李亮

中国科学院计算技术研究所

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  • 李亮
  • 副研究员
简历:

2017.10~至今 中国科学院计算技术研究所,副研究员 2016.5~2017.9 中国科学院计算技术研究所,助理研究员 2013.6~2016.5 中国科学院大学,博士后 2008.9~2013.6 中国科学院计算技术研究所,博士 2004.9~2008.8 西安交通大学,本科

李亮,1986年出生,博士,副研究员。主要从事多媒体内容分析、计算机视觉和跨媒体智能等方面的研究,在计算机视觉和多媒体领域的国际顶级期刊和会议IEEE TMM, IEEE TNNLS, IEEE CVPR, IJCAI, DCC, ACM Multimedia等上发表和录用论文40余篇,获国际会议最佳论文奖1次, ESI高被引文章1篇,编写译著1部。是IEEE会员、ACM会员、CCF和CAAI会员,担任多个国际学术会议的组织委员会成员。获2017年计算所“学术百星”、2015年 ACM ICIMCS杰出服务奖、2014年Gamenets最佳论文奖、2013年中国科学院院长优秀奖、2012年计算所所长特别奖等。

研究方向:

多媒体内容分析、计算机视觉、跨媒体智能

社会任职:
获奖及荣誉:
代表论著:

[1] Shijie Yang, Liang Li, Shuhui Wang, Weigang Zhang and Qingming Huang, A Graph Regularized Deep Neural Network for Unsupervised Image Representation Learning, IEEE CVPR 2017 [2] Xinge Zhu, Liang Li, Weigang Zhang, Tianrong Rao, Min Xu, Qingming Huang, Dong Xu, Dependency Exploitation: A Unified CNN-RNN Approach for Visual Emotion Recognition, IJCAI 2017 [3] Chunjie Zhang, Jian Cheng, Liang Li, Changsheng Li, Qi Tian, Object Categorization Using class-specific Representations, IEEE TNNLS, 2017 [4] Liang Li, Chenggang Yan, Xin Chen, Chunjie Zhang, Jian Yin, Baochen Jiang, Qingming Huang. Distributed image understanding with semantic dictionary and semantic expansion. Neurocomputing2016 [5] Liang Li, Wen Ji, Shuqiang Jiang, Qingming Huang. LSH-based semantic dictionary learning for large scale image understanding. JVCIR2015 [6] Liang Li, Chenggang Yan, Xing Chen, Bo Wu, Shuqiang Jiang, Seungmin Rho, Jian Yin, Baochen Jiang and Qingming Huang. Large scale image understanding with non-convex multi-task learning, 5th International Conference on Game Theory for Networks 2014 [7] Liang Li, Shuqiang Jiang, Zheng-Jun Zha, Zhipeng Wu and Qingming Huang, Partial-Duplicate Image Retrieval via Saliency-guided Visually Matching, IEEE Multimedia 2013 [8] Liang Li, Shuqiang Jiang and Qingming Huang, Learning hierarchical semantic description via mixed-norm regularization for image understanding, IEEE TMM2012 [9] Liang Li, Shuqiang Jiang and Qingming Huang, Learning Vicept Description via Mixed-Norm Regularization for Large-scale Semantic Image Search, IEEE CVPR2011 [10] Liang Li, Zhipeng Wu, Zheng-Jun Zha, Shuqiang, Matching Content-based Saliency Region for Partial Duplicate Image Detection, IEEE ICME2011 [11] Liang Li, Shuqiang Jiang and Qingming Huang, Online Vicept Extension for Web-scale Image Understanding, IEEE ICIP2011 [12] Liang Li, S. Jiang and Q. Huang, Multi-description of local interest point for partial duplicate image retrieval, IEEE ICIP10 [13] Xingjie Yu, Zhan Wang, Yingjiu Li, Liang Li, Wentao Zhu, Li Song. EvoPass: evolvable graphical password against shoulder-surfing attacks. Elsevier Computers & Security 2017. [14] Binbin Lv, Liang Li and Chenggang Yan, 3D Laser Scanning under the Pin-hole Camera with Lens Distortion, MVA2017 [15] Shijie Yang, Liang Li, Shuhui Wang, Weigang Zhang and Qingming Huang, Multi-view Subspace Learning with Diversity Enforced Skeleton Embedding, IEEE Bigmm 2017 [16] Minfeng Zhan, Liang Li, Qingming Huang, Cross-media Retrieval with Semantic Clustering and Enhancement, IEEE ICME 2017 [17] Hongyang Yu, Lei Qin, Hongxun Yao, Liang Li, Qingming Huang, Online Multi-target Tracking Via Depth Range Segmentation, IEEE GlobalSIP17. [18] Chunjie Zhang, Chao Liang, Liang Li, Jing Liu, Qingming Huang, Qi Tian, Fine-grained image classification via low-rank sparse coding with general and class-specific codebooks, IEEE Transactions on Neural Networks and Learning Systems, 2016 [19] Hongrun Ma, Liang Li, Yongquan Liang, Junpeng Chen and Jian Yin. Efficient virtual network transmission using correlated equilibrium on Xen-based platform, JVCIR2016 [20] Fei Tao, Junbiao Pang, Chunjie Zhang, Liang Li, Weigang Zhang, Qingming Huang, Guiping Su, Robust Latent Poisson Deconvolution From Multiple Imperfect Features For Web Topic Detection, IEEE ICME 2016 [21] Zhiyi Wang, Liang Li, Qingming Huang. Cross-media Topic Detection with Refined CNN based Image-Dominant Topic Model, ACM Multimedia2015 [22] Zhiyi Wang, Liang Li, Chunjie Zhang, Qingming Huang, Image-regulated Graph Topic Model for Cross-media Topic Detection, ACM ICIMCS2015 [23] Chunjie Zhang, Liang Li, Yifan Zhang, Jing Liu, Qingming Huang, Qi Tian. Joint image representation and classification in random semantic spaces. Neurocomputing 2015 [24] Chenggang Yan, Liang Li, Shuqiang Jiang, et al.: Fusing multi-cues description for partial-duplicate image retrieval. JVCIR2014[25] Xinhang Song, Shuqiang Jiang, Shuhui Wang, Liang Li, Qingming Huang . Polysemious Visual Representation Based on Feature Aggregation for Large Scale Image Applications. Multimedia Tools and Application, 2014 [26] Chenggang Yan, Yongdong Zhang, Jizheng Xu, Feng Dai, Liang Li, Qionghai Dai and Feng Wu, A Highly Parallel Framework for HEVC Coding Unit Partitioning Tree Decision on Many-core Processors, IEEE Signal Process. Lett. 2014 [27] Zhan Wang, Jiwu Jing and Liang Li, “Time Evolving Graphical Password for Securing Mobile Devices”, ACM Symposium on Information, Computer and Communications Security, Asia CCS2013 [28] Chenggang Yan, Yongdong Zhang, Feng Dai and Liang Li, Highly Parallel Framework for HEVC Motion Estimation on Many-core Platform, Data Compress Conference, DCC2013 [29] Zhipeng Wu, Qianqian Xu, Shuqiang Jiang, Qingming Huang, Peng Cui and Liang Li. Adding Affine Invariant Geometric Constraint for Partial Duplicate Image Retrieval, IEEE ICPR2010 [30] Zhipeng Wu, Shuqiang Jiang, Liang Li, Peng Cui, Qingming Huang and Wen Gao, Vicept: Link Visual Features to Concepts for Large-scale Image Understanding, ACM MM2010

承担科研项目情况:

[1] 面向高层语义的跨媒体特征表达机制研究,国家自然科学基金面上项目,2018-2021,课题负责人; [2] 大规模网络直播视频流实时分析,国家自然科学基金应急管理项目,2017-2018,核心骨干; [3] 网络大数据下的主流媒体内容感知、交互与分析展示技术,国家自然科学基金联合基金重点项目,2017-2021,核心骨干; [4] 基于多任务稀疏特征学习的海量图像理解方法研究,国家自然科学基金青年基金,2015-2017,课题负责人; [5] 基于深度学习和多任务稀疏特征的海量图像理解方法,中国博士后科学基金特别资助,2014-2016,课题负责人; [6] 基于混合范式正则化的海量图像理解方法,中国博士后科学基金面上一等资助,2013-2015,课题负责人; [7] 跨媒体语义学习与内容理解,973项目课题,2012-2016,核心骨干。

学科类别:
计算机应用技术
所属部门:
智能信息处理重点实验室
专家类别:
副高
杰青入选时间:
百人入选时间:
其他备注:
硕导计算机应用技术
其他备注2:
其他备注3: