Visual Information Processing and Learning
Visual Information Processing and Learning
Liang Li

Associate Professor

Research area: Computer Vision, Multimedia Content Analysis, Cross-media Intelligence

Liang Li, PhD, Associate Professor. His research area includes multimedia content analysis, computer vision and cross-media intelligence. He has published more than 40 papers in refereed journals and proceedings in the areas of computer vision and pattern recognition, such as IEEE TNNLS, IEEE TMM, IEEE CVPR, IJCAI, ACM Multimedia, DCC, etc. He obtained the Best Paper Award of Gamenets, ESI high-cited paper, translate one book. He is the member of IEEE, ACM, CCF and CAAI. He served as the member of organizing committee of sever international conferences. He also won several awards, namely, 2017 Scholar Star of ICT, Outstanding Award of ACM ICIMCS 2015, Best Paper of Gamenets 2014, 2013 CAS Dean Prize, 2012 ICT Dean Prize, etc.


Academic service
Journal services
  • Multimedia Technology and Application (MTAP) Guest Editor
  • Reviewer: IEEE TMM, IEEE CSVT, IEEE T-SMC, IEEE TIP, PR, Neurocomputing, JVCIR, MTAP, etc
Conference services
  • 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 Orginazating Chair
  • Reviewer: IEEE TMM, IEEE TSMC, PR, Neurocomputing, ACM Multimedia, CVPR, ICME, ICIP, ICIMCS, PCM, etc
Experience
Educational experience
  • 2008.9~2013.6 Institue of Computing Technolgoy, Chinese Academy of Sciences, Major: Computer Application, Doctor Degree
  • 2004.9~2008.7 Xi'an Jiaotong University, Major: Information Engineering, Bachelor Degree
Academic experience
  • ACM SIGMM China Chapter, School Liaisons
Research project

1.   Cross-media feature representation learning for high-level semantic

Project type: NSFC
Project time: 2017.1-2020.12
Project leader: Liang Li

2.   Multi-task sparse feature learning for large scale image understanding

Project type: NSFC
Project time: 2015.01-2017.12
Project leader: Liang Li
Book or Paper

Book

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】

Papers

[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 

Visual Information Processing and Learning
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  • Email:yi.cheng@vipl.ict.ac.cn
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