Hao Jiang

According to our database, Hao Jiang authored at least 39 papers between 2009 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Co-regularized optimal high-order graph embedding for multi-view clustering.

Senwen Zhan, Hao Jiang, Dong Shen

Pattern Recognit., 2025

2024

A Novel Accelerated Multistage Learning Control Mechanism via Virtual Performance Reduction.

Xiang Cheng, Hao Jiang, Dong Shen

IEEE Trans. Neural Networks Learn. Syst., May, 2024

Accelerated Learning Control for Point-to-Point Tracking Systems.

Hao Jiang, Dong Shen, Shunhao Huang, Xinghuo Yu

IEEE Trans. Neural Networks Learn. Syst., January, 2024

Quantitative Modeling of Stemness in Single-Cell RNA Sequencing Data: A Nonlinear One-Class Support Vector Machine Method.

Hao Jiang, Jingxin Liu, You Song, Jinzhi Lei

J. Comput. Biol., January, 2024

Data-Driven Learning Control Algorithms for Unachievable Tracking Problems.

Zeyi Zhang, Hao Jiang, Dong Shen, Samer S. Saab

IEEE CAA J. Autom. Sinica, January, 2024

History Makes the Future: Iterative Learning Control for High-Speed Trains.

Shuai Gao, Qijiang Song, Hao Jiang, Dong Shen

IEEE Intell. Transp. Syst. Mag., 2024

Data Valuation by Leveraging Global and Local Statistical Information.

Xiaoling Zhou, Ou Wu, Michael K. Ng, Hao Jiang

CoRR, 2024

2023

Optimal Learning Control Scheme for Discrete-Time Systems With Nonuniform Trials.

Chen Liu, Xiaoe Ruan, Dong Shen, Hao Jiang

IEEE Trans. Cybern., June, 2023

Decentralized learning control for large-scale systems with gain-adaptation mechanisms.

Hao Jiang, Xun He, Qijiang Song, Dong Shen

Inf. Sci., April, 2023

A Novel Adaptive Gain Strategy for Stochastic Learning Control.

Xiang Cheng, Hao Jiang, Dong Shen, Xinghuo Yu

IEEE Trans. Cybern., 2023

scHOIS: Determining Cell Heterogeneity Through Hierarchical Clustering Based on Optimal Imputation Strategy.

Xiaoqing Cheng, Chang Yan, Hao Jiang, Yushan Qiu

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

2022

A high-order norm-product regularized multiple kernel learning framework for kernel optimization.

Hao Jiang, Dong Shen, Wai-Ki Ching, Yushan Qiu

Inf. Sci., 2022

Eogface: Deep Face Recognition via Extensional Logits.

Xingying Zhao, Hao Jiang, Dong Shen

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

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

Yushan Qiu, Hao Jiang, Wai-Ki Ching

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

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

Xiaoqing Cheng, Chang Yan, Hao Jiang, Yushan Qiu

Proceedings of the Intelligent Computing Theories and Application, 2021

Informative gene identification for Single-Cell RNA-Seq Data with Mutual Information based Firefly Algorithm.

Yiyao Dou, Hao Jiang

Proceedings of the ICBBE 2021: 8th International Conference on Biomedical and Bioinformatics Engineering, Kyoto, Japan, November 12, 2021

2020

Drug Side-Effect Profiles Prediction: From Empirical to Structural Risk Minimization.

Hao Jiang, Yushan Qiu, Wenpin Hou, Xiaoqing Cheng, Man Yi Yim, Wai-Ki Ching

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

2019

On predicting epithelial mesenchymal transition by integrating RNA-binding proteins and correlation data via <i>L</i>_1/2-regularization method.

Yushan Qiu, Hao Jiang, Wai-Ki Ching, Michael K. Ng

Artif. Intell. Medicine, 2019

Exploring Observability of Attractor Cycles in Boolean Networks for Biomarker Detection.

Yushan Qiu, Yulong Huang, Shaobo Tan, Dongqi Li, Ada Chaeli van der Zijp-Tan, Glen M. Borchert, Hao Jiang, Jingshan Huang

IEEE Access, 2019

2018

Discovery of Boolean metabolic networks: integer linear programming based approach.

Yushan Qiu, Hao Jiang, Wai-Ki Ching, Xiaoqing Cheng

BMC Syst. Biol., 2018

Stationary Mahalanobis kernel SVM for credit risk evaluation.

Hao Jiang, Wai-Ki Ching, Ka Fai Cedric Yiu, Yushan Qiu

Appl. Soft Comput., 2018

2017

Optimal projection method determination by Logdet Divergence and perturbed von-Neumann Divergence.

Hao Jiang, Wai-Ki Ching, Yushan Qiu, Xiaoqing Cheng

BMC Syst. Biol., 2017

Hadamard Kernel SVM with applications for breast cancer outcome predictions.

Hao Jiang, Wai-Ki Ching, Wai-Shun Cheung, Wenpin Hou, Hong Yin

BMC Syst. Biol., 2017

2016

Unconstrained optimization in projection method for indefinite SVMs.

Hao Jiang, Wai-Ki Ching, Yushan Qiu, Xiaoqing Cheng

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015

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

Limin Li, Kiyoko F. Aoki-Kinoshita, Wai-Ki Ching, Hao Jiang

J. Syst. Sci. Complex., 2015

On Eigen-matrix translation method for classification of biological data.

Hao Jiang, Yushan Qiu, Xiaoqing Cheng, Wai-Ki Ching

J. Syst. Sci. Complex., 2015

On observability of attractors in Boolean Networks.

Yushan Qiu, Xiaoqing Cheng, Wai-Ki Ching, Hao Jiang, Tatsuya Akutsu

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2013

Construction and computation methods for biological networks.

Hao Jiang

PhD thesis, 2013

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

Hao Jiang, Takeyuki Tamura, Wai-Ki Ching, Tatsuya Akutsu

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2013

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

Limin Li, Hao Jiang, Yushan Qiu, Wai-Ki Ching, Vassilios S. Vassiliadis

BMC Syst. Biol., 2013

2012

Modeling genetic regulatory networks: a delay discrete dynamical model approach.

Hao Jiang, Wai-Ki Ching, Kiyoko F. Aoki-Kinoshita, Dianjing Guo

J. Syst. Sci. Complex., 2012

Discriminant analysis in pairwise kernel learning for SVM classification.

Hao Jiang, Wai-Ki Ching, Delin Chu

Int. J. Bioinform. Res. Appl., 2012

Correlation Kernels for Support Vector Machines Classification with Applications in Cancer Data.

Hao Jiang, Wai-Ki Ching

Comput. Math. Methods Medicine, 2012

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

Xi Chen, Hao Jiang, Yushan Qiu, Wai-Ki Ching

BMC Syst. Biol., 2012

Metabolite biomarker discovery for metabolic diseases by flux analysis.

Limin Li, Hao Jiang, Wai-Ki Ching, Vassilios S. Vassiliadis

Proceedings of the 6th IEEE International Conference on Systems Biology, 2012

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

Hao Jiang, Wai-Ki Ching

Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012

2010

A Markovian network model for default risk management.

Wai-Ki Ching, Ho-Yin Leung, Hao Jiang, Liang Sun, Tak Kuen Siu

Int. J. Intell. Eng. Informatics, 2010

Modeling default risk via a hidden Markov model of multiple sequences.

Wai-Ki Ching, Ho-Yin Leung, Zhenyu Wu, Hao Jiang

Frontiers Comput. Sci. China, 2010

2009

A Markovian Model for Default Risk in a Network of Sectors.

Wai-Ki Ching, Ho-Yin Leung, Hao Jiang, Liang Sun

Proceedings of the Business Intelligence: Artificial Intelligence in Business, 2009