师资队伍

连盛

来源:     发布日期:2022-04-21    浏览次数:

个人简介:

连盛,男,讲师,硕导,校聘副教授,2022年加入福建省网络计算与智能信息处理重点实验室。研究兴趣包括智能医学图像分析、计算机视觉、人工智能、机器学习等。曾在领域顶刊 MedIA 和 IEEE TCBB、IEEE TMM、BSPC、JVCIR等国际期刊以及领域顶会 MICCAI, BIBM  ICPR 等国际会议上发表了多篇学术论文,同时也是 TNNLS、KBSNeurocomputingJVCIRMICCAIICMEIJCNN 等国际权威期刊/会议的审稿人。教育背景如下:

2015.09~2021.12:厦门大学,信息学院,博士(硕博连读),导师:李绍滋教授

2019.12~2021.09:加拿大韦仕敦大学,联合培养博士,导师:李硕教授

2010.09~2014.06:华中科技大学,计算机学院,本科


招生信息:

目前硕士招生专业:计算机科学与技术、电子信息等。欢迎勤奋好学,具有良好编程能力和数学英语能力,对智能医学图像分析、计算机视觉、人工智能、机器学习感兴趣的研究生和本科生与我联系。

办公地址: 计算机与大数据学院2号楼409

联系邮箱:shenglian@fzu.edu.cn 


科研项目:

1)大数据场景下基于深度学习的行人再识别方法研究,国家自然科学基金项目,2019.01-2022.12,参与;

2)复杂交通监控场景下的车辆检测及细粒度分类方法研究,国家自然科学基金青年基金项目,2019.01-2021.12,参与;

3)感染性眼表疾病智能诊断系统,教育部“云数融合”基金,2017.5-2019.5,参与;

(4)先验知识引导的2.5D心外膜脂肪组织细粒度分割,福建省自然科学基金青年项目,2023-2026,主持 (2023J05117);

(5)融合帧间相关性的高效心外膜脂肪分割,福建省中青年教师教育科研项目,2023-2024,主持 (JAT220017)


科研成果:

1) Lian, S., Luo, Z., Feng, C., Li, S., & Li, S. (2021). APRIL: Anatomical Prior-guided ReInforcement Learning for Accurate Carotid Lumen Diameter and Intima media Thickness Measurement. Medical Image Analysis (MedIA). (SCI-1区Top期刊, IF:11.148)


2) Lian, S., Li, L., Lian, G., Xiao, X., Luo, Z., & Li, S. (2021). A global and local enhanced residual u-net for accurate retinal vessel segmentation. IEEE/ACM transactions on computational biology and bioinformatics (TCBB). (SCI-1区, CCF-B, IF: 3.015)


3) Lian, S., Li, L., Luo, Z., Zhong, Z., Wang, B., & Li, S. (2023). Learning multi-organ segmentation via partial- and mutual-prior from single-organ datasets. Biomedical Signal Processing and Control (BSPC). (SCI-2区, IF: 5.076)


4) Lian, S., Luo, Z., Zhong, Z., Lin, X., Su, S., & Li, S. (2018). Attention guided U-Net for accurate iris segmentation. Journal of Visual Communication and Image Representation (JVCIR). (SCI-2区, CCF-C, IF: 2.479)


5) Li, L.*, Lian, S.*, Luo, Z., Li, S., Wang, B., Li, S. Learning Consistency- and Discrepancy-Context for 2D Organ Segmentation. In 2021 the 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). (equal contribution, 领域顶会)


6) Yang, F., Zhong, Z., Luo, Z., Lian, S., & Li, S. (2019). Leveraging virtual and real person for unsupervised person re-identification. IEEE Transactions on Multimedia (TMM). (SCI-1区Top期刊, IF: 6.051)


7) Su, J., Luo, Z., Lian, S., Lin, D., & Li, S. (2024). Consistency learning with dynamic weighting and class-agnostic regularization for semi-supervised medical image segmentation. Biomedical Signal Processing and Control (BSPC). (SCI-2区, IF: 5.076)


8) Su, J., Luo, Z., Lian, S., Lin, D., & Li, S. (2024). Mutual learning with reliable pseudo label for semi-supervised medical image segmentation. Medical Image Analysis (MedIA), (SCI-1区Top期刊, IF:11.148)


9) Li, L., Lian, S., Luo, Z., Wang, B., & Li, S. (2024). Contour-aware consistency for semi-supervised medical image segmentation. Biomedical Signal Processing and Control (BSPC), (SCI-2区, IF: 5.076)


10)Niu, Y., Luo, Z., Lian, S., Li, L., Li, S., & Song, H. (2022). Symmetrical supervision with transformer for few-shot medical image segmentation. In 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (CCF-B)


学术兼职:


(1)Guest Editor for Bioengineering SI (IF: 5.046)

(2)Technical Committee (TC) for MILLAND-2023 (MICCAI workshop)



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