, USA
- Wen Shen 0004 — Chongqing University of Posts and Telecommunications, Chongqing, China
- Wen Shen 0005 — Hohai University, Changzhou, China
- Wen Shen 0006 — Auburn University, AL, USA
- Wen Shen 0007 — Zhongnan University of Economics and Law, Wuhan, China
- Wen Shen 0008 — Tianjin First Central Hospital, Tianjin, China
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2020 – today
- 2024
- [j6]Wen Shen
, Zhihua Wei
, Qihan Ren
, Binbin Zhang
, Shikun Huang
, Jiaqi Fan
, Quanshi Zhang
:
Interpretable Rotation-Equivariant Quaternion Neural Networks for 3D Point Cloud Processing. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3290-3304 (2024) - [c15]Xu Cheng, Hao Zhang, Yue Xin, Wen Shen, Quanshi Zhang:
Clarifying the Behavior and the Difficulty of Adversarial Training. AAAI 2024: 11507-11515 - [c14]Huilin Zhou, Hao Zhang, Huiqi Deng, Dongrui Liu, Wen Shen, Shih-Han Chan, Quanshi Zhang:
Explaining Generalization Power of a DNN Using Interactive Concepts. AAAI 2024: 17105-17113 - [c13]Zhanpeng Zhou, Wen Shen, Huixin Chen, Ling Tang, Yuefeng Chen, Quanshi Zhang:
Batch Normalization Is Blind to the First and Second Derivatives of the Loss. AAAI 2024: 20010-20018 - [c12]Qihan Ren, Jiayang Gao, Wen Shen, Quanshi Zhang:
Where We Have Arrived in Proving the Emergence of Sparse Interaction Primitives in DNNs. ICLR 2024 - 2023
- [c11]Ling Tang, Wen Shen, Zhanpeng Zhou, Yuefeng Chen, Quanshi Zhang:
Defects of Convolutional Decoder Networks in Frequency Representation. ICML 2023: 33758-33791 - [i10]Huilin Zhou, Hao Zhang, Huiqi Deng, Dongrui Liu, Wen Shen, Shih-Han Chan, Quanshi Zhang:
Concept-Level Explanation for the Generalization of a DNN. CoRR abs/2302.13091 (2023) - [i9]Wen Shen, Lei Cheng, Yuxiao Yang, Mingjie Li, Quanshi Zhang:
Can the Inference Logic of Large Language Models be Disentangled into Symbolic Concepts? CoRR abs/2304.01083 (2023) - [i8]Qihan Ren, Jiayang Gao, Wen Shen, Quanshi Zhang:
Where We Have Arrived in Proving the Emergence of Sparse Symbolic Concepts in AI Models. CoRR abs/2305.01939 (2023) - 2022
- [i7]Xu Cheng, Hao Zhang, Yue Xin, Wen Shen, Jie Ren, Quanshi Zhang:
Why Adversarial Training of ReLU Networks Is Difficult? CoRR abs/2205.15130 (2022) - [i6]Zhanpeng Zhou, Wen Shen, Huixin Chen, Ling Tang, Quanshi Zhang:
Batch Normalization Is Blind to the First and Second Derivatives of the Loss. CoRR abs/2205.15146 (2022) - [i5]Ling Tang, Wen Shen, Zhanpeng Zhou, Yuefeng Chen, Quanshi Zhang:
Defects of Convolutional Decoder Networks in Frequency Representation. CoRR abs/2210.09020 (2022) - 2021
- [c10]Wen Shen, Zhihua Wei, Shikun Huang, Binbin Zhang, Panyue Chen, Ping Zhao, Quanshi Zhang:
Verifiability and Predictability: Interpreting Utilities of Network Architectures for Point Cloud Processing. CVPR 2021: 10703-10712 - [c9]Wen Shen, Zhihua Wei, Shikun Huang, Binbin Zhang, Jiaqi Fan, Ping Zhao, Quanshi Zhang:
Interpretable Compositional Convolutional Neural Networks. IJCAI 2021: 2971-2978 - [c8]Wen Shen, Qihan Ren, Dongrui Liu, Quanshi Zhang:
Interpreting Representation Quality of DNNs for 3D Point Cloud Processing. NeurIPS 2021: 8857-8870 - [i4]Wen Shen, Zhihua Wei, Shikun Huang, Binbin Zhang, Jiaqi Fan, Ping Zhao, Quanshi Zhang:
Interpretable Compositional Convolutional Neural Networks. CoRR abs/2107.04474 (2021) - [i3]Wen Shen, Qihan Ren, Dongrui Liu, Quanshi Zhang:
Interpreting Representation Quality of DNNs for 3D Point Cloud Processing. CoRR abs/2111.03549 (2021) - 2020
- [j5]Wen Shen, Zhihua Wei, Qianwen Li, Hongyun Zhang, Duoqian Miao:
Three-way decisions based blocking reduction models in hierarchical classification. Inf. Sci. 523: 63-76 (2020) - [j4]Baizhen Li, Zhihua Wei, Duoqian Miao, Nan Zhang, Wen Shen, Chang Gong, Hongyun Zhang, Lijun Sun:
Improved general attribute reduction algorithms. Inf. Sci. 536: 298-316 (2020) - [c7]Wen Shen, Binbin Zhang, Shikun Huang, Zhihua Wei, Quanshi Zhang:
3D-Rotation-Equivariant Quaternion Neural Networks. ECCV (20) 2020: 531-547 - [c6]Binbin Zhang, Qianwen Li, Wen Shen, Shikun Huang, Zhihua Wei:
An Automatic Image Segmentation Algorithm Based on Three-Way Decisions. ICACI 2020: 118-125
2010 – 2019
- 2019
- [j3]Zhihua Wei, Wen Shen, Cairong Zhao, Duoqian Miao:
A self-adaptive cascade ConvNets model based on label relation mining. Neurocomputing 328: 29-38 (2019) - [c5]Shikun Huang, Binbin Zhang, Wen Shen, Zhihua Wei:
A CLAIM Approach to Understanding the PointNet. ACAI 2019: 97-103 - [c4]Binbin Zhang, Shikun Huang, Wen Shen, Zhihua Wei:
Explaining the PointNet: What Has Been Learned Inside the PointNet? CVPR Workshops 2019: 71-74 - [c3]Ying Chen, Wen Shen, Qianwen Li, Zhihua Wei:
A Dustbin Category Based Feedback Incremental Learning Strategy for Hierarchical Image Classification. PRCV (1) 2019: 480-491 - [i2]Binbin Zhang, Wen Shen, Shikun Huang, Zhihua Wei, Quanshi Zhang:
3D-Rotation-Equivariant Quaternion Neural Networks. CoRR abs/1911.09040 (2019) - [i1]Shikun Huang, Binbin Zhang, Wen Shen, Zhihua Wei, Quanshi Zhang:
Utility Analysis of Network Architectures for 3D Point Cloud Processing. CoRR abs/1911.09053 (2019) - 2018
- [j2]Qianwen Li, Zhihua Wei
, Wen Shen
:
Selective Feature Fusion Based Adaptive Image Segmentation Algorithm. Adv. Multim. 2018: 4724078:1-4724078:10 (2018) - [j1]Wen Shen, Zhihua Wei, Chao Yang, Renxian Zhang:
Travel pattern modelling and future travel behaviour prediction based on GMM and GPR. Int. J. Simul. Process. Model. 13(6): 548-556 (2018) - 2017
- [c2]Wen Shen, Zhihua Wei, Cairong Zhao, Duoqian Miao:
A Self-adaptive Cascade ConvNets Model Based on Three-Way Decision Theory. CCCV (2) 2017: 433-444 - 2015
- [c1]Wen Shen, Zhihua Wei, Yunyi Li, Hua Zhang, Ping Liu:
Multiple Granular Analysis of TCM Data with Applications on Diagnosis of Hepatitis B. SMC 2015: 2920-2925
Coauthor Index
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last updated on 2024-08-08 20:11 CEST by the dblp team
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