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Zhongjia Wu, Yufeng Wu, Jingyang Gao*. InvBFM:finding genomic inversions from high-throughput sequence data based on feature mining. BMC Genomics. 2020, 21(1):p173.

Lei Cai, Yufeng Wu, Jingyang Gao*. DeepSV: accurate calling of genomic deletions from high-throughput sequencing data using deep convolutional neural network. BMC Bioinfomatics, 2019, 20(1):p665.

Ruofei Bai, Liwei Gao, Jingyang Gao*. CnnSV-Typer: Calling of structural variation genotype based on CUDA acceleration. 21st IEEE International Conference on High Performance Computing and Communications (HPCC), 2019.

Arong Luo, Cheng Ling, Chaodong Zhu*, et al. Comparison of Methods for Molecular Species Delimitation across a Range of Speciation Scenarios. Systematic Biology, 2018, 67(5):830-846

Cheng Ling, Lin Yue, et al, Classification of G-protein Coupled Receptors Based on Semi-navïe Bayesian Inference. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Madrid, Spain, 2018, pp. 2262-2268.

Yichan Li, Cheng Ling*, et al, GPU Parallelism of Phylogenetic Likelihood Estimates for Protein Data, IEEE International Conference on High Performance Computing (HPCC), Exeter, United Kingdom, 2018, pp. 632-639.

Jing Wang, Jingyang Gao*. Deletion genotype calling on the basis of sequence visualization and image classification. Int. J. Data Mining and Bioinformatics.2018, 20(2) ,pp: 109-122.

Man Li, Cheng Ling*, et al. Classification of G-protein coupled receptors based on a rich generation of convolutional neural network, N-gram transformation and multiple sequence alignments. Amino Acids, 2017, 50(1):1-12

Man Li, Cheng Ling*, et al. An efficient CNN-based classification on G-protein Coupled Receptors using TF-IDF and N-gram. IEEE Symposium on Computers and Communications (ISCC), Heraklion, Greece, 2017, pp.924-931.

Lei Cai, Jingyang Gao*. Concod: an effective integration framework of consensus-based calling deletions from next-generation sequencing data. International Journal of Data Mining and Bioinformatics (IJDMB), 2017, V17(2):153-172.

GUAN Rui,Jingyang Gao*. Machine-learning-aided precise prediction of deletions with next-generation sequencing. Journal of Central South University, 2016, 23(12):3239-3247.

Cheng Ling, et al. MrBayes tgMC3++: “a High Performance and Resource-Efficient GPU-oriented Phylogenetic Analysis Method”. IEEE/ACM Transactions on Computational Biology Bioinformatics (TCBB), 2016, 13(5):845-854.

Cheng Ling, et al. MrBayes 3.2.6 on Tianhe-1A: A High Performance and Distributed Implementation of Phylogenetic Analysis. IEEEInternational Conference on Parallel and Distributed Systems (ICPADS), Wuhan, China, 2016, pp.1181-1186.

Cheng Ling, et al. Phylogenetic Likelihood Estimation on GPUs Using Vertical Partitioning Scheme. IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA), Tianjin, China, 2016, pp.1210-1217.

Cheng Ling, et al. Optimizing the Bayesian Inference of Phylogeny on Graphic Processors.  IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID), 2015, 22(2):333-342.

Cheng Ling, et al. MrBayes tgMC3: A tight GPU implementation of MrBayes. PloS one, 2013, 8(4), e60667.