Cheng Liang - RankMe

65 papers A* 5B 1Journal 54Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Geometry-Aware Variational Information Maximization for Deep Incomplete Multi-view Clustering. AAAI Wenlan Chen, Lu Gao, Daoyuan Wang, Fei Guo, Cheng Liang
2026	J	`jnl`	High-order correlation and consistency-aware multi-view clustering via anchor graph learning. Neural Networks Cheng Liang, Wenchao Zang, Daoyuan Wang, Fei Guo
2026	J	`jnl`	MultiPert: An adversarial alignment and dual attention framework for single-cell multi-omics perturbation prediction. PLoS Comput. Biol. Mengyuan Zhao, Xinyue Tang, Jiawei Li, Cheng Liang, Jijun Tang, Fei Guo
2026	A*	`conf`	PharmaQA: Prompt-Based Molecular Representation Learning via Pharmacophore-Oriented Question Answering. AAAI Chengwei Ai, Qiaozhen Meng, Mengwei Sun, Ruihan Dong, Hongpeng Yang, Shiqiang Ma, Xiaoyi Liu, Cheng Liang, Fei Guo
2026	J	`jnl`	Structured knowledge-inspired two-stage knowledge alignment framework for Alzheimer's disease diagnosis. Pattern Recognit. Fulin Zheng, Hong Wang, Tianyu Liu, Feiyan Feng, Kai Wu, Cheng Liang
2025	J	`jnl`	Cancer survival prediction based on soft-label guided contrastive learning and global feature fusion. Bioinform. Huiying Jiang, Wenlan Chen, Fei Guo, Cheng Liang
2025	A*	`conf`	Deep Variational Incomplete Multi-View Clustering with Information-Theoretic Guidance. ACM Multimedia Wenlan Chen, Lu Gao, Cheng Liang, Fei Guo
2025	A*	`conf`	Dual-Level Distribution Alignment for Deep Incomplete Multi-View Clustering. ACM Multimedia Fujian Ren, Wenlan Chen, Lu Gao, Fei Guo, Cheng Liang
2025	J	`jnl`	EDDINet: Enhancing drug-drug interaction prediction via information flow and consensus constrained multi-graph contrastive learning. Artif. Intell. Medicine Hong Wang, Luhe Zhuang, Yijie Ding, Prayag Tiwari, Cheng Liang
2025	A*	`conf`	Image-Enhanced Hybrid Encoding with Reinforced Contrastive Learning for Spatial Domain Identification in Spatial Transcriptomics. IJCAI Daoyuan Wang, Lu Gao, Wenlan Chen, Cheng Liang, Fei Guo
2025	J	`jnl`	PCLSurv: a prototypical contrastive learning-based multi-omics data integration model for cancer survival prediction. Briefings Bioinform. Zhimin Li, Wenlan Chen, Hai Zhong, Cheng Liang
2025	—	`conf`	Prototype-Calibrated Multimodal Fusion with Relational Consistency for Spatial Domain Identification in Spatial Transcriptomics. BIBM Xiaoyu Liu, Daoyuan Wang, Guanghui Li, Cheng Liang
2025	J	`jnl`	Robust high-order graph learning for incomplete multi-view clustering. Expert Syst. Appl. Daoyuan Wang, Fujian Ren, Yuntang Zhuang, Cheng Liang
2025	J	`jnl`	Unsupervised multi-view feature selection based on weighted low-rank tensor learning and its application in multi-omics datasets. Eng. Appl. Artif. Intell. Daoyuan Wang, Lianzhi Wang, Wenlan Chen, Hong Wang, Cheng Liang
2024	J	`jnl`	A Multi-Relational Graph Encoder Network for Fine-Grained Prediction of MiRNA-Disease Associations. IEEE ACM Trans. Comput. Biol. Bioinform. Shengpeng Yu, Hong Wang, Jing Li, Jun Zhao, Cheng Liang, Yanshen Sun
2024	J	`jnl`	Deep learning model for protein multi-label subcellular localization and function prediction based on multi-task collaborative training. Briefings Bioinform. Peihao Bai, Guanghui Li, Jiawei Luo, Cheng Liang
2024	J	`jnl`	Drug repositioning based on residual attention network and free multiscale adversarial training. BMC Bioinform. Guanghui Li, Shuwen Li, Cheng Liang, Qiu Xiao, Jiawei Luo
2024	—	`conf`	GCEA: Contrastive-Enhanced Autoencoders with Adaptive Completion for Partial Multi-omics Integration in Cancer Subtyping. ICIC (LNBI 1) Weiting Yu, Zhimin Li, Cheng Liang
2024	J	`jnl`	Identifying virulence factors using graph transformer autoencoder with ESMFold-predicted structures. Comput. Biol. Medicine Guanghui Li, Peihao Bai, Jiao Chen, Cheng Liang
2024	J	`jnl`	Robust Tensor Subspace Learning for Incomplete Multi-View Clustering. IEEE Trans. Knowl. Data Eng. Cheng Liang, Daoyuan Wang, Huaxiang Zhang, Shichao Zhang, Fei Guo
2024	J	`jnl`	Sparse graph cascade multi-kernel fusion contrastive learning for microbe-disease association prediction. Expert Syst. Appl. Shengpeng Yu, Hong Wang, Meifang Hua, Cheng Liang, Yanshen Sun
2023	J	`jnl`	CasANGCL: pre-training and fine-tuning model based on cascaded attention network and graph contrastive learning for molecular property prediction. Briefings Bioinform. Zixi Zheng, Yanyan Tan, Hong Wang, Shengpeng Yu, Tianyu Liu, Cheng Liang
2023	J	`jnl`	Deep multi-view contrastive learning for cancer subtype identification. Briefings Bioinform. Wenlan Chen, Hong Wang, Cheng Liang
2023	J	`jnl`	EMPPNet: Enhancing Molecular Property Prediction via Cross-modal Information Flow and Hierarchical Attention. Expert Syst. Appl. Zixi Zheng, Hong Wang, Yanyan Tan, Cheng Liang, Yanshen Sun
2023	J	`jnl`	Identifying spatial domains of spatially resolved transcriptomics via multi-view graph convolutional networks. Briefings Bioinform. Xuejing Shi, Juntong Zhu, Yahui Long, Cheng Liang
2023	J	`jnl`	Incomplete multi-view clustering by simultaneously learning robust representations and optimal graph structures. Inf. Sci. Mingchao Shang, Cheng Liang, Jiawei Luo, Huaxiang Zhang
2023	J	`jnl`	MNCLCDA: predicting circRNA-drug sensitivity associations by using mixed neighbourhood information and contrastive learning. BMC Medical Informatics Decis. Mak. Guanghui Li, Feifan Zeng, Jiawei Luo, Cheng Liang, Qiu Xiao
2023	J	`jnl`	Multi-view unsupervised feature selection with tensor robust principal component analysis and consensus graph learning. Pattern Recognit. Cheng Liang, Lianzhi Wang, Li Liu, Huaxiang Zhang, Fei Guo
2023	J	`jnl`	Multiview Robust Graph-Based Clustering for Cancer Subtype Identification. IEEE ACM Trans. Comput. Biol. Bioinform. Xiaofeng Shi, Cheng Liang, Hong Wang
2023	J	`jnl`	Protein-protein interaction site prediction by model ensembling with hybrid feature and self-attention. BMC Bioinform. Hanhan Cong, Hong Liu, Yi Cao, Cheng Liang, Yuehui Chen
2022	J	`jnl`	A knowledge-driven network for fine-grained relationship detection between miRNA and disease. Briefings Bioinform. Shengpeng Yu, Hong Wang, Tianyu Liu, Cheng Liang, Jiawei Luo
2022	J	`jnl`	GGAECDA: Predicting circRNA-disease associations using graph autoencoder based on graph representation learning. Comput. Biol. Chem. Guanghui Li, Yawei Lin, Jiawei Luo, Qiu Xiao, Cheng Liang
2022	—	`conf`	Multi-view Unsupervised Feature Selection via Consensus Guided Low-rank Tensor Learning. BIBM Lianzhi Wang, Cheng Liang, Wenjiao Dong, Wenlan Chen
2022	J	`jnl`	Predicting miRNA-disease associations based on graph attention network with multi-source information. BMC Bioinform. Guanghui Li, Tao Fang, Yuejin Zhang, Cheng Liang, Qiu Xiao, Jiawei Luo
2021	—	`conf`	Cancer Subtype Identification based on Multi-view Subspace Clustering with Adaptive Local Structure Learning. BIBM Haoran Liu, Mingchao Shang, Huaxiang Zhang, Cheng Liang
2021	J	`jnl`	Cancer subtype identification by consensus guided graph autoencoders. Bioinform. Cheng Liang, Mingchao Shang, Jiawei Luo
2021	J	`jnl`	Inferring MicroRNA-Disease Associations Based on the Identification of a Functional Module. J. Comput. Biol. Buwen Cao, Shuguang Deng, Hua Qin, Jiawei Luo, Guanghui Li, Cheng Liang
2021	J	`jnl`	Inferring Synergistic Drug Combinations Based on Symmetric Meta-Path in a Novel Heterogeneous Network. IEEE ACM Trans. Comput. Biol. Bioinform. Pingjian Ding, Cheng Liang, Wenjue Ouyang, Guanghui Li, Qiu Xiao, Jiawei Luo
2020	J	`jnl`	Identifying lncRNA and mRNA Co-Expression Modules from Matched Expression Data in Ovarian Cancer. IEEE ACM Trans. Comput. Biol. Bioinform. Qiu Xiao, Jiawei Luo, Cheng Liang, Guanghui Li, Jie Cai, Pingjian Ding, Ying Liu
2020	J	`jnl`	Incorporating Multisource Knowledge To Predict Drug Synergy Based on Graph Co-regularization. J. Chem. Inf. Model. Pingjian Ding, Cong Shen, Zihan Lai, Cheng Liang, Guanghui Li, Jiawei Luo
2020	J	`jnl`	Multi-view feature selection via Nonnegative Structured Graph Learning. Neurocomputing Xiangpin Bai, Lei Zhu, Cheng Liang, Jingjing Li, Xiushan Nie, Xiaojun Chang
2020	J	`jnl`	Potential circRNA-disease association prediction using DeepWalk and network consistency projection. J. Biomed. Informatics Guanghui Li, Jiawei Luo, Diancheng Wang, Cheng Liang, Qiu Xiao, Pingjian Ding, Hailin Chen
2020	J	`jnl`	Robust optimal graph clustering. Neurocomputing Fei Wang, Lei Zhu, Cheng Liang, Jingjing Li, Xiaojun Chang, Ke Lu
2019	J	`jnl`	Adaptive multi-view multi-label learning for identifying disease-associated candidate miRNAs. PLoS Comput. Biol. Cheng Liang, Shengpeng Yu, Jiawei Luo
2019	J	`jnl`	CeModule: an integrative framework for discovering regulatory patterns from genomic data in cancer. BMC Bioinform. Qiu Xiao, Jiawei Luo, Cheng Liang, Jie Cai, Guanghui Li, Buwen Cao
2019	J	`jnl`	Correlation of Gut Microbiome Between ASD Children and Mothers and Potential Biomarkers for Risk Assessment. Genom. Proteom. Bioinform. 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
2019	J	`jnl`	DNA Sequencing Technologies: Sequencing Data Protocols and Bioinformatics Tools. ACM Comput. Surv. Ka-Chun Wong, Jiao Zhang, Shankai Yan, Xiangtao Li, Qiuzhen Lin, Sam Kwong, Cheng Liang
2019	J	`jnl`	Prediction of LncRNA-Disease Associations Based on Network Consistency Projection. IEEE Access Guanghui Li, Jiawei Luo, Cheng Liang, Qiu Xiao, Pingjian Ding, Yuejin Zhang
2018	J	`jnl`	A graph regularized non-negative matrix factorization method for identifying microRNA-disease associations. Bioinform. Qiu Xiao, Jiawei Luo, Cheng Liang, Jie Cai, Pingjian Ding
2018	J	`jnl`	An Efficient Network Motif Discovery Approach for Co-Regulatory Networks. IEEE Access Jiawei Luo, Lv Ding, Cheng Liang, Tu Hoang Nguyen
2018	J	`jnl`	Human disease MiRNA inference by combining target information based on heterogeneous manifolds. J. Biomed. Informatics Pingjian Ding, Jiawei Luo, Cheng Liang, Qiu Xiao, Buwen Cao
2018	J	`jnl`	KATZMDA: Prediction of miRNA-Disease Associations Based on KATZ Model. IEEE Access Yu Qu, Huaxiang Zhang, Cheng Liang, Xiao Dong
2018	J	`jnl`	MTMO: an efficient network-centric algorithm for subtree counting and enumeration. Quant. Biol. Guanghui Li, Jiawei Luo, Zheng Xiao, Cheng Liang
2018	J	`jnl`	Predicting microRNA-disease associations using label propagation based on linear neighborhood similarity. J. Biomed. Informatics Guanghui Li, Jiawei Luo, Qiu Xiao, Cheng Liang, Pingjian Ding
2018	J	`jnl`	Semi-supervised prediction of human miRNA-disease association based on graph regularization framework in heterogeneous networks. Neurocomputing Jiawei Luo, Pingjian Ding, Cheng Liang, Xiangtao Chen
2017	J	`jnl`	A Novel Group Wise-Based Method for Calculating Human miRNA Functional Similarity. IEEE Access Pingjian Ding, Jiawei Luo, Cheng Liang, Jie Cai, Ying Liu, Xiangtao Chen
2017	J	`jnl`	Collective Prediction of Disease-Associated miRNAs Based on Transduction Learning. IEEE ACM Trans. Comput. Biol. Bioinform. Jiawei Luo, Pingjian Ding, Cheng Liang, Buwen Cao, Xiangtao Chen
2017	J	`jnl`	Predicting MicroRNA-Disease Associations Using Kronecker Regularized Least Squares Based on Heterogeneous Omics Data. IEEE Access Jiawei Luo, Qiu Xiao, Cheng Liang, Pingjian Ding
2017	J	`jnl`	Predicting MicroRNA-Disease Associations Using Network Topological Similarity Based on DeepWalk. IEEE Access Guanghui Li, Jiawei Luo, Qiu Xiao, Cheng Liang, Pingjian Ding, Buwen Cao
2016	J	`jnl`	A Novel Method to Detect Functional microRNA Regulatory Modules by Bicliques Merging. IEEE ACM Trans. Comput. Biol. Bioinform. Cheng Liang, Yue Li, Jiawei Luo
2016	B	`conf`	Detecting overlapping protein complexes in weighted protein-protein interaction networks using pseudo-clique extension based on fuzzy relation. IJCNN Buwen Cao, Jiawei Luo, Cheng Liang, Shulin Wang
2015	J	`jnl`	A novel motif-discovery algorithm to identify co-regulatory motifs in large transcription factor and microRNA co-regulatory networks in human. Bioinform. Cheng Liang, Yue Li, Jiawei Luo, Zhaolei Zhang
2015	J	`jnl`	MOEPGA: A novel method to detect protein complexes in yeast protein-protein interaction networks based on MultiObjective Evolutionary Programming Genetic Algorithm. Comput. Biol. Chem. Buwen Cao, Jiawei Luo, Cheng Liang, Shulin Wang, Dan Song
2014	J	`jnl`	Mirsynergy: detecting synergistic miRNA regulatory modules by overlapping neighbourhood expansion. Bioinform. Yue Li, Cheng Liang, Ka-Chun Wong, Jiawei Luo, Zhaolei Zhang
2011	—	`conf`	A Multigroup Parallel Genetic Algorithm for Multiple Sequence Alignment. AICI (1) Jiawei Luo, Li Zhang, Cheng Liang