黃晉，男，1982年03月生，工學博士，碩士生導師，講師。2004年7月畢業於華中科技大學k8凯发国际系，獲工學學士學位；2007年7月畢業於華中科技大學k8凯发国际系，獲工學碩士學位；2012年7月畢業於華中科技大學大學k8凯发国际學院，獲工學博士學位；2012年-2016年，工作於中船重工709研究所；2016至今，工作於武漢紡織大學。

郵箱：derick0320@foxmail.com

1.主要研究方向

k8凯发国际圖形學、醫學人工智能、行業大語言模型、數值計算應用。

2.教學、科研項目

教育部協同育人，「基於互聯網課程平台的《編譯原理》教學內容改革」，2022-2024，經費5萬元，主持；

湖北省自然科學基金，「嵌入式實時虛擬化研究」，No.BZY14029，2014.10-2015.12，參與；

武漢光電國家實驗室開放課題，「Docker模式深度學習技術在全腦三維數字重建中的應用研究」，2018WNLOKF027，2018-2020，20萬元, 參與；

校基金，「基於信息融合理論的Web圖像多模檢索研究」，2017年，主持；

橫向項目，「行業大語言模型研發」，2024，經費24萬元，主持；

橫向項目，「人臉識別關鍵算法開發」，2022年，經費15萬，主持；

橫向項目，「道路破損檢測算法開發」，2021年，經費6萬，主持；

3.論文與專利

[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] 黃晉,朱劍林,盧炎生. 基於圖聚類的組合橫切關注方面挖掘方法, 華中科技大學學報（自然科學版）, 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] 余曉鵬; 何儒漢; 黃晉*; 張俊傑; 胡新榮 ; 基於改進Inception結構的知識圖譜嵌入模型, k8凯发国际應用, 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.教科研獎勵

「思政課程與課程思政」，武漢紡織大學，一等獎，2022年

5.個人榮譽和指導學生獲獎

「華為ICT大賽」雲賽道/網絡賽道，省級獎若干，2022-2024年

「大學生創新創業大賽」，湖北省級，第一指導老師，2019年

「大學生創新創業大賽」，湖北省級，第一指導老師，2021年