李培莹 (Peiying Li)
讲师,硕士生导师
邮箱: lipeiying@shu.edu.cn
上海大学计算机工程与科学学院
地址: 上海市宝山区上大路99号计算机大楼
研究方向:人工智能与医学交叉方向,涉及人工智能、生物信息学、计算机视觉等领域
个人资料图片

欢迎 2026 级硕士生联系,目前还有名额,请发送简历到 lipeiying@shu.edu.cn

Biography

2024年6月毕业于上海交通大学计算机科学与技术专业,获工学博士学位, 导师徐雷教授(IEEE Fellow)和涂仕奎副教授。 主要从事人工智能与医学交叉、具身智能领域研究,融合深度学习、医学影像分析、生物信息学与目标导航技术,主要研究内容包括:

  • 颅内动脉瘤影像智能检测、分割与破裂风险预测
  • 蛋白质结合位点识别及 AI 辅助药物设计
  • 具身智能与机器人目标导航技术研究
Publications
  • Jiafeng Zhou#, Peiying Li#, Yongchang Liu#, Shikui Tu*, Bing Zhao, Jieqing Wan, Yongchun Chen, Yunjun Yang, and Lei Xu. "GN-Net: A Geometric and Neighborhood-aware Network for Predicting Intracranial Aneurysm Rupture Risk and Assisting Clinical Decision-Making", Interdisciplinary Sciences: Computational Life Sciences, 2025. (# Co-first author) [JCR Q1期刊]
  • Peiying Li, Yongchang Liu, Jiafeng Zhou, Shikui Tu*, Bing Zhao, Jieqing Wan, Yunjun Yang*, and Lei Xu*. "A deep learning method for end-to-end prediction of intracranial aneurysm rupture risk", Patterns 4, 100709, May 12, 2023. [Cell 子刊]
  • Peiying Li, Yongchang Liu, Shikui Tu*, and Lei Xu*. "GLPocket: A Multi-Scale Representation Learning Approach for Protein Binding Site Prediction", in Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI), Main Track, Pages 4821-4828, 2023. [CCF-A会议]
  • Yongchang Liu#, Peiying Li#, Shikui Tu*, and Lei Xu*. "RefinePocket: An Attention-Enhanced and Mask-Guided Deep Learning Approach for Protein Binding Site Prediction", in IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), vol. 20, no. 5, pp. 3314-3321, 1 Sept.-Oct. 2023. (# Co-first author) [JCR Q1期刊]
  • Yongchang Liu, Peiying Li, Shikui Tu*, and Lei Xu*. "PEST: A General-Purpose Protein Embedding Model for Homology Search", in IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2023. [JCR Q1期刊]
  • Peiying Li, Boheng Cao, Shikui Tu*, and Lei Xu*. "RecurPocket: Recurrent Lmser Network with Gating Mechanism for Protein Binding Site Detection", in IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 334-339, 2022. [CCF-B会议]
  • Peiying Li, Shikui Tu*, and Lei Xu*. "Deep Rival Penalized Competitive Learning for Low-resolution Face Recognition", Neural Networks, vol. 148, pp. 183-193, April 2022. [JCR Q1期刊]
  • Peiying Li, Shikui Tu, and Lei Xu. "GAN Flexible Lmser for Super-resolution", in ACM International Conference on Multimedia (MM), pp. 756-764, 2019. [CCF-A会议]