Cheng Ling

According to our database1, Cheng Ling authored at least 20 papers between 2009 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2019
CnnSV-Typer: Calling of Structural Variation Genotype Based on CUDA Acceleration.
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. Topics in Appl. Earth Observ. and Remote Sensing, 2018

Deletion genotype calling on the basis of sequence visualisation and image classification.
IJDMB, 2018

GPU Parallelism of Phylogenetic Likelihood Estimates for Protein Data.
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
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 tgMC3++: A High Performance and Resource-Efficient GPU-Oriented Phylogenetic Analysis Method.
IEEE/ACM Trans. Comput. Biology Bioinform., 2016

Phylogenetic Likelihood Estimation on GPUs Using Vertical Partitioning Scheme.
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

Optimizing the Bayesian Inference of Phylogeny on Graphic Processors.
Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015

2012
High performance phylogenetic analysis on CUDA-compatible GPUs.
SIGARCH Computer Architecture News, 2012

High Performance Biological Pairwise Sequence Alignment: FPGA versus GPU versus Cell BE versus GPP.
Int. J. Reconfig. Comp., 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

Highly efficient mapping of the Smith-Waterman algorithm on CUDA-compatible GPUs.
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


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