Xiaobo Shen (沈肖波)

Professor

School of Computer Science and Engineering

Nanjing University of Science and Technology

Email: njust.shenxiaobo [AT] gmail.com or xbshen [AT] njust.edu.cn

About Me

I received my BSc and PhD from School of Computer Science and Engineering, Nanjing University of Science and Technology in 2011 and 2017 respectively, and my supervisor is Prof. Quan-Sen Sun. I am now a full Professor in School of Computer Science and Engineering, Nanjing University of Science and Technology. During 2017-2018, I was a research fellow in Rolls-Royce@NTU Corp Lab, Nanyang Technological University, under the supervision of Prof. Yew-Soon Ong. In 2015, I worked with Prof. Heng Tao SHEN as a research assistant in Data and Knowledge Engineering group, University of Queensland. In 2016, I worked with Prof. Ivor W. Tsang as a research assistant in Centre for Artificial Intelligence, University of Technology Sydney.

Research Interests

I have broad interests in machine learning, computer vision, and data mining. Particularly, I focus on developing algorithms of Multi-view Learning, Multi- label Learning, Hashing, Network Embedding Learning and applying them to Large-scale Retrieval, Classification, Clustering problems.

Conference Publications [Google Scholar] [DBLP]

  1. Xiaobo Shen, Shirui Pan, Weiwei Liu, Quan-Sen Sun, Yew-Soon Ong, Discrete Network Embedding, in Proceedings of International Joint Conference on Artificial Intelligence (IJCAI), 2018.
  2. Xiaobo Shen, Weiwei Liu, Yong Luo, Yew-Soon Ong, Ivor W. Tsang, Deep Binary Prototype Multi-label Learning, in Proceedings of International Joint Conference on Artificial Intelligence (IJCAI), 2018.
  3. Xiaobo Shen, Weiwei Liu, Ivor W. Tsang, Quan-Sen Sun, Compact Multi-label Prediction, in Proceedings of AAAI Conference on Artificial Intelligence (AAAI), 2018.
  4. Xiaobo Shen, Weiwei Liu, Ivor W. Tsang, Fumin Shen, Quan-Sen Sun, Compressed K-Means for Large-Scale Clustering, in Proceedings of AAAI Conference on Artificial Intelligence (AAAI), 2017, 2527-2533.
  5. Weiwei Liu, Xiaobo Shen, Ivor W. Tsang, Sparse Embedded K-Means Clustering, in Proceedings of Advances in Neural Information Processing Systems (NIPS), 2017, 3321-3329.
  6. Jing Chai, Weiwei Liu, Ivor W. Tsang, Xiaobo Shen, Compact Multiple-Instance Learning, in Proceedings of ACM International Conference on Information and Knowledge Management (CIKM), 2017, 2007-2010.
  7. Bin Qian, Jun Zhou, Lei Tong, Xiaobo Shen, Fan Liu, Nonnegative Matrix Factorization with Endmember Sparse Graph Learning for Hyperspectral Unmixing, in Proceedings of IEEE International Conference on Image Processing (ICIP), 2016, 1843-1847.
  8. Bin Qian, Xiaobo Shen, Yanyang Gu, Zhenmin Tang, Yuhua Ding, Double Constrained NMF for Partial Multi-View Clustering, in Proceedings of the Digital Image Computing: Techniques and Applications (DICTA), 2016, 1-7.
  9. Bin Qian, Xiaobo Shen, Zhenmin Tang and Tao Zhang, Deep Convex NMF for Image Clustering, in Proceedings of Chinese Conference on Biometric Recognition (CCBR), 2016, 583-590.
  10. Xiaobo Shen, Fumin Shen, Quan-Sen Sun, Yun-Hao Yuan, Multi-view Latent Hashing for Efficient Multimedia Search, in Proceedings of ACM International Conference on Multimedia (MM), 2015, 831-834.
  11. Hongkun Ji, Xiaobo Shen, Quan-Sen Sun, Zexuan Ji, Sparse Discrimination based Multiset Canonical Correlation Analysis for Multi-Feature Fusion and Recognition. in Proceedings of the British Machine Vision Conference (BMVC), 2015, 141.1-141.9.
  12. Yun-Hao Yuan, Jinlong Yang, Xiaobo Shen, Chaofeng Li, Xiaojun Wu, Discriminative Scatter Regularized CCA for Multiview Image Feature Learning and Recognition. in Proceedings of Chinese Conference on Biometric Recognition (CCBR), 2015, 694-701.
  13. Yun-Hao Yuan, Xiaobo Shen, Zhiyong Xiao, Jinlong Yang, Hong-Wei Ge, Quan-Sen Sun, Multiview Correlation Feature Learning with Multiple Kernels. in Proceedings of International Conference on Intelligence Science and Big Data Engineering (IScIDE), 2015, 518-528.
  14. Xiaobo Shen, Quan-Sen Sun, Yun-Hao Yuan, Orthogonal Canonical Correlation Analysis and Its Application in Feature Fusion, in Proceedings of IEEE International Conference on Information Fusion (ICIF), 2013 , 151-157.

Journal Publications

  1. Xiaobo Shen, Weiwei Liu, Ivor W. Tsang, Quan-Sen Sun, Yew-Soon Ong, Multi-label Prediction via Cross-view Search, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), (2018).
  2. Xiaobo Shen, Fumin Shen, Quan-Sen Sun, Li Liu, Yun-Hao Yuan, Weiwei Liu, Multi-view Discrete Hashing for Scalable Multimedia Search, ACM Transactions on Intelligent Systems and Technology (TIST), (2018).
  3. Xiaobo Shen, Yun-Hao Yuan, Fumin Shen, Yang Xu, Quan-Sen Sun, A Novel Multi-view Dimensionality Reduction and Recognition Framework with Applications to Face Recognition, Journal of Visual Communication and Image Representation (JVCI), (2018).
  4. Xiaobo Shen, Fumin Shen, Quan-Sen Sun, Yang Yang, Yun-Hao Yuan, Heng Tao Shen, Semi-paired Discrete Hashing: Learning Latent Hash Codes for Semi-paired Cross-view Retrieval, IEEE Transactions on Cybernetics (TCYB), 47 (2017), 4275-4288.
  5. Xue Li, Xiaobo Shen, Zhenqiu Shu, Qiaolin Ye, Chunxia Zhao, Graph Regularized Multilayer Concept Factorization for Data Representation, Neurocomputing (NEUCOM),238 (2017), 139–151.
  6. Tao Zhang, Zhenmin Tang, Xiaobo Shen, A Fast Generalized Low Rank Representation Framework Based on L2, p Norm Minimization for Subspace Clustering. IEEE Access, 5 (2017), 23299-23311.
  7. Bin Qian, Zhenmin Tang, Xiaobo Shen, Zhenqiu Shu, Local and global regularized concept factorization for image clustering. Journal of Electronic Imaging (JEI), 26 (2017), 13003.
  8. Bin Qian, Lei Tong, Zhenmin Tang, Xiaobo Shen, Nonnegative matrix factorization with region sparsity learning for hyperspectral unmixing. IJWMIP, 15 (2017), 1-26.
  9. Xiaobo Shen, Quan-Sen Sun, Yun-Hao Yuan, Semi-paired Hashing for Cross-view Retrieval, Neurocomputing (NEUCOM), 213 (2016), 14-23.
  10. Xiaobo Shen, Fumin Shen, Quan-Sen Sun, Yun-Hao Yuan, Heng Tao Shen, Robust Cross-view Hashing for Multimedia Retrieval, IEEE Signal Processing Letters (SPL), 23 (2016), 893-897.
  11. Yun-Hao Yuan, Yun Li, Jianjun Liu, Chaofeng Li, Xiaobo Shen, Guoqing Zhang, Quan-Sen Sun, Learning Multi-kernel Multi-view Canonical Correlations for Image Recognition. Computational Visual Media, 2 (2016), 153-162.
  12. Xiaobo Shen, Quan-Sen Sun, Yun-Hao Yuan, A Unified Multiset Canonical Correlation Analysis Framework based on Graph Embedding for Multiple Feature Extraction, Neurocomputing (NEUCOM), 148 (2015), 397-408.
  13. Yun-Hao Yuan, Yun Li, Xiaobo Shen, Quan-Sen Sun, and Jin-Long Yang, Laplacian Multiset Canonical Correlations for Multiview Feature Extraction and Image Recognition, Multimedia Tools and Applications (MTAP), (2015), 1-25.
  14. Xiaobo Shen, Quan-Sen Sun, A Novel Semi-supervised Canonical Correlation Analysis and Extensions for Multi-view Dimensionality Reduction, Journal of Visual Communication and Image Representation (JVCI), 25 (2014), 1894-1904.
  15. Xiaobo Shen, Quan-Sen Sun, Orthogonal Multiset Canonical Correlation Analysis based on FractionalOrder and Its Application in Multiple Feature Extraction and Recognition, Neural Processing Letters (NPL), 42 (2014), 1-16.

Professional Activities

PC Member: MMM 16, MMM 17, AAAI 17, IJCAI 18

Reviewer: NIPS 16, ICMR 17, TNNLS, TIP, TMM, NEUCOM, PRL, etc