论文发表

【国际期刊】


  1. Li Zhixin*, Lin Lan, Zhang Canlong, Ma Huifang, Zhao Weizhong, Shi Zhiping. A semi-supervised learning approach based on adaptive weighted fusion for automatic image annotation [J]. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 16(4): article ??, 23 pages, Dec. 1, 2020.https://doi.org/10.1145/3409367 (SCI&EI收录, CCF推荐B类期刊)

  2. Wei Haiyang, Li Zhixin*, Zhang Canlong, Ma Huifang. The synergy of double attention: Combine sentence-level and word-level attention for image captioning [J]. Computer Vision and Image Understanding (CVIU), 201: article 103068, 10 pages, Dec. 1, 2020. https://doi.org/10.1016/j.cviu.2020.103068 (SCI&EI收录, CCF推荐B类期刊)

  3. Huang Feicheng, Li Zhixin*, Wei Haiyang, Zhang Canlong, Ma Huifang. Boost image captioning with knowledge reasoning [J]. Machine Learning (MLJ), Oct. 27, 2020.https://doi.org/10.1007/s10994-020-05919-y (SCI&EI收录, CCF推荐B类期刊)

  4. Chen Shengjia, Li Zhixin*, Tang Zhenjun. Relation R-CNN: A graph based relation-aware network for object detection [J]. IEEE Signal Processing Letters (SPL), 27: 1680–1684, Oct. 5, 2020. https://doi.org/10.1109/lsp.2020.3025128 (SCI&EI收录, CCF推荐C类期刊, 中科院二区)

  5. Quan Yu, Li Zhixin*, Chen Shengjia, Zhang Canlong, Ma Huifang. Joint deep separable convolution network and border regression reinforcement for object detection [J]. Neural Computing and Applications (NCA), Aug. 5, 2020. https://doi.org/10.1007/s00521-020-05255-1 (SCI&EI收录, CCF推荐C类期刊, 中科院二区)

  6. Li Zhixin*, Sun Yaru, Zhu Jianwei, Tang Suqin, Zhang Canlong, Ma Huifang. Improve relation extraction with dual attention guided graph convolutional networks [J]. Neural Computing and Applications (NCA), Jun. 18, 2020. https://doi.org/10.1007/s00521-020-05087-z (SCI&EI收录, CCF推荐C类期刊, 中科院二区)

  7. Zhao Weizhong*, Ma Huifang, Li Zhixin, Ao Xiang, Li Ning. Improving social and behavior recommendations via network embbedding [J]. Information Sciences, 516: 125–141, Apr. 1, 2020. https://doi.org/10.1016/j.ins.2019.12.038 (SCI&EI收录, CCF推荐B类期刊, 中科院二区)

  8. Zhou Tao, Li Zhixin*, Zhang Canlong, Ma Huifang. Classify multi-label images via improved CNN model with adversarial network [J]. Multimedia Tools and Applications (MTA), 2020. https://doi.org/10.1007/s11042-019-08568-z (在线发表, SCI&EI收录, CCF推荐C类期刊)

  9. Zhao Weizhong*, Ma Huifang, Li Zhixin, Ao Xiang, Li Ning. Improving social and behavior recommendations via network embbedding [J]. Information Sciences, 516: 125–141, Apr. 1, 2020. https://doi.org/10.1016/j.ins.2019.12.038 (SCI&EI收录, CCF推荐B类期刊)

  10. Li Zhixin*, Ling Feng, Zhang Canlong, Ma Huifang. Combining global and local similarity for cross-media retrieval [J]. IEEE Access, 8: 21847–21856, Feb. 4, 2020. https://doi.org/10.1109/access.2020.2969808 (SCI&EI收录)

  11. Li Zhixin*, Peng Zhi, Tang Suqin, Zhang Canlong, Ma Huifang. Text summarization method based on double attention pointer network [J]. IEEE Access, 8: 11279–11288, Jan. 17, 2020. https://doi.org/10.1109/access.2020.2965575 (SCI&EI收录)

  12. Quan Yu, Li Zhixin*, Zhang Canlong, Ma Huifang. Object detection model based on deep dilated convolutional networks by fusing transfer learning [J]. IEEE Access, 7: 178699–178709, Dec. 23, 2019. https://doi.org/10.1109/access.2019.2958817 (SCI&EI收录)

  13. Zhou Tao, Li Zhixin*, Zhang Canlong. Enhance the recognition ability to occlusions and small objects with Robust Faster R-CNN [J]. International Journal of Machine Learning and Cybernetics (IJMLC), 10(11): 3155–3166, Nov. 1, 2019. https://doi.org/10.1007/s13042-019-01006-4 (SCI&EI收录)

  14. Zhang Canlong*, Tang Yanping, Li Zhixin, Wang Zhiwen. Joint spatiograms for multi-modality tracking with online update [J]. Pattern Recognition Letters (PRL), 127: 128–137, Nov. 1, 2019. https://doi.org/10.1016/j.patrec.2019.02.021 (SCI&EI收录, CCF推荐C类期刊)

  15. Bing Rui, Ma Huifang*, He Xiangchun, Li Zhixin, Guo Lijun. HcRPC: Highly compact reachability preserving graph compression with corrections [J]. IEEE Access, 7: 136568–136580, Oct. 2, 2019. https://doi.org/10.1109/access.2019.2941766 (SCI&EI收录)

  16. Liu Haijiao, Ma Huifang*, Chang Yang, Li Zhixin, Wu Wenjuan. Target community detection with user’s preference and attribute subspace [J]. IEEE Access, 7: 46583–46594, Apr. 18, 2019. https://doi.org/10.1109/access.2019.2909736 (SCI&EI收录)

  17. Zhang Canlong*, Li Zhixin, Wang Zhiwen. Joint compressive representation for multi-feature tracking [J]. Neurocomputing, 299: 32–41, Jul. 19, 2018. https://doi.org/10.1016/j.neucom.2018.03.033 (SCI&EI收录, CCF推荐C类期刊)

  18. Wei Siting, Li Zhixin*, Zhang Canlong. Combined constraint-based with metric-based in semi-supervised clustering ensemble [J]. International Journal of Machine Learning and Cybernetics (IJMLC), 9(7): 1085–1100, Jul. 1, 2018. https://doi.org/10.1007/s13042-016-0628-6 (SCI&EI收录)

  19. Zheng Yongzhe, Li Zhixin*, Zhang Canlong. A hybrid architecture based on CNN for cross-modal semantic instance annotation [J]. Multimedia Tools and Applications (MTA), 77(7): 8695–8710, Apr. 1, 2018. https://doi.org/10.1007/s11042-017-4764-0 (SCI&EI收录, CCF推荐C类期刊)

  20. Li Zhixin*, Li Lingzhi, Yan Kaobi, Zhang Canlong. Automatic image annotation using fuzzy association rules and decision tree [J]. Multimedia Systems (MS), 23(6): 679–690, Nov. 1, 2017. https://doi.org/10.1007/s00530-016-0530-9 (SCI&EI收录, CCF推荐C类期刊)

  21. Yan Kaobi, Li Zhixin*, Zhang Canlong. A new multi-instance  multi-label learning approach for  image and text classification [J]. Multimedia Tools and Applications (MTA), 75(13): 7875–7890, Jul. 1, 2016. https://doi.org/10.1007/s11042-015-2702-6 (SCI&EI收录, CCF推荐C类期刊)

  22. Li Zhixin*, Shi Zhongzhi, Zhao Weizhong, Li Zhiqing, Tang Zhenjun. Learning semantic concepts from image database with hybrid generative/discriminative approach [J]. Engineering Applications of Artificial Intelligence (EAAI), 26(9): 2143–2152, Oct. 1, 2013. https://doi.org/10.1016/j.engappai.2013.07.004 (SCI&EI收录, CCF推荐C类期刊)

  23. Zhang Canlong, Jing Zhongliang*, Pan Han, Jing Bo, Li Zhixin. Robust visual tracking using discriminative stable regions and K-means clustering [J]. Neurocomputing, 111: 131–143, Jul. 2, 2013. https://doi.org/10.1016/j.neucom.2012.12.020 (SCI&EI收录, CCF推荐C类期刊)

  24. Zhang Canlong*, Jing Zhongliang, Jin Bo, Li Zhixin. A dual-kernel-based tracking approach for visual target [J]. Science China Information Sciences, 55(3): 566–576, Mar. 1, 2012. https://doi.org/10.1007/s11432-011-4543-x (SCI收录, CCF推荐B类期刊)

  25. Li Zhixin*, Shi Zhiping, Liu Xi, Shi Zhongzhi. Modeling continuous visual  features for semantic image annotation and retrieval [J]. Pattern Recognition Letters (PRL), 32(3): 516–523, Feb. 1, 2011. https://doi.org/10.1016/j.patrec.2010.11.015 (SCI&EI收录, CCF推荐C类期刊)                                          

  26. Li Zhixin*, Shi Zhiping, Liu Xi, Li Zhiqing, Shi Zhongzhi. Fusing semantic aspects for image annotation and retrieval [J]. Journal of Visual Communication and Image Representation (JVCIR), 21(8): 798–805, Nov. 1, 2010. https://doi.org/10.1016/j.jvcir.2010.06.004 (SCI&EI收录, CCF推荐C类期刊)


【国际会议】


  1. Li Zhixin*, Ling Feng, Xu Chuansheng, Zhang Canlong, Ma Huifang. Cross-media hash retrieval using multi-head attention network [C]. In: Proceedings of the 25th International Conference on Pattern Recognition  (ICPR’20). IEEE, Jan. 10-15, 2021. (EI收录, CCF推荐C类会议)

  2. Quan Yu, Li Zhixin*, Zhang Canlong, Ma Huifang. Object detection model based on scene-level region proposal self-attention [C]. In: Proceedings of the 25th International Conference on Pattern Recognition  (ICPR’20). IEEE, Jan. 10-15, 2021. (EI收录, CCF推荐C类会议)

  3. Chen Shengjia, Li Zhixin*, Huang Feicheng, Zhang Canlong, Ma Huifang. Improving object detection with relation mining network [C]. In: Proceedings of the 20th IEEE International Conference on Data Mining (ICDM’20). IEEE, Nov. 17-20, 2020. (EI收录, CCF推荐B类会议)

  4. Zhang Jia, Li Zhixin*, Zhang Canlong, Ma Huifang. Robust adversarial learning for semi-supervised semantic segmentation [C]. In: Proceedings of the 27th IEEE International Conference on Image Processing (ICIP’20), pp.728–732. IEEE, Oct. 25-28, 2020. (EI收录, CCF推荐C类会议)

  5. Huang Feicheng, Li Zhixin*, Chen Shengjia, Zhang Canlong, Ma Huifang. Image captioning with internal and external knowledge [C]. In: Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM’20), pp.535–544. ACM, Oct. 19-23, 2020. (EI收录, CCF推荐B类会议)

  6. Li Zhixin*, Sun Yaru, Tang Suqin, Zhang Canlong, Ma Huifang. Adaptive graph convolutional networks with attention mechanism for relation extraction [C]. In: Proceedings of International Joint Conference on Neural Network  (IJCNN’20), 8 pages. IEEE, Jul. 19-24, 2020. (EI收录, CCF推荐C类会议)

  7. Wei Haiyang, Li Zhixin*, Zhang Canlong. Image captioning based on visual and semantic attention [C]. In: Proceedings of the 26th International Conference on MultiMedia Modeling (MMM’20), Part I, LNCS 11961, pp. 151–162. Jan. 5-8, 2020. (EI收录, CCF推荐C类会议)

  8. Li Zhixin*, Ling Feng, Zhang Fengqi, Zhang Canlong. Cross-media image-text retrieval based on two-level network [C]. In: Proceedings of the 26th International Conference on Neural Information Processing (ICONIP’19), Part I, LNCS 11953, pp. 211–222. Dec. 12-15, 2019. (EI收录, CCF推荐C类会议)

  9. Li Zhixin*, Sun Yaru, Tang Suqin, Zhang Canlong, Ma Huifang. Sentence-level semantic features guided adversarial network for Zhuang language part-of-speech tagging [C]. In: Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence (ICTAI’19), pp. 265–272. Nov. 4-6, 2019. (EI收录, CCF推荐C类会议)

  10. Quan Yu, Li Zhixin*, Zhang Fengqi, Zhang Canlong. D_dNet-65 R-CNN: Object detection model fusing deep dilated convolutions and light-weight networks [C]. In: Proceedings of the 16th Pacific Rim International Conference on Artificial Intelligence (PRICAI’19), Part III, LNAI 11672, pp. 16–28. Aug. 26-30, 2019. (EI收录, CCF推荐C类会议)

  11. Wei Haiyang, Li Zhixin*, Zhang Canlong, Zhou Tao, Quan Yu. Image captioning based on sentence-level and word-level attention [C]. In: Proceedings of International Joint Conference on Neural Network (IJCNN’19). Jul. 14-19, 2019. (EI收录, CCF推荐C类会议)

  12. Li Zhixin*, Lin Lan, Zhang Canlong, Ma Huifang, Zhao Weizhong. Collaborating CNN and SVM for automatic image annotation [C]. In: Proceedings of ACM International Conference on Multimedia Retrieval (ICMR’19), pp. 63–67. Jun. 10-13, 2019. (EI收录, CCF推荐B类会议)

  13. Zhao Weizhong*, Ma Huifang, Li Zhixin, Ao Xiang, Li Ning. SBRNE: An improved unified framework for social and behavior recommendations with network embedding [C]. In: Proceedings of the 24th International Conference on Database Systems for Advanced Applications (DASFAA’19), Part II, LNCS 11447, pp. 555–571. Apr. 22-25, 2019. (EI收录, CCF推荐B类会议)

  14. Ma Huifang*, Liu Wen, Li Zhixin, Lin Xianghong. Short text similarity measurement based on coupled semantic relation and strong classification features [C]. In: Proceedings of the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD’19), Part I, LNAI 11439, pp. 135–147. Apr. 14-17, 2019. (EI收录, CCF推荐C类会议)

  15. Zhou Tao, Li Zhixin*, Zhang Canlong, Lin Lan. An improved convolutional neural network model with adversarial net for multi-label image classication [C]. In: Proceedings of the 15th Pacific Rim International Conference on Artificial Intelligence (PRICAI’18), Part II, LNAI 11013, pp. 38–46. Aug. 28-31, 2018. (EI收录, CCF推荐C类会议)

  16. Zheng Yongzhe, Li Zhixin*, Zhang Canlong. A hybrid architecture based on CNN for image semantic annotation [C]. In: Proceedings of the 9th IFIP TC12 International Conference on Intelligent Information Processing (IIP’16), IFIP AICT 486, pp. 81–90. Nov. 18-21, 2016. (EI收录)

  17. Wei Siting, Li Zhixin*, Zhang Canlong. A semi-supervised clustering ensemble approach integrated constraint-based and metric-based [C]. In: Proceedings of the 7th ACM International Conference on Internet Multimedia Computing and Service (ICIMCS’15), pp. 26:1–26:6. Aug. 19-21, 2015. (EI收录)

  18. Li Zhixin*, Li Lingzhi, Yan Kaobi, Zhang Canlong. Automatic image annotation based on fuzzy association rule and decision tree [C].  In: Proceedings of the 7th ACM International Conference on Internet Multimedia Computing and Service (ICIMCS’15), pp. 12:1–12:6. Aug. 19-21, 2015. (EI收录)

  19. Zeng Peilong, Li Zhixin*, Zhang Canlong. Scene classification using spatial and color features [C]. In: Proceedings of the 8th IFIP TC12 International Conference on Intelligent Information Processing (IIP’14), IFIP AICT 432, pp. 259–268. Oct. 17-20, 2014. (EI收录)

  20. Wang Chaojun, Li Zhixin*, Zhang Canlong. A multi-instance multi-label learning framework of image retrieval [C]. In: Proceedings of the 8th IFIP TC12 International Conference on Intelligent Information Processing (IIP’14), IFIP AICT 432, pp. 239–248. Oct. 17-20, 2014. (EI收录)

  21. Zhao Weizhong*, Ma Huifang, Li Zhixin, Li Ning. Supervised-LDA: A probabilistic topic model for collaborative filtering [C]. In: Proceedings of the 5th International Conference on Machine Learning and Cybernetics (ICMLC’13), vol. 2, pp. 646–652. Jul. 14-17, 2013. (EI收录)

  22. Li Zhixin*, Zhao Weizhong, Li Zhiqing, Shi Zhiping. Automatic image annotation and retrieval using hybrid approach [C]. In: Proceedings of the 7th IFIP TC12 International Conference on Intelligent Information Processing (IIP’12), IFIP AICT 385, pp. 347–356. Oct. 12-15, 2012. (EI收录)

  23. Liu Xi*, Shi Zhiping, Li Zhixin, Wang Xishun, Shi Zhongzhi. Sorted label classifier chains for learning images with multi-label [C]. In: Proceedings of the 18th ACM International Conference on Multimedia (MM’10), pp. 951–954. Oct. 25-29, 2010. (EI收录, CCF推荐A类会议)

  24. Ma Huifang*, Li Zhixin, Shi Zhongzhi. Combining the missing link: An incremental topic model of document content and hyperlink [C]. In: Proceedings of the 12th International Asia-Pacific Web Conference (APWEB’10), pp. 229–235. Apr. 6-8, 2010. (EI收录, CCF推荐C类会议)

  25. Li Zhixin*, Shi Zhiping, Liu Xi, Shi Zhongzhi. Automatic image annotation with continuous PLSA [C]. In: Proceedings of the 35th IEEE International Conference on Acoustics, Speech and Signal  Processing (ICASSP’10), pp. 806–809. Mar. 14-19, 2010. (EI收录, CCF推荐B类会议)

  26. Li Zhiqing*, Shi Zhiping, Li Zhixin, Shi Zhongzhi. An efficient coding model for image representation [C]. In: Proceedings of the 16th International Conference on Neural Information Processing (ICONIP’09), Part I, LNCS 5863, pp. 751–758. Dec. 1-5, 2009. (EI收录, CCF推荐C类会议)

  27. Li Zhixin*, Shi Zhiping, Li Zhiqing, Shi Zhongzhi. Modeling latent aspects for  automatic image annotation [C]. In: Proceedings of the 16th IEEE International Conference on Image Processing (ICIP’09), pp. 1857–1860. Nov. 7-11, 2009. (EI收录, CCF推荐C类会议)

  28. Liu Xi*, Shi Zhiping, Li Zhixin, Shi Zhongzhi. CoBoost learning of visual categories with 1st and 2nd order features from Google images [C]. In: Proceedings of the 17th ACM International Conference on Multimedia (MM’09), pp. 533–536. Oct. 19-24, 2009. (EI收录, CCF推荐A类会议)

  29. Liu Xi*, Li Zhixin, Shi Zhiping, Shi Zhongzhi. Filter object categories: Employing visual consistency and semi-supervised approach [C]. In: Proceedings of IEEE International Conference on Multimedia and Expo (ICME’09), pp. 678–681. Jun. 28-Jul. 3, 2009. (EI收录, CCF推荐B类会议)

  30. Li Zhixin*, Liu Xi, Shi Zhiping, Shi Zhongzhi. Learning image semantics with latent aspect model [C]. In: Proceedings of IEEE International Conference on Multimedia and Expo (ICME’09), pp. 366–369. Jun. 28-Jul. 3, 2009. (EI收录, CCF推荐B类会议)


【中文期刊】

  1. 陈圣嘉, 李志欣*, 唐振军, 马慧芳. 基于关系图网络的目标检测[J]. 自动化学报, 2021. (已录用, EI收录, CCF推荐A类中文期刊)

  2. 李志欣*, 魏海洋, 张灿龙, 马慧芳, 史忠植. 图像描述生成研究进展[J]. 计算机研究与发展, 2021. (已录用, EI收录, CCF推荐A类中文期刊)

  3. 李志欣*, 凌锋, 张灿龙, 马慧芳. 融合两级相似度的跨媒体图像文本检索[J]. 电子学报, 2021. (已录用, EI收录, CCF推荐A类中文期刊)

  4. 李志欣*, 黄飞成, 吴璟莉, 马慧芳. 集成内部知识与外部知识的图像描述生成[J]. 自动化学报, 2021. (已录用, EI收录, CCF推荐A类中文期刊)

  5. 李志欣*, 彭智, 唐素勤, 马慧芳. 融合上下文信息和关键信息的文本摘要[J]. 中文信息学报, 2021. (已录用, CCF推荐B类中文期刊)

  6. 李志欣*, 孙亚茹, 唐素勤, 张灿龙, 马慧芳. 双路注意力引导图卷积网络的关系抽取[J]. 电子学报, 2021. (已录用, EI收录, CCF推荐A类中文期刊)

  7. 李志欣*, 陈圣嘉, 周韬, 马慧芳. 协同级联网络和对抗网络的目标检测[J]. 计算机科学与探索, Sept. 25, 2020. (网络首发, CCF推荐B类中文期刊)

  8. 李志欣*, 魏海洋, 黄飞成, 张灿龙, 马慧芳, 史忠植. 结合视觉特征和场景语义的图像描述生成[J]. 计算机学报, 43(9): 1624–1640, Sept. 1, 2020. (EI收录, CCF推荐A类中文期刊)

  9. 李志欣*, 林兰, 张灿龙, 马慧芳, 赵卫中. 基于自适应加权融合的半监督图像自动标注[J]. 自动化学报, Jun. 24, 2020. (网络首发, EI收录, CCF推荐A类中文期刊)

  10. 唐素勤, 孙亚茹, 李志欣*, 张灿龙. 基于强化学习的壮语词性标注[J]. 计算机工程, 46(4): 309–315, Apr. 15, 2020. (CCF推荐C类中文期刊)

  11. 权宇, 李志欣*, 张灿龙, 马慧芳. 融合深度扩张网络和轻量化网络的目标检测模型[J]. 电子学报, 48(2): 390–397, Feb. 25, 2020. (EI收录, CCF推荐A类中文期刊)

  12. 李志欣*, 周韬, 张灿龙, 马慧芳, 赵卫中. 利用对抗网络改进多标记图像分类[J]. 计算机辅助设计与图形学学报, 32(1): 16–26, Jan. 1, 2020. (EI收录, CCF推荐A类中文期刊)

  13. 刘海姣, 马慧芳*, 昌阳, 李志欣. 基于熵加权属性子空间的目标社区发现[J]. 中文信息学报, 33(8): 111–120, Aug. 20, 2019. (CCF推荐B类中文期刊)

  14. 马慧芳*, 刘文, 李志欣, 蔺想红. 融合耦合距离区分度和强类别特征的短文本相似度计算方法[J]. 电子学报, 47(6): 1331–1336, Jun. 25, 2019. (EI收录, CCF推荐A类中文期刊)

  15. 李志欣*, 兰丹媚, 张灿龙, 唐素勤. 基于Co-Training的微博垃圾评论识别方法[J]. 计算机工程, 44(7): 212–218, Jul. 15, 2018. (CCF推荐C类中文期刊)

  16. 李志欣*, 李艳红, 张灿龙. 一种多特征融合的场景分类方法[J]. 小型微型计算机系统, 39(5): 1085–1091, May 1, 2018. (CCF推荐B类中文期刊)

  17. 李志欣*, 郑永哲, 张灿龙, 史忠植. 结合深度特征与多标记分类的图像语义标注[J]. 计算机辅助设计与图形学学报, 30(2): 318–326, Feb. 1, 2018. (EI收录, CCF推荐A类中文期刊)

  18. 张灿龙*, 唐艳平, 李志欣, 王智文, 蔡冰. 红外可见光目标的空间直方图表示与联合跟踪[J]. 中国图象图形学报, 22(4): 492–501, Apr. 16, 2017. (CCF推荐B类中文期刊)

  19. 韦斯婷, 李志欣*, 张灿龙. 约束与度量相结合的半监督聚类集成[J]. 计算机工程与设计, 37(9): 2440–2446, 2452, Sept. 16, 2016. (CCF推荐C类中文期刊)

  20. 李志欣*, 李灵芝, 张灿龙. 基于模糊关联规则和决策树的图像自动标注[J]. 智能系统学报, 10(4): 636–644, Aug. 25, 2015. (CCF推荐C类中文期刊)

  21. 严考碧, 李志欣*, 张灿龙. 基于主题模型的多示例多标记学习方法[J]. 计算机应用, 35(8): 2233–2237, Aug. 1, 2015. (CCF推荐C类中文期刊)

  22. 张灿龙*, 唐艳平, 李志欣, 马海菲, 蔡冰. 基于二阶空间直方图的双核跟踪[J]. 电子与信息学报, 37(7): 1660–1666, Jul. 1, 2015. (EI收录, CCF推荐C类中文期刊)

  23. 李志欣*, 施智平, 张灿龙, 王金艳. 混合生成式和判别式模型的图像自动标注[J]. 中国图象图形学报, 20(5): 687–699, May 16, 2015. (CCF推荐B类中文期刊)

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