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Prof. Shenghua Gao / 高盛华 助理教授、研究员 (青年千人)

Tel:  (021) 20685094
Email: gaoshh@@shanghaitech.edu.cn
Office: Room 1A-304C, SIST Building, No.393 Huaxia Middle Road, Pudong Area Shanghai
Major: CS
Website: http://sist.shanghaitech.edu.cn/faculty/gaoshh
Shenghua Gao Research Group Recruitment (Click Here)

RESEARCH INTERESTS

  • Computer vision
    Object Recognition / Face Recognition / Image Segmentation / Saliency Detection
  • Machine Learning
    Supervised / Semi-supervised Learning / Deep Learning / Sparse Representation

BIOGRAPHY

Dr. Shenghua Gao is an assistant professor, PI in ShanghaiTech University, China. He received the B.E. degree from the University of Science and Technology of China in 2008 (outstanding graduates), and received the Ph.D. degree from the Nanyang Technological University in 2012. From Jun 2012 to Jul 2014, he worked as a postdoctoral fellow in Advanced Digital Sciences Center, Singapore. His research interests include computer vision and machine learning, and now he is focusing on face and object recognition. He has published more than 20 papers on object and face recognition related topics in many international conferences and journals, including IEEE T-PAMI, IEEE TIP, IEEE TNNLS, IEEE TMM, IEEE TCSVT, CVPR, ECCV, etc.). He was awarded the Microsoft Research Fellowship in 2010.

SELECTED PUBLICATIONS

1. Liansheng Zhuang, Zihan Zhou, Shenghua Gao, Jingwen Yin, Zhouchen Lin, Yi Ma: Label Information Guided Graph Construction for Semi-Supervised Learning. IEEE Trans. Image Processing 26(9): 4182-4192, 2017.
2. Hao Zhu, Shenghua Gao: Locality Constrained Deep Supervised Hashing for Image Retrieval. IJCAI 2017: 3567-3573
3. Yanyu Xu, Nianyi Li, Junru Wu, Jingyi Yu, Shenghua Gao: Beyond Universal Saliency: Personalized Saliency Prediction with Multi-task CNN. IJCAI 2017: 3887-3893
4. Weixin Luo, Wen Liu, Shenghua Gao: A Revisit of Sparse Coding Based Anomaly Detection in Stacked RNN Framework, ICCV 2017
5. Kui Jia, Dacheng Tao, Shenghua Gao: Improving training of deep neural networks via Singular Value Bounding. CVPR 2017
6. Weixin Luo,Wen, Liu, Shenghua Gao: REMEMBERING HISTORY WITH CONVOLUTIONAL LSTM FOR ANOMALY DETETION. ICME 2017
7. Kui Jia, Tsung-Han Chan, Zinan Zeng, Shenghua Gao, GangWang, Tianzhu Zhang, Yi Ma: ROML: A Robust Feature Correspondence Approach for Matching Objects in A Set of Images. International Journal of Computer Vision 117(2): 173-197, 2016.
8. Shenghua Gao, Lixin Duan, Ivor W. Tsang: DEFEATnet - A Deep Conventional Image Representation for Image Classification. IEEE Trans. Circuits Syst. Video Techn. 26(3): 494-505, 2016.
9. Vincent W. Zheng, Hong Cao, Shenghua Gao, Aditi Adhikari, Miao Lin, Kevin Chen-Chuan Chang: Cold-Start Heterogeneous-Device Wireless Localization. AAAI 2016: 1429-1435.
10. 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.
11. 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. 
12. 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.
13. 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 – 771, Jan 2014.
14. 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.