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MedIA、Neural Networks、IEEE TCBB、IEEE TMM、BSPC 以及 MICCAI, BIBM,ICPR 等国际权威期刊/会议上发表了多篇学术论文，同时也是 TNNLS、KBS、PR、Neurocomputing、JVCIR、MICCAI、ICME、IJCNN 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英语能力，对计算机视觉、人工智能、智能医学图像分析等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）

部分科研成果：

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, CCF-B)

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)

11) 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，(SCI-2区, IF: 5.076)

12) Su, J., Luo, Z., Wang, C., Lian, S., Lin, X., & Li, S. (2024). Reconstruct Incomplete Relation for Incomplete Modality Brain Tumor Segmentation. Neural Networks, (SCI-1区TOP期刊，IF: 6.0)

13) Li, L., Lian, S., Luo, Z., Wang, B., & Li, S. (2024) VCLlPSeg: Voxel-wise CLlP-Enhanced model for Semi-Supervised Medical lmage Segmentation In 2024 the 27th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) (领域顶会，CCF-B)

学术兼职：

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

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