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计算机学院，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
计算机图形学、医学人工智能、行业大语言模型、数值计算应用。
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，经费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，“行业大语言模型研发”，2024，经费24万元，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: Docker-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. The 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. The 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. The 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, Jianlin Zhu, Ping Li, Jin Huang, Junwei Tang; Attention mechanism-based generative adversarial networks for image cartoonization. The Visual Computer, 2024 (SCI)
[17] Wenqing Zhao, Wenqing Zhao, Jianlin Zhu, Jin Huang, Ping Li, Bin Sheng; GAN‐Based Multi‐Decomposition Photo Cartoonization. Computer Animation and Virtual Worlds, 2024 (SCI)
[18] Yunxi Chen, Yuanjie Cao, Fei Fang, Jin Huang*, Xinrong Hu, Ruhan He, and Junjie Zhang, SACANet : End-to-end Self-Attention-Based Network for 3D Clothing Animation. The Visual Computer, 2024 (SCI)
[19] Yongzhi Li，Pengle Zhang， Meng Sun， Jin Huang*， Ruhan He, Pre-training Transformer with Dual-branch Context Content Module for Table Detection in Document Images. VRIH, 2024 (EI Journal)
[20] Xinrong Hu, Chen Yang, Fei Fang, Jin Huang, Lei Zhu, Ping Li, Bin Sheng, and Tong-Yee Lee; MSEmbGAN: Multi-Stitch Embroidery Synthesis via Region-Aware Texture Generation, IEEE Transactions on Visualization and Computer Graphics (TVCG), 2024 (TOP, CCF A)
4.教科研奖励
“思政课程与课程思政”，武汉纺织大学，一等奖，2022年
5.个人荣誉和指导学生获奖
“华为ICT大赛”云赛道/网络赛道，省级奖若干，2022-2024年
“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