Education Experiences:
2009-2013 The University of Hong Kong, PhD
2005-2009 Harbin Institute of Technology, Bachelor
Working Experiences:
2013-Now, School of Mathematics
Research Areas:
Data mining, Bioinformatics, Learning, Optimization(algorithm design and applications)
Courses: Advanced Algebra, Data Minning, Mathematical Statistics
Selected Papers:
(1) Yixiang Huang, Hao Jiang*, Wai-Ki Ching, scEWE: high-order element-wise weighted ensemble clustering for heterogeneity analysis of single-cell RNA-sequencing data, Briefings in Bioinformatics , Volume 25, Issue 3, May 2024, bbae203.
(2) Yushan Qiu, Lingfei Yang, Hao Jiang*, Quan Zou*, scTPC: a novel semi-supervised deep clustering model for scRNA-seq data, Bioinformatics , 2024, btae293.
(3) Shuai Gao, Qijiang Song, Hao Jiang, Dong Shen. History Makes Future: Iterative Learning Control for High-Speed Trains. IEEE Intelligent Transportation Systems Magazine, vol. 16, no. 1, pp. 6-21, 2024.
(4) Hao Jiang, Dong Shen, Shunhao Huang, Xinghuo Yu. Accelerated Learning Control for Point-to-Point Tracking Systems. IEEE Transactions on Neural Networks and Learning Systems, vol. 35, no. 1, pp. 1265-1277, 2024.
(5) Zeyi Zhang, Hao Jiang, Dong Shen, Samer S. Saab. Data-driven Learning Control Algorithms Meeting Unachievable Tracking Problems. IEEE/CAA Journal of Automatica Sinica , vol. 11, no. 1, pp. 205-218, 2024.
(6) Hao Jiang, Senwen Zhan, Wai-Ki Ching and Luonan Chen. Robust joint clustering of multi-omics single-cell data via multi-modal high-order neighborhood laplacian matrix optimization, Bioinformatics, 39(7),2023.
(7) Hao Jiang, Xun He, Qijiang Song, Dong Shen. Decentralized Learning Control for LargeScale Systems with Gain Adaptation Mechanism. Information Sciences, 623, 539-558, 2023.
(8) Hao Jiang, Jing xin Liu, You Song, Jinzhi Lei, Quantitative Modeling of Stemness in Single-Cell RNA Sequencing Data: A Nonlinear One-Class Support Vector Machine Method, Journal of Computational Biology, 2023.
(9) X. Cheng, C. Yan, H. Jiang and Y. Qiu, "scHOIS: Determining Cell Heterogeneity Through Hierarchical Clustering Based on Optimal Imputation Strategy," in IEEE/ACM Transactions on Computational Biology and Bioinformatics , vol. 20, no. 2, pp. 1431-1444, 1 March-April 2023.
(10) Xiang Cheng, Hao Jiang, Dong Shen, Xinghuo Yu. A Novel Adaptive Gain Strategy for Stochastic Learning Control. IEEE Transactions on Cybernetics, vol. 53, no. 8, pp. 5264-5275, 2023.
(11) Hao Jiang, Dong Shen, Wai-Ki Ching, Yushan Qiu. A High-Order Norm-Product Regularized Multiple Kernel Learning Framework for Kernel Optimization. Information Sciences, 606, 72-91, 2022
(12) Niu Huo, Hao Jiang, Dong Shen, JinRong Wang. Finite-Level Uniformly Quantized Learning Control with Random Data Dropouts. International Journal of Robust and Nonlinear Control , vol. 33, no. 7, pp. 4056-4075, 2023.
(13) Hao Jiang，Ming Yi，Shihua Zhang，A kernel non-negative matrix factorization framework for single cell clustering，Applied Mathematical Modelling, 90(2), 2021, 875-888.
(14) Yushan Qiu, Hao Jiang*, Wai-Ki Ching, Unsupervised learning framework with multidimensional scaling in predicting epithelial-mesenchymal transitions, IEEE-ACM Transactions on Computational Biology and Bioinformatics, 18(6),2021,2714-2723.
Books/ Monograph:
Services & Awards:
IEEE 11th DDCLS Best Paper Award Finalist,2022
Beijing Excellent Advisor Award,2021
