个人简历

· 研究员、助理教授、博士生导师

· 北京大学医学技术研究院
北京大学国家生物医学成像科学中心（兼）

· 个人简介

主要从事信息科学与生物医学交叉领域中人工智能、机器视觉与多模态医学影像技术的研究工作，聚焦于不完备监督条件下学习策略、鲁棒可解释模型与归因方法、以及多模态大模型与生成式人工智能等研究方向，以多模态跨尺度生物医学信息与图像处理、分析及可视化为主要应用方向。相关工作发表在人工智能（TPAMI、TNNLS）、机器视觉（IJCV）、医学成像（TMI、MedIA）、核医学（JNM）等领域的顶级期刊以及CVPR、ICCV、ICLR、NeurIPS、AAAI、ECCV等计算机领域顶级会议；获得专利授权20余项，有6项专利被产业转化。

· 所授课程

《模式识别与人工智能》 （医学技术本科专业必修，36学时，2学分）
《计算概论》（医学技术本科专业必修，54学时，2.5学分）
《程序设计》 （医学技术本科专业必修，72学时，3学分）

· 获奖及荣誉

教育部“长江学者奖励计划”青年学者

北京大学医学部教学优秀奖

北京大学招生先进个人

北京大学本科生科研训练优秀指导教师

· 个人履历

2022.03–今 北京大学医学技术研究院 研究员/助理教授
2021.04 – 2022.02 北京大学深圳研究生院 副研究员（兼聘）
2016.06 – 2022.02 德国埃尔朗根纽伦堡大学计算机系 博士后
2014.05 – 2018.12 德国西门子医疗AT事业部 研究科学家

· 教育背景

2014.03 – 2016.06 德国埃尔朗根纽伦堡大学计算机系 联合培养博士
2011.09 – 2016.06 北京大学生物医学工程系 博士

· 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

https://wiki.milab.wiki/