个人简介
研究方向：自然图像处理、医学图像分析
教育及工作经历：
2021.06至今，深圳技术大学，健康与环境工程学院，助理教授；
2019.09——2021.05，香港科技大学，电子与计算机工程学系，博士后研究员；
2017.09——2018.01，伦敦大学学院，统计科学系，访问学者；
2014.09——2019.07，清华大学，信息与通信工程，工学博士；
2009.08——2014.07，清华大学，电子信息科学与技术，工学学士。
基金项目：
1、国家自然科学基金委员会,青年科学基金项目, 62301332,基于小波交叉注意力机制的单幅图像可变光圈散焦增强研究, 2024-01-01至2026-12-31, 30万元,在研,主持
2、深圳技术大学,新引进高端人才财政补助科研启动项目, GDRC202117,基于深度学习的乳腺癌患者生存风险预测与分析, 2022-01-01至2024-12-31, 270万元,在研,主持
3、国家自然科学基金委员会,面上项目, 62373259,基于双气囊稳定性增强的经支气管手术机器人自主介入机理与精准调控方法, 2024-01-01至2027-12-31, 50万元,在研,参与
4、香港科技创新署,创新及科技支援计划,ITS/480/18FP,利用图像数据和基因组数据预测乳腺癌治疗后的转移, 2019-08-01至2022-05-31, 700万元（港币）,已结题,参与
5、国家自然科学基金委员会,面上项目, 61771276,基于局部视图的超高分辨率RGB-D全景图像的融合与生成, 2018-01-01至2021-12-31, 62万元,已结题,参与
6、深圳市科技创新委员会,基础研究项目, JCYJ20140417115840272,基于全景视图和局部视图的超高清分辨率图像融合与生成, 2014-10-22至2016-10-22, 30万元,已结题,参与
学术论文：
主要从事自然图像和医学图像的分析和处理，具体研究方向包括多聚焦图像融合、单幅图像散焦估计及其应用、病理学组织切片图像分析、CT/MRI图像分析等。已发表论文16篇（其中第一作者或唯一通讯作者论文13篇），论文主要发表在IEEE TIP、IEEE TMM、Pattern Recognition、Pattern Recognition Letters、ICME、MICCAI、EMBC、ISBI等期刊或会议。部分论文如下（#为共同一作，*为通讯作者）：
1、Shaojun Liu, Fei Zhou* and Qingmin Liao, Defocus Map Estimation From a Single Image Based on Two-Parameter Defocus Model,IEEE Transactions on Image Processing(IF=4.828 for 2016), vol. 25, no. 12, pp. 5943-5956, December 2016. (SCI,中科院一区TOP, CCF-A)
2、Shaojun Liu, Qingmin Liao, Jing-Hao Xue and Fei Zhou*, Defocus Map Estimation From a Single Image Using Improved Likelihood Feature and Edge-Based Basis,Pattern Recognition(IF=7.740 for 2020), pp. 107485, November 2020. (SCI,中科院一区TOP, CCF-B)
3、Haoyu Ma#,Shaojun Liu#, Qingmin Liao*, Juncheng Zhang and Jing-Hao Xue, Defocus Image Deblurring Network with Defocus Map Estimation as Auxiliary Task,IEEE Transactions on Image Processing(IF=11.041 for 2021), vol. 31, pp. 216-226,December2021. (SCI,中科院一区TOP, CCF-A)
4、Haoyu Ma, Qingmin Liao, Juncheng Zhang,Shaojiu Liu* and Jing-Hao Xue, An alpha-Matte Boundary Defocus Model-Based Cascaded Network for Multi-Focus Image Fusion,IEEE Transactions on Image Processing(IF=10.856 for 2020), vol. 29, pp. 8668-8679, August 2020. (SCI,中科院一区TOP, CCF-A)
5、Juncheng Zhang, Qingmin Liao,Shaojun Liu*, Haoyu Ma, Wenming Yang and Jing-Hao Xue, Real-MFF: A large realistic multi-focus image dataset with ground truth,Pattern Recognition Letters(IF=3.756 for 2020), vol. 138, pp. 370-377, October 2020. (SCI,中科院三区,CCF-C)
6、Juncheng Zhang, Qingmin Liao, Haoyu Ma, Jing-Hao Xue, Wenming Yang andShaojun Liu*, Exploit the Best of Both End-to-End and Map-Based Methods for Multi-Focus Image Fusion,IEEE Transactions on Multimedia(IF=7.3 for now), vol. 26, pp. 6411-6423,January2024. (SCI,中科院一区TOP, CCF-B)
7、Haoyu Ma, Juncheng Zhang,Shaojun Liu* and Qingmin Liao, Boundary Aware Multi-focus Image Fusion Using Deep Neural Network,2019 IEEE International Conference on Multimedia and Expo (ICME), 2019, pp. 1150-1155. (EI, poster, CCF-B)
8、Kuayue Zhang, Qingmin Liao, Juncheng Zhang,Shaojun Liu*, Haoyu Ma and Jing-Hao Xue, EFRNet: A Lightweight Network with Efficient Feature Fusion and Refinement for Real-Time Semantic Segmentation,2021 IEEE International Conference on Multimedia and Expo (ICME), 2021. (EI, oral, CCF-B)
9、Yi Liu#, Juncheng Zhang#, Qingmin Liao, Haoyu Ma andShaojun Liu*, Feature Pyramid Boosting Network For Rendering Natural Bokeh,2022 IEEE International Conference on Multimedia and Expo (ICME), 2022. (EI, poster,CCF-B)
10、Shoujin Huang#, Jingyu Li#, Lifeng Mei, Tan Zhang, Ziran Chen, Yu Dong, Linzheng Dong,Shaojun Liu*and Mengye Lyu*,Accurate Multi-contrast MRI Super-Resolution via a Dual Cross-Attention Transformer Network,26thInternational Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI),2023, pp. 313-322. (EI, poster, CCF-B)
11、Tianzhao Zhong,Huaishui Yang, Jihao Li, Mengye Lyu andShaojun Liu*, WaveU3S: A Lightweight Wavelet Dual-Attention Unet for 3D Medical Image Segmentation,21stInternational Symposium on Biomedical Imaging (ISBI), 2024. (EI, poster, to appear)
12、Jincai Huang, Jianyuan Zeng, Jinfeng Peng, Mengye Lyu andShaojun Liu*, Endoscopic colorectal polyp detection based on improved YOLOv8,46thAnnual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2024. (EI, poster, to appear)
13、ShiyueYan#, Xiaoshi Qiu#, Qingmin Liao, Jing-Hao Xue andShaojun Liu*,Reschedule Diffusion-based Bokeh Rendering,33rdInternational Joint Conference on Artificial Intelligence(IJCAI), 2024. (EI, to appear, CCF-A)
专利：
1、刘少军,黄金财,曾健源,彭锦峰,一种基于改进YOLOv8与VGG19模型的内窥镜图像检测方法,CN202311352017.9,实质审查中
2、刘少军,王霁元,徐童,一种基于1D和2D跨维度双路并行的心电图信号分类方法,CN202311479478.2,实质审查中
3、刘少军,钟天兆,一种基于小波双注意力的轻量级3D医学图像分割方法,CN202410015380.X,申请中
学生获奖：
1、2023年指导2021级智能医学工程专业本科生黄金财、曾健源、彭锦峰获第八届全国大学生生物医学工程创新设计竞赛，获国赛二等奖
联系方式：
邮箱：liusj14@tsinghua.org.cn；liushaojun@sztu.edu.cn
Google Scholar主页：https://scholar.google.com/citations?user=u9cbGYQAAAAJ
ORCID主页：https://orcid.org/0000-0002-9201-9301
招聘信息：
欢迎对图像处理感兴趣的各类专业背景（电子信息、计算机、智能医学工程、自动化、生物医学工程等）本科生和研究生加入本课题组学习，实习和交换。
