Hao Jiang

47 papers B 1Journal 38Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Enhancement of Iterative Learning Control With a Novel Error-Adaptive Weighting Mechanism.
IEEE Trans. Autom. Control.
Zeyi Zhang, Dong Shen, Hao Jiang, Samer S. Saab
2025 J jnl
Co-regularized optimal high-order graph embedding for multi-view clustering.
Pattern Recognit.
Senwen Zhan, Hao Jiang, Dong Shen
2025 J jnl
Noisy Error-Adaptive Weighting Strategy for Accelerating ILC in Discrete-Time Systems.
IEEE Trans. Cybern.
Zeyi Zhang, Dong Shen, Hao Jiang, Samer Saab, Xinghuo Yu
2025 J jnl
scRECL: representative ensembles with contrastive learning for scRNA-seq data clustering analysis.
Briefings Bioinform.
Yixiang Huang, Hao Jiang, Wai-Ki Ching, Dong Shen
2024 J jnl
A Novel Accelerated Multistage Learning Control Mechanism via Virtual Performance Reduction.
IEEE Trans. Neural Networks Learn. Syst.
Xiang Cheng, Hao Jiang, Dong Shen
2024 J jnl
AGML: Adaptive Graph-Based Multi-Label Learning for Prediction of RBP and as Event Associations During EMT.
IEEE ACM Trans. Comput. Biol. Bioinform.
Yushan Qiu, Wensheng Chen, Wai-Ki Ching, Hongmin Cai, Hao Jiang, Quan Zou
2024 J jnl
Accelerated Learning Control for Point-to-Point Tracking Systems.
IEEE Trans. Neural Networks Learn. Syst.
Hao Jiang, Dong Shen, Shunhao Huang, Xinghuo Yu
2024 J jnl
An Accelerated Adaptive Gain Design in Stochastic Learning Control.
IEEE Trans. Cybern.
Xiang Cheng, Hao Jiang, Dong Shen, Xinghuo Yu
2024 J jnl
Data Valuation by Leveraging Global and Local Statistical Information.
CoRR
Xiaoling Zhou, Ou Wu, Michael K. Ng, Hao Jiang
2024 J jnl
Data-Driven Learning Control Algorithms for Unachievable Tracking Problems.
IEEE CAA J. Autom. Sinica
Zeyi Zhang, Hao Jiang, Dong Shen, Samer S. Saab
2024 J jnl
History Makes the Future: Iterative Learning Control for High-Speed Trains.
IEEE Intell. Transp. Syst. Mag.
Shuai Gao, Qijiang Song, Hao Jiang, Dong Shen
2024 J jnl
Quantitative Modeling of Stemness in Single-Cell RNA Sequencing Data: A Nonlinear One-Class Support Vector Machine Method.
J. Comput. Biol.
Hao Jiang, Jingxin Liu, You Song, Jinzhi Lei
2024 J jnl
scEWE: high-order element-wise weighted ensemble clustering for heterogeneity analysis of single-cell RNA-sequencing data.
Briefings Bioinform.
Yixiang Huang, Hao Jiang, Wai-Ki Ching
2024 J jnl
scTPC: a novel semisupervised deep clustering model for scRNA-seq data.
Bioinform.
Yushan Qiu, Lingfei Yang, Hao Jiang, Quan Zou
2023 J jnl
A Novel Adaptive Gain Strategy for Stochastic Learning Control.
IEEE Trans. Cybern.
Xiang Cheng, Hao Jiang, Dong Shen, Xinghuo Yu
2023 J jnl
Decentralized learning control for large-scale systems with gain-adaptation mechanisms.
Inf. Sci.
Hao Jiang, Xun He, Qijiang Song, Dong Shen
2023 J jnl
Optimal Learning Control Scheme for Discrete-Time Systems With Nonuniform Trials.
IEEE Trans. Cybern.
Chen Liu, Xiaoe Ruan, Dong Shen, Hao Jiang
2023 J jnl
Robust joint clustering of multi-omics single-cell data via multi-modal high-order neighborhood Laplacian matrix optimization.
Bioinform.
Hao Jiang, Senwen Zhan, Wai-Ki Ching, Luonan Chen
2023 J jnl
scHOIS: Determining Cell Heterogeneity Through Hierarchical Clustering Based on Optimal Imputation Strategy.
IEEE ACM Trans. Comput. Biol. Bioinform.
Xiaoqing Cheng, Chang Yan, Hao Jiang, Yushan Qiu
2022 J jnl
A high-order norm-product regularized multiple kernel learning framework for kernel optimization.
Inf. Sci.
Hao Jiang, Dong Shen, Wai-Ki Ching, Yushan Qiu
2022 B conf
Eogface: Deep Face Recognition via Extensional Logits.
ICIP
Xingying Zhao, Hao Jiang, Dong Shen
2021 — conf
HOMC: A Hierarchical Clustering Algorithm Based on Optimal Low Rank Matrix Completion for Single Cell Analysis.
ICIC (3)
Xiaoqing Cheng, Chang Yan, Hao Jiang, Yushan Qiu
2021 — conf
Informative gene identification for Single-Cell RNA-Seq Data with Mutual Information based Firefly Algorithm.
ICBBE
Yiyao Dou, Hao Jiang
2021 J jnl
Unsupervised Learning Framework With Multidimensional Scaling in Predicting Epithelial-Mesenchymal Transitions.
IEEE ACM Trans. Comput. Biol. Bioinform.
Yushan Qiu, Hao Jiang, Wai-Ki Ching
2020 J jnl
Drug Side-Effect Profiles Prediction: From Empirical to Structural Risk Minimization.
IEEE ACM Trans. Comput. Biol. Bioinform.
Hao Jiang, Yushan Qiu, Wenpin Hou, Xiaoqing Cheng, Man Yi Yim, Wai-Ki Ching
2019 J jnl
Exploring Observability of Attractor Cycles in Boolean Networks for Biomarker Detection.
IEEE Access
Yushan Qiu, Yulong Huang, Shaobo Tan, Dongqi Li, Ada Chaeli van der Zijp-Tan, Glen M. Borchert, Hao Jiang, Jingshan Huang
2019 J jnl
On predicting epithelial mesenchymal transition by integrating RNA-binding proteins and correlation data via
Artif. Intell. Medicine
Yushan Qiu, Hao Jiang, Wai-Ki Ching, Michael K. Ng
2018 J jnl
Discovery of Boolean metabolic networks: integer linear programming based approach.
BMC Syst. Biol.
Yushan Qiu, Hao Jiang, Wai-Ki Ching, Xiaoqing Cheng
2018 J jnl
Stationary Mahalanobis kernel SVM for credit risk evaluation.
Appl. Soft Comput.
Hao Jiang, Wai-Ki Ching, Ka Fai Cedric Yiu, Yushan Qiu
2017 J jnl
Hadamard Kernel SVM with applications for breast cancer outcome predictions.
BMC Syst. Biol.
Hao Jiang, Wai-Ki Ching, Wai-Shun Cheung, Wenpin Hou, Hong Yin
2017 J jnl
Optimal projection method determination by Logdet Divergence and perturbed von-Neumann Divergence.
BMC Syst. Biol.
Hao Jiang, Wai-Ki Ching, Yushan Qiu, Xiaoqing Cheng
2016 — conf
Unconstrained optimization in projection method for indefinite SVMs.
BIBM
Hao Jiang, Wai-Ki Ching, Yushan Qiu, Xiaoqing Cheng
2015 J jnl
On Eigen-matrix translation method for classification of biological data.
J. Syst. Sci. Complex.
Hao Jiang, Yushan Qiu, Xiaoqing Cheng, Wai-Ki Ching
2015 — conf
On observability of attractors in Boolean Networks.
BIBM
Yushan Qiu, Xiaoqing Cheng, Wai-Ki Ching, Hao Jiang, Tatsuya Akutsu
2015 J jnl
On using physico-chemical properties of amino acids in string kernels for protein classification via support vector machines.
J. Syst. Sci. Complex.
Limin Li, Kiyoko F. Aoki-Kinoshita, Wai-Ki Ching, Hao Jiang
2013 — —
Construction and computation methods for biological networks.
Hao Jiang
2013 J jnl
Discovery of metabolite biomarkers: flux analysis and reaction-reaction network approach.
BMC Syst. Biol.
Limin Li, Hao Jiang, Yushan Qiu, Wai-Ki Ching, Vassilios S. Vassiliadis
2013 J jnl
On the Complexity of Inference and Completion of Boolean Networks from Given Singleton Attractors.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Hao Jiang, Takeyuki Tamura, Wai-Ki Ching, Tatsuya Akutsu
2012 J jnl
Correlation Kernels for Support Vector Machines Classification with Applications in Cancer Data.
Comput. Math. Methods Medicine
Hao Jiang, Wai-Ki Ching
2012 J jnl
Discriminant analysis in pairwise kernel learning for SVM classification.
Int. J. Bioinform. Res. Appl.
Hao Jiang, Wai-Ki Ching, Delin Chu
2012 — conf
Metabolite biomarker discovery for metabolic diseases by flux analysis.
ISB
Limin Li, Hao Jiang, Wai-Ki Ching, Vassilios S. Vassiliadis
2012 J jnl
Modeling genetic regulatory networks: a delay discrete dynamical model approach.
J. Syst. Sci. Complex.
Hao Jiang, Wai-Ki Ching, Kiyoko F. Aoki-Kinoshita, Dianjing Guo
2012 J jnl
On optimal control policy for probabilistic Boolean network: a state reduction approach.
BMC Syst. Biol.
Xi Chen, Hao Jiang, Yushan Qiu, Wai-Ki Ching
2012 — conf
The role of Eigen-matrix translation in classification of biological datasets.
BIBM
Hao Jiang, Wai-Ki Ching
2010 J jnl
A Markovian network model for default risk management.
Int. J. Intell. Eng. Informatics
Wai-Ki Ching, Ho-Yin Leung, Hao Jiang, Liang Sun, Tak Kuen Siu
2010 J jnl
Modeling default risk via a hidden Markov model of multiple sequences.
Frontiers Comput. Sci. China
Wai-Ki Ching, Ho-Yin Leung, Zhenyu Wu, Hao Jiang
2009 — conf
A Markovian Model for Default Risk in a Network of Sectors.
BIFE
Wai-Ki Ching, Ho-Yin Leung, Hao Jiang, Liang Sun