3D-Rotation-Equivariant Quaternion Neural Networks
Shen W., Zhang B., Huang S., Wei Z., Zhang Q.: 3D-Rotation-Equivariant Quaternion Neural Networks. In: Proceedings of the European Conference on Computer Vision (ECCV). pp. 531-547 (2020)
CV
Education
- B.S. in GitHub, GitHub University, 2012
- M.S. in Jekyll, GitHub University, 2014
- Ph.D in Version Control Theory, GitHub University, 2018 (expected)
Work experience
- Summer 2015: Research Assistant
- Github University
- Duties included: Tagging issues
- Supervisor: Professor Git
- Fall 2015: Research Assistant
- Github University
- Duties included: Merging pull requests
- Supervisor: Professor Hub
Skills
- Skill 1
- Skill 2
- Sub-skill 2.1
- Sub-skill 2.2
- Sub-skill 2.3
- Skill 3
Publications
Verifiability and Predictability: Interpreting Utilities of Network Architectures for Point Cloud Processing
Shen, W., Wei, Z., Huang, S., Zhang, B., Chen P., Zhao P., & Zhang, Q. Verifiability and Predictability: Interpreting Utilities of Network Architectures for Point Cloud Processing. In CVPR 2021.
Interpretable Compositional Convolutional Neural Networks
Shen W., Wei Z., Huang S., Zhang B., Fan J., Zhao P., Zhang Q.: Interpretable Compositional Convolutional Neural Networks. In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI). (2021)
Interpreting Representation Quality of DNNs for 3D Point Cloud Processing
Shen W., Ren Q., Liu D., Zhang Q.: Interpreting Representation Quality of DNNs for 3D Point Cloud Processing. In: Proceedings of the 35th Conference on Neural Information Processing Systems (NeurIPS). (2021)
Defects of Convolutional Decoder Networks in Frequency Representation
Tang, L., Shen, W., Zhou, Z., Chen, Y., & Zhang, Q. Defects of Convolutional Decoder Networks in Frequency Representation. In ICML 2023.
Batch Normalization Is Blind to the First and Second Derivatives of the Loss
Zhou, Z., Shen, W., Chen, H., Tang, L., Chen, Y., & Zhang, Q. Batch Normalization Is Blind to the First and Second Derivatives of the Loss. In AAAI 2024.
Interpretable Rotation-Equivariant Quaternion Neural Networks for 3D Point Cloud Processing
Shen, W., Wei, Z., Ren, Q., Zhang, B., Huang, S., Fan, J., & Zhang, Q. Interpretable Rotation-Equivariant Quaternion Neural Networks for 3D Point Cloud Processing. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024.
A Unified Approach to Interpreting Self-supervised Pre-training Methods for 3D Point Clouds via Interactions
Li, Q., Ruan, J., Wu, F., Chen, Y., Wei, Z., & Shen, W. A Unified Approach to Interpreting Self-supervised Pre-training Methods for 3D Point Clouds via Interactions. In CVPR 2025.
Interpreting Arithmetic Reasoning in Large Language Models using Game-Theoretic Interactions
Wen, L., Zheng, L., Li, H., Sun, L., Wei, Z., & Shen, W. Interpreting Arithmetic Reasoning in Large Language Models using Game-Theoretic Interactions. In NeurIPS 2025.
Understanding and Defending VLM Jailbreaks via Jailbreak-Related Representation Shift
Wei, Z., Li, Q., Ruan, J., Qin, Z., Wen, L., Liu, D., & Shen, W. Understanding and Defending VLM Jailbreaks via Jailbreak-Related Representation Shift. arXiv preprint arXiv:2603.17372, 2026.
Talks
Talk 1 on Relevant Topic in Your Field
Talk at UC San Francisco, Department of Testing, San Francisco, California
Tutorial 1 on Relevant Topic in Your Field
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA
Talk 2 on Relevant Topic in Your Field
Talk at London School of Testing, London, UK
Conference Proceeding talk 3 on Relevant Topic in Your Field
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA
Teaching
Service and leadership
- Currently signed in to 43 different slack teams