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ORCIDCheng Liang 0001
Person information
- affiliation: Shandong Normal University, Jinan, China
Other persons with the same name
- Cheng Liang — disambiguation page
- Cheng Liang 0002 — Shenzhen Institute of Artificial Intelligence and Robotics for Society, China
- Cheng Liang 0003
![[0000-0001-8020-8116]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-8020-8116")
— Guangzhou University, Guangzhou, China - Cheng Liang 0004 — Civil Aviation University of China, Tianjin, China
- Cheng Liang 0005 — Shenzhen VisuCA Key Lab/SIAT, Shenzhen University Town, Shenzhen, China
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2020 – today
- 2025
[j50]Hong Wang, Luhe Zhuang, Yijie Ding, Prayag Tiwari, Cheng Liang:
EDDINet: Enhancing drug-drug interaction prediction via information flow and consensus constrained multi-graph contrastive learning. Artif. Intell. Medicine 159: 103029 (2025)- [j49]Zhimin Li, Wenlan Chen, Hai Zhong, Cheng Liang:
PCLSurv: a prototypical contrastive learning-based multi-omics data integration model for cancer survival prediction. Briefings Bioinform. 26(2) (2025) - [j48]Daoyuan Wang, Lianzhi Wang, Wenlan Chen, Hong Wang, Cheng Liang:
Unsupervised multi-view feature selection based on weighted low-rank tensor learning and its application in multi-omics datasets. Eng. Appl. Artif. Intell. 143: 110041 (2025) - [j47]Daoyuan Wang, Fujian Ren, Yuntang Zhuang, Cheng Liang:
Robust high-order graph learning for incomplete multi-view clustering. Expert Syst. Appl. 280: 127580 (2025) - 2024
- [j46]Peihao Bai, Guanghui Li, Jiawei Luo, Cheng Liang:
Deep learning model for protein multi-label subcellular localization and function prediction based on multi-task collaborative training. Briefings Bioinform. 25(6) (2024) - [j45]Guanghui Li, Shuwen Li, Cheng Liang, Qiu Xiao, Jiawei Luo:
Drug repositioning based on residual attention network and free multiscale adversarial training. BMC Bioinform. 25(1): 261 (2024) - [j44]Guanghui Li, Peihao Bai, Jiao Chen, Cheng Liang:
Identifying virulence factors using graph transformer autoencoder with ESMFold-predicted structures. Comput. Biol. Medicine 170: 108062 (2024) - [j43]Shengpeng Yu, Hong Wang, Meifang Hua, Cheng Liang, Yanshen Sun:
Sparse graph cascade multi-kernel fusion contrastive learning for microbe-disease association prediction. Expert Syst. Appl. 252: 124092 (2024) - [j42]Shengpeng Yu, Hong Wang, Jing Li, Jun Zhao, Cheng Liang, Yanshen Sun:
A Multi-Relational Graph Encoder Network for Fine-Grained Prediction of MiRNA-Disease Associations. IEEE ACM Trans. Comput. Biol. Bioinform. 21(1): 45-56 (2024) - [j41]Cheng Liang, Daoyuan Wang, Huaxiang Zhang, Shichao Zhang, Fei Guo:
Robust Tensor Subspace Learning for Incomplete Multi-View Clustering. IEEE Trans. Knowl. Data Eng. 36(11): 6934-6948 (2024) - [c4]Weiting Yu, Zhimin Li, Cheng Liang:
GCEA: Contrastive-Enhanced Autoencoders with Adaptive Completion for Partial Multi-omics Integration in Cancer Subtyping. ICIC (LNBI 1) 2024: 251-262 - 2023
- [j40]Zixi Zheng, Yanyan Tan, Hong Wang, Shengpeng Yu, Tianyu Liu, Cheng Liang:
CasANGCL: pre-training and fine-tuning model based on cascaded attention network and graph contrastive learning for molecular property prediction. Briefings Bioinform. 24(1) (2023) - [j39]Wenlan Chen, Hong Wang, Cheng Liang:
Deep multi-view contrastive learning for cancer subtype identification. Briefings Bioinform. 24(5) (2023) - [j38]Xuejing Shi, Juntong Zhu, Yahui Long, Cheng Liang:
Identifying spatial domains of spatially resolved transcriptomics via multi-view graph convolutional networks. Briefings Bioinform. 24(5) (2023) - [j37]Hanhan Cong, Hong Liu, Yi Cao, Cheng Liang, Yuehui Chen:
Protein-protein interaction site prediction by model ensembling with hybrid feature and self-attention. BMC Bioinform. 24(1): 456 (2023) - [j36]Zixi Zheng, Hong Wang, Yanyan Tan, Cheng Liang, Yanshen Sun:
EMPPNet: Enhancing Molecular Property Prediction via Cross-modal Information Flow and Hierarchical Attention. Expert Syst. Appl. 234: 121016 (2023) - [j35]Mingchao Shang, Cheng Liang, Jiawei Luo, Huaxiang Zhang:
Incomplete multi-view clustering by simultaneously learning robust representations and optimal graph structures. Inf. Sci. 640: 119038 (2023) - [j34]Guanghui Li, Feifan Zeng, Jiawei Luo, Cheng Liang, Qiu Xiao:
MNCLCDA: predicting circRNA-drug sensitivity associations by using mixed neighbourhood information and contrastive learning. BMC Medical Informatics Decis. Mak. 23(1): 291 (2023) - [j33]Cheng Liang, Lianzhi Wang, Li Liu, Huaxiang Zhang, Fei Guo:
Multi-view unsupervised feature selection with tensor robust principal component analysis and consensus graph learning. Pattern Recognit. 141: 109632 (2023) - [j32]Xiaofeng Shi, Cheng Liang, Hong Wang:
Multiview Robust Graph-Based Clustering for Cancer Subtype Identification. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 544-556 (2023) - 2022
- [j31]Shengpeng Yu, Hong Wang, Tianyu Liu, Cheng Liang, Jiawei Luo:
A knowledge-driven network for fine-grained relationship detection between miRNA and disease. Briefings Bioinform. 23(3) (2022) - [j30]Guanghui Li, Tao Fang, Yuejin Zhang, Cheng Liang, Qiu Xiao, Jiawei Luo:
Predicting miRNA-disease associations based on graph attention network with multi-source information. BMC Bioinform. 23(1): 244 (2022) - [j29]Guanghui Li, Yawei Lin, Jiawei Luo, Qiu Xiao, Cheng Liang:
GGAECDA: Predicting circRNA-disease associations using graph autoencoder based on graph representation learning. Comput. Biol. Chem. 99: 107722 (2022) - 2021
- [j28]Cheng Liang, Mingchao Shang, Jiawei Luo:
Cancer subtype identification by consensus guided graph autoencoders. Bioinform. 37(24): 4779-4786 (2021) - [j27]Buwen Cao, Shuguang Deng, Hua Qin, Jiawei Luo, Guanghui Li, Cheng Liang:
Inferring MicroRNA-Disease Associations Based on the Identification of a Functional Module. J. Comput. Biol. 28(1): 33-42 (2021) - [j26]Pingjian Ding, Cheng Liang, Wenjue Ouyang, Guanghui Li, Qiu Xiao, Jiawei Luo:
Inferring Synergistic Drug Combinations Based on Symmetric Meta-Path in a Novel Heterogeneous Network. IEEE ACM Trans. Comput. Biol. Bioinform. 18(4): 1562-1571 (2021) - [c3]Haoran Liu, Mingchao Shang, Huaxiang Zhang, Cheng Liang:
Cancer Subtype Identification based on Multi-view Subspace Clustering with Adaptive Local Structure Learning. BIBM 2021: 484-490 - 2020
- [j25]Fei Wang, Lei Zhu, Cheng Liang, Jingjing Li, Xiaojun Chang, Ke Lu:
Robust optimal graph clustering. Neurocomputing 378: 153-165 (2020) - [j24]Xiangpin Bai, Lei Zhu, Cheng Liang, Jingjing Li, Xiushan Nie, Xiaojun Chang:
Multi-view feature selection via Nonnegative Structured Graph Learning. Neurocomputing 387: 110-122 (2020) - [j23]Guanghui Li, Jiawei Luo, Diancheng Wang, Cheng Liang, Qiu Xiao, Pingjian Ding, Hailin Chen:
Potential circRNA-disease association prediction using DeepWalk and network consistency projection. J. Biomed. Informatics 112: 103624 (2020) - [j22]Pingjian Ding, Cong Shen, Zihan Lai, Cheng Liang, Guanghui Li, Jiawei Luo:
Incorporating Multisource Knowledge To Predict Drug Synergy Based on Graph Co-regularization. J. Chem. Inf. Model. 60(1): 37-46 (2020) - [j21]Qiu Xiao, Jiawei Luo, Cheng Liang, Guanghui Li, Jie Cai, Pingjian Ding, Ying Liu:
Identifying lncRNA and mRNA Co-Expression Modules from Matched Expression Data in Ovarian Cancer. IEEE ACM Trans. Comput. Biol. Bioinform. 17(2): 623-634 (2020)
2010 – 2019
- 2019
- [j20]Guanghui Li, Jiawei Luo, Cheng Liang, Qiu Xiao, Pingjian Ding, Yuejin Zhang:
Prediction of LncRNA-Disease Associations Based on Network Consistency Projection. IEEE Access 7: 58849-58856 (2019) - [j19]Qiu Xiao, Jiawei Luo, Cheng Liang, Jie Cai, Guanghui Li, Buwen Cao:
CeModule: an integrative framework for discovering regulatory patterns from genomic data in cancer. BMC Bioinform. 20(1): 67:1-67:13 (2019) - [j18]Ka-Chun Wong, Jiao Zhang, Shankai Yan, Xiangtao Li, Qiuzhen Lin, Sam Kwong, Cheng Liang:
DNA Sequencing Technologies: Sequencing Data Protocols and Bioinformatics Tools. ACM Comput. Surv. 52(5): 98:1-98:30 (2019) - [j17]Ning Li, Junjie Yang, Jiaming Zhang, Cheng Liang, Ying Wang, Bin Chen, Changying Zhao, Jingwen Wang, Guangye Zhang, Dongmei Zhao, Yi Liu, Lehai Zhang, Jun Yang, Guimei Li, Zhongtao Gai, Lei Zhang, Guoping Zhao:
Correlation of Gut Microbiome Between ASD Children and Mothers and Potential Biomarkers for Risk Assessment. Genom. Proteom. Bioinform. 17(1): 26-38 (2019) - [j16]Cheng Liang, Shengpeng Yu, Jiawei Luo:
Adaptive multi-view multi-label learning for identifying disease-associated candidate miRNAs. PLoS Comput. Biol. 15(4) (2019) - 2018
- [j15]Yu Qu, Huaxiang Zhang, Cheng Liang, Xiao Dong:
KATZMDA: Prediction of miRNA-Disease Associations Based on KATZ Model. IEEE Access 6: 3943-3950 (2018) - [j14]Jiawei Luo, Lv Ding, Cheng Liang, Tu Hoang Nguyen:
An Efficient Network Motif Discovery Approach for Co-Regulatory Networks. IEEE Access 6: 14151-14158 (2018) - [j13]Qiu Xiao, Jiawei Luo, Cheng Liang, Jie Cai, Pingjian Ding:
A graph regularized non-negative matrix factorization method for identifying microRNA-disease associations. Bioinform. 34(2): 239-248 (2018) - [j12]Jiawei Luo, Pingjian Ding, Cheng Liang, Xiangtao Chen:
Semi-supervised prediction of human miRNA-disease association based on graph regularization framework in heterogeneous networks. Neurocomputing 294: 29-38 (2018) - [j11]Pingjian Ding, Jiawei Luo, Cheng Liang, Qiu Xiao, Buwen Cao:
Human disease MiRNA inference by combining target information based on heterogeneous manifolds. J. Biomed. Informatics 80: 26-36 (2018) - [j10]Guanghui Li, Jiawei Luo, Qiu Xiao, Cheng Liang, Pingjian Ding:
Predicting microRNA-disease associations using label propagation based on linear neighborhood similarity. J. Biomed. Informatics 82: 169-177 (2018) - [j9]Guanghui Li, Jiawei Luo, Zheng Xiao, Cheng Liang:
MTMO: an efficient network-centric algorithm for subtree counting and enumeration. Quant. Biol. 6(2): 142-154 (2018) - 2017
- [j8]Pingjian Ding, Jiawei Luo, Cheng Liang, Jie Cai, Ying Liu, Xiangtao Chen:
A Novel Group Wise-Based Method for Calculating Human miRNA Functional Similarity. IEEE Access 5: 2364-2372 (2017) - [j7]Jiawei Luo, Qiu Xiao, Cheng Liang, Pingjian Ding:
Predicting MicroRNA-Disease Associations Using Kronecker Regularized Least Squares Based on Heterogeneous Omics Data. IEEE Access 5: 2503-2513 (2017) - [j6]Guanghui Li, Jiawei Luo, Qiu Xiao, Cheng Liang, Pingjian Ding, Buwen Cao:
Predicting MicroRNA-Disease Associations Using Network Topological Similarity Based on DeepWalk. IEEE Access 5: 24032-24039 (2017) - [j5]Jiawei Luo, Pingjian Ding, Cheng Liang, Buwen Cao, Xiangtao Chen:
Collective Prediction of Disease-Associated miRNAs Based on Transduction Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 14(6): 1468-1475 (2017) - 2016
- [j4]Cheng Liang, Yue Li, Jiawei Luo:
A Novel Method to Detect Functional microRNA Regulatory Modules by Bicliques Merging. IEEE ACM Trans. Comput. Biol. Bioinform. 13(3): 549-556 (2016) - [c2]Buwen Cao, Jiawei Luo, Cheng Liang, Shulin Wang:
Detecting overlapping protein complexes in weighted protein-protein interaction networks using pseudo-clique extension based on fuzzy relation. IJCNN 2016: 1244-1252 - 2015
- [j3]Cheng Liang, Yue Li, Jiawei Luo, Zhaolei Zhang:
A novel motif-discovery algorithm to identify co-regulatory motifs in large transcription factor and microRNA co-regulatory networks in human. Bioinform. 31(14): 2348-2355 (2015) - [j2]Buwen Cao, Jiawei Luo, Cheng Liang, Shulin Wang, Dan Song:
MOEPGA: A novel method to detect protein complexes in yeast protein-protein interaction networks based on MultiObjective Evolutionary Programming Genetic Algorithm. Comput. Biol. Chem. 58: 173-181 (2015) - 2014
- [j1]Yue Li, Cheng Liang, Ka-Chun Wong, Jiawei Luo, Zhaolei Zhang:
Mirsynergy: detecting synergistic miRNA regulatory modules by overlapping neighbourhood expansion. Bioinform. 30(18): 2627-2635 (2014) - 2011
- [c1]Jiawei Luo, Li Zhang, Cheng Liang:
A Multigroup Parallel Genetic Algorithm for Multiple Sequence Alignment. AICI (1) 2011: 308-316
Coauthor Index
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