雷一鸣，博士，副教授，硕士研究生导师。山东省泰山学者青年专家，青岛大学特聘教授。于2022年博士毕业于复旦大学计算机科学技术学院（现为计算与智能创新学院）。研究方向：机器学习/深度学习，计算机视觉，医学影像分析，可解释人工智能理论。MICS医学图像计算青年研讨会委员，上海市人工智能专委会委员。目前已在领域内相关顶级期刊和会议发表论文20余篇，包括Medical Image Analysis, IEEE TMI / TIP / TNNLS / JBHI / JAS, Pattern Recognition, NeurIPS, ICML, MICCAI, ICASSP, BIBM等。担任审稿人：NeurIPS, ICML, ICLR, AAAI, AISTATS, MICCAI, IEEE-TIP/TMI/TNNLS/TIV, IEEE Access, IEEE Intelligent Systems, CAAI Transactions on Intelligence Technology, 自动化学报，软件学报等。

研究方向

机器学习/深度学习，计算机视觉，医学影像分析，可解释人工智能理论。

工作经历

1. 副教授，青岛大学，2025.04至今;

2. 博士后，复旦大学，2022.01~2025.03.

科研项目

1. 中国博士后科学基金特别资助，2022.07~2024.12，结题，主持；

2. 国家自然科学基金（青年项目），2024.01~2026.12，在研，主持。

代表性论文(*通讯作者, †共一)

会议论文：

1. Xuqian Xue, Yiming Lei*, Qi Cai, Hongming Shan, Junping Zhang*. PROTOCOL: Partial Optimal Transport-enhanced Contrastive Learning for Imbalanced Multi-view Clustering. International Conference on Machine Learning (ICML), 2025, CCF A.

2. Yiming Lei, Zilong Li, Junping Zhang, Hongming Shan. Denoising Diffusion Path: Attribution Noise Reduction with An Auxiliary Diffusion Model. Advances in Neural Information Processing Systems (NeurIPS), 2024, CCF A.

3. Yiming Lei, Zilong Li, Yangyang Li, Junping Zhang, Hongming Shan. LICO: Explainable Models with Language-Image Consistency. Advances in Neural Information Processing Systems (NeurIPS), 2023, CCF A.

4. Yiming Lei, Zilong Li, Yan Shen, Junping Zhang, Hongming Shan. CLIP-Lung: TextualKnowledge-Guided Lung Nodule Malignancy Prediction. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023, CCF B.

5. Weiyi Yu, Yiming Lei*, Hongming Shan. FAN-Net: Fourier-Based Adaptive Normalization for Cross-Domain Stroke Lesion Segmentation. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023, CCF B.

6. Yiming Lei, Hongming Shan, Junping Zhang. Meta Ordinal Weighting Net for Improving Lung Nodule Classification. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021, CCF B.

7. Yiming Lei, Haiping Zhu, Junping Zhang, Hongming Shan. Meta Ordinal Regression Forest for Learning with Unsure Lung Nodules. The IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2020, CCF B.

期刊论文：

1. Yiming Lei, Zilong Li, Yangyang Li, Junping Zhang, Hongming Shan. CORE: Learning Consistent Ordinal REpresentations with Convex Optimization for Image Ordinal Estimation. Pattern Recognition, 2024, CCF B, 中科院一区.

2. Tao Chen, Chenhui Wang, Zhihao Chen, Yiming Lei*, Hongming Shan*. HiDiff: Hybrid Diffusion Framework for Medical Image Segmentation. IEEE Transactions on Medical Imaging (TMI), 2024, CCF B, 中科院一区.

3. Yiming Lei, Chuang Niu, Junping Zhang, Ge Wang, Hongming Shan. CT Image Denoising and Deblurring with Deep Learning: Current Status and Perspectives. IEEE Transactions on Radiation and Plasma Medical Sciences (TRPMS), 2024, 中科院二区.

4. Yiming Lei, Haiping Zhu, Junping Zhang, Hongming Shan. Meta Ordinal Regression Forest for Medical Image Classification with Ordinal Labels. IEEE/CAA Journal of Automatica Sinica (JAS), 2022, 中科院一区.

5. Yiming Lei, Junping Zhang, Hongming Shan. Strided Self-Supervised Low-Dose CT Denoising for Lung Nodule Classification. Phenomics, 2021, 中科院二区.

6. Xiaodong Guo†, Yiming Lei†, Peng He, Wenbing Zeng, Ran Yang, Yinjin Ma, Peng Feng, Qing Lyu, Ge Wang, and Hongming Shan. A Novel Ensemble Learning Method Based on Ordinal Regression for COVID-19 Diagnosis. Physics in Medicine and Biology, 2021, 中科院二区.

7. Yiming Lei, Yukun Tian, Hongming Shan, Junping Zhang, Ge Wang, Mannudeep K. Kalra. Shape and Margin-Aware Lung Nodule Classification in Low-Dose CT Images via Soft Activation Mapping. Medical Image Analysis, 2020, 中科院一区.

8. 汪坤, 雷一鸣，张军平. 基于双流步态网络的跨视角步态识别. 模式识别与人工智能, 2020, (CCF 中文B 类).

9. Yiming Lei, Ximei Zhao, Guodong Wang, Kexin Yu, Weidong Guo. A Novel Approach for Cirrhosis Recognition via Improved LBP Algorithm and Dictionary Learning. Biomedical Signal Processing and Control, 2017, 中科院二区.

专利

1. 雷一鸣, 张军平. 基于多切片CT 图像的肺结节分类和病灶定位方法。申请(专利) 号：ZL 2018 1 1255336.7，申请日期：2018-10-26，已授权，授权公告号：：CN 109523521 B，授权公告日：2022-12-20。

2. 单洪明, 雷一鸣, 张军平. 自监督和有监督联合训练的LDCT 图像去噪与分类方法。申请(专利) 号：ZL 2021 1 0686474.6，申请日期：2021-06-21，已授权，授权公告号：CN 113538260 B，授权公告日：2022-04-12。

3. 单洪明, 雷一鸣, 张军平. 一种面向深度有序回归模型的生成式特征有序正则化方法。申请(专利) 号：ZL 2022 1 0116188.0，申请日期：2022-01-28，已授权，授权公告号：CN 114494785 B，授权公告日：2025-07-08。

联系方式

leiyiming@qdu.edu.cn; ymlei@fudan.edu.cn；