Search Results - "Wen, Guangqi"

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  1. 1

    The effect of vanadium content on hierarchical martensite structure and yield strength of petroleum casing steels by Li, Huaying, Wen, Guangqi, Cai, Zhihui, Feng, Yi, Ma, Lifeng, Han, Akang, Zhang, Kaihua

    “…In the present study, the influence of V content and tempering temperature on the precipitation behavior of hierarchical martensite and yield strength of…”
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    Journal Article
  2. 2

    Exploring interpretable graph convolutional networks for autism spectrum disorder diagnosis by Li, Lanting, Wen, Guangqi, Cao, Peng, Liu, Xiaoli, R. Zaiane, Osmar, Yang, Jinzhu

    “…Purpose Finding the biomarkers associated with autism spectrum disorder (ASD) is helpful for understanding the underlying roots of the disorder and can lead to…”
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    Journal Article
  3. 3

    MVS-GCN: A prior brain structure learning-guided multi-view graph convolution network for autism spectrum disorder diagnosis by Wen, Guangqi, Cao, Peng, Bao, Huiwen, Yang, Wenju, Zheng, Tong, Zaiane, Osmar

    Published in Computers in biology and medicine (01-03-2022)
    “…Recently, functional brain networks (FBN) have been used for the classification of neurological disorders, such as Autism Spectrum Disorders (ASD)…”
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    Journal Article
  4. 4

    MS-SSD: multi-scale single shot detector for ship detection in remote sensing images by Wen, Guangqi, Cao, Peng, Wang, Haonan, Chen, Hanlin, Liu, Xiaoli, Xu, Jinghui, Zaiane, Osmar

    “…Object detection is a fundamental problem in computer vision. Although impressive results have been achieved on large/medium-sized objects, the detection…”
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    Journal Article
  5. 5

    TE-HI-GCN: An Ensemble of Transfer Hierarchical Graph Convolutional Networks for Disorder Diagnosis by Li, Lanting, Jiang, Hao, Wen, Guangqi, Cao, Peng, Xu, Mingyi, Liu, Xiaoli, Yang, Jinzhu, Zaiane, Osmar

    Published in Neuroinformatics (Totowa, N.J.) (01-04-2022)
    “…Accurate diagnosis of psychiatric disorders plays a critical role in improving the quality of life for patients and potentially supports the development of new…”
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    Journal Article
  6. 6

    Modeling the dynamic brain network representation for autism spectrum disorder diagnosis by Cao, Peng, Wen, Guangqi, Liu, Xiaoli, Yang, Jinzhu, Zaiane, Osmar R.

    “…The dynamic functional connectivity analysis provides valuable information for understanding functional brain activity underlying different cognitive…”
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    Journal Article
  7. 7

    Collaborative learning of graph generation, clustering and classification for brain networks diagnosis by Yang, Wenju, Wen, Guangqi, Cao, Peng, Yang, Jinzhu, Zaiane, Osmar R.

    “…•We develop a supervised multi-graph clustering for removing the noisy functional connections from the group level and identifying the critical graph…”
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    Journal Article
  8. 8

    BrainTGL: A dynamic graph representation learning model for brain network analysis by Liu, Lingwen, Wen, Guangqi, Cao, Peng, Hong, Tianshun, Yang, Jinzhu, Zhang, Xizhe, Zaiane, Osmar R.

    Published in Computers in biology and medicine (01-02-2023)
    “…Modeling the dynamics characteristics in functional brain networks (FBNs) is important for understanding the functional mechanism of the human brain. However,…”
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    Journal Article
  9. 9

    BrainDAS: Structure-aware domain adaptation network for multi-site brain network analysis by Song, Ruoxian, Cao, Peng, Wen, Guangqi, Zhao, Pengfei, Huang, Ziheng, Zhang, Xizhe, Yang, Jinzhu, Zaiane, Osmar R.

    Published in Medical image analysis (01-08-2024)
    “…In the medical field, datasets are mostly integrated across sites due to difficult data acquisition and insufficient data at a single site. The domain shift…”
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    Journal Article
  10. 10

    Graph Self-supervised Learning with Application to Brain Networks Analysis by Wen, Guangqi, Cao, Peng, Liu, Lingwen, Yang, Jinzhu, Zhang, Xizhe, Wang, Fei, Zaiane, Osmar R.

    “…The less training data and insufficient supervision limit the performance of the deep supervised models for brain disease diagnosis. It is significant to…”
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    Journal Article
  11. 11

    Exploring attention mechanism for graph similarity learning by Tan, Wenhui, Gao, Xin, Li, Yiyang, Wen, Guangqi, Cao, Peng, Yang, Jinzhu, Li, Weiping, Zaiane, Osmar R.

    Published in Knowledge-based systems (27-09-2023)
    “…Graph similarity estimation is a challenging task due to the complex graph structure. Though important and well-studied, three key aspects are yet to be fully…”
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    Journal Article
  12. 12

    A unified framework of graph structure learning, graph generation and classification for brain network analysis by Cao, Peng, Wen, Guangqi, Yang, Wenju, Liu, Xiaoli, Yang, Jinzhu, Zaiane, Osmar

    “…Recently, functional brain networks have been employed for classifying neurological disorders, such as autism spectrum disorders (ASDs). Graph convolutional…”
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    Journal Article
  13. 13

    The Influence of Cooling Rate on Austenite Stability and Mechanical Properties in an Austenite–Ferrite Medium-Mn Steel by Cai, Zhihui, Zhang, Deliang, Wen, Guangqi, Ma, Lifeng, Misra, R. D. K.

    “…The impact of cooling rate on austenite stability and mechanical properties of a cold-rolled transformation-induced plasticity (TRIP) steel with nominal…”
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    Journal Article
  14. 14

    Towards Disease-Aware Self-Supervised Dynamic Brain Network Learning For Mental Diagnosis by Jin, Zhiyong, Wen, Guangqi, Cao, Peng, Liu, Lingwen, Yang, Jinzhu, Zhu, Xinrong, Zaiane, Osmar R., Wang, Fei

    “…The dynamic brain network learning methods ignored the separation of redundant disease-irrelevant information, resulting in the model only achieving suboptimal…”
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    Conference Proceeding
  15. 15

    Temporal Graph Representation Learning for Autism spectrum disorder Brain Networks by Cao, Peng, Wen, Guangqi, Li, Lanting, Liu, Xiaoli, Yang, Jinzhu, Zaiane, Osmar

    “…Modeling spatio-temporal dynamics in functional brain networks is critical for underlying the functional mechanism of autism spectrum disorder (ASD). In our…”
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    Conference Proceeding