Search Results - "Su, Yueming"

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  1. 1

    A liquid-crystal-based immunosensor for the detection of cardiac troponin I by Xia, Chunli, Zhou, Dong, Su, Yueming, Zhou, Guangkai, Yao, Lishuang, Sun, Weimin, Liu, Yongjun

    Published in Analyst (London) (07-07-2020)
    “…Cardiac troponin I (cTnI) is one of the most sensitive and specific markers of myocardial cell injury, which can detect even minor myocardial damages. It is…”
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    Journal Article
  2. 2

    Supervised dual tight frame learning with deep thresholding network for phase retrieval by Shi, Baoshun, Lian, Qiusheng, Su, Yueming

    Published in IET image processing (01-08-2022)
    “…Data‐driven tight frames are popular for solving imaging inverse problems. However, the imaging quality is limited by the representation ability of single…”
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    Journal Article
  3. 3

    Dual-Prior Integrated Image Reconstruction for Quanta Image Sensors Using Multi-Agent Consensus Equilibrium by Zhang, Dan, Lian, Qiusheng, Su, Yueming, Ren, Tengfei

    Published in IEEE/CAA journal of automatica sinica (01-06-2023)
    “…Quanta image sensors (QIS) are a new type of single-photon imaging device that can oversample the light field to generate binary bit-streams. The…”
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    Journal Article
  4. 4

    iPiano-Net: Nonconvex optimization inspired multi-scale reconstruction network for compressed sensing by Su, Yueming, Lian, Qiusheng

    Published in Signal processing. Image communication (01-11-2020)
    “…Compressed sensing (CS) aims to precisely reconstruct the original signal from under-sampled measurements, which is a typical ill-posed problem. Solving such a…”
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    Journal Article
  5. 5

    Provable deep video denoiser using spatial–temporal information for video snapshot compressive imaging: Algorithm and convergence analysis by Shi, Baoshun, Li, Dan, Wang, Yuxin, Su, Yueming, Lian, Qiusheng

    Published in Signal processing (01-01-2024)
    “…Video snapshot compressive imaging (SCI) is a new compressive imaging system that aims to recover multiple video frames from a single measurement. Recent…”
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    Journal Article
  6. 6

    LG-Net: Local and global complementary priors induced multi-stage progressive network for compressed sensing by Lian, Qiusheng, Su, Yueming, Shi, Baoshun, Zhang, Dan

    Published in Signal processing (01-01-2023)
    “…•A novel optimization model is formulated to characterize intrinsic local and global complementary priors simultaneously.•A model-driven and deep prior induced…”
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    Journal Article
  7. 7

    Transformer based Douglas-Rachford unrolling network for compressed sensing by Su, Yueming, Lian, Qiusheng, Zhang, Dan, Shi, Baoshun

    Published in Signal processing. Image communication (01-09-2024)
    “…Compressed sensing (CS) with the binary sampling matrix is hardware-friendly and memory-saving in the signal processing field. Existing Convolutional Neural…”
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    Journal Article
  8. 8

    A deep unrolling network inspired by total variation for compressed sensing MRI by Zhang, Xiaohua, Lian, Qiusheng, Yang, Yuchi, Su, Yueming

    Published in Digital signal processing (01-12-2020)
    “…Compressed Sensing theory breaks through the limitation of the Nyquist sampling law and provides theoretical support for accelerating the imaging process of…”
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    Journal Article
  9. 9

    Bayesian self-supervised learning allying with Transformer powered compressed sensing imaging by Su, Yueming, Yang, Yongli, Shi, Baoshun, Zhang, Yuwei

    Published in Digital signal processing (01-08-2023)
    “…Deep learning based compressed sensing imaging algorithms usually adopt supervised learning mechanism, which generally require massive high-quality images…”
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    Journal Article
  10. 10

    Optical Fiber Sensor for Determination of Methanol Ratio in Methanol-Doped Ethanol Based on Two Cholesteric Liquid Crystal Droplets Embedded in Chitosan by Su, Yueming, Lan, Zeqing, Wang, Jiaming, Zeng, Li, Zhou, Dong, Peng, Zenghui, Sun, Weimin, Liu, Yongjun

    Published in Journal of lightwave technology (01-08-2021)
    “…In this paper, an optical fiber sensor based on cholesteric liquid crystal (CLC) is designed to detect the proportion and concentration of methanol and ethanol…”
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    Journal Article
  11. 11

    DeepCDL-PR: Deep unfolded convolutional dictionary learning with weighted ℓ1-norm for phase retrieval by Shi, BaoShun, Gao, YaTing, Su, YueMing, Lian, QiuSheng

    Published in Digital signal processing (01-05-2023)
    “…Phase retrieval (PR) aims to recover the image of interest from the recorded phaseless measurement. Traditional PR algorithms that use hand-crafted priors…”
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    Journal Article
  12. 12

    A new bit-rate control scheme in Basic Unit layer on H.264 by Shuguang Su, Yueming Su

    “…The paper focuses on rate-control scheme for H.264 and proposes an improved scheme on Basic-Unit layer, which consists of two steps. Firstly, the new scheme…”
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    Conference Proceeding
  13. 13

    An inter block mode decision method based on gradient and RDO by Shuguang Su, Yueming Su

    “…This paper proposes a novel method of Inter-block mode decision based on gradient and RDO (Rate Distortion Optimizing) in H.264. The new method eliminates some…”
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    Conference Proceeding
  14. 14

    A Simplified and Fast Fully Scalable Video Coding Scheme with Hierarchical-B-Picture-Like and DWT by Shuguang Su, Yueming Su

    “…The paper proposes a simplified and fast fully scalable video coding (SVC) scheme for video communication over error prone channels and surveillance systems,…”
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    Conference Proceeding
  15. 15

    A Practical Coder of Fully Scalable Video over Error-Prone Network by Shuguang Su, Yueming Su

    “…The paper is mainly devoted to explore practical scalable video coding technologies over error-prone wireless and mobile network with fluctuant bandwidth and…”
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    Conference Proceeding
  16. 16

    An implement strategy of context-based adaptive binary arithmetic coding in H.264 by Shuguang Su, Yueming Su, Zhen Xiong

    “…The paper studied mainly the context-based adaptive binary arithmetic coding (CABAC) and its concerned implement strategies in the h.264. The improved CABAC…”
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    Conference Proceeding