Search Results - "Chen, Mengqiang"
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1
Fine Mapping Identifies SmFAS Encoding an Anthocyanidin Synthase as a Putative Candidate Gene for Flower Purple Color in Solanum melongena L
Published in International journal of molecular sciences (09-03-2018)“…Anthocyanins are the main pigments in flowers and fruits. These pigments are responsible for the red, red-purple, violet, and purple color in plants, and act…”
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Journal Article -
2
Whole Genome Sequencing and Morphological Trait-Based Evaluation of UPOV Option 2 for DUS Testing in Rice
Published in Frontiers in genetics (26-08-2022)“…To evaluate the application potential of high-density SNPs in rice distinctness, uniformity, and stability (DUS) testing, we screened 37,929 SNP loci…”
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Journal Article -
3
EGC: Entropy-based gradient compression for distributed deep learning
Published in Information sciences (16-02-2021)“…•Entropy based gradient compression mechanism for distributed training.•New distributed training algorithms for deep neural network training.•Experiments to…”
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Journal Article -
4
Separation of hematite and quartz in a cationic collector flotation system using Pullulan as a greener depressant
Published in Journal of molecular liquids (15-09-2024)“…•Pullulan was a green and efficient depressant of hematite in DDA reverse flotation.•Pullulan could enhance the hydrophilicity of the hematite…”
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Journal Article -
5
Identification of novel genes that regulate androgen receptor signaling and growth of androgen-deprived prostate cancer cells
Published in Oncotarget (30-05-2015)“…Prostate cancer progression to castration refractory disease is associated with anomalous transcriptional activity of the androgen receptor (AR) in an…”
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Journal Article -
6
Standard Deviation Based Adaptive Gradient Compression For Distributed Deep Learning
Published in 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID) (01-05-2020)“…Distributed deep learning has been proposed to train large scale neural network models with huge amounts of datasets using multiple workers. Since workers need…”
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Conference Proceeding -
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Entropy-Based Gradient Compression for Distributed Deep Learning
Published in 2019 IEEE 21st International Conference on High Performance Computing and Communications; IEEE 17th International Conference on Smart City; IEEE 5th International Conference on Data Science and Systems (HPCC/SmartCity/DSS) (01-08-2019)“…Nowadays, with the increasing amount of data and scale of network models, distributed deep learning, i.e., training a deep neural network using multiple…”
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Conference Proceeding