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Journal Articles
Qi Mao, Ivor W. Tsang, Shenghua Gao, and Li Wang. Generalized Multiple Kernel
Learning with Data-Dependent Priors. IEEE Transactions on Neural Networks and Learning Systems
(TNNLS), 2014. To appear.
Shenghua Gao,Yuting Zhang, Yi Ma. Single Training Sample Face Recognition via Deep Supervised
Auto-Encoders. Submitted to TMM
Shenghua Gao, Kui Jia, Tsung-Han Chan, Zinan Zeng, Yi Ma. Patch Set Based Representation for
Alignment-Free Image Set Classification. Submitted to TIP (2nd round review)
Shenghua Gao, Lixin Duan, Ivor Tsang, Yi Ma. When Conventional Image Representation Meets Deep
Neural Networks: DEFEATnet for Image Classification. Submitted to TCSVT (2nd round review)
Liansheng Zhuang, Shenghua Gao, Jingjing Wang, Zhouchen Lin, Yi Ma, Nenghai Yu. Construct
Non-Negative Low Rank and Sparse Graph with Data-Adaptive Features, Submitted to TIP
Tsung-Han Chan, Kui Jia, Shenghua Gao, Jiwen Lu, Zinan Zeng, Yi Ma. PCANet: A Simple Deep
Learning Baseline for Image Classification?, Submitted to TIP
Lin Sun, Kui Jia, Shenghua Gao, Jiwen Lu.Laplacian Auto-Encoders: An Explicit Learning of Nonlin-
ear Data Manifold, Submitted to Signal Processing Letter
Shenghua Gao, Yi Ma. Neither Global Nor Local: Regularized Patch-Based Representation for S-
ingle Sample Per Person Face Recognition. To appear in International Journal of Computer Vision (IJCV).[Impact factor: 3.741]
Qi Mao, Ivor Wai-Hung Tsung, Shenghua Gao, Li Wang. Generalized Multiple Kernel Learning with
Data-Dependent Priors. To appear in IEEE Transactions on Neural Networks and Learning Systems
(TNNLS).[Impact factor: 2.952]
Shenghua Gao, IvorWai-Hung Tsung, Yi Ma. Learning Category-Specific Dictionary and Shared Dictionary
for Fine-Grained Image Categorization. IEEE Transactions on Image Processing (TIP),23(2):623
- 634, Feb 2014. [Impact factor: 3.042]
I-Hong Jhuo, Guangnan Ye, Shenghua Gao, Dong Liu, Yu-Gang Jiang, D.T. Lee, Shih-Fu Chang.
Discovering Joint Audio-Visual Codewords for Video Event Detection. To appear in Machine Vision
and Applications, DOI: 10.1007/s00138-013-0567-0.[Impact factor: 1.009]
Shenghua Gao, Liang-Tien Chia, Ivor Wai-Hung Tsang, Zhixiang Ren. Concurrent Image Classification
and Annotation via Efficient Multi-layer Group Sparse Coding. IEEE Transactions on Multimedia
(TMM), 16: (3): 762 C 771, Jan 2014.[Impact factor: 1.754]
Zhixiang Ren, Shenghua Gao, Liang-Tien Chia, Deepu Rajan and Yun Huang. Regularized Feature
Reconstruction for Spatio-temporal Saliency Detection. IEEE Transactions on Image Processing (TIP).
22(8):3120 - 3132, August 2013. [Impact factor: 3.042]
Zhixiang Ren*, Shenghua Gao*, Liang-Tien Chia and Ivor Wai-Hung Tsang. Region Based Saliency
Detection and Its application in Object Recognition, IEEE Transactions on Circuits and Systems for
Video Technology (TCSVT),24(5):769 - 779, May, 2014. (* indicates equal contributions.)[Impact
factor: 1.649]
Qi Mao, Ivor Wai-Hung Tsang, Shenghua Gao. Objective-Guided Image Annotation. IEEE Transactions
on Image Processing (TIP).22(4):1585-1597, April 2013. [Impact factor: 3.042]
Shenghua Gao, IvorWai-Hung Tsang and Liang-Tien Chia. Sparse Representation with Kernels, IEEE
Transactions on Image Processing (TIP). 22(2):423 - 434, Feb 2013. [Impact factor: 3.042]
Shenghua Gao, Ivor Wai-Hung Tsang and Liang-Tien Chia. Laplacian Sparse Coding, Hypergraph
Laplacian Sparse Coding, and Applications. IEEE Transactions on Pattern Analysis and Machine Intelligence
(TPAMI). 35:(1):92-104, Jan 2013. [Impact factor: 4.908]
Shenghua Gao, Liang-Tien Chia and Xiangang Cheng. Web Image Concept Annotation with Better Understanding
of Tags and Visual Features. Journal of Visual Communication and Image Representation
(JVCIR). 21:(8):806-814, Nov 2010. [Impact factor: 1.122]
Conference Papers
Tzu-Yi Huang, Jiwen Lu, yap-Peng Tan, Shenghua Gao, Efficient Sparsity Estimation
via Marginal-Lasso Coding. ECCV 2014.
Lu Jin, Shenghua Gao, Zechao Li, and Jinhui Tang.Hand-Crafted Feature or Machine Learnt Features?
Together They Improve RGB-D Object Recognition. The International Symposium on Multimedia (ISM),
2014 (Invited Paper).
I-Hong Jhuo, Shenghua Gao, Der-Tsai Lee, Yi Ma. Effective and Efficient RGB-D Image Classification
with Deep R2ICA. ACCV, 2014
Tzu-Yi Hung, Jiwen Lu, Yap-Peng Tang, Shenghua Gao, Efficient Sparsity Estimation via Marginal-
Lasso Coding, European Conference on Computer Vision (ECCV), 2014.
Zhixiang Ren, Liang-Tien Chia, Deepu Rajan, and Shenghua Gao. Background subtraction via coherent
trajectory decomposition. ACM MM 2013
Zinan Zeng, Shijie Xiao, Kui Jia, Tsung-Han Chan, Shenghua Gao, Dong Xu, and Yi Ma. Learning
by Associating Ambiguously Labeled Images. IEEE Computer Society Conference on Computer Vision
and Pattern Recognition (CVPR 2013)
Zhengxiang Wang, Shenghua Gao, Liang-Tien Chia. Learning Class-to-Image Distance via Large
Margin and L1-norm Regularization. The 12th European Conference on Computer Vision (ECCV
2012), Italy, 2012
Zhixiang Ren, Shenghua Gao, Liang-Tien Chia, Deepu Rajan and Yun Huang. SpatioTemporal Salien-
cy Detection Via Sparse Representation. IEEE International Conference on Multimedia and Expo
(ICME) 2012 (Oral)
Shenghua Gao, Liang-Tien Chia and Ivor Wai-Hung Tsang. Multi-layer Group Sparse Coding - for
Concurrent Image Classification and Annotation. IEEE Computer Society Conference on Computer
Vision and Pattern Recognition (CVPR 2011), Colorado Springs, Colorado, June 2011.
Shenghua Gao, Zhengxiang Wang, Liang-Tien Chia and Ivor Wai-Hung Tsang. Automatic Image
Tagging via Category Label and Web Data. Proceedings of the ACM International Conference on
Multimedia (ACM Multimedia 2010), Firenze, Italy, October, 2010.
Shenghua Gao, IvorWai-Hung Tsang, Liang-Tien Chia. Kernel sparse representation for image classi-
fication and face recognition. The 11th European Conference on Computer Vision (ECCV 2010),Crete,
Greece, 2010.
Shenghua Gao, IvorWai-Hung Tsang, Liang-Tien Chia and Peilin Zhao. Local features are not lonely–
laplacian sparse coding for image classification. IEEE Computer Society Conference on Computer
Vision and Pattern Recognition (CVPR 2010), San Francisco, USA, 2010.
Shenghua Gao, Xiangang Cheng, Liang-Tien Chia. Discovering class-specific informative patches
for landmark characterization. International MultiMedia Modeling Conference (MMM), Chongqing,
China, 2010.(oral)
Huan Wang, Liang-Tien Chia, and Shenghua Gao. Wikipedia-assisted concept thesaurus for better
web media understanding. Multimedia Information Retrieval (MIR), Philadelphia, Pennsylvania,2010.
Shenghua Gao, Liang-Tien Chia and Xiangang Cheng. Understanding tag-cloud and visual features
for better annotation of concepts in nus-wide dataset. ACM MM workshop on web-scale multimedia
corpus, Beijing, China, 2009.(oral)
Shenghua Gao, Xiangang Cheng, Huan Wang and Liang-Tien Chia. Concept model-based unsuper-
vised web image re-ranking. International Conference on Image Processing (ICIP), Carol, Egypt,
2009.(oral)