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.         Kang Zeng，Guojin Zhong，Jintao Cheng， Jin Yuan*，Zhiyong Li ，AVAM: a UniversalTraining-free Adaptive Visual Anchoring Embedded into Multimodal Large LanguageModel for Multi-image Question Answering， ICCV，2025（CCF A）

2.        Jinhong Hu, GuojinZhong, Jin Yuan*, Wenbo Pan, XiaopingWang, MCT-CCDiff:Context-aware Contrastive Diffusion model withMediator-bridging Cross-modalTransformer for Image Change Captioning, IEEE Transactions on Image Processing(T-IP), 2025. （CCF A）

3.        Guojin Zhong,  Pan Wang, JinYuan*, Zhiyong Li, Long Chen, Multi-Resolution DecomposableDiffusion Model for Non-Stationary Time Series Anomaly Detection, ICLR, 2025. (CAAI A)

4.        Guojin Zhong, Jinhong Hu, Jiajun Chen, Jin Yuan*,Wenbo Pan. DECIDER: Difference-aware Constrastive Diffusion Model withAdversarial Perturbations for Image Change Captioning, AAAI, 2025. （CCF A）

5.        Xu Zhang, Jin Yuan*, Hanwang Zhang , GuojinZhong, Yongsheng Zang, Jiacheng Lin , Zhiyong Li*. SGDiff: Scene Graph GuidedDiffusion Model for Image Collaborative SegCaptioning, AAAI, 2025.（CCF A）

6.        Xu Zhang, Kailun Yang,Jiacheng Lin, Jin Yuan*,Zhiyong Li, and Shutao Li. PVPUFormer: Probabilistic Visual Prompt UniffedTransformer for Interactive Image Segmentation, IEEETransactions on Image Processing, VOL.33, 2024.（CCF A）

7.        Guojin Zhong, Yifu Guo,  JinYuan*,Qianjun Zhang, Weili Guan, Long Chen. PROMOTE:Prior-Guided DiffusionModel with Global-Local Contrastive Learning for Exemplar-Based ImageTranslation, ACM International Conference on Multimedia,2024. （CCF A）

8.        Zian Wang , Xianghui Liao , Jin Yuan* ,You Yao , Zhiyong Li, CDC-YOLOFusion: Leveraging Cross-scale DynamicConvolution Fusion for Visible-Infrared Object Detection, in IEEE Transactionson IntelligentVehicles,2024. (SCI一区) 代码:  https://github.com/Morph-3800/CDC_YOLOFusion

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

10.    HaolongFu, Jin Yuan*,etc. CF-Deformable DETR: an End-to-endAlignment-free Model for Weakly Aligned Visible-infrared Object Detection[C].International Joint Conference on Artificial Intelligence，2024. （CCF A）

11.    Haolong Fu, Hanhao Liu, JinYuan*,Xuan He, Jiacheng Lin, and Zhiyong Li,YOLO-Adaptor: A Fast Adaptive One-StageDetector for Non-Aligned Visible-Infrared Object Detection, IEEE Transactionson Intelligent Vehicles, 2024.（SCI一区） 

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

13.    Guojin Zhong, JinYuan*,Pan Wang, Kailun Yang, Weili Guan, Zhiyong Li. Contrast-augmented DiffusionModel with Fine-grained Sequence Alignment for Markup-to-Image Generation, ACMInternational Conference on Multimedia,2023. （CCF A）代码：https://github.com/zgj77/FSACDM

14.    Lin, Jiacheng, Dai, Xianwen, Nai, Ke, Yuan, Jin*,Li,Zhiyong, Zhang, Xu, and Li, Shutao . " BRPPNet: Balanced privacy protectionnetwork for referring personal image privacy protection". Expert Systemswith Applications, 233 (2023): 120960.（SCI一区）代码：https://github.com/lab206/BRPPNet

15.    He, Xuan, Jin Yuan*,Mengyao Li, Runmin Wang, Haidong Wang, and Zhiyong Li. "A Text-SpecificDomain Adaptive Network for Scene Text Detection in theWild." Applied Intelligence (2023):1-13.（SCI二区）代码：https://github.com/mikasa3lili/

16.    He, Xuan, Zhiyong Li, JiachengLin, KeNai, Jin Yuan, Yifan Li, and Runmin Wang." Domainadaptive multigranularity proposal network for text detection under extremetraffic scenes." Computer Vision and Image Understanding 233(2023): 103709.（CCF B）代码：https://github.com/mikasa3lili/

17.    He, Xuan, Fan Yang, Jiacheng Lin,HaolongFu, Jin Yuan*, Kailun Yang, and ZhiyongLi."SSD-MonoDETR: Supervised Scale-aware Deformable Transformer forMonocular3D Object Detection," in IEEE Transactions on IntelligentVehicles,2023.（SCI一区）代码：https://github.com/mikasa3lili/

18.    Jin Yuan*, Shuai Zhu, Shuyin Huang, Hanwang Zhang, YaoqiangXiao, Zhiyong Li*, and Meng Wang, Discriminative Style Learning forCross-domain Image Captioning, IEEE Transactions on Image Processing,2022,PP:1-14.（CCF A）

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

20.    Haidong Wang, Zhiyong Li*, Ke Nai, Jin Yuan, ShutaoLi, XianghuaLi, BTN: Neuroanatomical aligningbetween visual object tracking in deep neural network and smooth pursuit in brain. Neurocomputing 486: 16-26 (2022). (SCI 二区)

21.    Zhiyong Li*，ChenmingHu, Ke Nai, Jin Yuan, Siamese target estimation network withAIoU loss for real-time visual tracking, Journal of Visual Communication andImage Representation, 77(6), 2021. （CCF C）

22.    Zhiyong Li*，JingyiLv, Ying Chen, Jin Yuan, Person re-identification with partprediction alignment, Computer Vision and Image Understanding, 205, 2021.  (CCFB）

23.    Yaoqiang Xiao, Yi Li, Jin Yuan, History-basedattention in seq2seq model for multi-label text classification, Knowledge-BasedSystems, 2021. (CCF C）

24.    Jin Yuan*，LeiZhang，Songrui Guo，Yi Xiao，and Zhiyong Li, Image captioning with a joint attention mechanism byvisual concept samples, ACM Transactions on Multimedia Computing, Communications,and Applications, 2020, 16(3). （CCF B）

25.    Zhihao Ye，GongyaoJiang， Ye Liu， Zhiyong Li, JinYuan* ， Document and Word RepresentationsGenerated by Graph Convolutional Network and BERT for Short Text Classification，European Conference on ArtificialIntelligence 2020.（CCF B）

26.    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）

27.    Xianyi Zhu, Jin Yuan*, Yi Xiao,YanZheng, Zheng Qin, Stroke classification for sketch segmentation byfine-tuning a developmental vggnet16. Multimedia Tools andApplications, 79(45),33891-33906，2020. （CCF C）

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

29.    Jin Yuan*, Xingxing Hou, Yaoqiang Xiao, Da Cao and Liqiang Nie, Multi-CriteriaActive Deep Learning for Image Classification. Journal of Knowledge-basedSystem, 2019,172: 86-94. （CCF C）

30.    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 and ImageRepresentation, volume 58,pp 486–494, 2019. （CCF C）

31.    Y. Zheng, X. Cao, Y. Xiao, X.Y. Zhu and J. Yuan*, “Joint residual pyramidfor joint image super-resolution”, Journal of Visual Communication and ImageRepresentation, volume 58, pp 53-62, 2019. （CCF C）

32.    Y. Xiao, C. Pan, Y. Zheng, X. Y. Zhu, Z. Qin, and J.Yuan,“ Gradient- Guided DCNN for Inverse Halftoning and Image Expanding”, AsianConference on Computer Vision 2018. （CCF C）

33.    J. Yuan, D. Xu, H. C. Xiong and Z. Y. Li, “A Novel Object Tracking Algorithmbased on Enhanced Perception Hash and Online Template Matching”, IEEE InternaltionalConference on Natural Computation, Fuzzy Systems and Knowledge Discovery, 2016.

34.    Jin Yuan*, Yiliang Zhao, Huangbo Luan, Meng Wang and Tat-seng Chua. Memory Recallbased Video Search: Finding Videos You Have Seen Before based on Your Memory, ACMTransactions on Multimedia Computing, Communications, and Applications,2014,10(2). （CCF B）

35.    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.” Journalon Multimedia System, volumn 19, page 3-15, 2013. （CCF C）

36.    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 Conferenceon Multimedia Modeling, page 642-645, 2012. （CCF C）

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

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

39.    Jin Yuan, Zhengjun Zha, Yantao Zheng, Meng Wang, Xiangdong Zhou and Tat-sengChua, Utilizing Related Samples to Enhance Interactive Concept-Based VideoSearch, IEEE Transactions on Multimedia 13(6): 1343-1355, 2011. （CCF B）

40.    Jin Yuan, Zhengjun Zha, Yantao Zheng, Meng Wang, Xiangdong Zhou and Tat-sengChua, Learning Concept Bundles for Video Search with Complex Queries, ACMInternational Conference on Multimedia, 2011. （CCF A）

41.    X. J. Zhao, G. D. Li, M. Wang, J. Yuan, Z.-JZha, Z. J. Li, T.-S Chua，“IntegratingRich Information for Video Recommendation with Multi-Task Rank Aggregation”,ACM International Conference on Multimedia, 2011. （CCF A）

42.    J. Yuan, Z. -J. Zha, Z. D. Zhao, X. D. Zhou, and T. -S. Chua, “Utilizingrelated samples to learn complex queries in interactive concept-based videosearch.” ACM International Conference on Image and Video Retrieval, 2010. （CCF B）

43.    X. Y. Chen, J. Yuan, L. Q. Nie, Z.-J.Zha, S. C. Yan and T. -S. Chua, “TRECVID 2010 Known-item Search byNUS”,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。

6. 袁进，朱帅，“基于风格的跨域图像语义描述技术”， 湖南大学优秀硕士学位论文。

7. 袁进，钟国金，“基于扩散模型的可控图像生成技术研究”，湖南大学优秀硕士学位论文。

8. 袁进，王盼，“基于扩散模型的非平稳时间序列异常检测方法研究”，湖南大学优秀硕士学位论文。