Search Results - "Guoyang Chen"

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  1. 1

    The Amygdala in Schizophrenia and Bipolar Disorder: A Synthesis of Structural MRI, Diffusion Tensor Imaging, and Resting-State Functional Connectivity Findings by Ho, New Fei, Li Hui Chong, Pearlynne, Lee, Daryl Renick, Chew, Qian Hui, Chen, Guoyang, Sim, Kang

    Published in Harvard review of psychiatry (01-05-2019)
    “…Frequently implicated in psychotic spectrum disorders, the amygdala serves as an important hub for elucidating the convergent and divergent neural substrates…”
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    Journal Article
  2. 2

    Optimizing Data Placement on GPU Memory: A Portable Approach by Chen, Guoyang, Shen, Xipeng, Wu, Bo, Li, Dong

    Published in IEEE transactions on computers (01-03-2017)
    “…Modern GPUs feature complex memory system designs. One GPU may contain many types of memory of different properties. The best way to place data in memory is…”
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    Journal Article
  3. 3

    Free launch: Optimizing GPU dynamic kernel launches through thread reuse by Guoyang Chen, Xipeng Shen

    “…Supporting dynamic parallelism is important for GPU to benefit a broad range of applications. There are currently two fundamental ways for programs to exploit…”
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    Conference Proceeding
  4. 4

    Pseudotargeted Metabolomic Fingerprinting and Deep Learning for Identification and Visualization of Common Pathogens by Feng, Ying, Chen, Moutong, Wei, Xianhu, Zhu, Honghui, Zhang, Jumei, Zhang, Youxiong, Xue, Liang, Huang, Lanyan, Chen, Guoyang, Chen, Minling, Ding, Yu, Wu, Qingping

    Published in Frontiers in microbiology (10-03-2022)
    “…Matrix-assisted laser desorption/ionization time-of-flight mass (MALDI-TOF) spectrometry fingerprinting has reduced turnaround times, costs, and labor as…”
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    Journal Article
  5. 5

    PORPLE: An Extensible Optimizer for Portable Data Placement on GPU by Guoyang Chen, Bo Wu, Dong Li, Xipeng Shen

    “…GPU is often equipped with complex memory systems, including globalmemory, texture memory, shared memory, constant memory, and variouslevels of cache. Where to…”
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    Conference Proceeding
  6. 6

    Sweet KNN: An Efficient KNN on GPU through Reconciliation between Redundancy Removal and Regularity by Guoyang Chen, Yufei Ding, Xipeng Shen

    “…Finding the k nearest neighbors of a query point or a set of query points (KNN) is a fundamental problem in many application domains. It is expensive to do…”
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    Conference Proceeding
  7. 7

    Corticolimbic brain anomalies are associated with cognitive subtypes in psychosis: A longitudinal study by Ho, New Fei, Lee, Benjamin J H, Tng, Jordon X J, Lam, Max Z Y, Chen, Guoyang, Wang, Mingyuan, Zhou, Juan, Keefe, Richard S E, Sim, Kang

    Published in European psychiatry (27-04-2020)
    “…Earlier studies examining structural brain abnormalities associated with cognitively derived subgroups were mainly cross-sectional in design and had mixed…”
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    Journal Article
  8. 8

    Enabling Portable Optimizations of Data Placement on GPU by Chen, Guoyang, Wu, Bo, Li, Dong, Shen, Xipeng

    Published in IEEE MICRO (01-07-2015)
    “…Modern GPU memory systems manifest more varieties, increasing complexities, and rapid changes. Different placements of data on memory systems often cause…”
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    Journal Article
  9. 9

    SM-centric transformation: Circumventing hardware restrictions for flexible GPU scheduling by Bo Wu, Guoyang Chen, Dong Li, Xipeng Shen, Vetter, Jeffrey S.

    “…To circumvent the limitation from the hardware scheduler on GPU, we create an SM-centric transformation technique. This technique enables complete control of…”
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    Conference Proceeding
  10. 10

    Water-resistant bio-based vitrimers based on dynamic imine bonds: Self-healability, remodelability and ecofriendly recyclability by Liu, Xiaohong, Liang, Liyan, Lu, Maoping, Song, Xuan, Liu, Hehua, Chen, Guoyang

    Published in Polymer (Guilford) (01-12-2020)
    “…Vitrimers with dynamic imine bonds generally show low mechanical properties and water resistance. Here, we report a bio-based vitrimers with dynamic imine…”
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    Journal Article
  11. 11

    UNIFusion: A Lightweight Unified Image Fusion Network by Cheng, Chunyang, Wu, Xiao-Jun, Xu, Tianyang, Chen, Guoyang

    “…Advanced image fusion frameworks have focused on constructing a unified system to deliver general fusion solutions for all the potential subtasks, including…”
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    Journal Article
  12. 12

    Role identity of staff in Chinese volunteer tourism sending organisations by Chen, Guoyang, Smith, Karen, Schott, Christian

    “…Until the COVID-19 pandemic, the volunteer tourism sector had experienced sustained growth around the world, including in China where a dynamic volunteer…”
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    Journal Article
  13. 13

    The causal relationship between physical activity, sedentary behavior and brain cortical structure: a Mendelian randomization study by Sun, Yulin, Ma, Di, Jiang, Zhenping, Han, Qifeng, Liu, Yining, Chen, Guoyang

    Published in Cerebral cortex (New York, N.Y. 1991) (01-04-2024)
    “…Physical activity and sedentary behavior, both distinct lifestyle behaviors associated with brain health, have an unclear potential relationship with brain…”
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  14. 14

    The association between physical activity intensity and frailty risk among older adults across different age groups and genders: Evidence from four waves of the China Health and Retirement Longitudinal Survey by Ma, Di, Sun, Yulin, Chen, Guoyang, Hao, Siwei, Jiang, Zhenping, Wang, Rui, Hao, Shuaipeng

    Published in PloS one (11-06-2024)
    “…"Exercise is the best medicine" is well known, but the optimal dose of physical activity (PA) for males and females across different age groups is still…”
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    Journal Article
  15. 15

    iPIM: Programmable In-Memory Image Processing Accelerator Using Near-Bank Architecture by Gu, Peng, Xie, Xinfeng, Ding, Yufei, Chen, Guoyang, Zhang, Weifeng, Niu, Dimin, Xie, Yuan

    “…Image processing is becoming an increasingly important domain for many applications on workstations and the datacenter that require accelerators for high…”
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    Conference Proceeding
  16. 16
  17. 17

    GIM: Versatile GNN Acceleration with Reconfigurable Processing-in-Memory by Nie, Chen, Chen, Guoyang, Zhang, Weifeng, He, Zhezhi

    “…Recent boost of deep learning has revolutionized many machine learning tasks, including the graph neural networks (GNNs) that are specifically designed for…”
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    Conference Proceeding
  18. 18

    OpenCL-based erasure coding on heterogeneous architectures by Guoyang Chen, Huiyang Zhou, Xipeng Shen, Gahm, Josh, Venkat, Narayan, Booth, Skip, Marshall, John

    “…Erasure coding, Reed-Solomon coding in particular, is a key technique to deal with failures in scale-out storage systems. However, due to the algorithmic…”
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    Conference Proceeding
  19. 19

    Towards Execution-Efficient LSTMs via Hardware-Guided Grow-and-Prune Paradigm by Yin, Hongxu, Chen, Guoyang, Li, Yingmin, Che, Shuai, Zhang, Weifeng, Jha, Niraj K.

    “…Long short-term memory (LSTM) applications need fast yet compact models. Neural network compression approaches, e.g., the grow-and-prune paradigm, have proved…”
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    Journal Article
  20. 20

    Efficient support of position independence on non-volatile memory by Chen, Guoyang, Zhang, Lei, Budhiraja, Richa, Shen, Xipeng, Wu, Youfeng

    “…This paper explores solutions for enabling efficient supports of position independence of pointer-based data structures on byte-addressable None-Volatile…”
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    Conference Proceeding