Cheng Ling

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 22

Top Topics

Vertical Partitioning

Bayesian Inference

Top Venues

HPCC/SmartCity/DSS

Publications

Bowen Zheng, Zihan Lin, Enze Liu, Chen Yang, Enyang Bai, Cheng Ling, Wayne Xin Zhao, Ji-Rong Wen
A Large Language Model Enhanced Sequential Recommender for Joint Video and Comment Recommendation. CoRR (2024)
Nian Li, Xin Ban, Cheng Ling, Chen Gao, Lantao Hu, Peng Jiang, Kun Gai, Yong Li, Qingmin Liao
Modeling User Fatigue for Sequential Recommendation. SIGIR (2024)
Nian Li, Xin Ban, Cheng Ling, Chen Gao, Lantao Hu, Peng Jiang, Kun Gai, Yong Li, Qingmin Liao
Modeling User Fatigue for Sequential Recommendation. CoRR (2024)
Ruobing Xie, Cheng Ling, Shaoliang Zhang, Feng Xia, Leyu Lin
Multi-granularity Fatigue in Recommendation. CIKM (2022)
Ruofei Bai, Cheng Ling, Lei Cai, Jingyang Gao
Cnngeno: A high-precision deep learning based strategy for the calling of structural variation genotype. Comput. Biol. Chem. 94 (2021)
Guangren Cai, Gang Lu, Junxia Guo, Cheng Ling, Ruiqi Li
Fast Representative Sampling in Large-Scale Online Social Networks. IEEE Access 8 (2020)
Mingyan Li, Cheng Ling
The Likelihood Prediction of Phylogenetic Trees based on Artificial Neural Network: a new perspective and preliminary attempt. BIBM (2020)
Cheng Ling, Wenhao Cheng, Haoyu Zhang, Hanhao Zhu, Hua Zhang
Deep Neighbor Information Learning From Evolution Trees for Phylogenetic Likelihood Estimates. IEEE Access 8 (2020)
Cheng Ling, Yitian Shen, Jingyang Gao
A novel synonymous processing method based on amino acid substitution matrics for the classification of G-protein-coupled receptors. BIBM (2020)
Ruobing Xie, Cheng Ling, Yalong Wang, Rui Wang, Feng Xia, Leyu Lin
Deep Feedback Network for Recommendation. IJCAI (2020)
Ruofei Bai, Liwei Gao, Cheng Ling, Jingyang Gao
CnnSV-Typer: Calling of Structural Variation Genotype Based on CUDA Acceleration. HPCC/SmartCity/DSS (2019)
Xiurui Geng, Weitun Yang, Luyan Ji, Cheng Ling, Suixin Yang
A Piecewise Linear Strategy of Target Detection for Multispectral/Hyperspectral Image. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11 (3) (2018)
Jing Wang, Jing-Yang Gao, Cheng Ling
Deletion genotype calling on the basis of sequence visualisation and image classification. Int. J. Data Min. Bioinform. 20 (2) (2018)
Miaosen Ding, Jing-Yang Gao, Cheng Ling, Liwei Gao
cnnCNV: A Sensitive and Efficient Method for Detecting Copy Number Variation based on Convolutional Neural Networks. BIBM (2018)
Cheng Ling, Lin Yue, Jing-Yang Gao
Classification of G-protein Coupled Receptors Based on Semi-navïe Bayesian Inference. BIBM (2018)
Yichan Li, Jing-Yang Gao, Cheng Ling, Haoyu Zhang
GPU Parallelism of Phylogenetic Likelihood Estimates for Protein Data. HPCC/SmartCity/DSS (2018)
Xiaodong Zhang, Cheng Ling, Jingyang Gao
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 44 (1) (2017)
Man Li, Cheng Ling, Jing-Yang Gao
An efficient CNN-based classification on G-protein Coupled Receptors using TF-IDF and N-gram. ISCC (2017)
Cheng Ling, Jing-Yang Gao, Gang Lu
Phylogenetic Likelihood Estimation on GPUs Using Vertical Partitioning Scheme. Trustcom/BigDataSE/ISPA (2016)
Jing Wang, Cheng Ling, Jing-Yang Gao
A high-precision shallow Convolutional Neural Network based strategy for the detection of Genomic Deletions. BIBM (2016)
Cheng Ling, Tsuyoshi Hamada, Jing-Yang Gao, Guoguang Zhao, Donghong Sun, Weifeng Shi
++: A High Performance and Resource-Efficient GPU-Oriented Phylogenetic Analysis Method. IEEE ACM Trans. Comput. Biol. Bioinform. 13 (5) (2016)
Cheng Ling, Arong Luo, Jing-Yang Gao
MrBayes 3.2.6 on Tianhe-1A: A High Performance and Distributed Implementation of Phylogenetic Analysis. ICPADS (2016)
Guoguang Zhao, Cheng Ling, Donghong Sun
SparkSW: Scalable Distributed Computing System for Large-Scale Biological Sequence Alignment. CCGRID (2015)
Cheng Ling, Chunbao Zhou, Arong Luo, Guoguang Zhao, Tsuyoshi Hamada, Xiaoyan Zhu
Optimizing the Bayesian Inference of Phylogeny on Graphic Processors. CCGRID (2015)
Khaled Benkrid, Ali Akoglu, Cheng Ling, Yang Song, Ying Liu, Xiang Tian
High Performance Biological Pairwise Sequence Alignment: FPGA versus GPU versus Cell BE versus GPP. Int. J. Reconfigurable Comput. 2012 (2012)
Cheng Ling, Khaled Benkrid, Tsuyoshi Hamada
High performance phylogenetic analysis on CUDA-compatible GPUs. SIGARCH Comput. Archit. News 40 (5) (2012)
Mohd Nazrin Md. Isa, Khaled Benkrid, Thomas Clayton, Cheng Ling, Ahmet T. Erdogan
An FPGA-based parameterised and scalable optimal solutions for pairwise biological sequence analysis. AHS (2011)
Cheng Ling, Khaled Benkrid, Ahmet T. Erdogan
High performance Intra-task parallelization of Multiple Sequence Alignments on CUDA-compatible GPUs. AHS (2011)
Keisuke Dohi, Khaled Benkrid, Cheng Ling, Tsuyoshi Hamada, Yuichiro Shibata
Highly efficient mapping of the Smith-Waterman algorithm on CUDA-compatible GPUs. ASAP (2010)
Cheng Ling, Khaled Benkrid
Design and implementation of a CUDA-compatible GPU-based core for gapped BLAST algorithm. ICCS (1) (2010)
Cheng Ling, Khaled Benkrid, Tsuyoshi Hamada
A parameterisable and scalable Smith-Waterman algorithm implementation on CUDA-compatible GPUs. SASP (2009)