Search Results - "Yu, Xumin"

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  1. 1

    Hyperspectral Target Detection with an Auxiliary Generative Adversarial Network by Gao, Yanlong, Feng, Yan, Yu, Xumin

    Published in Remote sensing (Basel, Switzerland) (01-11-2021)
    “…In recent years, the deep neural network has shown a strong presence in classification tasks and its effectiveness has been well proved. However, the framework…”
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    Journal Article
  2. 2

    Design Method of Self-Driving RF-DC Rectifier Based on Waveform-Guided Solutions to Passive Matching Network by You, Fei, Dong, Shiwei, Wang, Ying, Yu, Xumin, Li, Chuan

    Published in IEEE transactions on power electronics (01-07-2019)
    “…The design of a self-driving RF-DC rectifier needs to synchronize the gate driving and RF power input. A waveform-based design method is proposed in this paper…”
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    Journal Article
  3. 3

    An improved method using adaptive smoothing for GNSS tomographic imaging of ionosphere by Jia, Rushang, Yu, Xumin, Xing, Jianping, Ning, Yafei, Sun, Hecheng

    Published in PloS one (07-05-2021)
    “…Global navigation satellite system (GNSS) is a well-established sensors in the recent ionosphere research. By comparing with classical meteorological…”
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    Journal Article
  4. 4

    Dual-Weighted Kernel Extreme Learning Machine for Hyperspectral Imagery Classification by Yu, Xumin, Feng, Yan, Gao, Yanlong, Jia, Yingbiao, Mei, Shaohui

    Published in Remote sensing (Basel, Switzerland) (01-02-2021)
    “…Due to its excellent performance in high-dimensional space, the kernel extreme learning machine has been widely used in pattern recognition and machine…”
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    Journal Article
  5. 5

    Learning fine-grained estimation of physiological states from coarse-grained labels by distribution restoration by Qin, Zengyi, Chen, Jiansheng, Jiang, Zhenyu, Yu, Xumin, Hu, Chunhua, Ma, Yu, Miao, Suhua, Zhou, Rongsong

    Published in Scientific reports (15-12-2020)
    “…Due to its importance in clinical science, the estimation of physiological states (e.g., the severity of pathological tremor) has aroused growing interest in…”
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    Journal Article
  6. 6

    The Ionosphere at Middle and Low Latitudes Under Geomagnetic Quiet Time of December 2019 by Kuai, Jiawei, Li, Qiaoling, Zhong, Jiahao, Zhou, Xu, Liu, Libo, Yoshikawa, Akimasa, Hu, Lianhuan, Xie, Haiyong, Huang, Chaoyan, Yu, Xumin, Wan, Xin, Cui, Jun

    “…The ionospheric electron density shows remarkable day‐to‐day variability due to solar radiance, geomagnetic activity and lower atmosphere forcing. In this…”
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    Journal Article
  7. 7

    Using WCS-FDTD Method to Study the Plasma Frequency Selective Surface by Chen, Juan, Tan, Jing, Yu, Xumin, Shi, Hongyu

    Published in IEEE access (2019)
    “…The plasma is very useful to design the dynamically tunable Frequency Selective Surface (FSS) because of its tunable property. But it is difficult to simulate…”
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    Journal Article
  8. 8

    A novel method of interference source direction-finding with an existing single antenna beam in communication satellites by Ma, Dingkun, Li, Hao, Wu, Ruixue, Li, Yinan, Lü, Rongchuan, Ma, Yan, Ding, Yi, Yang, Xiaojiao, Jiang, Tong, Yu, Xumin

    Published in Frontiers in physics (01-08-2023)
    “…Interference has recently become a critical factor in communication satellite performance, and the interference source location is one of the most important…”
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    Journal Article
  9. 9

    PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers by Yu, Xumin, Rao, Yongming, Wang, Ziyi, Liu, Zuyan, Lu, Jiwen, Zhou, Jie

    “…Point clouds captured in real-world applications are of-ten incomplete due to the limited sensor resolution, single viewpoint, and occlusion. Therefore,…”
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    Conference Proceeding
  10. 10

    Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling by Yu, Xumin, Tang, Lulu, Rao, Yongming, Huang, Tiejun, Zhou, Jie, Lu, Jiwen

    “…We present Point-BERT, a new paradigm for learning Transformers to generalize the concept of BERT [8] to 3D point cloud. Inspired by BERT, we devise a Masked…”
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    Conference Proceeding
  11. 11

    AdaPoinTr: Diverse Point Cloud Completion With Adaptive Geometry-Aware Transformers by Yu, Xumin, Rao, Yongming, Wang, Ziyi, Lu, Jiwen, Zhou, Jie

    “…Point clouds captured in real-world scenarios are often incomplete due to the limited sensor resolution, single viewpoint, and occlusion. Therefore, recovering…”
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    Journal Article
  12. 12

    Point-to-Pixel Prompting for Point Cloud Analysis With Pre-Trained Image Models by Wang, Ziyi, Rao, Yongming, Yu, Xumin, Zhou, Jie, Lu, Jiwen

    “…Nowadays, pre-training big models on large-scale datasets has achieved great success and dominated many downstream tasks in natural language processing and 2D…”
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    Journal Article
  13. 13

    Graph Interaction Networks for Relation Transfer in Human Activity Videos by Tang, Yansong, Wei, Yi, Yu, Xumin, Lu, Jiwen, Zhou, Jie

    “…Recent years have witnessed rapid progress in employing graph convolutional networks (GCNs) for various video analysis tasks where graph-based data abound…”
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    Journal Article
  14. 14

    Robust Signature-Based Hyperspectral Target Detection Using Dual Networks by Gao, Yanlong, Feng, Yan, Yu, Xumin, Mei, Shaohui

    Published in IEEE geoscience and remote sensing letters (01-01-2023)
    “…The training of deep networks for hyperspectral target detection is usually confronted with the problem of limited samples and in extreme cases, there might be…”
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    Journal Article
  15. 15

    Feature Extraction and Classification of Hyperspectral Images Using Hierarchical Network by Gao, Yanlong, Feng, Yan, Yu, Xumin

    Published in IEEE geoscience and remote sensing letters (01-02-2020)
    “…In recent years, researchers have frequently utilized convolutional neural networks (CNNs) to classify hyperspectral images and have, indeed, embraced exciting…”
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    Journal Article
  16. 16

    Group-aware Contrastive Regression for Action Quality Assessment by Yu, Xumin, Rao, Yongming, Zhao, Wenliang, Lu, Jiwen, Zhou, Jie

    “…Assessing action quality is challenging due to the subtle differences between videos and large variations in scores. Most existing approaches tackle this…”
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    Conference Proceeding
  17. 17

    Design of a single null compensation dipole antenna by Lu, Yi, Chen, Juan, Yu, Xumin

    “…In this paper, a single null compensation dipole antenna for Wi‐Fi band (2.4 GHz) is developed. The antenna is fed by the parallel transmission lines, and its…”
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    Journal Article
  18. 18

    Design of a Self-Driving Transistor-Based RF-DC Converter Based on Optimized Harmonic-Tuned Rectification Waveforms by You, Fei, Dong, Shi-Wei, Wang, Ying, Zhang, Shuo, Yu, Xumin, He, Songbai

    “…In order to apply the traditional power amplifier's (PA) waveform engineering in an RF-dc rectifier design, a piecewise ON-resistance transistor model is…”
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    Journal Article
  19. 19

    SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation by Wang, Ziyi, Rao, Yongming, Yu, Xumin, Zhou, Jie, Lu, Jiwen

    “…Conventional point cloud semantic segmentation methods usually employ an encoder-decoder architecture, where mid-level features are locally aggregated to…”
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    Conference Proceeding
  20. 20

    Vertical characterization on global ionospheric variations during the magnetic storm in September 2017 with hierarchical subtraction method by Song, Xin, Yang, Rong, Zhan, Xingqun, Fu, Naifeng, Yang, Zhe, Yu, Xumin

    Published in Advances in space research (01-02-2022)
    “…This study investigates the global ionospheric responses at different altitudes during the geomagnetic storm in September 2017 by using the observations from…”
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    Journal Article