中科院计算所视觉信息处理与学习组
中科院计算所视觉信息处理与学习组
李亮

职 称:副研究员

电子邮箱:liang.li@ict.ac.cn

通讯地址:北京市海淀区中关村科学院南路6号计算所

研究方向:计算机视觉、多媒体内容分析、跨媒体智能

 李亮,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向的研究,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,谷歌引用950余次,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年中科院院长优秀奖、2012年计算所所长特别奖、2008年Robocon亚太大学生机器人大赛国内赛和国际赛冠军等。

学术服务
刊物服务
  • Multimedia Technology and Application (MTAP) 客座编辑
  • IEEE TIP, IEEE TNNLS, IEEE TMM, IEEE CSVT, IEEE T-SMC, PR, Neurocomputing, JVCIR, MTAP等国际期刊审稿人
会议服务
  • ACM Multimedia Asia 2019, Local Arrangement Chair
  • IEEE GlobalSIP2017 Symposium of Knowledge-based Multimedia Computing, General Co-chair
  • International Conference on Internet Multimedia Computing and Service (ICIMCS) 2017 Special Session Chair
  • Pacific Rim Conference on Multimedia (PCM) 2017 Local Chair
  • International Conference on Internet Multimedia Computing and Service (ICIMCS) 2015 Organization Chair
  • IEEE TMM, IEEE TSMC, PR, Neurocomputing, ACM Multimedia, CVPR, ICME, ICIP, ICIMCS, PCM等国际期刊和会议审稿人
经历
教育经历
  • 2008.9~2013.6 中国科学院计算技术研究所 中科院智能信息处理重点实验室 计算机应用技术专业 工学博士
  • 2004.9~2008.7 西安交通大学 信息工程专业
学术经历
  • ACM SIGMM China Chapter高校合作联系人
科研项目

1.   面向大数据环境的高通量视觉计算

项目类型:国家自然科学基金重点项目子课题
项目时间:2018.1.1-2022.12.31
项目负责人:李亮

2.   面向高层语义的跨媒体特征表达机制研究

项目类型:国家自然科学基金面上项目
项目时间:2017.1-2020.12
项目负责人:李亮

3.   基于多任务稀疏特征学习的海量图像理解方法研究

项目类型:国家自然科学基金青年基金
项目时间:2015.01-2017.12
项目负责人:李亮

4.   基于深度学习和多任务稀疏特征的海量图像理解方法

项目类型:中国博士后科学基金特别资助
项目时间:2014.06-2015.12
项目负责人:李亮

5.   基于混合范式正则化的海量图像理解方法

项目类型:中国博士后科学基金面上一等资助
项目时间:2013.10-2015.07
项目负责人:李亮
著论

著作

1.   《CUDA C编程权威指南》【美】 John Cheng, Max Grossman, Ty McKercher 著. 颜成钢,殷建,李亮 译. 北京:机械工业出版社,2017年6月. ISBN:9787111565475 【pdf】

论文

1. Shijie Yang, Liang Li*, Shuhui Wang, Qingming Huang and Qi Tian. SRN: Structured Stochastic Recurrent Network for Linguistic Video Prediction. ACM MM 2019 (CCF A类会议)
2. Xuejing Liu, Liang Li, Shuhui Wang, Zheng-jun Zha, Qingming Huang. Knowledge-guided Pairwise Reconstruction Network for Weakly Supervised Referring Expression Grounding. ACM MM 2019 (CCF A类会议)
3. Peng Zhang, Li Su, Guorong Li, Liang Li, Qingming Huang. Efficient Saliency Prediction Models with Knowledge Distillation. ACM MM 2019 (CCF A类会议)
4. Shijie Yang, Liang Li*, Shuhui Wang, Weigang Zhang, Qingming Huang and Qi Tian. SkeletonNet: A Hybrid Network With a Skeleton-Embedding Process for Multi-View Image Representation Learning, IEEE TMM 2019 (JCR一区期刊)
5. Chenggang Yan, Liang Li*, Chunjie Zhang, Bingtao Liu, Yongdong Zhang, Qionghai Dai. Cross-modality Bridging and Knowledge Transferring for Image Understanding, IEEE TMM 2019 (JCR一区期刊)
6. Shuhui Wang, Liang Li*, Chenxue Yang, Qingming Huang. Regularized topic-aware latent influence propagation in dynamic relational networks. Geoinformatica, 2019.
7. Jiaqi Sun, Liang Li*, Liang Zheng, Ji Hu, Wenchao Li, Yatong Jiang, Chenggang Yan. Image Classification base on PCA of Multi-view Deep Representation. JVCIR, 2019
8. Ling Hu, Shuhui Wang, Liang Li, Qingming Huang. Two-stream Sparse Network for Accurate Image Super-resolution. IEEE ICME workshop 2019.
9. Liang Li*, Shuhui Wang, Shuqiang Jiang, Qingming Huang, “Attentive Recurrent Neural Network Weak-supervised Multi-label Image Classification”, ACMMM 2018. (CCF A类会议) 
10. Ling Hu, Shuhui Wang, Liang Li, Qingming Huang. How Functions Evolve in Deep Convolutional Neural Network. IEEE ICSP 2018
11. Yongjian Xin, Shuhui Wang, Liang Li, Qingming Huang, Reverse Densely Connected Feature Pyramid Network for Object Detection. ACCV2018
12. Yangyu Chen, Shuhui Wang, Weigang Zhang, Liang Li, Qingming Huang, Saliency-Based Spatiotemporal Attention for Video Captioning, IEEE BigMM 2018
13. Shuhui Wang, Liang Li, Chenxue Yang and Qingming Huang. Regularized Topic-aware Latent Influence Propagation in Dynamic Relational Networks. MATES workshop VLDB, 2018. (CCF A类会议)
14. Liang Li*, Zi Huang, Zheng-jun Zha, Shuqiang Jiang, Guest Editorial: Knowledge-Based Multimedia Computing. Multimedia Tools Appl. 76(23): 24955-24959, 2017
15. Xinge Zhu, Liang Li*, Weigang Zhang, T. Rao, Min Xu, Qingming Huang, Dong Xu, Dependency Exploitation: A Unified CNN-RNN Approach for Visual Emotion Recognition IJCAI 2017 (CCF A类会议)
16. 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 (CCF A类会议)
17. Xingjie Yu, Zhan Wang, Liang Li*, et al. EvoPass: evolvable graphical password against shoulder-surfing attacks. Computers&Security17 
18. Shijie Yang, Liang Li, et al. Multi-view Subspace Learning with Diversity Enforced Skeleton Embedding, IEEE Bigmm 2017
19. Minfeng Zhan, Liang Li, et al., Cross-media Retrieval with Semantic Clustering and Enhancement, IEEE ICME 2017
20. Hongyang Yu, Lei Qin, Qingming Huang, Hongxun Yao, Liang Li,Online multi-target tracking via depth range segmentation. IEEE Global Conference on Signal and Information Processing (GlobalSIP) 2017
21. Binbin Lv, Liang Li* and Chenggang Yan, 3D Laser Scanning under the Pin-hole Camera with Lens Distortion, Machine Vision and Applications 2017
22. Liang Li, Chenggang Yan, Xin Chen, Chunjie Zhang, Jian Yin, Baochen Jiang, Qingming Huang. Distributed image understanding with semantic dictionary and semantic expansion. Neurocomputing2016 
23. Chunjie Zhang, Chao Liang, Liang Li, et al. Fine-grained image classification via low-rank sparse coding with general and class-specific codebooks, IEEE Transactions on Neural Networks and Learning Systems, 2016  (JCR一区期刊)
24. Fei Tao, Junbiao Pang, Chunjie Zhang, Liang Li, et al., Robust Latent Poisson Deconvolution From Multiple Imperfect Features For Web Topic Detection, IEEE ICME 2016
25. Hongrun Ma, Liang Li*, Yongquan Liang, Junpeng Chen and Jian Yin. Efficient virtual network transmission using correlated equilibrium on Xen-based platform, JVCIR2016
26. Liang Li, Chenggang Yan, Wen Ji, Bowen Chen, Shuqiang Jiang, Qingming Huang. LSH-based semantic dictionary learning for large scale image understanding. JVCIR15, Vol. 31, Pages. 231-236, 2015
27. Zhiyi Wang, Liang Li, et al. Cross-media Topic Detection with Refined CNN based Image-Dominant Topic Model, ACM Multimedia2015 
28. Zhiyi Wang, Liang Li, et al. Image-regulated Graph Topic Model for Cross-media Topic Detection, ACM ICIMCS2015 (EI)
29. 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 EAI Gamenets, 2014 (EI, Best Paper Award)
30. Xinhang Song, Shuqiang Jiang, Shuhui Wang, Liang Li, et al. Polysemious Visual Representation Based on Feature Aggregation for Large Scale Image Applications. Multimedia Tools and Application, 2014 (SCI)
31. Chenggang Yan, Yongdong Zhang, Jizheng Xu, Feng Dai, Liang Li, et al. A Highly Parallel Framework for HEVC Coding Unit Partitioning Tree Decision on Many-core Processors, IEEE Signal Process. Lett. (SPL) 21(5):573-576, 2014 (SCI, ESI 全球高被引论文,2014年IEEE SPL全部300篇期刊引用排名第一)
32. Chenggang Yan, Yongdong Zhang, Feng Dai, Xi Wang, Liang Li, et al. Parallel deblocking filter for HEVC on many-core processor, Electronics Letters, 50(5), Pages: 367 – 368, ISSN : 0013-5194, 2014 (SCI)
33. Chenggang Yan, Yongdong Zhang, Feng Dai, Jun Zhang, Liang Li et al. Efficient Parallel HEVC Intra Prediction on Many-core Processor, Electronics Letters,50(11): 805-806, May, 2014 (SCI)
34. Liang Li, Shuqiang Jiang, Zheng-Jun Zha, Zhipeng Wu and Qingming Huang, Partial-Duplicate Image Retrieval via Saliency-guided Visually Matching, IEEE Multimedia, Vol.20, No.3, pp.13-23, August, 2013
35. Liang Li, Shuqiang Jiang and Qingming Huang, Learning Hierarchical Semantic Description via Mixed-norm Regularization for Image Understanding, IEEE Trans. on Multimedia, Vol.14, No.5, pp.1401-1413, 2012  (JCR一区期刊)
36. Liang Li, Shuqiang Jiang and Qingming Huang, Learning Vicept Description via Mixed-Norm Regularization for Large-scale Semantic Image Search, IEEE CVPR2011 (CCF A类会议)
37. Chunjie Zhang, Xiaobin Zhu, Liang Li*, Yifan Zhang, Jing Liu, Qingming Huang, Qi Tian. Joint image representation and classification in random semantic spaces. Neurocomputing 156 (2015), 79–85
38. Chenggang Yan, Liang Li*, Zhan Wang, Jian Yin, Hailong Shi, Shuqiang Jiang, Qingming Huang: Fusing multi-cues description for partial-duplicate image retrieval. JVCIR 25(7):1726-1731, 2014
39. 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 (EI)
40. Chenggang Yan, Yongdong Zhang, Feng Dai and Liang Li, Highly Parallel Framework for HEVC Motion Estimation on Many-core Platform, Data Compress Conference, DCC2013
41. Chenggang Yan, Yongdong Zhang, Feng Dai and Liang Li, Efficient Parallel Framework for HEVC De-blocking Filter on Many-core Platform, DCC2013
42. Liang Li, Zhipeng Wu, Zheng-Jun Zha, Shuqiang Jiang and Qingming Huang, Matching Content-based Saliency Region for Partial Duplicate Image Detection, IEEE International Conference on Multimedia Expo, Oral paper, IEEE ICME2011
43. Liang Li, Shuqiang Jiang and Qingming Huang, Online Vicept Extension for Web-scale Image Understanding, IEEE International Conference on Image Processing, IEEE ICIP2011
44. Liang Li, Shuqiang Jiang and Qingming Huang, Multi-description of Local Interest Point for Partial Duplicate Image Retrieval, IEEE International Conference on Image Processing 2010 (EI)
45. Zhipeng Wu, Qianqian Xu, Shuqiang Jiang, Qingming Huang, Peng Cui and Liang Li. Adding Affine Invariant Geometric Constraint for Partial Duplicate Image Retrieval, IEEE ICPR, Pages: 842-845, 2010 (EI).
46. 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 Multimedia, 2010


视觉信息处理和学习组
  • 单位地址:北京海淀区中关村科学院南路6号
  • 邮编:100190
  • 联系电话:010-62600514
  • Email:yi.cheng@vipl.ict.ac.cn
  • Valse

  • 深度学习大讲堂

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