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  • 办公地址：

    B242 ENN Engineering Building, Peking University
    234 Pathology Building, Peking University Health Science Center

  • 电子邮箱：

    yanye.lu@pku.edu.cn

  • 个人网页：

    https://wiki.milab.wiki

LU Yanye

  • Assistant Professor, Doctoral Advisor
  • Institute of Medical Technology, Peking University
    National Biomedical Imaging Center, Peking University
  • 个人简介
    Dr. Lu is mainly engaged in the research of artificial intelligence, machine vision and multimodal medical imaging technology in the interdisciplinary field of information science and biomedical engineering, focusing on learning strategies under limited supervised conditions, robust interpretable models and attribution methods, as well as multimodal large models and generative artificial intelligence, with multimodal and cross-scale biomedical information and image processing, analysis and visualization as the main application directions. The related work has been published in top journals in the fields of artificial intelligence (TPAMI, TNNLS), machine vision (IJCV), medical imaging (TMI, MedIA), nuclear medicine (JNM), as well as top conferences in the field of computer science such as CVPR, ICCV, ICLR, NeurIPS, AAAI, ECCV, etc. More than 20 patents have been authorized, and 6 patents have been transformed by the industry.
  • 所授课程
    Pattern Recognition and Artificial Intelligence (Compulsory, 36 hours, 2 credits)
    Introduction to Computing (Compulsory, 54 hours, 2.5 credits)
    Program Design (Compulsory, 72 hours, 3 credits)
  • 获奖及荣誉
    Youth Scholar of “Chang Jiang Scholars Program”
  • 个人履历
    2022.03-Present Assistant Professor, Institute of Medical Technology, Peking University
    2021.04-2022.02 Associate Research Professor (Adjunct), Peking University Shenzhen Graduate School
    2016.06-2022.02 Postdoctoral Fellow, University of Erlangen-Nuremberg, Germany
    2014.05-2018.12 Research Scientist, Siemens Healthineers - Advanced Therapies, Germany

  • 教育背景
    2014.03-2016.06 Ph. D. (joint training) University of Erlangen-Nuremberg, Germany
    2011.09-2016.06 Ph. D. Department of Biomedical Engineering, Peking University
  • 代表性论文及论著
    1. Lei Zhu#, Qi She, Qian Chen, Qiushi Ren, Yanye Lu*, "Boosting Weakly Supervised Object Localization and Segmentation With Domain Adaption," IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(12), 8680 - 8695 (2024).
    2. Lujia Jin#, Qing Guo, Shi Zhao, Lei Zhu, Qian Chen, Qiushi Ren, Yanye Lu*. “One-Pot Multi-Frame Denoising,” International Journal of Computer Vision 132, 515-536 (2024).
    3. Lei Zhu#, Qi She, Qian Chen, Xiangxi Meng, Mufeng Geng, Lujia Jin, Yibao Zhang, Qiushi Ren, Yanye Lu*, "Background-aware Classification Activation Map for Weakly Supervised Object Localization," IEEE Transactions on Pattern Analysis and Machine Intelligence 45(2), 14175-14191 (2023).
    4. Mengdi Gao#, Hongyang Jiang, Lei Zhu, Zhe Jiang, Mufeng Geng, Qiushi Ren, Yanye Lu*, "Discriminative Ensemble Meta-learning with Co-regularization for Rare Fundus Diseases Diagnosis," Medical Image Analysis 89, 102884 (2023).
    5. Mufeng Geng#, Xiangxi Meng, Lei Zhu, Zhe Jiang, Mengdi Gao, Zhiyu Huang, Bin Qiu, Yicheng Hu, Yibao Zhang, Qiushi Ren, Yanye Lu*, "Triplet Cross-Fusion Learning for Unpaired Image Denoising in Optical Coherence Tomography," IEEE Transactions on Medical Imaging 41(11), 3357-3372 (2022).
    6. Mufeng Geng#, Xiangxi Meng, Jiangyuan Yu, Lei Zhu, Lujia Jin, Zhe Jiang, Bin Qiu, Hui Li, Hanjing Kong, Jianmin Yuan, Kun Yang, Hongming Shan, Hongbin Han, Zhi Yang, Qiushi Ren, Yanye Lu*, "Content-Noise Complementary Learning for Medical Image Denoising," IEEE Transactions on Medical Imaging 41, 407-419 (2022).
    7. Zhe Jiang#, Zhiyu Huang, Bin Qiu, Xiangxi Meng, Yunfei You, Xi Liu, Mufeng Geng, Gangjun Liu, Chuanqing Zhou, Kun Yang, Andreas Maier, Qiushi Ren, Yanye Lu*. “Weakly Supervised Deep Learning Based Optical Coherence Tomography Angiography,” IEEE Transactions on Medical Imaging 40, 688-698 (2021).
    8. Mufeng Geng#, Zifeng Tian, Zhe Jiang, Yunfei You, Ximeng Feng, Yan Xia, Kun Yang, Qiushi Ren, Xiangxi Meng, Andreas Maier, Yanye Lu*, "PMS-GAN: Parallel Multi-Stream Generative Adversarial Network for Multi-Material Decomposition in Spectral Computed Tomography," IEEE Transactions on Medical Imaging 40, 571-584 (2021).
    9. Hangzhou He#, Lei Zhu, Xinliang Zhang, Shuang Zeng, Qian Chen, Yanye Lu*, "V2C-CBM: Building Concept Bottlenecks with Vision-to-Concept Tokenizer," Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2025), 39(3), 3401-3409.
    10. Jiakui Hu#, Lujia Jin, Zhengjian Yao, Yanye Lu*, "Universal Image Restoration Pre-training via Degradation Classification," International Conference on Learning Representations (ICLR 2025), Singapore (2025).
  • Publications – Full List：
    https://wiki.milab.wiki/display/~yanyelu/Yanye+Lu%27s+Publication+List