黄晋，男，1982年03月生，工学博士，硕士生导师，讲师。2004年7月毕业于华中科技大学计算机系，获工学学士学位；2007年7月毕业于华中科技大学计算机系，获工学硕士学位；2012年7月毕业于华中科技大学大学某某系，获工学博士学位；2012年-2016年，工作于中船重工709研究所；2016至今，工作于武汉纺织大学。
邮箱：derick0320@foxmail.com
1.主要研究方向
机器学习、计算机视觉、计算机图形学、医学人工智能、医学图像处理。
2.教学、科研项目
教育部协同育人，“基于互联网课程平台的《编译原理》教学内容改革”，2022-2024，5万元，主持；
湖北省自然科学基金，“嵌入式实时虚拟化研究”，No.BZY14029，2014.10-2015.12，参与；
武汉光电国家实验室开放课题，“Docker模式深度学习技术在全脑三维数字重建中的应用研究”，2018WNLOKF027，2018-2020，20万元, 参与；
校基金，“基于信息融合理论的Web图像多模检索研究”，2017年，主持；
横向项目，“人脸识别关键算法开发”，2022年，经费15万，主持；
横向项目，“道路破损检测算法开发”，2021年，经费6万，主持；
3.论文与专利
[1]Zhu, Jianlin;Huang, Jin*; Zhou, Daicui; Yin, Zhongbao; Zhang, Guoping; He, Qiang; Software Architecture Recovery through Similarity-Based Graph Clustering, IJSEKE. 2013 (SCI)
[2]Jianlin Zhu,Jin Huang*, Daicui Zhou, Federico Carminati, Guoping Zhang, Qiang He, Identifying composite crosscutting concerns through semi-supervised learning, SPE, 2014 (SCI)
[3]黄晋,朱剑林,卢炎生.基于图聚类的组合横切关注方面挖掘方法,华中科技大学学报（自然科学版）, 2015.
[4]Wu, Xinglong; Tao, Yuhang; He, Guangzhi; Liu, Dun; Fan, Meiling; Yang, Shuo; Gong, Hui; Xiao, Rong; Chen, Shangbin;Huang, Jin* ; Boosting Multilabel Semantic Segmentation for Somata and Vessels in Mouse Brain, Frontiers in Neuroscience, 2021, 15(1): 1-13 (SCI)
[5]Wu, Xinglong; Chen, Shangbin;Huang, Jin*; Li, Anan; Xiao, Rong; Cui, Xinwu ; DDeep3M: Doc ker-powered deep learning for biomedical image segmentation, Journal of Neuroscience Methods, 2020, 342: 0-108804 (SCI)
[6]Jin Huang; Ruhan He; Jia Chen; Song Li; Yuqin Deng; Xinglong Wu ; Boosting Advanced Nasopharyngeal Carcinoma Stage Prediction Using a Two-Stage Classification Framework Based on Deep Learning, International Journal of Computational Intelligence Systems, 2021, 14(184): 184-196 (SCI)
[7]Song Li, Yuqin Deng, Hong-Li Hua, Sheng-Lan Li, Xi-Xiang Chen, B. Xie, Zhiling Zhu, Ruoyun Liu,Jin Huang*, Z. Tao; Deep learning for locally advanced nasopharyngeal carcinoma prognostication based on pre- and post-treatment MRI ,Computer Methods and Programs in Biomedicine , 2022 (SCI)
[8]余晓鹏;何儒汉;黄晋*;张俊杰;胡新荣;基于改进Inception结构的知识图谱嵌入模型,计算机应用, 2021, 1(1): 1-8 (北大核心)
[9]Jia Chen, Zhenpeng Fu,Jin Huang*, Xinrong Hu and Tao Peng; Boosting Vision Transformer for Low-resolution Borehole Image Stitching through Algebraic Multigrid. Visual Computer, 2022 (SCI)
[10]Sikai Wang, Jin Yang, Deng Chen,Jin Huang*, Yanduo Zhang, Wei Liu, Zhaohui Zheng and Yanan Li; LiteCortexNet: Towards Efficient Object Detection at Night. Visual Computer, 2022 (SCI)
[11]Xinrong Hu, Junyu Zhang,Jin Huang*, Jinxing Liang, Feng Yu and Tao Peng; Virtual try-on based on attention U-Net. Visual Computer, 2022 (SCI)
[12]Jia Chen, Xinzhou Chen,Jin Huang*, Xinrong Hu and Tao Peng; Few-shot detection method based on an enhanced prototype for outdoor forbidden object detection. CGI 2022. (CCF C)
[13]Han Zhang, Mengsi Guo, Wenqing Zhao, Jin Huang, Ziyao Meng, Ping Lu and Bin Sheng; Indoor Navigation Using AR-Core extension, CGI 2022. (CCF C)
[14]Bin Shen, Li Li, Xinrong Hu, Shengyi Guo,Jin Huang* and Zhiyao Liang; A Point Cloud Upsampling Adversarial Network Based on Residual Multi-Scale Off-Set Attention, CGI 2022. (CCF C)
[15]Xinrong Hu, Cheng Zheng, Ruiqi Luo, Jin Huang, Li Li, Tao Peng and Ping Li; H3DVT: Highly Realistic 3D Virtual Try-On Based on Multi-Resolution Parallel Parse, CGI 2022. (CCF C)
[16]Wenqing Zhao, Mengsi Guo,Jin Huang*, Xiaochen Yuan, Younhyun Jung, Ping Li and Pan Li; GAN-based Multi-Decomposition Photo Cartoonization, CGI 2022(VRIH), (CCF C, EI)
[17]Mengsi Guo, Wenqing Zhao,Jin Huang*, Subrota Kumar Mondal, Pan Li, Dagan Feng, Jinman Kim and Bin Sheng, Face Photo-Sketch Portraits Transform via Generation Pipeline based GANs, CGI 2022(VRIH), (CCF C, EI)
4.个人荣誉和指导学生获奖
“大学生创新创业大赛”，湖北省级，第一指导老师，2019年
“大学生创新创业大赛”，湖北省级，第一指导老师，2021年