Hao Jiang

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 23

Top Venues

IEEE ACM Trans. Comput. Biol. Bioinform.

BMC Syst. Biol.

IEEE Trans. Cybern.

IEEE Trans. Neural Networks Learn. Syst.

University of Hong Kong (PHD)

Education History

University of Hong Kong

PHD

Publications

Xiang Cheng, Hao Jiang, Dong Shen
A Novel Accelerated Multistage Learning Control Mechanism via Virtual Performance Reduction. IEEE Trans. Neural Networks Learn. Syst. 35 (5) (2024)
Xiaoling Zhou, Ou Wu, Michael K. Ng, Hao Jiang
Data Valuation by Leveraging Global and Local Statistical Information. CoRR (2024)
Zeyi Zhang, Hao Jiang, Dong Shen, Samer S. Saab
Data-Driven Learning Control Algorithms for Unachievable Tracking Problems. IEEE CAA J. Autom. Sinica 11 (1) (2024)
Shuai Gao, Qijiang Song, Hao Jiang, Dong Shen
History Makes the Future: Iterative Learning Control for High-Speed Trains. IEEE Intell. Transp. Syst. Mag. 16 (1) (2024)
Hao Jiang, Dong Shen, Shunhao Huang, Xinghuo Yu
Accelerated Learning Control for Point-to-Point Tracking Systems. IEEE Trans. Neural Networks Learn. Syst. 35 (1) (2024)
Xiang Cheng, Hao Jiang, Dong Shen, Xinghuo Yu
A Novel Adaptive Gain Strategy for Stochastic Learning Control. IEEE Trans. Cybern. 53 (8) (2023)
Chen Liu, Xiaoe Ruan, Dong Shen, Hao Jiang
Optimal Learning Control Scheme for Discrete-Time Systems With Nonuniform Trials. IEEE Trans. Cybern. 53 (6) (2023)
Xiaoqing Cheng, Chang Yan, Hao Jiang, Yushan Qiu
scHOIS: Determining Cell Heterogeneity Through Hierarchical Clustering Based on Optimal Imputation Strategy. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (2) (2023)
Hao Jiang, Dong Shen, Wai-Ki Ching, Yushan Qiu
A high-order norm-product regularized multiple kernel learning framework for kernel optimization. Inf. Sci. 606 (2022)
Xingying Zhao, Hao Jiang, Dong Shen
Eogface: Deep Face Recognition via Extensional Logits. ICIP (2022)
Xiaoqing Cheng, Chang Yan, Hao Jiang, Yushan Qiu
HOMC: A Hierarchical Clustering Algorithm Based on Optimal Low Rank Matrix Completion for Single Cell Analysis. ICIC (3) (2021)
Yushan Qiu, Hao Jiang, Wai-Ki Ching
Unsupervised Learning Framework With Multidimensional Scaling in Predicting Epithelial-Mesenchymal Transitions. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (6) (2021)
Hao Jiang, Yushan Qiu, Wenpin Hou, Xiaoqing Cheng, Man Yi Yim, Wai-Ki Ching
Drug Side-Effect Profiles Prediction: From Empirical to Structural Risk Minimization. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (2) (2020)
Yushan Qiu, Yulong Huang, Shaobo Tan, Dongqi Li, Ada Chaeli van der Zijp-Tan, Glen M. Borchert, Hao Jiang, Jingshan Huang
Exploring Observability of Attractor Cycles in Boolean Networks for Biomarker Detection. IEEE Access 7 (2019)
Yushan Qiu, Hao Jiang, Wai-Ki Ching, Michael K. Ng
-regularization method. Artif. Intell. Medicine 95 (2019)
Yushan Qiu, Hao Jiang, Wai-Ki Ching, Xiaoqing Cheng
Discovery of Boolean metabolic networks: integer linear programming based approach. BMC Syst. Biol. 12 (1) (2018)
Hao Jiang, Wai-Ki Ching, Ka Fai Cedric Yiu, Yushan Qiu
Stationary Mahalanobis kernel SVM for credit risk evaluation. Appl. Soft Comput. 71 (2018)
Hao Jiang, Wai-Ki Ching, Yushan Qiu, Xiaoqing Cheng
Optimal projection method determination by Logdet Divergence and perturbed von-Neumann Divergence. BMC Syst. Biol. 11 (6) (2017)
Hao Jiang, Wai-Ki Ching, Wai-Shun Cheung, Wenpin Hou, Hong Yin
Hadamard Kernel SVM with applications for breast cancer outcome predictions. BMC Syst. Biol. 11 (S-7) (2017)
Hao Jiang, Wai-Ki Ching, Yushan Qiu, Xiaoqing Cheng
Unconstrained optimization in projection method for indefinite SVMs. BIBM (2016)
Hao Jiang, Yushan Qiu, Xiaoqing Cheng, Wai-Ki Ching
On Eigen-matrix translation method for classification of biological data. J. Syst. Sci. Complex. 28 (5) (2015)
Limin Li, Kiyoko F. Aoki-Kinoshita, Wai-Ki Ching, Hao Jiang
On using physico-chemical properties of amino acids in string kernels for protein classification via support vector machines. J. Syst. Sci. Complex. 28 (2) (2015)
Yushan Qiu, Xiaoqing Cheng, Wai-Ki Ching, Hao Jiang, Tatsuya Akutsu
On observability of attractors in Boolean Networks. BIBM (2015)
Limin Li, Hao Jiang, Yushan Qiu, Wai-Ki Ching, Vassilios S. Vassiliadis
Discovery of metabolite biomarkers: flux analysis and reaction-reaction network approach. BMC Syst. Biol. 7 (S-2) (2013)
Hao Jiang, Takeyuki Tamura, Wai-Ki Ching, Tatsuya Akutsu
On the Complexity of Inference and Completion of Boolean Networks from Given Singleton Attractors. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (11) (2013)
Hao Jiang, Wai-Ki Ching, Delin Chu
Discriminant analysis in pairwise kernel learning for SVM classification. Int. J. Bioinform. Res. Appl. 8 (3/4) (2012)
Xi Chen, Hao Jiang, Yushan Qiu, Wai-Ki Ching
On optimal control policy for probabilistic Boolean network: a state reduction approach. BMC Syst. Biol. 6 (S-1) (2012)
Hao Jiang, Wai-Ki Ching
Correlation Kernels for Support Vector Machines Classification with Applications in Cancer Data. Comput. Math. Methods Medicine 2012 (2012)
Hao Jiang, Wai-Ki Ching
The role of Eigen-matrix translation in classification of biological datasets. BIBM (2012)
Limin Li, Hao Jiang, Wai-Ki Ching, Vassilios S. Vassiliadis
Metabolite biomarker discovery for metabolic diseases by flux analysis. ISB (2012)
Hao Jiang, Wai-Ki Ching, Kiyoko F. Aoki-Kinoshita, Dianjing Guo
Modeling genetic regulatory networks: a delay discrete dynamical model approach. J. Syst. Sci. Complex. 25 (6) (2012)
Wai-Ki Ching, Ho-Yin Leung, Hao Jiang, Liang Sun, Tak Kuen Siu
A Markovian network model for default risk management. Int. J. Intell. Eng. Informatics 1 (1) (2010)
Wai-Ki Ching, Ho-Yin Leung, Zhenyu Wu, Hao Jiang
Modeling default risk via a hidden Markov model of multiple sequences. Frontiers Comput. Sci. China 4 (2) (2010)
Wai-Ki Ching, Ho-Yin Leung, Hao Jiang, Liang Sun
A Markovian Model for Default Risk in a Network of Sectors. BIFE (2009)

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Publication Activity (10 Years)

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Hao Jiang