A Novel Heuristic Approach for Job Shop Scheduling Problem. - Yong-Ming Wang; Nan-Feng Xiao; Hong-Li Yin; En-Liang Hu (FAW, 2007)

Manifold contraction for semi-supervised classification. - Enliang Hu; Songcan Chen; Xuesong Yin (Sci. China Inf. Sci., 2010)

SSPS: A Semi-Supervised Pattern Shift for Classification. - Enliang Hu; Xuesong Yin; Yongming Wang; Songcan Chen (Neural Process. Lett., 2010)

Semi-supervised clustering with metric learning: An adaptive kernel method. - Xuesong Yin; Songcan Chen; Enliang Hu; Daoqiang Zhang (Pattern Recognit., 2010)

Semisupervised Kernel Matrix Learning by Kernel Propagation. - Enliang Hu; Songcan Chen; Daoqiang Zhang; Xuesong Yin (IEEE Trans. Neural Networks, 2010)

BCDNPKL: Scalable Non-Parametric Kernel Learning Using Block Coordinate Descent. - Enliang Hu; Bo Wang 022; Songcan Chen (ICML, 2011)

Distance metric learning guided adaptive subspace semi-supervised clustering. - Xuesong Yin; Enliang Hu (Frontiers Comput. Sci. China, 2011)

Two-stage nonparametric kernel leaning: From label propagation to kernel propagation. - Enliang Hu; Songcan Chen; Jiankun Yu; Lishan Qiao (Neurocomputing, 2011)

Flexible Nonparametric Kernel Learning with Different Loss Functions. - En-Liang Hu; James T. Kwok (ICONIP (2), 2013)

Efficient Kernel Learning from Side Information Using ADMM. - En-Liang Hu; James T. Kwok (IJCAI, 2013)

Regularized soft K-means for discriminant analysis. - Xuesong Yin; Songcan Chen; Enliang Hu (Neurocomputing, 2013)

Scalable Nonparametric Low-Rank Kernel Learning Using Block Coordinate Descent. - En-Liang Hu; James T. Kwok (IEEE Trans. Neural Networks Learn. Syst., 2015)

Robust Learning from Noisy Side-information by Semidefinite Programming. - En-Liang Hu; Quanming Yao (IJCAI, 2019)

A new optimization in SDP-based learning. - En-Liang Hu; Bo Wang 022 (Neurocomputing, 2019)

Low-Rank Matrix Learning Using Biconvex Surrogate Minimization. - En-Liang Hu; James T. Kwok (IEEE Trans. Neural Networks Learn. Syst., 2019)

Efficient Low-Rank Semidefinite Programming With Robust Loss Functions. - Quanming Yao; Hansi Yang; En-Liang Hu; James T. Kwok (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Structure-aware preserving projections with applications to medical image clustering. - Keyang Yu; Yike Zhu; Xuesong Yin; Ting Shu; Yigang Wang; Enliang Hu (Appl. Soft Comput., 2024)