基本信息

刘静 研究员  

中国科学院自动化研究所 模式识别国家重点实验室

电子邮件:jliu@nlpr.ia.ac.cn 
联系电话:86-10-82544507
通信地址:北京海淀中关村东路95号智能化大厦1302
邮政编码:100190 

研究领域

多媒体分析、理解与检索;移动媒体计算与应用;深度学习算法

招生信息

   
招生专业
081104-模式识别与智能系统
081203-计算机应用技术
招生方向

网络图像分析、理解与检索
基于深度学习的目标分类、检测与分割
移动媒体计算及相关应用

招生要求
专业背景不限,但需对科研怀有强烈的兴趣,具有良好的数学基础、编程能力以及自主学习能力。 
由于招生数量有限,希望提前与我联系。 
另招收少量实习生,要求计算机相关专业的在读本科或研究生,具有较强的编程能力,实习期半年以上者优先。

教育背景

2004-09--2008-01 中国科学院自动化研究所 博士
2001-09--2004-06 山东大学 硕士
1997-09--2001-06 山东大学 本科

工作经历

2015-11--至今        中国科学院自动化研究所 模式识别国家重点实验室 研究员

2010-11--2015-10 中国科学院自动化研究所 模式识别国家重点实验室 副研究员

2008-01--2010-10 中国科学院自动化研究所 模式识别国家重点实验室 助理研究员

专利成果

(1)深度反卷积特征学习网络、生成方法及图像分类方法,发明专利(实审),专利号:201410687304
(2)联合显著性检测与判别式学习的目标前景协同分割方法,发明专利(实审),专利号:201310316589 
(3)融合地理信息与视觉信息的网络新闻检索系统及方法,发明专利(已授权),专利号:201110352002
(4)基于提升稀疏约束双线性模型的图像分类方法,发明专利(已授权),专利号:201110081240
(5)基于视频监控网络的视频自动浓缩方法,发明专利(已授权),专利号:201110208090
(6)视觉信息辅助的即时通信方法及系统,发明专利(已授权),专利号:201110441927
(7)一种新闻检索结果的多媒体摘要生成方法,发明专利(已授权),专利号:201110455758

论文发表

   
书/章节
1. Jing Liu*, Zechao li, Hanqing Lu, Correlation Mining for News Retrieval, Chapter 33 for the book titled as Social Networks: Computational Aspects and Mining, published by Springer in the Series "Computer and Communication Networks" - 2011
期刊论文

1. Jing Liu, Yu Jiang, Zechao Li, Xi Zhang, Hanqing Lu, Domain-Sensitive Recommendation with User-Item Subgroup Analysis. IEEE Trans. Knowl. Data Eng. 28(4): 939-950 (2016)

2. Yong Li, Jing Liu, Zechao Li, Hanqing Lu, Songde Ma: Object co-segmentation via salient and common regions discovery. Neurocomputing 172: 225-234 (2016)

3. Zechao Li, Jing Liu*, Jinhui Tang, Hanqing Lu, Robust Structured Subspace Learning for Data Representation.  IEEE Trans. on Pattern Analysis and Machine Intelligence (T-PAMI), 37(10): 2085-2098 (2015)

4. Jing Liu*, Bingyuan Liu, Hanqing Lu, Detection Guided Deconvolutional Network for Hierarchical Feature Learning, Pattern Recognition (PR), 48(8): 2645-2655 (2015)

5. Jing Liu*, Yu Jiang, Zechao Li, Zhi-Hua Zhou, and Hanqing Lu, Partially Shared Latent Factor Learning with Multi-View Data, IEEE Transactions on Neural Networks and Learning Systems (T-NNLS). 26(6): 1233-1246 (2015)   

6. Bingyuan Liu, Jing Liu* and Hanqing Lu. Learning Representative and Discriminative Image Representation by Deep Appearance and Spatial Coding. Computer Vision and Image Understanding (CVIU), 136: 23-31 (2015)

7. Yang Liu, Zechao Li, Jing Liu*, Hanqing Lu: Boosted MIML method for weakly-supervised image semantic segmentation. Multimedia Tools Appl. 74(2): 543-559 (2015)

8. Changsheng Li, Qingshan Liu, Jing Liu, Hanqing Lu: Ordinal Distance Metric Learning for Image Ranking. IEEE Trans. Neural Netw. Learning Syst. 26(7): 1551-1559 (2015)

9. Jing Liu*, Zechao Li, Hanqing Lu: Sparse semantic metric learning for image retrieval. Multimedia System 20(6): 635-643 (2014)

10. Jing Liu*, Zechao Li, Jinhui Tang, Yu Jiang, Hanqing Lu: Personalized Geo-Specific Tag Recommendation for Photos on Social Websites. IEEE Transactions on Multimedia (T-MM) 16(3): 588-600 (2014)

11. Yong Li, Jing Liu*, Hanqing Lu, Songde Ma: Learning Robust Face Representation With Classwise Block-Diagonal Structure. IEEE Transactions on Information Forensics and Security (T-IFS), 9(12): 2051-2062 (2014)

12. Zechao Li, Jing Liu*, Yi Yang, Xiaofang Zhou, Hanqing Lu: Clustering-Guided Sparse Structural Learning for Unsupervised Feature Selection. IEEE Trans. Knowl. Data Eng. 26(9): 2138-2150 (2014)

13. Chunjie Zhang, Jing Liu*, Chao Liang, Zhe Xue, Junbiao Pang, Qingming Huang: Image classification by non-negative sparse coding, correlation constrained low-rank and sparse decomposition. Computer Vision and Image Understanding (CVIU), 123: 14-22 (2014)

14. Xiaobin Zhu, Jing Liu*, Jinqiao Wang, Changsheng Li, Hanqing Lu: Sparse representation for robust abnormality detection in crowded scenes. Pattern Recognition (PR), 47(5): 1791-1799 (2014)

15. Zechao Li, Jing Liu*, Changsheng Xu, and Hanqing Lu: MLRank: Multi-correlation Learning to Rank for image annotation. Pattern Recognition 46(10): 2700-2710 (2013)

16. Zechao Li, Jing Liu*, Meng Wang, Changsheng Xu, Hanqing Lu: Enhancing news organization for convenient retrieval and browsing. ACM Transactions on Multimedia Computing, Communications and Applications (TOMCCAP) 10(1): 1 (2013)

17. Chunjie Zhang, Jing Liu*, Chao Liang, Qingming Huang, Qi Tian: Image classification using Harr-like transformation of local features with coding residuals. Signal Processing 93(8): 2111-2118 (2013)

18. Jing Liu, Yifan Zhang, Zechao Li, Hanqing Lu and Songde Ma. "Correlation Consistency Constrained Probabilistic Matrix Factorization for Social Tag Refinement". Neurocomputing 119: 3-9, 2013.

19. Jitao Sang, Changsheng Xu, Jing Liu. User-aware Image Tag Refinement via Ternary Semantic Analysis, IEEE Transactions on Multimedia (T-MM) , 14(3):883-895, 2012

20. Tianzhu Zhang, Jing Liu, Si Liu, Changsheng Xu, Hanqing Lu, Boosted Exemplar Learning for Action Recognition and Annotation, IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 21(7), 2011, pp853-866.

21. Chunjie Zhang, Jing Liu, Qi Tian, Hanqing Lu, Songde Ma, Boosting Sparsity Constrained Bi-Linear Model for Object Recognition, IEEE Multimedia Magazine,19(2) , 2012, pp58-68

22. Jing Liu*, Changsheng Xu, Hanqing Lu, Cross-media retrieval: state-of-the-art and open issues, International Journal of Multimedia Intelligence and Security, 2010,1(1), pp 33-52.

23. Jing Liu*, Mingjing Li, Qingshan Liu, Hanqing Lu, Songde Ma, Image Annotation via Graph Learning, Pattern Recognition, 42(2), 2009, pp 218-228.

24. Jing Liu*, Bin Wang, Hanqing Lu, Songde Ma, A Graph-Based Image Annotation Framework, Pattern Recognition Letters, 29 (4), 2008, pp 407-415.


国际会议论文

1. Yong Li, Jing Liu, Yuhang Wang, Hanqing Lu, Songde Ma, Weakly Supervised RBM for Semantic Segmentation, International Joint Conference on Artificial Intelligence (IJCAI), 2015.

2. Yuhang Wang, Jing Liu, Jinqiao Wang, Yong Li, Hanqing Lu, Color Names Learning Using Convolutional Neural Networks, International Conference on Image Processing (ICIP), 2015.

3. Peng Ying, Jing Liu, Hanqing Lu, Songde Ma, Weakly-Supervised Image Semantic Segmentation via Joint Dual Clustering and Dictionary learning, International Conference on Image Processing (ICIP), 2015.

4. Peng Ying, Jing Liu, Hanqing Lu, Songde Ma: Exclusive Constrained Discriminative Learning for Weakly-Supervised Semantic Segmentation. ACM Multimedia 2015: 1251-1254

5. Yuhang Wang, Jing Liu, Yong Li, Hanqing Lu: Semi- and Weakly- Supervised Semantic Segmentation with Deep Convolutional Neural Networks. ACM Multimedia 2015: 1223-1226

6. Bingyuan Liu, Jing Liu, Zechao Li, Hanqing Lu: Image Representation Learning by Deep Appearance and Spatial Coding. ACCV (1) 2014: 659-672

7. Yong Li, Jing Liu, Zechao Li, Yangmuzi Zhang, Hanqing Lu, Songde Ma: Learning Low-Rank Representations with Classwise Block-Diagonal Structure for Robust Face Recognition. AAAI 2014: 2810-2816

8. Cam-Tu Nguyen, Xiaoliang Wang, Jing Liu, Zhi-Hua Zhou: Labeling Complicated Objects: Multi-View Multi-Instance Multi-Label Learning. AAAI 2014: 2013-2019

9. Yong Li, Jing Liu, Zechao Li, Yang Liu, Hanqing Lu, Object Co-segmentation via Discriminative Low rank Matrix Recovery, ACM Multimedia Conference (MM), 2013: 749-752.

10. Yu Jiang, Jing Liu, Xi Zhang, Hanqing Lu, Zechao Li, Hanqing Lu, TCRec: Product Recommendation via Exploiting Social-trust Network and Product Category Information, International World Wide Web Conference (WWW) 2013, 233-234.

11. Yang Liu, Jing Liu, Zechao Li, Jin Hui Tang , Hanqing Lu, Weakly-Supervised Dual Clustering for Image Semantic Segmentation, IEEE Computer Vision and Pattern Recognition (CVPR), 2013: 2075-2082.

12. Yu Jiang, Jing Liu, Zechao Li, Hanqing Lu, CoPLSA: Co-Regularized PLSA for Multi-View Clustering, ACCV, 2012.

13. Yang Liu, Jing Liu, Zechao Li, Hanqing Lu, Social Tag Alignment with Image Regions by Sparse Reconstructions , ACM Multimedia Conference (MM), 2012.

14.Zechao Li, Yi Yang, Jing Liu, Xiaofang Zhou and Hanqing Lu. Unsupervised Feature Selection Using Nonnegative Spectral Analysis. Association for the Advancement of Artificial Intelligence (AAAI), 2012.

15. Jing Liu, Chunjie Zhang, Qi Tian, Changsheng Xu, Hanqing Lu and Songde Ma. One Step Beyond Bags of Features: Visual Categorization Using Components. In Proceedings of IEEE International Conference on Image Processing, 2011, pp 2465-2468.

16. Zechao Li, Meng Wang, Jing Liu, Changsheng Xu, Hanqing Lu, News Contextualization with Geographic and Visual Information, ACM Multimedia Conference (MM), 2011, pp 133-142.

17. Chunjie Zhang, Jing Liu, Qi Tian, Changsheng Xu, Hanqing Lu and Songde Ma. Image Classification by Non-Negative Sparse Coding, Low-Rank and Sparse Decomposition. IEEE Computer Vision and Pattern Recognition (CVPR), 2011, pp 1673-1680.

18. Zechao Li, Jing Liu, Xiaobin Zhu, Hanqing Lu, Multi-Modal Multi-Correlation Person-Centric News Retrieval, the ACM Conference on Information and Knowledge Management (CIKM), 2010, pp 179-188.

19. Chunjie Zhang, Jing Liu, Qi Tian, Changsheng Xu, Hanqing Lu, Image Classification Using Spatial Pyramid Coding and Visual Word Reweighting, The Tenth Asian Conference on Computer Vision (ACCV), 2010.

20. Haoyang Ding, Jing Liu, Hanqing Lu, Hierarchical Clustering-Based Navigation of Image Search Results, Proceedings of the ACM Multimedia Conference, 2008.

21. Jing Liu, Bin Wang, Mingjing Li, Zhiwei Li, Weiying Ma, Hanqing Lu, Songde Ma, Dual Cross-Media Relevance Model for Image Annotation, Proceedings of the ACM Multimedia Conference, 2007, pp 605-614.

22. Jing Liu, Zhiwei Li, Mingjing Li, Hanqing Lu, Songde Ma, Human Behavior Consistent Relevance Feedback Model for Image Retrieval, Proceedings of the ACM Multimedia Conference, 2007, pp 269-272.

23. Jing Liu, Mingjing Li, Qingshan Liu, Hanqing Lu, Songde Ma, Image Annotation Refinement Using NSC-Based Word Correlation, IEEE International Conference on Multimedia And Expo., 2007, pp 799-802.

24. Jing Liu, Mingjing Li, Weiying Ma, Qingshan Liu, and Hanqing Lu, An Adaptive Graph Model for Automatic Image Annotation, ACM Workshop on Multimedia Information Retrieval, 2006, pp 62-69.

25. Jing Liu, Qingshan Liu, Jinqiao Wang, Hanqing Lu, Web Image Mining based on Modeling Concept-Sensitive Salient Regions, IEEE International Conference on Multimedia And Expo., 2006, pp 505-508.

承担科研项目

(1)基于目标语义的网络图像检索技术研究,主持,国家自然基金面上项目,2015/01--2018/12
(2)基于社会标签的图像标注与标签推荐,主持,国家自然基金面上项目,2013/01--2016/12
(3)智能视频检索技术,主持,与企业合作项目,2012/12--2013/12
(4)物理与网络空间的协同感知,主持,国家973二级子课题,2012/01--2016/12
(5)基于跨媒体信息挖掘的网络舆情分析研究,主持,国家自然基金青年项目,2010/01--2012/12
(6)网络内容监管与舆情监测关键技术研究,主持,中科院知识创新工程子课题,2009/12--2010/12
(7)基于多模态信息融合的网络图像与视频理解,主持,模式识别国家重点实验室青年基金项目,2009/06--2011/05

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