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

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)

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.

Leveraging Debiased Cross-modal Attention Maps and Code-based Reasoning for Zero-shot Referring Expression Comprehension

Chen, J., Shen, W., Wei, Z., Sun, L., & Zhang, H. Leveraging Debiased Cross-modal Attention Maps and Code-based Reasoning for Zero-shot Referring Expression Comprehension. In ICCV 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., Qin, R., Wang, Q., Liu, D., & Shen, W. Understanding and Defending VLM Jailbreaks via Jailbreak-Related Representation Shift. In NeurIPS 2026.

TME-PSR: Time-aware, Multi-interest, and Explanation Personalization for Sequential Recommendation

Wang, Q., Wen, L., Chen, J., Peng, K., Qin, R., Wei, Z., & Shen, W. TME-PSR: Time-aware, Multi-interest, and Explanation Personalization for Sequential Recommendation. arXiv preprint arXiv:2604.09439, 2026.

FOSK: Fast Open-Vocabulary 3D Instance Segmentation via Consensus-Filtered Knowledge Distillation

Wu, H., Gao, Z., Cao, J., Yao, K., Shen, W., & Wei, Z. FOSK: Fast Open-Vocabulary 3D Instance Segmentation via Consensus-Filtered Knowledge Distillation. In ICASSP 2026.

Mitigating Action-Relation Hallucinations in LVLMs via Relation-aware Visual Enhancement

Qin, Z., Li, Q., Wang, Q., Qin, R., Wei, Z., & Shen, W. Mitigating Action-Relation Hallucinations in LVLMs via Relation-aware Visual Enhancement. In ACL 2026.

Evaluating and Explaining Prompt Sensitivity of LLMs Using Interactions

Qin, R., Wang, Q., Wang, T., Wei, Z., & Shen, W. Evaluating and Explaining Prompt Sensitivity of LLMs Using Interactions. In ICML 2026.

A Unified Approach to Interpreting Knowledge Distillation for Large Language Models via Interactions

Wang, Q., Qin, R., Qin, Z., Shen, W., & Wei, Z. A Unified Approach to Interpreting Knowledge Distillation for Large Language Models via Interactions. In ICML 2026.

Multilingual Safety Alignment via Self-Distillation

Qin, R., Wang, Q., Liu, D., Li, Q., Wei, Z., & Shen, W. Multilingual Safety Alignment via Self-Distillation. In NeurIPS 2026.

Bridging the Gap Between Harmfulness Belief and Refusal Behavior for Safety Alignment

Zhang, L., Feng, C., Wang, Q., Shen, W., & Wei, Z. Bridging the Gap Between Harmfulness Belief and Refusal Behavior for Safety Alignment. In NeurIPS 2026.

When LLMs Know but Fail to Reason: Injecting Memory for Reasoning Enhancement

Wang, T., Hu, S., Qin, R., Zhang, H., Wang, Q., Yu, S., Liu, D., Wei, Z., & Shen, W. When LLMs Know but Fail to Reason: Injecting Memory for Reasoning Enhancement. In NeurIPS 2026.

Explaining Chain-of-Thought Reasoning in Vision-Language Models via Interactions

Chen, Y., Shen, W., Yao, K., Xue, J., Lv, C., Wang, J., & Li, C. Explaining Chain-of-Thought Reasoning in Vision-Language Models via Interactions. In ACM MM 2026.

Wen Shen (沈雯)

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