姓 名：路景枫

职称/职务：助理研究员

电子邮件：jingfeng.lu@scu.edu.cn

办公地点：江安校区多学科交叉研究创新大楼914室

个人主页：https://scholar.google.com/citations?hl=zh-CN&user=JlSJOXQAAAAJ&view_op=list_works&sortby=pubdate

研究方向：医学成像、生物特征识别、多模态模型及安全

个人简介

路景枫于哈尔滨工业大学先后获得工学学士、硕士与博士学位。2018年至2020年于法国里昂国立应用科学学院开展联合培养博士研究，2022年11月至今工作于四川大学网络空间安全学院。主要研究方向包括医学成像、生物特征识别、多模态模型及安全等人工智能与安全交叉领域。作为负责人主持国家自然科学基金青年基金项目、四川省自然科学基金青年基金项目等多项科研项目。以第一/通讯作者在IEEE TUFFC、IEEE TIM、IEEE JSTSP、MICCAI等权威学术期刊及会议发表高质量论文10余篇。受邀担任IEEE TMI、IEEE TUFFC、IEEE TUSON、IEEE TCSVT、Medical Image Analysis等权威期刊审稿人。

主持科研项目情况

[1] 国家自然科学基金青年基金，面向超快心脏成像的凸面波超声成像及其高时空分辨率重建方法研究，主持，62401381，2025.01-2027.12。

[2] 四川省自然科学基金青年基金，一种发散波超声多源信息驱动重建的快速心脏成像方法研究，主持，2026NSFSC1404，2026.01-2027.12。

[3] 四川省博士后科研特别资助基金，基于隐私保护的无监督超声成像视频重建方法研究，主持，TB2024074，2025.01-2026.12。

[4] 四川大学交叉学科创新启动基金，基于深度生成模型的高帧频超声成像方法研究，主持，JCXK2232，2023.01-2024.12。

l 代表性论文、专利、标准及著作

[1] Jingfeng Lu, Fabien Millioz, Damien Garcia, Sebastien Salles, Wanyu Liu, and Denis Friboulet. Reconstruction For Diverging-Wave Imaging Using Deep Convolutional Neural Networks[J]. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2020, 67(12): 2481-2492.

[2] Jingfeng Lu, Fabien Millioz, Damien Garcia, Sebastien Salles, Dong Ye, and Denis Friboulet. Complex Convolutional Neural Networks For Ultrafast Ultrasound Imaging Reconstruction from In-phase/Quadrature Signal[J]. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2022, 69(2): 592-603.

[3] Jingfeng Lu, Fabien Millioz, Olivier Bernard, François Varray, Damien Garcia, Jonathan Poree, Jean Provost, and Denis Friboulet. Ultrafast Cardiac Imaging Using Deep Learning For Speckle-Tracking Echocardiography[J]. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2023, 70(12): 1761–1772.

[4] Aohua Wang, Jingfeng Lu*, Ziyuan Yang, Wenzhuo Liang, Hua Zhuang, and Yi Zhang. Self-supervised Content-Consistent Contrast Enhancement Framework for Ultrafast Plane-Wave Imaging[J]. IEEE Transactions on Instrumentation and Measurement, 2024, 73: 1–12.

[5] Wenzhuo Liang, Jingfeng Lu*, Jie Jing, Hui Wang, Aohua Wang, and Yi Zhang, Unsupervised Semantic Constrained Denoising Framework for Ultrasound Plane-Wave Imaging[J]. IEEE Transactions on Instrumentation and Measurement, 2025, 74: 1–13.

[6] Maosong Ran, Ziyuan Yang, Tao Wang, Zhiwen Wang, Jingfeng Lu*, and Yi Zhang*. STAND-Net: Lightning-Fast MRI Reconstruction Via Stage-Aware Deep Unrolling With Neural Tensor Decomposition[J]. IEEE Journal of Selected Topics in Signal Processing, 2025, 19(8): 1930–1942.

[7] Jingfeng Lu, Fabien Millioz, Jonathan Poree, Jean Provost, and Yi Zhang. Ultrafast Echocardiography Based on Dynamic Subspace-Guided and Temporal Adaptive Diffusion[C]. International Conference on Medical Image Computing and Computer-Assisted Intervention, 2026.

[8] Aohua Wang, Jingfeng Lu*, and Yi Zhang, CAW-CL: Cascaded adaptive weighted contrastive learning for unsupervised ultrasound plane-wave image reconstruction[C]. IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2025, pp. 1–5.

[9] Jingfeng Lu, Aohua Wang, Wenzhuo Liang, Hua Zhuang, and Yi Zhang, Unsupervised Ultrafast Ultrasound Imaging Based on Decoupled Contrastive Learning[C].IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium, 2024：1-4.

[10] Jingfeng Lu, Fabien Millioz, Damien Garcia, Sebastien Salles, Dong Ye, and Denis Friboulet. Complex Convolutional Neural Networks For Fast Diverging Wave Imaging[C]. IEEE International Ultrasonics Symposium, 2020: 1-4.