个人简历
研究领域
主讲课程
学术论文
1. Guojin Zhong, Jinhong Hu,Jiajun Chen, Jin Yuan*, Wenbo Pan.DECIDER: Difference-aware Constrastive Diffusion Model with Adversarial Perturbationsfor Image Change Captioning, AAAI, 2025. (CCF A)
2. Xu Zhang, Jin Yuan*, Hanwang Zhang , Guojin Zhong, Yongsheng Zang, JiachengLin , Zhiyong Li*. SGDiff: Scene Graph Guided Diffusion Model for ImageCollaborative SegCaptioning, AAAI, 2025.(CCF A)
3. Xu Zhang, Kailun Yang,Jiacheng Lin, Jin Yuan*, Zhiyong Li, and Shutao Li. PVPUFormer: Probabilistic Visual Prompt Uniffed Transformerfor Interactive Image Segmentation, IEEE Transactions on Image Processing, VOL.33, 2024.(CCF A)
4. Guojin Zhong, Yifu Guo, Jin Yuan*,Qianjun Zhang, Weili Guan, Long Chen. PROMOTE:Prior-Guided Diffusion Model with Global-Local Contrastive Learning forExemplar-Based Image Translation, ACM International Conference on Multimedia, 2024. (CCF A)
5. Zian Wang , Xianghui Liao , Jin Yuan* , You Yao , Zhiyong Li,CDC-YOLOFusion: Leveraging Cross-scale Dynamic Convolution Fusion forVisible-Infrared Object Detection, in IEEE Transactions on IntelligentVehicles,2024. (SCI一区) 代码: https://github.com/Morph-3800/CDC_YOLOFusion
6. Zhiqiang Xiao, Jiacheng Lin,Jiajun Chen, Haolong Fu, Yifan Li, JinYuan*, and Zhiyong Li. Privacy Preservation Network with Global-awareFocal Loss for Interactive Personal Visual Privacy Preservation. Neurocomputing,2024. (SCI二区)
7. HaolongFu, Jin Yuan*,etc. CF-Deformable DETR: anEnd-to-end Alignment-free Model for Weakly Aligned Visible-infrared ObjectDetection[C]. International Joint Conference on Artificial Intelligence,2024. (CCF A)
8. Haolong Fu, Hanhao Liu, JinYuan*, Xuan He, Jiacheng Lin, and Zhiyong Li,YOLO-Adaptor: AFast Adaptive One-Stage Detector for Non-Aligned Visible-Infrared ObjectDetection, IEEE Transactions on Intelligent Vehicles, 2024.(SCI一区)
9. Xuan He, Zian Wang, Jiacheng Lin , Ke Nai, JinYuan*, and Zhiyong Li,DO-SA&R: Distant Object Augmented Set Abstraction andRegression for Point-Based 3D Object Detection. IEEE Transactions on ImageProcessing, 2023.(CCF A)代码:https://github.com/mikasa3lili/
10. Guojin Zhong, JinYuan*, Pan Wang, Kailun Yang, Weili Guan, Zhiyong Li.Contrast-augmented Diffusion Model with Fine-grained Sequence Alignment forMarkup-to-Image Generation, ACM International Conference on Multimedia,2023. (CCF A)代码:https://github.com/zgj77/FSACDM
11. Lin, Jiacheng, Dai, Xianwen, Nai, Ke, Yuan, Jin*,Li, Zhiyong, Zhang, Xu, and Li, Shutao . "BRPPNet: Balanced privacyprotection network for referring personal image privacy protection".Expert Systems with Applications, 233 (2023): 120960.(SCI一区)代码:https://github.com/lab206/BRPPNet
12. He, Xuan, Jin Yuan*, Mengyao Li, Runmin Wang,Haidong Wang, and Zhiyong Li. "A Text-Specific Domain Adaptive Network forScene Text Detection in the Wild." Applied Intelligence (2023):1-13.(SCI二区)代码:https://github.com/mikasa3lili/
13. He, Xuan, Zhiyong Li, Jiacheng Lin, KeNai, Jin Yuan, Yifan Li, and Runmin Wang."Domain adaptive multigranularity proposal network for text detectionunder extreme traffic scenes." Computer Vision and ImageUnderstanding 233 (2023): 103709.(CCF B)代码:https://github.com/mikasa3lili/
14. He, Xuan, Fan Yang, Jiacheng Lin, HaolongFu, Jin Yuan*, Kailun Yang, and Zhiyong Li."SSD-MonoDETR: Supervised Scale-aware Deformable Transformer for Monocular3D Object Detection," in IEEE Transactions on Intelligent Vehicles,2023.(SCI一区)代码:https://github.com/mikasa3lili/
15. Jin Yuan*, Shuai Zhu, Shuyin Huang, HanwangZhang, Yaoqiang Xiao, Zhiyong Li*, and Meng Wang, DiscriminativeStyle Learning for Cross-domain Image Captioning, IEEE Transactions on Image Processing,2022, PP:1-14.(CCF A)
16. 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)
17. 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)
18. 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)
19. Zhiyong Li*,JingyiLv, Ying Chen, Jin Yuan, Person re-identification withpart prediction alignment, Computer Vision and Image Understanding, 205,2021. (CCF B)
20. Yaoqiang Xiao, Yi Li, Jin Yuan,History-based attention in seq2seq model for multi-label textclassification, Knowledge-Based Systems, 2021. (CCF C)
21. 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)
22. Zhihao Ye,GongyaoJiang, Ye Liu, Zhiyong Li, JinYuan* , Documentand Word Representations Generated by Graph Convolutional Network and BERT forShort Text Classification,EuropeanConference on Artificial Intelligence 2020.(CCF B)
23. Yiqiang Wu, Zhiyong Li, Ying Chen , Ke Nai , Jin Yuan*, Real-timetraffic sign detection and classification towards real trafficscene. Multimedia Tools and Applications, 79(25), 18201-18219,2020. (CCF C)
24. 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)
25. 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)
26. 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)
27. 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)
28. 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)
29. 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)
30. 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.
31. Jin Yuan*, Yiliang Zhao, Huangbo Luan, Meng Wang and Tatseng Chua. MemoryRecall based Video Search: Finding Videos You Have Seen Before based on Your Memory,ACM Transactions on Multimedia Computing, Communications, and Applications,2014, 10(2). (CCF B)
32. 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)
33. 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)
34. 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)
35. 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)
36. 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)
37. 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)
38. 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)
39. 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)
40. 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.
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