Hao Jiang

发表

On Construction of Sparse Probabilistic Boolean Networks

W. Ching, Xi Chen, Hao Jiang, 2012 .

On Generating Optimal Sparse Probabilistic Boolean Networks with Maximum Entropy from a Positive Stationary Distribution

W. Ching, Xi Chen, Hao Jiang, 2012 .

Modeling Global Risk via a Hidden Markov Model of Multiple Sequences

W. Ching, Hao Jiang, Ho-Yin Leung, 2008 .

PROJECTION METHOD FOR SUPPORT VECTOR MACHINES WITH INDEFINITE KERNELS

W. Ching, Hao Jiang, Yushan Qiu, 2015 .

Title Towards Prediction of Pancreatic Cancer Using SVM StudyModel

W. Ching, Hao Jiang, Yushan Qiu, 2014 .

Title Discovery of Boolean Metabolic Networks : Integer LinearProgramming Based Approach

W. Ching, Hao Jiang, Yushan Qiu, 2018 .

On the Complexity of Inference and Completion of Boolean Networks from Given Singleton Attractors

Tatsuya Akutsu, Takeyuki Tamura, Wai-Ki Ching, 2013, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

A High-Order Norm-Product Regularized Multiple Kernel Learning Framework for Kernel Optimization

W. Ching, Hao Jiang, Yushan Qiu, 2022, Information Sciences.

HOMC: A Hierarchical Clustering Algorithm Based on Optimal Low Rank Matrix Completion for Single Cell Analysis

Hao Jiang, Xiaoqing Cheng, Chang Yan, 2021, ICIC.

Discovery of metabolite biomarkers: flux analysis and reaction-reaction network approach

Vassilios S. Vassiliadis, Wai-Ki Ching, Limin Li, 2013, BMC Systems Biology.

Metabolite biomarker discovery for metabolic diseases by flux analysis

Vassilios S. Vassiliadis, Wai-Ki Ching, Limin Li, 2012, 2012 IEEE 6th International Conference on Systems Biology (ISB).

Title Metabolite biomarker discovery for metabolic diseases by fluxanalysis

W. Ching, Limin Li, Hao Jiang, 2012 .

On using physico-chemical properties of amino acids in string kernels for protein classification via support vector machines

Kiyoko F. Aoki-Kinoshita, Wai-Ki Ching, Limin Li, 2015, J. Syst. Sci. Complex..

On predicting epithelial mesenchymal transition by integrating RNA-binding proteins and correlation data via L1/2-regularization method

Michael K. Ng, Wai-Ki Ching, Yushan Qiu, 2019, Artif. Intell. Medicine.

Discriminant analysis in pairwise kernel learning for SVM classification

Wai-Ki Ching, Delin Chu, Hao Jiang, 2012, Int. J. Bioinform. Res. Appl..

On Orthogonal Feature Extraction Model with Applications in Medical Prognosis

Hao Jiang, Wai-Ki Ching, Wenpin Hou, 2016 .

Exploring Observability of Attractor Cycles in Boolean Networks for Biomarker Detection

Yushan Qiu, Hao Jiang, Glen M. Borchert, 2019, IEEE Access.

On observability of attractors in Boolean Networks

Tatsuya Akutsu, Wai-Ki Ching, Xiaoqing Cheng, 2015, 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Stationary Mahalanobis kernel SVM for credit risk evaluation

Wai-Ki Ching, Ka Fai Cedric Yiu, Yushan Qiu, 2018, Appl. Soft Comput..

On Eigen-matrix translation method for classification of biological data

Wai-Ki Ching, Xiaoqing Cheng, Yushan Qiu, 2015, J. Syst. Sci. Complex..

On Eigen-matrix translation method for classification of biological data

Hao Jiang, Yushan Qiu, Xiaoqing Cheng, 2015, Journal of Systems Science and Complexity.

The role of Eigen-matrix translation in classification of biological datasets

Wai-Ki Ching, Hao Jiang, W. Ching, 2012, 2012 IEEE International Conference on Bioinformatics and Biomedicine.

Physico-Chemically Weighted Kernel for SVM Protein Classification

Wai-Ki Ching, Hao Jiang, Hao Jiang, 2012 .

Kernel Techniques in Support Vector Machines for Classification of Biological Data

Wai-Ki Ching, Zeyu Zheng, Hao Jiang, 2011 .

Hadamard Kernel SVM with applications for breast cancer outcome predictions

Wai-Ki Ching, Hong Yin, Hao Jiang, 2017, BMC Systems Biology.

On using physico-chemical properties of amino acids in string kernels for protein classification via support vector machines

Kiyoko F. Aoki-Kinoshita, W. Ching, Limin Li, 2015, Journal of Systems Science and Complexity.

Discovery of Boolean metabolic networks: integer linear programming based approach

Wai-Ki Ching, Xiaoqing Cheng, Yushan Qiu, 2018, BMC Systems Biology.

Inferring Functional Annotation for Human Genes from Gene-PDB Structure Mapping

Xi Chen, Hao Jiang, Wai-Ki Ching, 2012 .

Unsupervised Learning Framework With Multidimensional Scaling in Predicting Epithelial-Mesenchymal Transitions

Yushan Qiu, Hao Jiang, Wai-Ki Ching, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Metabolite biomarker discovery for metabolic diseases by flux analysis

W. Ching, V. Vassiliadis, Limin Li, 2012, 2012 IEEE 6th International Conference on Systems Biology (ISB).

On optimal control policy for probabilistic Boolean network: a state reduction approach

X. Chen, W. Ching, Hao Jiang, 2012, BMC Systems Biology.