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学术论文

Preprints:

  • Fanhua Shang, Kaiwen Zhou, James Cheng, Ivor W. Tsang, Lijun Zhang, Dacheng Tao. "VR-SGD: A Simple Stochastic Variance Reduction Method for Machine Learning", submitted, 2017. [Preprint] Code

  • Fanhua Shang,Yuanyuan Liu, James Cheng, Jiacheng Zhou, "Fast Stochastic Variance Reduced Gradient Method with Momentum Acceleration for Machine Learning", submitted, 2017. [Preprint] Code

  • Fanhua Shang,Yuanyuan Liu, and James Cheng, "Unified Scalable Equivalent Formulations for Schatten Quasi-Norms", CUHK Technical Report CSE-ShangLC20160307, March 7, 2016. [Preprint]

  • Fanhua Shang, Yuanyuan Liu, James Cheng, and Hong Cheng, "Regularized Orthogonal Tensor Decompositions with Applications to Multi-Relational Learning", submitted, 2016. [Preprint] Code

 

Published Papers: (* 通讯作者)

  • Kaiwen Zhou, Fanhua Shang*, James Cheng. A Simple Stochastic Variance Reduced Algorithm with Fast Convergence Rates. To appear in Proceedings of the 35th International Conference on Machine Learning (ICML 2018), Stockholm, Sweden, 2018. (CCF A)  PDF
  • Fanhua Shang, Yuanyuan Liu, Kaiwen Zhou, James Cheng, Kelvin K.W. Ng, Yuichi Yoshida. Guaranteed Sufficient Decrease for Stochastic Variance Reduced Gradient Optimization. In: Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (AISTATS, Journal of Machine Learning Research), 2018. (CCF A) 下载全文
  • Hengmin Zhang, Jian Yang, Fanhua Shang, Chen Gong, Zhenyu Zhang. LRR for Subspace Segmentation via Tractable Schatten-p Norm Minimization and Factorization.  IEEE Transactions on Cybernetics, 2018. (SCI, IF: 7.384) 下载全文
  • Fanhua Shang, James Cheng, Yuanyuan Liu, Zhi-Quan Luo, and Zhouchen Lin. Bilinear Factor Matrix Norm Minimization for Robust PCA: Algorithms and Applications. IEEE Transactions on Pattern Analysis and Machine Intelligence2017. (SCI, IF: 8.329) 下载全文
  • Fanhua Shang, Yuanyuan Liu, James Cheng, and Da Yan. Fuzzy Double Trace Norm Minimization for Recommendation Systems. IEEE Transactions on Fuzzy Systems2017. (SCI, IF: 7.671) 下载全文
  • Yuanyuan Liu, Fanhua Shang*, James Cheng, Hong Cheng, Licheng Jiao. Accelerated First-order Methods for Geodesically Convex Optimization on Riemannian Manifolds. In: Proceedings of the 31st Conference on Neural Information Processing Systems (NIPS), 2017. (CCF A) 下载全文
  • Fan Yang, Fanhua Shang, Yuzhen Huang, James Cheng, Jinfeng Li, Yunjian Zhao, Ruihao Zhao. LFTF: A Framework for Efficient Tensor Analytics at Scale. In: Proceedings of the 43rd International Conference on Very Large Data Bases (VLDB), 2017. (CCF A) 下载全文
  • Yuanyuan Liu, Fanhua Shang*, and James Cheng. Accelerated Variance Reduced Stochastic ADMM. In: Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI), 2017. (CCF A) 下载全文
  • Fanhua Shang, Yuanyuan Liu, and James Cheng. Tractable and Scalable Schatten Quasi-Norm Approximations for Rank Minimization. In: Proceedings of the 19th International Conference on Artificial Intelligence and Statistics (AISTATS, Journal of Machine Learning Research), 2016. (CCF A) 下载全文
  • Fanhua Shang, Yuanyuan Liu, and James Cheng. Scalable Algorithms for Tractable Schatten Quasi-Norm Minimization. In: Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI), 2016. (CCF A) 下载全文
  • Fanhua Shang, Yuanyuan Liu, Hanghang Tong, James Cheng, and Hong Cheng. Robust Bilinear Factorization with Missing and Grossly Corrupted Observations. Information Sciences,53-72, 2016. (SCI, IF: 4.832)  下载全文
  • Yuanyuan Liu, Fanhua Shang*, Wei Fan, James Cheng, and Hong Cheng. Generalized Higher-Order Orthogonal Iteration for Tensor Learning and Decomposition. IEEE Transactions on Neural Networks and Learning Systems27, 2551-2563, 2016. (SCI, IF: 6.108) 下载全文
  • Yuanyuan Liu, Fanhua Shang*, Licheng Jiao, James Cheng, and Hong Cheng.Trace Norm Regularized CANDECOMP/PARAFAC Decomposition with Missing Data. IEEE Transactions on Cybernetics45, 2437-2448, 2015. (SCI, IF: 7.384) 下载全文
  • Fanhua Shang, Yuanyuan Liu, and James Cheng. Generalized Higher-Order Tensor Decomposition via Parallel ADMM. In: Proceedings of the 28th AAAI Conference on Artificial Intelligence (AAAI), 2014. (CCF A) 下载全文
  • Yuanyuan Liu, Fanhua Shang*, Wei Fan, James Cheng, and Hong Cheng. Generalized Higher-Order Orthogonal Iteration for Tensor Decomposition and Completion. In: Proceedings of the Annual Conference on Neural Information Processing Systems (NIPS), 1763-1771, 2014. (CCF A) 下载全文
  • Yuanyuan Liu, Fanhua Shang*, Hong Cheng, and James Cheng. Nuclear Norm Regularized Least Squares Optimization on Grassmannian Manifolds. In: Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence (UAI), 2014. (CCF B) 下载全文
  • Fei Yin, Licheng Jiao, Fanhua Shang, Lin Xiong, Xiaodong Wang. Sparse regularization discriminant analysis for face recognition. Neurocomputing128, 341-362, 2014. (SCI, IF: 3.317)
  • Yuanyuan Liu, Fanhua Shang*, Hong Cheng, James Cheng, and Hanghang Tong. Factor Matrix Trace Norm Minimization for Low-Rank Tensor Completion. In: Proceedings of the 14th SIAM International Conference on Data Mining (SDM), 2014. (CCF B) 下载全文
  • Fanhua Shang, Yuanyuan Liu, and James Cheng, Hong Cheng. Robust Principal Component Analysis with Missing Data. In: Proceedings of the 23rd ACM International Conference on Information and Knowledge Management (CIKM), 2014. (CCF B) 下载全文
  • Fanhua Shang, Yuanyuan Liu, James Cheng, and Hong Cheng. Recovering Low-Rank and Sparse Matrices via Robust Bilateral Factorization. In: Proceedings of the 14th IEEE International Conference on Data Mining (ICDM), 2014. (CCF B) 下载全文
  • Fei Yin, Licheng Jiao, Fanhua Shang, Lin Xiong, Shasha Mao. Double linear regressions for single labeled image per person face recognition. Pattern Recognition47(4),1547-1558,  2014. (SCI, IF: 4.582)
  • Jing Chai, Hongtao Chen, Lixia Huang, Fanhua Shang. Maximum margin multiple-instance feature weighting. Pattern Recognition47(6), 2091-2103, 2014. (SCI, IF: 4.582)
  • Yuanyuan Liu, Licheng Jiao, and Fanhua Shang. An Efficient Matrix Factorization Based Low-Rank Representation for Subspace Clustering. Pattern Recognition2013. (SCI, IF: 4.582) 下载全文
  • Fei Yin, Licheng Jiao, Fanhua Shang, Shuang Wang, Biao Hou. Fast Fisher Sparsity Preserving Projections. Neural Computing and Applications23(3-4) ,691-705, 2013. (SCI, IF: 2.505)
  • Xiangfa Song, Licheng Jiao, Shuyuan Yang, Xiangrong Zhang, Fanhua Shang. Sparse coding and classifier ensemble based multi-instance learning for image categorization. Signal Processing93(1),1-11, 2013. (SCI, IF: 3.110)
  • Yuanyuan Liu, Fanhua Shang. An Efficient Matrix Factorization Method for Tensor Completion. IEEE Signal Process. Lett.20(4), 307-310, 2013. (SCI, IF: 2.528)
  • Yuanyuan Liu, Licheng Jiao, and Fanhua Shang*. An Efficient Matrix Bi-Factorization Alternative Optimization Method for Trace Norm Minimization. Neural Networks2013. (SCI, IF: 5.287) 下载全文
  • Fanhua Shang, Licheng Jiao, Yuanyuan Liu, and Hanghang Tong. Semi-Supervised Learning with Nuclear Norm Regularization. Pattern Recognition2013. (SCI, IF: 4.582) 下载全文
  • Fanhua Shang, Licheng Jiao, Yuanyuan Liu. Integrating Spectral Kernel Learning and Constraints in Semi-Supervised Classification. Neural Processing Letters36(2) ,101-115, 2012. (SCI, IF: 1.620)
  • Yuanyuan Liu, Licheng Jiao, and Fanhua Shang. A Fast Tri-Factorization Method for Low-Rank Matrix Recovery and Completion. Pattern Recognition2013. (SCI, IF: 4.582) 下载全文
  • Fanhua Shang, Licheng Jiao, and Fei Wang. Graph Dual Regularization Non-Negative Matrix Factorization for Co-Clustering. Pattern Recognition2012. (SCI, IF: 4.582) 下载全文
  • Xiaodong Wang, Fang Liu, Licheng Jiao, Zhiguo Zhou, Jingjing Yu, Bing Li, Jianrui Chen, Jiao Wu, Fanhua Shang. An evidential reasoning based classification algorithm and its application for face recognition with class noise. Pattern Recognition45(12) ,4117-4128, 2012. (SCI, IF: 4.582)
  • Fanhua Shang, Licheng Jiao, and Fei Wang. Semi-Supervised Learning with Mixed Knowledge Information. In: Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2012. (CCF A) 下载全文
  • Licheng Jiao, Fanhua Shang*, Fei Wang, and Yuanyuan Liu. Fast Semi-Supervised Clustering with Enhanced Spectral Embedding. Pattern Recognition2012. (SCI, IF: 4.582) 下载全文
  • Fanhua Shang, Licheng Jiao, Jiarong Shi, and Fei Wang, Maoguo Gong. Fast Affinity Propagation Clustering: A Multilevel Approach. Pattern Recognition2012. (SCI, IF: 4.582) 下载全文
  • Fanhua Shang, Licheng Jiao, Yuanyuan Liu, and Fei Wang. Learning Spectral Embedding via Iterative Eigenvalue Thresholding. In: Proceedings of the 21st ACM International Conference on Information and Knowledge Management (CIKM), 2012. (CCF B) 下载全文
  • Fanhua Shang, Licheng Jiao, Jiarong Shi, Jing Chai. Robust Positive semidefinite L-Isomap Ensemble. Pattern Recognition Letters32(4) ,640-649, 2011. (SCI, IF: 1.995)
  • Fanhua Shang, Yuanyuan Liu, Fei Wang. Learning Spectral Embedding for Semi-Supervised Clustering. In: Proceedings of the 11th IEEE International Conference on Data Mining (ICDM), 2011. (CCF B) 下载全文
  • Fanhua Shang, Licheng Jiao, Jiarong Shi, Maoguo Gong, and R. H. Shang. Fast Density-Weighted Low-Rank Approximation Spectral Clustering. Data Mining and Knowledge Discovery,23,345-378,2011. (SCI, IF: 3.16) 下载全文

 

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