九游网页版官方站入口-九游（中国）

沈雯，同济大学九游网页版官方站入口-九游（中国）副教授、博士生导师，上海市“晨光学者”。曾任上海交通大学博士后研究员（2022.2-2024.3）。研究方向包括大模型、可解释性、安全性等。已发表40多篇高质量学术论文，涵盖了IEEE TPAMI、NeurIPS、ICML、CVPR、AAAI和IJCAI等CCF-A类期刊与会议。主持国自然面上项目、青年基金（C类）项目等多个国家级科研项目，获得包括同济大学优秀博士学位论文奖和上海市计算机学会优秀博士学位论文提名奖等荣誉。

【代表性论文】

符号“*”表示通讯作者,符号“#”表示共同一作。

[1] Qingzhuo Wang#, Ruiyang Qin#, Zhenxin Qin, Wen Shen*, Zhihua Wei*. A Unified Approach to Interpreting Knowledge Distillation for Large Language Models via Interactions, Forty-Third International Conference on Machine Learning (ICML), Seoul, South Korea, July 6, 2026. (CCF-A类)

[2] Ruiyang Qin, Qingzhuo Wang, Tian Wang, Zhihua Wei, Wen Shen*. Evaluating and Explaining Prompt Sensitivity of LLMs Using Interactions, Forty-Third International Conference on Machine Learning (ICML), Seoul, South Korea, July 6, 2026. (CCF-A类)

[3] Zhenxin Qin, Qiang Li, Qingzhuo Wang, Ruiyang Qin, Zhihua Wei, Wen Shen*. Mitigating Action-Relation Hallucinations in LVLMs via Relation-aware Visual Enhancement, Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL), San Diego, California, July 2, 2026. (CCF-A类)

[4] Junyao Yang, Chen Qian, Dongrui Liu, Wen Shen, Yong Liu, Jing Shao. ReasonAny: Incorporating Reasoning Capability to Any Model via Simple

and Effective Model Merging, Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL), San Diego, California, July 2, 2026. (CCF-A类)

[5] Hongrui Wu#, Zhicheng Gao#, Jin Cao, Kelu Yao, Wen Shen*, Zhihua Wei*. FOSK: Fast Open-Vocabulary 3D Instance Segmentation via Consensus-Filtered Knowledge Distillation, ICASSP 2026-2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, May 4, 2026. (CCF-B类)

[6] Leilei Wen, Liwei Zheng, Hongda Li, Lijun Sun, Zhihua Wei, Wen Shen*. Interpreting Arithmetic Reasoning in Large Language Models using Game-Theoretic Interactions, Proceedings of Advances in Neural Information Processing Systems (NeurIPS), San Diego, CA, December 2, 2025. (CCF-A类)

[7] Juntao Chen, Wen Shen*, Zhihua Wei*, Lijun Sun*, Hongyun Zhang. Leveraging Debiased Cross-modal Attention Maps and Code-based Reasoning

for Zero-shot Referring Expression Comprehension, Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), Honolulu, Hawai, USA, Oct 19, 2025. (CCF-A类)

[8] Qiang Li, Jian Ruan, Fanghao Wu, Yuchi Chen, Zhihua Wei*, Wen Shen*. A Unified Approach to Interpreting Self-supervised Pre-training Methods for 3D Point Clouds via Interactions, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, Tennessee, USA, June 11, 2025. (CCF-A类)

[9] Wen Shen#, Zhihua Wei#, QihanRen, Binbin Zhang, Shikun Huang, Jiaqi Fan, and Quanshi Zhang*; Interpretable Rotation-EquivariantQuaternion Neural Networks for 3D Point Cloud Processing, IEEE Transactions on Pattern Analysis and MachineIntelligence (IEEE T-PAMI), vol. 46, no. 5, pp. 3290-3304, January 8, 2024. (CCF-A类, IF=24.314)

[10] Wen Shen, Qihan Ren, Dongrui Liu, and QuanshiZhang*. Interpreting Representation Qualityof DNNs for 3D Point Cloud Processing, Proceedingsof Advances in Neural Information Processing Systems (NeurIPS), Virtual,December 6, 2021. (CCF-A类)

[11] Wen Shen#, Zhihua Wei#, Shikun Huang, Binbin Zhang, Panyue Chen,Ping Zhao, and Quanshi Zhang*. Verifiability andPredictability: Interpreting Utilities of Network Architectures for 3D PointCloud Processing, Proceedings of the IEEE/CVF Conference on ComputerVision and Pattern Recognition (CVPR), Virtual, June 19, 2021. (CCF-A类)

[12] Wen Shen#, Zhihua Wei#, Shikun Huang, Binbin Zhang, Jiaqi Fan,Ping Zhao, and Quanshi Zhang*. InterpretableCompositional Convolutional Neural Networks, Proceedings ofInternational Joint Conference on Artificial Intelligence (IJCAI), Virtual, August23, 2021 (CCF-A类)

[13] Wen Shen, ZhihuaWei*, Qianwen Li, Hongyun Zhang, Duoqian Miao. Three-WayDecisions Based Blocking Reduction Models in Hierarchical Classification,Information Sciences, vol. 523, no. 2020, pp. 63-76, February 10, 2020. (JCR1区)

[14] Ling Tang#, Wen Shen#, Zhanpeng Zhou, Yuefeng Chen and Quanshi Zhang*; Defectsof Convolutional Decoder Networks in Frequency Representation, Fortieth International Conference on MachineLearning (ICML), Hawai, July 23, 2023 (CCF-A类)

[15] Zhanpeng Zhou#, WenShen#, Huixin Chen, Ling Tang, Yuefeng Chenand Quanshi Zhang*; BatchNormalization Is Blind to the First and Second Derivatives of the Loss, Thirty-Eighth AAAI Conference on ArtificialIntelligence (AAAI-24), Vancouver, February 20, 2024 (CCF-A类)

[16] Wen Shen#, Binbin Zhang#, Shikun Huang#,Zhihua Wei, and Quanshi Zhang*. 3D-Rotation-EquivariantQuaternion Neural Networks, Proceedings of European Conference onComputer Vision, Virtual (ECCV), August 23, 2020. (CCF-B类)

科研项目

1. 国家自然科学基金委员会, 面上项目, 62576249，2026-01-01 至 2029-12-31, 50万元， 在研，主持

2. 上海市新一代信息技术青年计划项目，25511102900，2025-12-01 至2026-11-30，50万元，在研，主持

3. 国家自然科学基金委员会, 青年科学基金项目, 62206170 , 2023-01-01 至 2025-12-31, 30万元, 结题, 主持

4. 中国博士后科学基金会，博士后基金面上项目，2023M732224，2023-08-02 至 2024-01-31，8万元，结题，主持