个人简介：

连盛，男，讲师，硕导，校聘副研究员，福建省高层次人才。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、Brain、CIBM、IEEE TCBB、IEEE TMM、BSPC、Remote Sensing 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 IEEE TNNLS、MedIA、IEEE TMI、KBS、PR、MICCAI、IEEE TGRS、IEEE TCSVT、IEEE CIM等国际权威期刊/会议的审稿人。主持或参与国家自然科学基金青年项目、国家自然科学基金面上项目、教育部基金、福建省自然科学基金等多个项目。获“扬腾奖教金”优秀教师、“最佳一堂课”二等奖等称号/奖项。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（保研或考研）： 计算机科学与技术081200、计算机技术085404、软件工程085405、人工智能085410等。

欢迎勤奋好学，自驱力强，具有良好编程能力和数学英语能力，对计算机视觉、人工智能、智能医学图像分析、机器学习、遥感图像分析、分子性质预测等方向感兴趣的研究生和本科生与我联系。期待你的加入！

办公地址： 计算机与大数据学院4号楼130。

联系邮箱：shenglian[at]fzu.edu.cn

科研项目：

（1）国家自然科学基金青年项目，融合双重文本提示和不确定性感知的心外膜脂肪组织半监督分割方法研究，2026.01-2028.12, 主持 (62501160)

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

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

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

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

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

研究生指导：

学生奖项： 袁**,李**，林**等多位指导研究生获得校学业奖学金。

毕业学生去向： 林**：北京国家电科  袁**：宁波招银   李**：北京滴滴   潘**：福州中信银行

部分科研成果：

谷歌学术个人主页： https://scholar.google.com/citations?user=tWFKN-oAAAAJ&hl

（*为通讯作者）

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-1区, IF: 5.076)

4) Zheng F, Lin Y, Qiu L, ..., Lian, S.*, Wang, Z.*. (2024) Age at onset mediates genetic impact on disease severity in facioscapulohumeral muscular dystrophy[J]. Brain, (SCI-1区Top期刊, IF: 14.5)

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, CCF-A, IF: 6.051)

7) Wen Q., He J., Wei X., Lian S.*, et al. (2026) EUTNet: Edge Uncertainty-Aware Consistency and topology-constrained semi-supervised medical image segmentation[J]. Biomedical Signal Processing and Control (BSPC), (SCI-1区, IF: 5.076)

8) Lin, Z., Li, Z., Su, J., Li, L., Lian, S.*.(2025) Enhancing semi-supervised medical image segmentation with boundary awareness and Competitive Contrastive Learning[J]. Biomedical Signal Processing and Control (BSPC), (SCI-1区, IF: 5.076)

9）Li, Z., Lian, S.*, Pan, D., Wang, Y., Liu, W. (2025) AD-Det: Boosting Object Detection in UAV Images with Focused Small Objects and Balanced Tail Classes [J]. Remote Sensing, (SCI-1区, IF: 4.2)

10）Wei X., Lian S.*, Chen W., Zhong H., Chen J., Xu H. (2026) CoDiff: Towards Reliable Pseudo-Labels via Collaborative Difference Learning for Semi-Supervised Medical Image Segmentation[C]. IEEE International Conference on Multimedia & Expo, ACCEPTED (ICME 2026). (CCF-B, 福大“卓越期刊”)

11) Xu H., Lian S.*, Wang Y., Chen J., Liu J., Li L. (2026) PromptFix: Anatomy-Aware Text Prompting for Semi-Supervised Lumbar MRI Segmentation [C]. IEEE International Conference on Multimedia & Expo, ACCEPTED (ICME 2026). (CCF-B, 福大 “卓越期刊”)

12) 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-1区, IF: 5.076)

13) 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)

14) 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-1区, IF: 5.076)

15) 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)

16) 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)

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

18) Yuan, Q., Su, Q., Li, Z.,Wen,Q., Lin, Z., Chai, D., & Lian, S.* (2024). Automatic Epicardial Adipose Tissue Segmentation in Cardiac CT with Position Regularization. Proceedings of the 20th International Conference on Intelligent Computing (ICIC). (CCF-C)

19) Lian, S.*, & Luo, Z. (2024). Cutting-Edge Machine Learning in Biomedical Image Analysis: Editorial for Bioengineering SI. Bioengineering. (SCI-2区，IF:4.6)

20) He, J., Luo, Z., Lian, S., Su, S., & Li, S. (2024). Towards accurate abdominal tumor segmentation: A 2D model with Position-Aware and Key Slice Feature Sharing. Computers in Biology and Medicine. (SCI-1区，IF: 7.0)

21）Lian S*, Yuan Q, Su Q, et al. (2025) Fine-grained epicardial adipose tissue segmentation in cardiac CT images with position priors and edge enhancement[J]. Biomedical Engineering Letters, (SCI-3区, IF: 2.8)

22) Cai J., Lian S.*, et al.(2025)Advancing Fine-Grained Spine Segmentation through Visual-Language Model with Omni- and Pixel-Level Semantic Enhancements[C]. PRCV (CCF-C)

23) 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)

学术兼职：

(1) 医学图像计算青年研讨会（MICS）委员

(2) IEEE Member

(3) 中国计算机学会（CCF）计算机视觉/数字医学专委会委员

(4) Guest Editor for Bioengineering, Mathematics

(5) Youth Editorial Board member for Meta-Radiology

(6) PC for BIBM25 (CCF-B)