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沈雯于2022年毕业同济大学计算机科学与技术系，获得工学博士学位。现任同济大学计算机科学与技术学院助理教授，硕士生导师。曾任上海交通大学博士后研究员（2022.2-2024.3）。研究方向包括机器学习、计算机视觉、可解释性等，主要涉及可解释的人工智能算法、神经网络的表征能力分析与解释、表征问题分析等。已发表21篇学术论文，包含IEEET-PAMI、ICML、NeurIPS、CVPR等顶级期刊会议论文，主持了1项国家自然科学基金青年科学基金项目、1项中国博士后基金面上项目，曾参加国家重点研发计划项目、国家自然科学基金重大研究计划等5项国家项目。获得包括上海市计算机学会优秀博士学位论文提名奖、同济大学优秀博士学位论文奖等荣誉。
【代表性论文，仅展示可解释性方向】
符号“*”表示通讯作者,符号“#”表示共同一作。
[1] 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)
[2] 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)
[3] 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)
[4] 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)
[5] 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)
[6] 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)
[7] 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)
[8] 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)
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