基本信息
l 职称：教授（硕士生导师）
l 研究方向：机器学习、计算机视觉、医学图像分析
l 电子邮箱：yuqian@sdwu.edu.cn
个人简介
于谦,工学博士,山东女子学院人工智能学院教授, 硕士生导师。长期从事机器学习和计算机视觉方面的教学研究与开发工作。近年来在IEEE Trans. Image Processing、IEEE Trans. Medical Image、Pattern Recognition和CVPR、MICCAI、《计算机学报》、《软件学报》及《计算机辅助设计与图形学学报》等国内外重要期刊和会议上发表学术论文10余篇,主持省部级课题2项、厅局级课题多项，获济南市优秀自然科学学术成果奖一等奖1项，2022年被评为济南市优秀科技工作者。连续多年担任International Conference on Graphics and Image Processing（ICGIP）学术委员会委员和审稿人,并担任《软件学报》、IEEE TIP、IEEE JBHI、IEEE TNNLS和MICCAI等期刊和会议审稿人。是山东省一流课程《程序设计基础》团队成员，指导学生参加ACM大赛、中国大学生计算机设计大赛、山东省数字媒体大赛等专业竞赛,获得国家奖4项、省级奖多项。
主持和参加的科研项目
l 山东省自然科学基金面上项目，《深度无监督领域自适应医学图像分割关键技术研究》，2023/01-2025/12，主持；
l 浙江大学计算机辅助设计与图形系统全国重点实验室项目，《无源无监督领域自适应在医学图像分割中的应用研究》，2023/10-2025/12，主持；
l 多模态影像数据分析平台，横向课题，51万，2024/10-2025/10，主持。
主要学术成果
l Qian Yu, Lei Qi, Yang Gao, Wuzhang Wang, Yinghuan Shi, "Crosslink-Net: Double-branch Encoder Network via Fusing Vertical and Horizontal Convolutions for Medical Image Segmentation," IEEE Transactions on Image Processing, 2022, vol. 31, no. 9, pp. 5893-5908.
l Qian Yu, Yinghuan Shi, Yefeng Zheng, Yang Gao, Jianbin Zhu, Yakang Dai, "Crossover-Net: Leveraging the Vertical-Horizontal Crossover Relation for Robust Segmentation," Pattern Recognition, 2021, vol. 113, no. 5, pp. 107756.
l Qian Yu, Yinghuan Shi, Jinquan Sun, Yang Gao, Jianbin Zhu, Yakang Dai, "Crossbar-Net: A Novel Convolutional Neural Network for Kidney Tumor Segmentation in CT Images," IEEE Transactions on Image Processing, 2019, vol. 28, no. 8, pp. 4060-4074.
l Qinghe Ma, Jian Zhang, Lei Qi, Qian Yu, Wenkui Yu, Yang Gao, Yinghuan Shi, Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation, CVPR 2024. (CCF-A类).
l Muyang Qiu, Jian Zhang, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao. "?The Devil is in the Statistics: Mitigating and Exploiting Statistics Difference for Generalizable Semi-supervised Medical Image Segmentation."European Conference on Computer Vision (ECCV), 2024
l Heng Cai, Shumeng Li, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao, "Orthogonal Annotation Benefits Barely-supervised Medical Image Segmentation," CVPR2023.
l Heng Cai, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao, "3D Medical Image Segmentation with Sparse Annotation via Cross-Teaching between 3D and 2D Networks," MICCAI2023.
l Shumeng Li, Heng Cai, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao, "PLN: Parasitic-Like Network for Barely Supervised Medical Image Segmentation," IEEE Transactions on Medical Imaging, 2023, vol. 42, no. 3, pp. 582-593.
l Xiaoting Han, Lei Qi, Qian Yu , Yinghuan Shi, Yang Gao, "Deep Symmetric Adaptation Network for Cross-modality Medical Image Segmentation," IEEE Transactions on Medical Imaging, 2021, vol. 41, no. 1, pp121-132.
l Yinghuan Shi, Jian Zhang, Tong Ling, Jiwen Lu, Yefeng Zheng, Qian Yu, Lei Qi, Yang Gao. "Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical Image Segmentation," IEEE Transactions on Medical Imaging, 2022, vol. 41, no. 3, pp. 608-620.
l Ling Lin, Qian Yu, "Feature-Selected and -Preserved Sampling for High- Dimensional Stream Data Summary," ICTAI2019.
l 于谦,张彩明, "在三角域上构造三次多项式插值曲面, "计算机辅助设计与图形学学报, 2017, vol. 29, no. 5, pp.868-873.
l 于谦,高阳,霍静,庄韫恺, "视频人脸识别中判别性联合多流形分析,"软件学报,2015,vol.26, no. 11, pp.2897-2911.
l 于谦,李缨,张彩明, "基于切向约束构造复合二次B样条插值曲线,"计算机学报,2014, vol. 37, no. 6, pp.1342-1351.
奖励与荣誉
l 2021年，济南市优秀自然科学学术成果奖一等奖
l 2022年，济南市优秀科技工作者
l 2023年，济南市优秀自然科学学术成果奖二等奖
学术与社会服务
l 中国计算机学会会员
l 人工智能学会会员
