袁进，理学博士、副教授、博士生导师。2008年，复旦大学计算机信息与技术系数据库专业毕业，获硕士学位；2013年，新加坡国立大学计算机学院多媒体专业毕业，获博士学位；2014年9月加入湖南大学信息科学与工程学院计算机工程系。

计算机视觉包括目标检测、目标跟踪，图像语义标注等；

多媒体信息检索包括图像搜索、视频搜索；

机器学习；

自动驾驶。

    本科生课程：人工智能，机器智能，多媒体技术

    研究生课程：人工智能导论

    留学生课程：Advanced Artificial Intelligence

1.   Guojin Zhong, Yihu Guo,  Jin Yuan*, Qianjun Zhang, Weili Guan, LongChen. PROMOTE: Prior-Guided Diffusion Model with Global-Local Contrastive Learning for Exemplar-Based Image Translation. ACM International Conference on Multimedia, 2024. (CCF-A)

2.      Zian Wang, Xianghui Liao, Jin Yuan*, You Yao, Zhiyong Li. CDC-YOLOFusion: Leveraging Cross-scale Dynamic Convolution Fusion for Visible-Infrared Object Detection. IEEE Transactions on IntelligentVehicles, 2024. (SCI一区) [code: https://github.com/Morph-3800/CDC_YOLOFusion]

3.      Zhiqiang Xiao, Jiacheng Lin, Jiajun Chen, Haolong Fu, Yifan Li, JinYuan*, and Zhiyong Li. Privacy Preservation Network with Global-aware Focal Loss for Interactive Personal Visual Privacy Preservation. Neurocomputing, 2024. (SCI二区)

4.   Haolong Fu, Jin Yuan*, Guojin Zhong, Xuan He, Jiacheng Lin, and Zhiyong Li. CF-Deformable DETR: an End-to-end Alignment-free Model for Weakly Aligned Visible-infrared Object Detection. International Joint Conference on Artificial Intelligence, 2024. (CCF-A) [code: https://github.com/116508/CF-Deformable-DETR]

5.    Haolong Fu, Hanhao Liu, Jin Yuan*, Xuan He,Jiacheng Lin, and Zhiyong Li. YOLO-Adaptor: A Fast Adaptive One-Stage Detectorfor Non-Aligned Visible-Infrared Object Detection. IEEE Transactions on Intelligent Vehicles, 2024. (SCI一区)

6.   Xuan He, Zian Wang, Jiacheng Lin, Ke Nai, Jin Yuan*, and Zhiyong Li. DO-SA&R: Distant Object Augmented Set Abstraction and Regression for Point-Based 3D ObjectDetection.IEEE Transactions on Image Processing, 2023. (CCF-A) [code: https://github.com/mikasa3lili/]

7.   Guojin Zhong, JinYuan*, Pan Wang, Kailun Yang, Weili Guan, Zhiyong Li. Contrast-augmented Diffusion Model with Fine-grained Sequence Alignment for Markup-to-Image Generation. ACM International Conference on Multimedia, 2023. (CCF-A) [code: https://github.com/zgj77/FSACDM]

8.    Jiacheng Lin, Xianwen Dai, Ke Nai, Jin Yuan*, Zhiyong Li, Xu Zhang, and Shutao Li. BRPPNet: Balanced privacy protection network for referringpersonal image privacy protection. Expert Systems with Applications, 2023. (SCI一区) [code: https://github.com/lab206/BRPPNet]

9.   He, Xuan, Jin Yuan*,Mengyao Li, Runmin Wang, Haidong Wang, and Zhiyong Li. A Text-Specific Domain Adaptive Network for Scene Text Detection in theWild. Applied Intelligence, 2023. (SCI二区) [code: https://github.com/mikasa3lili/]

10.   He, Xuan, Zhiyong Li, Jiacheng Lin, KeNai, Jin Yuan, Yifan Li, and Runmin Wang. Domain adaptive multigranularity proposalnetwork for text detection under extreme traffic scenes. ComputerVision and Image Understanding. (CCF-B) [code: https://github.com/mikasa3lili/]

11.   He, Xuan, Fan Yang, Jiacheng Lin, HaolongFu, Jin Yuan*, Kailun Yang, and Zhiyong Li. SSD-MonoDETR: Supervised Scale-aware Deformable Transformer for Monocular 3D Object Detection. IEEETransactions on Intelligent Vehicles, 2023. (SCI一区) [code: https://github.com/mikasa3lili/]

12.   Jin Yuan*, Shuai Zhu, Shuyin Huang, HanwangZhang, Yaoqiang Xiao, Zhiyong Li*, and Meng Wang, DiscriminativeStyle Learning for Cross-domain Image Captioning, IEEE Transactions on ImageProcessing, 2022, PP:1-14. (CCF-A)

13.   Handong Wang, Xuan He, Zhiyong Li*, Jin Yuan*,and Shutao Li, JDAN: Joint Detection and Association Network for Real-TimeOnline Multi-Object Tracking,ACM Transactions on Multimedia Computing,Communications, and Applications, 2022, Accepted. (CCF-B) 

14.   Haidong Wang, Zhiyong Li*, Ke Nai, Jin Yuan, ShutaoLi, Xianghua Li, BTN: Neuroanatomical aligning between visual object tracking indeep neural network and smooth pursuit inbrain. Neurocomputing 486: 16-26 (2022). (SCI二区)

15.   Zhiyong Li*，ChenmingHu, Ke Nai, Jin Yuan, Siamese target estimation networkwith AIoU loss for real-time visual tracking, Journal of Visual Communicationand Image Representation, 77(6), 2021. （CCF C）

16.   Zhiyong Li*，JingyiLv, Ying Chen, Jin Yuan, Person re-identification withpart prediction alignment, Computer Vision and Image Understanding, 205,2021.  (CCF B）

17.   Yaoqiang Xiao, Yi Li, Jin Yuan,History-based attention in seq2seq model for multi-label textclassification, Knowledge-Based Systems, 2021. (CCF C）

18.   Jin Yuan*，Lei Zhang，SongruiGuo，Yi Xiao，and Zhiyong Li, Image captioning with a joint attention mechanismby visual concept samples, ACM Transactions on Multimedia Computing,Communications, and Applications, 2020, 16(3). （CCF B）

19.   Zhihao Ye，GongyaoJiang， Ye Liu， Zhiyong Li, Jin Yuan* ， Document and Word Representations Generated by GraphConvolutional Network and BERT for Short Text Classification，European Conference on Artificial Intelligence 2020.（CCF B）

20.   Yiqiang Wu, Zhiyong Li, Ying Chen , Ke Nai , JinYuan*, Real-time traffic sign detection and classificationtowards real traffic scene. Multimedia Tools andApplications, 79(25), 18201-18219, 2020. （CCF C）

21.   Xianyi Zhu, Jin Yuan*, Yi Xiao, YanZheng, Zheng Qin, Stroke classification for sketch segmentation by fine-tuninga developmental vggnet16. Multimedia Tools and Applications, 79(45),33891-33906，2020. （CCF C）

22.   Jin Yuan*, Heng-Chang Xiong, Yi Xiao, Weili Guan, Meng Wang, Richang Hong,and ZhiYong Li, Gated CNN: Integrating multi-scale feature layers for objectdetection, Pattern Recognition, 105 (2019) 107-131. （CCF B）

23.   Jin Yuan*, Xingxing Hou, Yaoqiang Xiao, Da Cao and Liqiang Nie,Multi-Criteria Active Deep Learning for Image Classification. Journal ofKnowledge-based System, 2019,172: 86-94. （CCF C）

24.   Y. Chen, J. Yuan, Z. Y. Li, Y. Q. Wu, M.Nouioua, G. Q. Xie,“Person re-identification based on re-ranking withexpanded k-reciprocal nearest neighbors”, Journal of Visual Communication andImage Representation, volume 58,pp 486–494, 2019. （CCF C）

25.   Y. Zheng, X. Cao, Y. Xiao, X.Y. Zhu and J. Yuan*, “Joint residualpyramid for joint image super-resolution”, Journal of Visual Communication andImage Representation, volume 58, pp 53-62, 2019. （CCF C）

26.   Y. Xiao, C. Pan, Y. Zheng, X. Y. Zhu, Z. Qin, and J.Yuan, “ Gradient- Guided DCNN for Inverse Halftoning and ImageExpanding”, Asian Conference on Computer Vision 2018. （CCF C）

27.   J. Yuan, D. Xu, H. C. Xiong and Z. Y. Li, “A Novel Object TrackingAlgorithm based on Enhanced Perception Hash and Online Template Matching”, IEEEInternaltional Conference on Natural Computation, Fuzzy Systems and KnowledgeDiscovery, 2016.

28.   Jin Yuan*, Yiliang Zhao, Huangbo Luan, Meng Wang and Tatseng Chua. MemoryRecall based Video Search: Finding Videos You Have Seen Before based on YourMemory, ACM Transactions on Multimedia Computing, Communications, andApplications, 2014, 10(2). （CCF B）

29.   X. J. Zhao, J. Yuan, M. Wang, G. D. Li, R. C. Hong, Z. J. Li, T.–S. Chua, “Video recommendation over multiple information sources.” Journal onMultimedia System, volumn 19, page 3-15, 2013. （CCF C）

30.   J. Yuan, H. -B. Luan, D. J. Hou, H. Zhang, Y. -Tao Zheng, Z. –J. Zha, T.-S.Chua, “Video Browser Showdown by NUS.” ACM International Conference onMultimedia Modeling, page 642-645, 2012. （CCF C）

31.   X. J. Zhao, J. Yuan, R. C. Hong, M.Wang, Z. J. Li, T. -S. Chua, “On Video Recommendation over Social Network.“,ACM International Conference on Multimedia Modeling，page 149-160，2012. （CCF C）

32.   X. J. Zhao, J. Yuan, G. D. Li, T. -S. Chua.”Relationship Strength Estimation for Online Social Networks with the Study onFacebook”, Journal on Neurocomputing, volumn 95, page 89-97, 2012. （CCF C） 

33.   Jin Yuan, Zhengjun Zha, Yantao Zheng, Meng Wang, Xiangdong Zhou andTatseng Chua, Utilizing Related Samples to Enhance Interactive Concept-BasedVideo Search, IEEE Transactions on Multimedia 13(6): 1343-1355, 2011. （CCF B）

34.   Jin Yuan, Zhengjun Zha, Yantao Zheng, Meng Wang, Xiangdong Zhou andTatseng Chua, Learning Concept Bundles for Video Search with Complex Queries,ACM International Conference on Multimedia, 2011. （CCF A）

35.   X. J. Zhao, G. D. Li, M. Wang, J. Yuan, Z.-J Zha, Z. J. Li, T.-S Chua，“Integrating Rich Information for Video Recommendation withMulti-Task Rank Aggregation”, ACM International Conference on Multimedia, 2011. （CCF A）

36.   J. Yuan, Z. -J. Zha, Z. D. Zhao, X. D. Zhou, and T. -S. Chua,“Utilizing related samples to learn complex queries in interactiveconcept-based video search.” ACM International Conference on Image and VideoRetrieval, 2010. （CCF B）

37.   X. Y. Chen, J. Yuan, L. Q. Nie, Z. -J.Zha, S. C. Yan and T. -S. Chua, “TRECVID 2010 Known-item Search by NUS”,TRECVID Workshop, 2010.

横向项目

1.自动的车辆重定位技术，2022（主持）

2.多媒体智能检索技术,2022（主持）

3.模态有缺失环境下的跨膜台目标感知技术,2023（主持）

4.AI图像自动生成技术,2023（主持）

5.动态障碍物长时轨迹预测技术研究,2024（主持）

纵向项目

1.交互式可控图像描述迁移学习关键技术研究（主持，国家自然科学基金面上，2023-2026）

2.城市智能客车多模态协同感知与安全高效行驶关键技术研究（参与，国家自然科学基金，2022-2025）

3.边缘计算中异常检测及自适应网络控制研究（参与，国家自然科学基金，2020-2023）

4.面向光纤无线融合系统的混沌加密技术及其性能研究（参与，国家自然科学基金，2020-2023）

5.自动驾驶系统的CPS计算架构与视觉感知方法研究（参与，国家自然科学基金，2020-2023）

6.基于深度神经网络的交互式图像编辑与视频颜色编辑（参与，国家自然科学基金，2019-2021）

7.基于多模态数据融合的短视频信息检索及推荐方法研究（参与，国家自然科学基金，2019-2021）

8.面向微博的用户动态兴趣建模和智能推荐方法研究（参与，国家自然科学基金，2018-2020）

9.交互式cosplay动漫数字表演系统（主持，湖南省科技计划项目，2017-2019）

10.基于复杂查询类型的多媒体检索（主持，国家自然科学基金，2016-2018）

1．尚昊璞，李胜奇，王嘉淇，袁进，“盲人之窗-针对盲人的现实识别系统”，第八届“华为杯”中国大学生智能设计竞赛，一等奖，2018；

2．任晓凡，庞家强，李青青，袁进，“基于多摄像头的跨区域特定车辆检索系统”. 第七届“华为杯”中国大学生智能设计竞赛，一等奖，2017；

3．鲁信金，陈瑶，尹业荣,袁进，“车标识别系统”，第六届“华为杯”中国大学生智能设计竞赛，二等奖，2016；

4．袁进，“湖南大学2018年度创新创业优秀指导教师”，2018；

5．廖琨，黄淑茵，袁进，“Integrating local visual representation and feature information for vehicle re-identification”, ACM ICFEICT,2021, best paper。