论文与专利

Patent

  1. Jinjun Wang, Wei Xu, Yihong Gong, “REAL-TIME DRIVING DANGER LEVEL PREDICTION”, US patent US7839292
  2. Jinjun Wang, Shenghuo Zhu, Yihong Gong, "MONITORING DRIVING SAFETY USING SEMLSUPERVISED SEQUENTIAL LEARNING", US patent US7860813
  3. Jinjun Wang, Fengjun Lv, Kai Yu, "LOCALITY-CONSTRAINED LINEAR CODING SYSTEMS AND METHODS FOR IMAGE CLASSIFICATION", US patent US8233711
  4. Jinjun Wang, Shenghuo Zhu, Yihong Gong, "SYSTEMS AND METHODS FOR RESOLUTION-INVARIANT IMAGE REPRESENTATION", US patent US8538200
  5. Xi Zhou, Jinjun Wang, Fengjun Lv, Kai Yu, "FAST IMAGE PARSING BY GRAPH ADAPTIVE DYNAMIC PROGRAMMING (GADP) PERFORMING CLASSIFICATION, DETECTION, AND SEGMENTATION SIMULTANEOUSLY" US patent US8374979
  6. Jinjun Wang, Jing Xiao, "SMALL VEIN IMAGE RECOGNITION AND AUTHORIZATION USING CONSTRAINED GEOMETRICAL MATCHING AND WEIGHTED VOTING UNDER GENERIC TREE MODEL", US patent US8768049
  7. Jinjun Wang, Jing Xiao, "EMBEDDED OPTICAL FLOW FEATURES", US patent US8774499
  8. Jinjun Wang, Jing Xiao, "CONTINUOUS LINEAR DYNAMIC SYSTEMS", US patent US8917907
  9. Jinjun Wang, Jing Xiao, "CONFIDENCE BASED VEIN IMAGE RECOGNITION AND AUTHENTICATION", US patent US8914313
  10. Jinjun Wang, Jing Xiao, "POINT SET MATCHING WITH OUTLIER DETECTION", US patent US8867865
  11. Jinjun Wang, Jing Xiao, "SPARSE CODING BASED SUPERPIXEL REPRESENTATION WITH HIERARCHICAL CODEBOOK CONSTRUCTION AND INDEXING", US patent US8867851
  12. Jinjun Wang, Jing Xiao, Yuanyuan Ding, "COMPUTER VISION METHODS AND SYSTEMS TO RECOGNIZE AND LOCATE AN OBJECT OR OBJECTS IN ONE OR MORE IMAGES", US patent US8849050
  13. Jinjun Wang, Jing Xiao, "SUBSTRUCTURE AND BOUNDARY MODELING FOR CONTINUOUS ACTION RECOGNITION", US patent US8892491
  14. 龚怡宏,石伟伟, 王进军,张世周.“基于线性判别分析准则的改进卷积神经网络性能的方法”, 中国专利 CN105243398B
  15. 龚怡宏, 王进军, 张顺, 王泽伦. “一种迭代更新轨迹模型的多目标跟踪方法”, 中国专利 CN103942536B
  16. 王进军,石伟伟, 龚怡宏, 张世周.“基于码书块稀疏的非负稀疏编码的图像特征提取方法”, 中国专利 CN105224944B
  17. 石伟伟, 王进军, 龚怡宏, 张世周.“基于结构相似度的非负稀疏编码的图像分类方法”, 中国专利 CN105184320B
  18. 龚怡宏, 张世周, 王进军, 石伟伟.“基于L21范数的提升卷积神经网络泛化能力的方法”, 中国专利 CN105160400B
  19. 张世周, 王进军, 龚怡宏, 石伟伟, "基于归一化非负稀疏编码器的图像快速特征表示方法", 中国专利 CN 201510567889 (pending)
  20. 王进军, 张世周, 龚怡宏, 石伟伟, "基于多线索归一化非负稀疏编码器的图像快速特征表示方法", 中国专利 CN 201510566717 (pending)
  21. 周三平,王进军,万星宇,惠思奇,张勤东,孟荣业， “一种基于元学习的特征偏移矫正方法”，中国专利 CN 2020108023740 (pending)
  22. 王进军,辛晓萌,万星宇,邓烨,惠思奇,黄文丽， “基于对抗攻击样本和多视图聚类的无监督行人重识别方法”，中国专利 CN 202010803524X (pending)
  23. 王进军,辛晓萌,万星宇,邓烨,惠思奇,黄文丽， “一种基于深度多模型协同的半监督行人重识别方法”，中国专利 CN 号：2020108035146 (pending)
  24. 王进军,万星宇,曹佳恺,周三平,邓烨,辛晓萌， “一种使用全局响应图的端到端的多目标跟踪方法”，中国专利 CN 号：2020108023736 (pending)
  25. 王进军,邓烨,李梦柳,辛晓萌,黄文丽,惠思奇， “一种基于并行自编码器的图像补全方法”，中国专利 CN 号：2020108035127 (pending)

Edited book

  1. Jinjun Wang, Jian Cheng, Shuqiang Jiang, “Computer Vision for Multimedia Applications: Methods and Solutions”, 1nd Edition, published by IGI Global, DOI: 10.4018/978-1-60960-024-2, ISBN13: 9781609600242, ISBN10: 160960024X, EISBN13: 9781609600266, October, 2010. 354 pages

Book chapter

  1. Jinjun Wang, Yihong Gong, "Female Facial Beauty Attribute Recognition and Editing", "Human-Centered Social Media Analytics", ISBN: 978-3-319-05490-2, Springer, 2014
  2. Jinjun Wang, “Multi-Scale Exemplary Based Image Super-Resolution with Graph Generalization”, "Graph-​Based Methods in Computer Vision", ISBN13: 9781466618916, IGI Glob­al, 2011.
  3. Jinjun Wang, Yihong Gong, “Image and Video Super Resolution Techniques”, Encyclopedia of Multimedia, 2nd Edition (Book chapter), ISBN: 978-0-387-78415-1, pp 309-318, 2010

Journal

 

  1. Zhou,S.B., M.Xue, W.Liu, Y.X.Chen, Q.Y.Chen, J.S.Lu, J.Wang, K.Ye, X.H.Li and M.Zhuo, ”Age-related attenuation of cortical synaptic tagging in the ACC is rescued by BDNF or a TrkB receptor agonist in both sex of mice.” Mol Brain 16(1): 4., 2023
  2. S.B.Zhou, M.Xue, W.Shi, K.Fan, Y.X.Chen, Q.Y.Chen, J.Wang, J.S.Lu, X.H.Li and M.Zhuo. “En- hancement of behavioral nociceptive responses but not itching responses by viewing mirror images in adult mice”, Mol Pain, 18: 17448069221111158., 2022
  3. Sanping Zhou, Jinjun Wang, Le Wang, Xingyu Wan, Siqi Hui, Nanning Zheng. "Inverse Adversarial Diversity Learning for Network Ensemble". IEEE Transactions on Neural Networks and Learning Systems，2022
  4. Qing Cai; Huiying Liu; Yiming Qian; Sanping Zhou; Jinjun Wang; Yee-Hong Yang, "A Novel Hybrid Level Set Model for Non-Rigid Object Contour Tracking", IEEE Transactions on Image Processing ( Volume: 31), Page(s): 15 - 29, 24 November 2021, DOI: 10.1109/TIP.2021.3112051
  5. Xingyu Wan; Jiakai Cao; Sanping Zhou; Jinjun Wang*; Nanning Zheng, “Tracking Beyond Detection: Learning a Global Response Map for End-to-End Multi-Object Tracking”, IEEE Transactions on Image Processing, Volume: 30, Page(s): 8222 – 8235, 22 September 2021, DOI: 10.1109/TIP.2021.3113169
  6. Sanping Zhou, Jinjun Wang*, Jun Shu, Deyu Meng, Le Wang, Nanning Zheng. "Multinetwork Collaborative Feature Learning for Semisupervised Person Reidentification." IEEE Transactions on Neural Networks and Learning Systems ((T-NNLS) 2021
  7. Yudong Liang, Radu Timofte, Jinjun Wang, Sanping Zhou, Yihong Gong, Nanning Zheng, “Single-Image super-resolution - When model adaptation matters”, Pattern Recognition, Volume 116, 2021, ISSN 0031-3203
  8. Sanping Zhou, Jinjun Wang*, Le Wang, Jimuyang Zhang, Fei Wang, Dong Huang, Nanning Zheng, "Hierarchical and Interactive Refinement Network for Edge-Preserving Salient Object Detection", IEEE Transactions on Image Processing, September 2020
  9. Sanping Zhou, Jinjun Wang, Jimuyang Zhang, Le Wang, Dong Huang, Shaoyi Du, Nanning Zheng, "Hierarchical U-shape Attention Network for Salient Object Detection", IEEE Transactions on Image Processing, July 2020
  10. Shun Zhang; Jia-Bin Huang; Jongwoo Lim; Yihong Gong; Jinjun Wang; Narendra Ahuja; Ming-Hsuan Yang*. "Tracking Persons-of-Interest via Unsupervised Representation Adaptation". International Journal of Computer Vision. Vol. 128，Issue 1, pp96-120, 2020.1. SCI: 000511490100005
  11. 张顺, 龚怡宏, 王进军, "深度卷积神经网络的发展及其在计算机视觉领域的应用", 计算机学报 (中文核心期刊) , 2019.03
  12. Shizhou Zhang, Jinjun Wang, Weiwei Shi, Yihong Gong, Yong Xia, Yanning Zhang, "Normalized Non-Negative Sparse Encoder for Fast Image Representation", IEEE Trans. Circuits Syst. Video Technol. 29(7): 1962-1972, 2019
  13. Xiaomeng Xin, Jinjun Wang*, Ruji Xie, Sanping Zhou, Wenli Huang, NanningZheng, "Semi-supervised person re-identification using multi-view clustering", Pattern Recognition, Volume 88, Pages 285-297, April 2019
  14. Sanping Zhou, Jinjun Wang, Deyu Meng, Yudong Liang, Yihong Gong, Nanning Zheng. "Discriminative feature learning with foreground attention for person re-identification." IEEE Transactions on Image Processing 28.9 (2019): 4671-4684
  15. Sanping Zhou, Jinjun Wang*, Deyu Meng, Xiaomeng Xin, Nanning Zheng, "Deep self-paced learning for person re-identification", Pattern Recognition, Pages 739-751, Volume 76, April 2018
  16. Jiayun Wang, Sanping Zhou, Jinjun Wang*, Qiqi Hou, "Deep ranking model by large adaptive margin learning for person re-identification", Pattern Recognition, Volume 74, Pages 241-252, February 2018
  17. Qiqi Hou, Jinjun Wang*, Ruibin Bai, Sanping Zhou, Yihong Gong, "Face alignment recurrent network", Pattern Recognition, Volume 74, Pages 448-458, February 2018
  18. De Cheng, Yihong Gong, Jinjun Wang, Nanning Zheng, “Balanced Mixture of Deformable Part Models with Automatic Part Configurations”, IEEE Trans. on Circuits and Systems for Video Technology, Volume: 27, Issue: 9, Page(s): 1962-1973,  Sept. 2017
  19. Sanping Zhou, Jinjun Wang*, Rui Shi, Qiqi Hou, Yihong Gong, Nanning Zheng, "Large Margin Learning in Set to Set Similarity Comparison for Person Re-identification", IEEE Trans. Multimedia, Vol. 18, Pages 1-11, Aug. 2017
  20. Weiwei Shi, Yihong Gong, Xiaoyu Tao, Jinjun Wang, Nanning Zheng. "Improving CNN Performance Accuracies with Min-Max Objective".  IEEE Trans. on Neural Networks and Learning Systems, Volume: PP, Issue: 99, Page(s): 1-14, June 2017
  21. Shizhou Zhang, Jinjun Wang*, Xiaoyu Tao, Yihong Gong and Nanning Zheng, “Constructing Deep Sparse coding Network for Image classification”. Pattern Recognition, Vol. 64, Pages 130-140, April 2017
  22. Yudong Liang, Jinjun Wang*, Yihong Gong and Nanning Zheng, “Incorporating Image Priors with Deeonvolutional Neural Networks for Image Super-Resolution”, Neurocomputing, Volume 194, Pages 340-347, June 2016
  23. Sanping Zhou,Jinjun Wang*,Shun Zhang,Yudong Liang,Yihong Gong, “Active contour model based on local and global intensity information for medical image segmentation”, Neurocomputing, Volume 186, Pages 107-118, April 2016
  24. Huaizu Jiang, Jinjun Wang*, Yihong Gong, Na Rong, Zhenhua Chai, Nanning Zheng, "Online Multi-Target Tracking With Unified Handling of Complex Scenarios", IEEE Transactions on Image Processing, Volume: 24, Issue: 11, Nov. 2015
  25. W. Lin, Y. Zhang, J.Lu, B. Zhou, J. Wang, Y. Zhou, "Summarizing Surveillance Videos with Localpatch-learning-based Abnormality Detection, Blob Sequence Optimization, and Type-based Synopsis," Neurocompting, Volume 155, Pages 84-98, May 2015
  26. Jinjun Wang, Jing Xiao, Weiyao Lin and Chuanfei Luo, "Discriminative and Generative Vocabulary Tree With Application to Vein Image Authentication and Recognition", Image and Vision Computing, Volume 34, Pages 51-62, February 2015
  27. De Cheng, Jinjun Wang*, Xing Wei, Yihong Gong, “Training Mixture of Weighted SVM for Object Detection Using EM Algorithm”, Nurocomputing, Volume 149, Part B, 3, Pages 473-482, February 2015
  28. Shun Zhang, Jinjun Wang*, Zelun Wang, Yihong Gong and Yuehu Liu, “Multi-Target Tracking by Learning Local-to-Global Trajectory Models”, Pattern Recognition, vol. 48, issue 2, pp 580–590, 2015
  29. Shizhou Zhang, Jinjun Wang*, Yihong Gong, Shun Zhang, Xinzi Zhang, Xuguang Lan, “Image Parsing by Loopy Dynamic Programming”, Neurocomputing, Volume 145,  Pages 240-249, December 2014
  30. Jinjun Wang, Yihong Gong, “Discovering Image Semantics in Codebook Derivative Space", IEEE Trans. on Multimedia, vol.14, issue.4, pp 986-994, August 2012
  31. Jinjun Wang, Shenghuo Zhu, “Resolution-invariant coding for continuous image super resolution", Neurocomputing,vol. 82, pp 21-28, April 2012  
  32. Jinjun Wang, Wei Xu, Yihong Gong, “Real-time Driving Danger-Level Prediction”. Engineering Applications of Artificial Intelligence, vol. 23, issue 8, pp 1247–1254, December 2010
  33. Jinjun Wang, Shenghuo Zhu, Yihong Gong, “Resolution Enhancement based on Learning the Sparse Association of Image Patches”. Pattern Recognition Letter, vol 31, issue 1, pp 1-10, 2010.
  34. Jinjun Wang, Shenghuo Zhu, Yihong Gong, “Driving Safety Monitoring using Semi-Supervised Learning on Time Series Data”. IEEE Trans. on Intelligent Transportation Sys., vol 10, no. 3, pp728-737, 2010
  35. Feng Liu, Jinjun Wang, Shenghuo Zhu, Michael Gleicher, Yihong Gong, “Visual-Quality Optimizing Super Resolution”, Computer Graphics Forum, vol 0 (1981), no 0, pp 1–14, 2008.
  36. Changsheng Xu, Jinjun Wang, Hanqing Lu, Yifan Zhang, “A Novel Framework for Semantic Annotation and Personalized Retrieval of Sports Video”, IEEE Trans. on Multimedia, vol. 10, no. 3, pp. 421-436, 2008
  37. Jinjun Wang, Changsheng Xu, Engsiong Chng, Qi Tian and Hanqing Lu, “Automatic Composition of Broadcast Soccer Video”, ACM MultiMedia System Journal, 2008
  38. Jinjun Wang, Engsiong Chng, Changsheng Xu, Hanqing Lu and Qi Tian, “Generation of Personalized Music Sports Video using Multimodal Cues”, IEEE Trans. on Multimedia, vol. 9, issue 3, pp 576-588, April 2007.
  39. Benxiong Huang and Jinjun Wang, “Echo canceller based on improved PNLMS and quick correlation DTD algorithms”, Journal of Huazhong University of Science and Technology (Nature Science Edition), vol 32, no 6, pp 4-6, 2004

Conference

  1. Ye Deng, Siqi Hui, Rongye Meng, Sanping Zhou, and Jinjun Wang. "Hourglass Attention Network for Image Inpainting", European Conference on Computer Vision, 2022
  2. Ye Deng, Siqi Hui, Sanping Zhou, Deyu Meng,and Jinjun Wang. "T-former: An Efficient Transformer for Image Inpainting", Proceedings of the 30th ACM International Conference on Multimedia. 2022: 6559-6568
  3. Yang Wu , Wenli Huang , Siqi Hui , and Jinjun Wang. "Learning Knowledge Graph Embedding with Batch Circle Loss", 2022 International Joint Conference on Neural Networks (IJCNN). IEEE, 2022: 1-8.Ye Deng, Siqi Hui, Sanping Zhou, Deyu Meng, Jinjun Wang. "Learning Contextual Transformer Network for Image Inpainting". ACM Multimedia (ACM MM), 2021
  4. Xingyu Wan, Sanping Zhou, Jinjun Wang, Rongye Meng. "Multiple Object Tracking by Trajectory Map Regression with Temporal Priors Embedding". ACM Multimedia (ACM MM), 2021
  5. Qindong Zhang; Sanping Zhou; Jinjun Wang, “Learning Generic Feature Representations with Adversarial Regularization for Person Re-Identification”, IEEE International Conference on Image Processing (ICIP), 19-22 Sept. 2021
  6. Jixin Wang, Sanping Zhou, Chaowei Fang, Le Wang, Jinjun Wang, "Meta Corrupted Pixels Mining for Medical Image Segmentation", MICCAI 2020
  7. Ye Deng, Jinjun Wang, Xi’an Jiaotong University, China, "Image Inpainting using Parallel Network", ICIP 2020
  8. Mengliu Li, Han Xu, Jinjun Wang, Wenpeng Li, Yongli Sun, "Temporal Aggregation with Clip-level Attention for Video-based Person Re-identification" , WACV 2020
  9. Huang, Wenli, Jinjun Wang, Xiaomeng Xin, Xingyu Wan, and Mengliu Li. "Channel-Modulated Multibranch Convolutional Neural Network." In 2020 Chinese Automation Congress (CAC), pp. 1854-1859. IEEE, 2020
  10. Li, Xu, Ming Zeng, and Jinjun Wang. "Temporal Recursive Propagation Network for Action Recognition." In 2020 International Conference on Computer Engineering and Application (ICCEA), pp. 604-607. IEEE, 2020
  11. Li, Xu, Liqiang Wen, Jinjun Wang, and Ming Zeng. "Spatio-temporal Collaborative Convolution for Video Action Recognition." In 2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA), pp. 554-558. IEEE, 2020
  12. Zhang, Liye, Fudong Cai, Jinjun Wang, Changfeng Lv, Wei Liu, Guoxin Guo, Huanyun Liu, and Yixin Xing. "Image Matching Algorithm based on ORB and K-means Clustering." In 2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT), pp. 460-464. IEEE, 2020
  13. Meng, Xiaoliang, Fudong Cai, Jinjun Wang, Changfeng Lv, Huanyun Liu, Hongyuan Liu, and Minwei Shuai. "Research on Reading Recognition Method of Pointer Meters Based on Deep Learning Combined with Rotating Virtual Pointer." In 2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT), pp. 115-118. IEEE, 2020
  14. Sanping Zhou, Fei Wang, Zeyi Huang, Jinjun Wang. "Discriminative feature learning with consistent attention regularization for person re-identification." Proceedings of the IEEE/CVF International Conference on Computer Vision. 2019
  15. Wan, Xingyu, Wenli Huang, Jinjun Wang, and Pengzhan Zhao. "Visual Tracking Using Online Deep Reinforcement Learning with Heatmap." In 2019 2nd China Symposium on Cognitive Computing and Hybrid Intelligence (CCHI), pp. 87-92. IEEE, 2019
  16. Xingyu Wan, Jinjun Wang, Sanping Zhou. "An online and flexible multi-object tracking framework using long short-term memory." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops. 2018
  17. Xingyu Wan, Jinjun Wang, Zhifeng Kong, Qing Zhao, Shunming Deng. "Multi-object tracking using online metric learning with long short-term memory." 2018 25th IEEE International Conference on Image Processing (ICIP). IEEE, 2018
  18. Ruibin Bai, Jinjun Wang, Sanping Zhou, "Continuous Action Recognition and Segmentation in Untrimmed Videos", ICPR 2018
  19. Sanping Zhou, Jinjun Wang, Jiayun Wang, Yihong Gong, Nanning Zheng, "Point to Set Similarity Based Deep Feature Learning for Person Re-Identification", CVPR, 2017
  20. De Cheng, Yihong Gong, Sanping Zhou, Jinjun Wang, Nanning Zheng, “Person Re-Identification by Multi-Channel Parts-BaseNN with Improved Triplet Loss Function” CVPR, 2016
  21. Shun Zhang, Yihong Gong, Jia-Bin Huang, Jongwoo Lim, Jinjun Wang, Narendra Ahuja, Ming-Hsuan Yang, “Tracking Persons-of-Interest via Adaptive Discriminative Features”, ECCV, 2016
  22. Yudong Liang, Jinjun Wang, Xingyu Wan, Yihong Gong, Nanning Zheng, “Image Quality Assessment Using Similar Scene as Reference”, ECCV, 2016
  23. Shizhou Zhang, Yihong Gong, Jinjun Wang, “Improving DCNN Performance with Sparsategory-Selective Objective Function”, IJCAI, 2016
  24. Shun Zhang, Yihong Gong, Jinjun Wang, “Deep Metric Learning with Improved Triplet Loss for Faclustering in Videos”, PCM, 2016
  25. Weiwei Shi, Yihong Gong, and Jinjun Wang, “Integrating Supervised Laplacian Objective witNN for Object Recognition”, PCM, 2016
  26. Sanping Zhou, Jinjun Wang, Yihong Gong, “Deep Ranking Model for Person Re-identification with Pairwise Similaritomparison”, PCM, 2016
  27. Xiaoyu Tao, Yihong Gong, Jinjun Wang, “A DeeNN with Focused Attention Objective for Integrated Object Recognition and Localization”, PCM, 2016
  28. Yudong Liang, Jinjun Wang, Ze Yang, Yihong Gong and Nanning Zhen, “Learning qualitative and quantitative image quality assessment”, PCM, 2016
  29. Shizhouzhang, yihong gong, jinjun wang and nanning zheng, “A Biologically Inspired DeeNN Model”, PCM, 2016
  30. Ruibin Bai, Qiqi Hou, Jinjun Wang, and Yihong Gong, “Facial Animation Based on 2D Shape Regression”, PCM, 2016
  31. Shi W., Gong Y., Wang J., “ImprovinNN Performance with Min-Max Objective, Proceedings of the Twenty-Fifth International Joinonference on Artificial Intelligence” ，IJCAI, 2016
  32. De Cheng, Jinjun Wang, Xing Wei,Nan Liu, Shizhou Zhang, Yihong Gong, Nanning Zheng,“Cascade object detection with complementary features and algorithms”,IEEE Conference on Semantic Computation, 2015
  33. Nan Liu,Jinjun Wang,Yihong Gong,“Deep Self-Organizing Map for Visual Classification”，International Joint Conference on Neural Networks, 2015.
  34. Qiqi Hou, Jinjun Wang, Lele Cheng, Yihong Gong，“Facial Landmark Detection Via Cascade Multi-Channel Convolutional Neural Network”, ICIP, 2015.
  35. Lele Cheng, Jinjun Wang, Yihong Gong, Qiqi Hou, “Robust Deep Auto-encoder for Occluded Face Recognition”, ACM Multimedia Conference,2015.
  36. Zhang Shizhou, Wang Jinjun, Liang Yudong, Gong Yihong and Nanning Zheng,“Multi-cue Normalized Non-Negative Sparse Encoder for image classification”, International Conference on Multimedia & Expo, 2015.
  37. Shi Dahu, Zhang Shun, Wang Jinjun, Gong Yihong, “Detection and Association based Multi-target Tracking in Surveillance Video”, IEEE International Conference on Multimedia Big Data (BigMM), 2015.
  38. Shun Zhang, Jinjun Wang, Yihong Gong, Shizhou Zhang, “Free Hand Gesture with “Touchable” Virtual Interface forHuman-3DTV Interface” 3DTV-CON, 2015.
  39. Yudong Liang, Jinjun Wang ,Shizhou Zhang , Yihong Gong, “Incorporating Image Degeneration Modeling With Multitask Learningfor Imagesuper-Resolution”, ICIP, 2015.
  40. Qiqi Hou, Lunxin Mou,Jinjun Wang, Yihong Gong,“Virtual Face Transplant in Video”, IWVCC,2015.
  41. Weiwei Shi, Jinjun Wang, Yihong Gong, “Sparse Coding Based on Group-Sparsity Dictionary for Image Classification”, IWVCC, 2015.
  42. Lele Cheng, Xiaoyu Tao, Jinjun Wang, Yihong Gong ,“Double-Channel Deep Denoising Auto-Encoder for Facial Expression Recognition”, IWVCC，2015. 
  43. Xinzi Zhang, Jinjun Wang, Yihong Gong, Shizhou Zhang, Shun Zhang, et al, "Low Computation Face Verification using Class Center Analysis”, in Proc. of International Conference on Pattern Recognition 2014 (ICPR'14)
  44. Yudong Liang, Jinjun Wang, Shizhou Zhang, Yihong Gong, Learning Visual Co-Occurrence with Auto-Encoder for Image Super-Resolution, In Proceeding of APSIPA 2014
  45. Yang Zhou, Weiyao Lin, Hang Su, Jianxin Wu, Jinjun Wang, Yu Zhou, "Representing and Recognizing Motion Trajectories: A Tube and Droplet Approach", in Proc. of ACM Multimedia 2014 (ACM MM'14), Orlando, FL, USA, 2014
  46. Jinjun Wang, Jing Xiao, "Human behavior segmentation and recognition using Continuous Linear Dynamic System", IEEE Conference on Application of Computer Vision (WACV'13), Tampa, USA, 2013
  47. Jinjun Wang, Jing Xiao, "Discriminative and generative vocabulary tree for vein image recognition", in Proc. of International Conference on Pattern Recognition 2012 (ICPR’ 12), Tsukuba, Japan, 2012
  48. Zhaowen Wang, Jinjun Wang, Jing Xiao, Thomas Huang, “Substructure and Boundary Modeling for Continuous Action Recognition”, IEEE Conference on Computer Vision and Pattern Recognition 2012 (CVPR’ 12), Rhode Island, USA, 2012
  49. Min-hsuan Tsai，Jinjun Wang, Tong Zhang, Yihong Gong, Thomas Huang, “Learning the image semantic at Large-Scale”, in Proc. of IEEE Conference on Image Processing (ICIP’11), Brussels, Belgium, 2011
  50. Jinjun Wang, Jianchao Yang, Kai Yu, Fengjun Lv, “Locality-constrained Linear Coding for Image Classification”, in Proc. of IEEE Conference on Computer Vision and Pattern Recognition 2010 (CVPR’ 10), San Francisco, USA, 2010
  51. Jinjun Wang, Shenghuo Zhu, Yihong Gong, “Resolution-Invariant Image Representation and Its Applications”, in Proc. of IEEE Conference on Computer Vision and Pattern Recognition 2009 (CVPR’ 09), Florida, USA, 2009
  52. Jinjun Wang, Shenghuo Zhu, Yihong Gong, “Resolution-Invariant Image Representation For Content-Based Zooming”, in Proc. of IEEE International Conference on Multimedia Expo 2009 (ICME’ 09), Cancun, Mexico, 2009
  53. Jinjun Wang, Yihong Gong, “Normalizing Multi-Subject Variation For Drivers’ Emotion Recognition”, in Proc. of IEEE International Conference on Multimedia Expo 2009 (ICME’ 09), Cancun, Mexico, 2009
  54. Jinjun Wang, Yihong Gong, “Recognition of multiple drivers' emotional state”, in Proc. of International Conference on Pattern Recognition 2008 (ICPR’ 08), Florida, USA, 2008
  55. Jinjun Wang, Yihong Gong, “Fast Image Super-Resolution Using Connected Component Enhancement”, in Proc. of IEEE International Conference on Multimedia Expo 2008 (ICME’ 08), Hannover, Germany, 2008
  56. Feng Liu, Jinjun Wang, Shenghuo Zhu, Michael Gleicher, Yihong Gong, “Noisy video super-resolution” , in Proc. of ACM Multimedia 2008 (ACM MM’08), Vancouver, Canada, 2008
  57. Jinjun Wang, Wei Xu, Shenghuo Zhu, Yihong Gong, “Efficient Video Object Segmentation by Graph-Cut”, in Proc. of IEEE International Conference on Multimedia Expo 2007 (ICME’ 07), Beijing, China, July 2007
  58. Jinjun Wang, Changsheng Xu and Engsiong Chng, “Automatic Sports Video Genre Classification using Pseudo-2D-HMM”, in Proc. of  International Conference on Pattern Recognition 2006 (ICPR’06), Hong Kong, China, August, 2006
  59. Changsheng Xu, Jinjun Wang, Kongwah Wan, Yiqun Li and Linyu Duan, “Live Sports Event Detection Based on Broadcast Video and Web-casting Text", in Proc. of ACM Multimedia 2006 (ACM MM'06), pp221-230, Santa Barbara, USA, October, 2006
  60. Jinjun Wang, Engsiong Chng, Changsheng Xu, Hanqing Lu and Xiaofeng Tong, “Identify Sports Video Shots With ‘Happy’ or ‘Sad’ Emotions”, in Proc. of IEEE International Conference on Multimedia And Expo 2006 (ICME’06), Toronto, Canada, July, 2006
  61. Jinjun Wang, Engsiong Chng and Changsheng Xu, “Fully and Semi-Automatic Music Sports Video Composition”, in Proc. of IEEE International Conference on Multimedia And Expo 2006 (ICME’ 06), Toronto, Canada, July, 2006
  62. Changsheng Xu, Jinjun Wang, Qi Tian and Hanqing Lu, “Sports Video Personalization for Consumer Products”, in Proc. of IEEE International Conference on Consumer Electronics 2006 (ICCE’06) Las Vegas, USA, 2006.
  63. Jinjun Wang, Changsheng Xu, Engsiong Chng, Linyu Duan, Kongwah Wan and Qi Tian, “Automatic Generation of Personalized Music Sports Video”, in Proc. of ACM Multimedia 2005 (ACM MM'05), pp 735-744, Singapore, 2005
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