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Hao Jiang 0009
Person information
- affiliation: Renmin University of China, Beijing, China, Department of Mathematics, Beijing, China
- affiliation: University of Hong Kong, Department of Mathematics
Other persons with the same name
- Hao Jiang — disambiguation page
- Hao Jiang 0001 — National University of Defense Technology, College of Computer, Changsha, China
- Hao Jiang 0002
— Stanford University, Department of Mechanical Engineering, CA, USA
- Hao Jiang 0003
- Hao Jiang 0004
- Hao Jiang 0005
- Hao Jiang 0006
- Hao Jiang 0007 — Boston College, Chestnut Hill, MA, USA (and 2 more)
- Hao Jiang 0008
- Hao Jiang 0010
- Hao Jiang 0011 — University of Hong Kong (and 1 more)
- Hao Jiang 0012 — Pennsylvania State University, University Park, PA, USA
- Hao Jiang 0013 — CAS, Institute of Computing Technology, Beijing, China
- Hao Jiang 0014 — San Francisco State University, School of Engineering, San Francisco, CA, USA (and 1 more)
- Hao Jiang 0015 — University of Science and Technology of China, Hefei, China
- Hao Jiang 0016 — Clemson University, SC, USA
- Hao Jiang 0017 — University of Massachusetts, Amherst, MA, USA
- Hao Jiang 0018 — Michigan State University, USA
- Hao Jiang 0019 — University of Kaiserslautern, Germany
- Hao Jiang 0020
- Hao Jiang 0021
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2020 – today
- 2025
- [j28]Senwen Zhan, Hao Jiang
Co-regularized optimal high-order graph embedding for multi-view clustering. Pattern Recognit. 157: 110892 (2025) - 2024
- [j27]Zeyi Zhang
Data-Driven Learning Control Algorithms for Unachievable Tracking Problems. IEEE CAA J. Autom. Sinica 11(1): 205-218 (2024) - [j26]Shuai Gao
History Makes the Future: Iterative Learning Control for High-Speed Trains. IEEE Intell. Transp. Syst. Mag. 16(1): 6-21 (2024) - [j25]Hao Jiang
Accelerated Learning Control for Point-to-Point Tracking Systems. IEEE Trans. Neural Networks Learn. Syst. 35(1): 1265-1277 (2024) - [j24]Xiang Cheng
A Novel Accelerated Multistage Learning Control Mechanism via Virtual Performance Reduction. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6338-6352 (2024) - [i1]Xiaoling Zhou, Ou Wu, Michael K. Ng, Hao Jiang:
Data Valuation by Leveraging Global and Local Statistical Information. CoRR abs/2405.17464 (2024) - 2023
- [j23]Hao Jiang, Xun He, Qijiang Song, Dong Shen
Decentralized learning control for large-scale systems with gain-adaptation mechanisms. Inf. Sci. 623: 539-558 (2023) - [j22]Xiaoqing Cheng, Chang Yan, Hao Jiang
scHOIS: Determining Cell Heterogeneity Through Hierarchical Clustering Based on Optimal Imputation Strategy. IEEE ACM Trans. Comput. Biol. Bioinform. 20(2): 1431-1444 (2023) - [j21]Chen Liu, Xiaoe Ruan
Optimal Learning Control Scheme for Discrete-Time Systems With Nonuniform Trials. IEEE Trans. Cybern. 53(6): 3639-3650 (2023) - [j20]Xiang Cheng
A Novel Adaptive Gain Strategy for Stochastic Learning Control. IEEE Trans. Cybern. 53(8): 5264-5275 (2023) - 2022
- [j19]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: 72-91 (2022) - [c8]Xingying Zhao, Hao Jiang, Dong Shen:
Eogface: Deep Face Recognition via Extensional Logits. ICIP 2022: 311-315 - 2021
- [j18]Yushan Qiu
Unsupervised Learning Framework With Multidimensional Scaling in Predicting Epithelial-Mesenchymal Transitions. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2714-2723 (2021) - [c7]Yiyao Dou, Hao Jiang:
Informative gene identification for Single-Cell RNA-Seq Data with Mutual Information based Firefly Algorithm. ICBBE 2021: 57-64 - [c6]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: 66-76 - 2020
- [j17]Hao Jiang
Drug Side-Effect Profiles Prediction: From Empirical to Structural Risk Minimization. IEEE ACM Trans. Comput. Biol. Bioinform. 17(2): 402-410 (2020)
2010 – 2019
- 2019
- [j16]Yushan Qiu
Exploring Observability of Attractor Cycles in Boolean Networks for Biomarker Detection. IEEE Access 7: 127745-127753 (2019) - [j15]Yushan Qiu, Hao Jiang, Wai-Ki Ching, Michael K. Ng
On predicting epithelial mesenchymal transition by integrating RNA-binding proteins and correlation data via L1/2-regularization method. Artif. Intell. Medicine 95: 96-103 (2019) - 2018
- [j14]Hao Jiang, Wai-Ki Ching, Ka Fai Cedric Yiu, Yushan Qiu:
Stationary Mahalanobis kernel SVM for credit risk evaluation. Appl. Soft Comput. 71: 407-417 (2018) - [j13]Yushan Qiu, Hao Jiang, Wai-Ki Ching, Xiaoqing Cheng:
Discovery of Boolean metabolic networks: integer linear programming based approach. BMC Syst. Biol. 12(1): 53-60 (2018) - 2017
- [j12]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): 45-61 (2017) - [j11]Hao Jiang, Wai-Ki Ching, Wai-Shun Cheung, Wenpin Hou
Hadamard Kernel SVM with applications for breast cancer outcome predictions. BMC Syst. Biol. 11(S-7): 163-174 (2017) - 2016
- [c5]Hao Jiang, Wai-Ki Ching, Yushan Qiu, Xiaoqing Cheng:
Unconstrained optimization in projection method for indefinite SVMs. BIBM 2016: 584-591 - 2015
- [j10]Limin Li, Kiyoko F. Aoki-Kinoshita
On using physico-chemical properties of amino acids in string kernels for protein classification via support vector machines. J. Syst. Sci. Complex. 28(2): 504-516 (2015) - [j9]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): 1212-1230 (2015) - [c4]Yushan Qiu, Xiaoqing Cheng, Wai-Ki Ching, Hao Jiang, Tatsuya Akutsu
On observability of attractors in Boolean Networks. BIBM 2015: 263-266 - 2013
- [b1]Hao Jiang:
Construction and computation methods for biological networks. University of Hong Kong, 2013 - [j8]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): S13 (2013) - [j7]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. 96-A(11): 2265-2274 (2013) - 2012
- [j6]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): S8 (2012) - [j5]Hao Jiang, Wai-Ki Ching:
Correlation Kernels for Support Vector Machines Classification with Applications in Cancer Data. Comput. Math. Methods Medicine 2012: 205025:1-205025:7 (2012) - [j4]Hao Jiang, Wai-Ki Ching, Delin Chu:
Discriminant analysis in pairwise kernel learning for SVM classification. Int. J. Bioinform. Res. Appl. 8(3/4): 305-321 (2012) - [j3]Hao Jiang, Wai-Ki Ching, Kiyoko F. Aoki-Kinoshita
Modeling genetic regulatory networks: a delay discrete dynamical model approach. J. Syst. Sci. Complex. 25(6): 1052-1067 (2012) - [c3]Hao Jiang, Wai-Ki Ching:
The role of Eigen-matrix translation in classification of biological datasets. BIBM 2012: 1-4 - [c2]Limin Li, Hao Jiang, Wai-Ki Ching, Vassilios S. Vassiliadis:
Metabolite biomarker discovery for metabolic diseases by flux analysis. ISB 2012: 1-5 - 2010
- [j2]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): 187-195 (2010) - [j1]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): 104-124 (2010)
2000 – 2009
- 2009
- [c1]Wai-Ki Ching, Ho-Yin Leung, Hao Jiang, Liang Sun:
A Markovian Model for Default Risk in a Network of Sectors. BIFE 2009: 373-377
Coauthor Index
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