Cheng Ling
Orcid: 0009-0007-7513-8767
According to our database1,
Cheng Ling
authored at least 31 papers
between 2009 and 2024.
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Bibliography
2024
A Large Language Model Enhanced Sequential Recommender for Joint Video and Comment Recommendation.
CoRR, 2024
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
2021
Cnngeno: A high-precision deep learning based strategy for the calling of structural variation genotype.
Comput. Biol. Chem., 2021
2020
Deep Neighbor Information Learning From Evolution Trees for Phylogenetic Likelihood Estimates.
IEEE Access, 2020
IEEE Access, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
A novel synonymous processing method based on amino acid substitution matrics for the classification of G-protein-coupled receptors.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
The Likelihood Prediction of Phylogenetic Trees based on Artificial Neural Network: a new perspective and preliminary attempt.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019
2018
A Piecewise Linear Strategy of Target Detection for Multispectral/Hyperspectral Image.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018
Deletion genotype calling on the basis of sequence visualisation and image classification.
Int. J. Data Min. Bioinform., 2018
Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018
Classification of G-protein Coupled Receptors Based on Semi-navïe Bayesian Inference.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
cnnCNV: A Sensitive and Efficient Method for Detecting Copy Number Variation based on Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
基于特征挖掘的基因组缺失变异集成检测方法 (Integrated Feature Mining Based Approach for Calling Genomic Deletions).
计算机科学, 2017
An efficient CNN-based classification on G-protein Coupled Receptors using TF-IDF and N-gram.
Proceedings of the 2017 IEEE Symposium on Computers and Communications, 2017
2016
MrBayes tgMC<sup>3</sup>++: A High Performance and Resource-Efficient GPU-Oriented Phylogenetic Analysis Method.
IEEE ACM Trans. Comput. Biol. Bioinform., 2016
Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016
MrBayes 3.2.6 on Tianhe-1A: A High Performance and Distributed Implementation of Phylogenetic Analysis.
Proceedings of the 22nd IEEE International Conference on Parallel and Distributed Systems, 2016
A high-precision shallow Convolutional Neural Network based strategy for the detection of Genomic Deletions.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
2015
SparkSW: Scalable Distributed Computing System for Large-Scale Biological Sequence Alignment.
Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015
Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015
2012
SIGARCH Comput. Archit. News, 2012
High Performance Biological Pairwise Sequence Alignment: FPGA versus GPU versus Cell BE versus GPP.
Int. J. Reconfigurable Comput., 2012
2011
High performance Intra-task parallelization of Multiple Sequence Alignments on CUDA-compatible GPUs.
Proceedings of the 2011 NASA/ESA Conference on Adaptive Hardware and Systems, 2011
An FPGA-based parameterised and scalable optimal solutions for pairwise biological sequence analysis.
Proceedings of the 2011 NASA/ESA Conference on Adaptive Hardware and Systems, 2011
2010
Design and implementation of a CUDA-compatible GPU-based core for gapped BLAST algorithm.
Proceedings of the International Conference on Computational Science, 2010
Proceedings of the 21st IEEE International Conference on Application-specific Systems Architectures and Processors, 2010
2009
A parameterisable and scalable Smith-Waterman algorithm implementation on CUDA-compatible GPUs.
Proceedings of the IEEE 7th Symposium on Application Specific Processors, 2009