Yushan Qiu

35 papers Journal 29Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
SMCC: A Novel Clustering Method for Single- and Multi-Omics Data Based on Co-Regularized Network Fusion.
IEEE Trans. Comput. Biol. Bioinform.
Sha Tian, Ying Yang, Yushan Qiu, Quan Zou
2025 J jnl
APDCA: An accurate and effective method for predicting associations between RBPs and AS-events during epithelial-mesenchymal transition.
PLoS Comput. Biol.
Yangsong He, Zheng-Jian Bai, Wai-Ki Ching, Quan Zou, Yushan Qiu
2025 J jnl
Ensemble machine learning-based pre-trained annotation approach for scRNA-seq data using gradient boosting with genetic optimizer.
BMC Bioinform.
Osama Elnahas, Waleed M. Ead, Yushan Qiu, Jian Lu
2025 J jnl
GSTRPCA: irregular tensor singular value decomposition for single-cell multi-omics data clustering.
Briefings Bioinform.
Lu-Bin Cui, Guiliang Guo, Michael K. Ng, Quan Zou, Yushan Qiu
2025 J jnl
PLNMFG: Pseudo-label guided non-negative matrix factorization model with graph constraint for single-cell multi-omics data clustering.
PLoS Comput. Biol.
Hui Yuan, Mingzhu Liu, Yushan Qiu, Wai-Ki Ching, Quan Zou
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
scMNMF: a novel method for single-cell multi-omics clustering based on matrix factorization.
Briefings Bioinform.
Yushan Qiu, Dong Guo, Pu Zhao, Quan Zou
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
ConSpaS: a contrastive learning framework for identifying spatial domains by integrating local and global similarities.
Briefings Bioinform.
Siyao Wu, Yushan Qiu, Xiaoqing Cheng
2023 J jnl
PCB: A pseudotemporal causality-based Bayesian approach to identify EMT-associated regulatory relationships of AS events and RBPs during breast cancer progression.
PLoS Comput. Biol.
Liangjie Sun, Yushan Qiu, Wai-Ki Ching, Pu Zhao, Quan Zou
2023 J jnl
SSNMDI: a novel joint learning model of semi-supervised non-negative matrix factorization and data imputation for clustering of single-cell RNA-seq data.
Briefings Bioinform.
Yushan Qiu, Chang Yan, Pu Zhao, Quan Zou
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 J jnl
MDICC: novel method for multi-omics data integration and cancer subtype identification.
Briefings Bioinform.
Ying Yang, Sha Tian, Yushan Qiu, Pu Zhao, Quan Zou
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 J jnl
Matrix factorization-based data fusion for the prediction of RNA-binding proteins and alternative splicing event associations during epithelial-mesenchymal transition.
Briefings Bioinform.
Yushan Qiu, Wai-Ki Ching, Quan Zou
2021 J jnl
Prediction of RNA-binding protein and alternative splicing event associations during epithelial-mesenchymal transition based on inductive matrix completion.
Briefings Bioinform.
Yushan Qiu, Wai-Ki Ching, Quan Zou
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 — conf
Novel Method for Singleton and Cyclic Attractor Observability in Boolean Networks.
BIBM
Yushan Qiu, Yulong Huang, Shaobo Tan, Dongqi Li, Ada Chaeli van der Zijp-Tan, Ada Fong, Glen M. Borchert, Jingshan Huang
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
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 J jnl
A systematic framework to derive
BMC Bioinform.
Wenpin Hou, Yushan Qiu, Nobuyuki Hashimoto, Wai-Ki Ching, Kiyoko F. Aoki-Kinoshita
2016 J jnl
Exact Identification of the Structure of a Probabilistic Boolean Network from Samples.
IEEE ACM Trans. Comput. Biol. Bioinform.
Xiaoqing Cheng, Tomoya Mori, Yushan Qiu, Wai-Ki Ching, Tatsuya Akutsu
2016 — conf
Unconstrained optimization in projection method for indefinite SVMs.
BIBM
Hao Jiang, Wai-Ki Ching, Yushan Qiu, Xiaoqing Cheng
2015 — —
Mathematical models for biological networks and machine learning with applications.
Yushan Qiu
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
2014 — conf
Construction of Probabilistic Boolean Network for Credit Default Data.
CSO
Ruochen Liang, Yushan Qiu, Wai-Ki Ching
2014 J jnl
On control of singleton attractors in multiple Boolean networks: integer programming-based method.
BMC Syst. Biol.
Yushan Qiu, Takeyuki Tamura, Wai-Ki Ching, Tatsuya Akutsu
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
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