Search Results - "Zhang, Bingjing"

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  1. 1

    Giant and anisotropic many-body spin–orbit tunability in a strongly correlated kagome magnet by Yin, Jia-Xin, Zhang, Songtian S., Li, Hang, Jiang, Kun, Chang, Guoqing, Zhang, Bingjing, Lian, Biao, Xiang, Cheng, Belopolski, Ilya, Zheng, Hao, Cochran, Tyler A., Xu, Su-Yang, Bian, Guang, Liu, Kai, Chang, Tay-Rong, Lin, Hsin, Lu, Zhong-Yi, Wang, Ziqiang, Jia, Shuang, Wang, Wenhong, Hasan, M. Zahid

    Published in Nature (London) (01-10-2018)
    “…Owing to the unusual geometry of kagome lattices—lattices made of corner-sharing triangles—their electrons are useful for studying the physics of frustrated,…”
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    Journal Article
  2. 2

    Transplantation of Human Placenta-Derived Mesenchymal Stem Cells Alleviates Critical Limb Ischemia in Diabetic Nude Rats by Liang, Lu, Li, Zongjin, Ma, Tao, Han, Zhibo, Du, Wenjing, Geng, Jie, Jia, Honghong, Zhao, Meng, Wang, Jimin, Zhang, Bingjing, Feng, Jie, Zhao, Lanzhen, Rupin, Alain, Wang, Youwei, Han, Zhong Chao

    Published in Cell transplantation (01-01-2017)
    “…Neovasculogenesis induced by stem cell therapy is an innovative approach to improve critical limb ischemia (CLI) in diabetes. Mesenchymal stem cells (MSCs) are…”
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    Journal Article
  3. 3

    Determining a suitable carbon source for the production of intracellular pigments from Monascus purpureus HBSD 08 by Huawei, Zeng, Chengtao, Wang, Jie, Qiao, Bingjing, Zhang, Bing, Zhao, Chuangyun, Dai

    Published in Pigment & resin technology (04-11-2019)
    “…Purpose The Monascus pigment has been widely applied in the food processing industry as a functional additive. Lovastatin and polysaccharides are two important…”
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    Journal Article
  4. 4

    Physiological and Molecular Changes of Detached Wheat Leaves in Responding to Various Treatments by Zhao, Lifeng, Zhang, Haoshan, Zhang, Bingjing, Bai, Xiaojuan, Zhou, Chunjiang

    Published in Journal of integrative plant biology (01-08-2012)
    “…Leaf senescence is induced or accelerated when leaves are detached. However, the senescence process and expression pattern of senescence-associated genes…”
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    Journal Article
  5. 5

    A Review of Electrochemical Electrodes and Readout Interface Designs for Biosensors by Ma, Yuan, Deng, Yuping, Xie, Chao, Zhang, Bingjing, Shen, Boyu, Zhang, Milin, Yin, Lan, Liu, Xilin, van der Spiegel, Jan

    “…Electrochemical detection is widely used in biosensing fields, such as medical diagnosis and health monitoring due to its real-time response and high accuracy…”
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    Journal Article
  6. 6

    Hybrid cloud and cluster computing paradigms for life science applications by Qiu, Judy, Ekanayake, Jaliya, Gunarathne, Thilina, Choi, Jong Youl, Bae, Seung-Hee, Li, Hui, Zhang, Bingjing, Wu, Tak-Lon, Ruan, Yang, Ekanayake, Saliya, Hughes, Adam, Fox, Geoffrey

    Published in BMC bioinformatics (21-12-2010)
    “…Clouds and MapReduce have shown themselves to be a broadly useful approach to scientific computing especially for parallel data intensive applications. However…”
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    Journal Article
  7. 7

    Effects of BMP-2 Patterns on Bovine Chondrocytes Adhesion and Alignment by Pan, Changjiang, Zhang, Bingbing, Zhang, Man, Dong, Yunxiao, Ding, Hongyan

    “…Striped bone morphogenetic protein-2 (BMP-2) patterns are created on polystyrene (PS) surfaces by microcontact printing (μCP) to investigate the influences of…”
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    Journal Article
  8. 8

    A Collective Communication Layer for the Software Stack of Big Data Analytics by Bingjing Zhang

    “…The landscape of distributed computing is rapidly evolving, with computers exhibiting increasing processing capabilities with many-core architectures. Almost…”
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    Conference Proceeding
  9. 9

    Harp: Collective Communication on Hadoop by Bingjing Zhang, Yang Ruan, Qiu, Judy

    “…Big data processing tools have evolved rapidly in recent years. MapReduce has proven very successful but is not optimized for many important analytics,…”
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    Conference Proceeding
  10. 10

    Benchmarking Harp-DAAL: High Performance Hadoop on KNL Clusters by Langshi Chen, Bo Peng, Bingjing Zhang, Liu, Tony, Yiming Zou, Lei Jiang, Henschel, Robert, Stewart, Craig, Zhang Zhang, McCallum, Emily, Tom, Zahniser, Jon, Omer, Qiu, Judy

    “…Data analytics is undergoing a revolution in many scientific domains, and demands cost-effective parallel data analysis techniques. Traditional Java-based Big…”
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    Conference Proceeding
  11. 11

    HarpLDA+: Optimizing latent dirichlet allocation for parallel efficiency by Bo Peng, Bingjing Zhang, Langshi Chen, Avram, Mihai, Henschel, Robert, Stewart, Craig, Shaojuan Zhu, Mccallum, Emily, Smith, Lisa, Zahniser, Tom, Omer, Jon, Qiu, Judy

    “…Latent Dirichlet Allocation (LDA) is a widely used machine learning technique in topic modeling and data analysis. Training large LDA models on big datasets…”
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    Conference Proceeding
  12. 12

    Scalable parallel computing on clouds using Twister4Azure iterative MapReduce by Gunarathne, Thilina, Zhang, Bingjing, Wu, Tak-Lon, Qiu, Judy

    Published in Future generation computer systems (01-06-2013)
    “…Recent advances in data-intensive computing for science discovery are fueling a dramatic growth in the use of data-intensive iterative computations. The…”
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    Journal Article
  13. 13

    Study on the Natural Mineral Water Resource Bearing Capacity and its Driving Factors in Fusong County, Changbai Mountain Area, Jilin Province of China by Jianmin Bian, Sun, Xiaoqing, Zhang, Bingjing, Zhang, Zhenzhen, Ding, Fei, Wang, Yu

    Published in Water resources (01-05-2019)
    “…In order to maintain the sustainable exploitation of the natural mineral water resources in Changbai Mountain Area with the continuously increasing…”
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    Journal Article
  14. 14

    Portable Parallel Programming on Cloud and HPC: Scientific Applications of Twister4Azure by Gunarathne, T., Bingjing Zhang, Tak-Lon Wu, Qiu, J.

    “…Recent advancements in data intensive computing for science discovery are fueling a dramatic growth in use of data-intensive iterative computations. The…”
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    Conference Proceeding
  15. 15

    Applying Twister to Scientific Applications by Bingjing Zhang, Yang Ruan, Tak-Lon Wu, Qiu, Judy, Hughes, Adam, Fox, Geoffrey

    “…Many scientific applications suffer from the lack of a unified approach to support the management and efficient processing of large-scale data. The Twister…”
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    Conference Proceeding
  16. 16

    Harp: A Machine Learning Framework on Top of the Collective Communication Layer for the Big Data Software Stack by Zhang, Bingjing

    Published 2017
    “…Almost every field of science is now undergoing a data-driven revolution requiring analyzing massive datasets. Machine learning algorithms are widely used to…”
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    Dissertation
  17. 17

    Physiological and Molecular Changes of Detached Wheat Leaves in Responding to Various Treatments F by Zhao, Lifeng, Zhang, Haoshan, Zhang, Bingjing, Bai, Xiaojuan, Zhou, Chunjiang

    Published in Journal of integrative plant biology (01-08-2012)
    “…Abstract Leaf senescence is induced or accelerated when leaves are detached. However, the senescence process and expression pattern of senescence‐associated…”
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    Journal Article
  18. 18

    Physiological and Molecular Changes of Detached Wheat Leaves in Responding to Various TreatmentsF by Zhao, Lifeng, Zhang, Haoshan, Zhang, Bingjing, Bai, Xiaojuan, Zhou, Chunjiang

    Published in Journal of integrative plant biology (01-08-2012)
    “…Leaf senescence is induced or accelerated when leaves are detached. However, the senescence process and expression pattern of senescence‐associated genes…”
    Get full text
    Journal Article
  19. 19

    Fault Tolerance in Iterative-Convergent Machine Learning by Qiao, Aurick, Aragam, Bryon, Zhang, Bingjing, Xing, Eric P

    Published 16-10-2018
    “…Machine learning (ML) training algorithms often possess an inherent self-correcting behavior due to their iterative-convergent nature. Recent systems exploit…”
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    Journal Article
  20. 20

    A Hybrid Supervised-unsupervised Method on Image Topic Visualization with Convolutional Neural Network and LDA by Zhen, Kai, Birla, Mridul, Crandall, David, Zhang, Bingjing, Qiu, Judy

    Published 15-03-2017
    “…Given the progress in image recognition with recent data driven paradigms, it's still expensive to manually label a large training data to fit a convolutional…”
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    Journal Article