Search Results - "Sun, Jieming"

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  1. 1

    Online Threshold Tracking in Cyber-Physical-Human Systems Based on Binary Observations by Sun, Jieming, Li, Lichun

    “…This paper addresses the online threshold tracking problem in Cyber-Physical-Human Systems (CPHS) based on binary-valued satisfactory signals from users. We…”
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    Journal Article
  2. 2

    Antitumor Activity of Cabazitaxel and MSC-TRAIL Derived Extracellular Vesicles in Drug-Resistant Oral Squamous Cell Carcinoma by Qiu, Yongle, Sun, Jieming, Qiu, Junping, Chen, Guoling, Wang, Xiao, Mu, Yaxu, Li, Kunshan, Wang, Wenjing

    Published in Cancer management and research (01-01-2020)
    “…TRAIL (tumor necrosis factor-related apoptosis-inducing ligand) can induce apoptosis in a variety of cancer cells. However, drug resistance of tumor and short…”
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    Journal Article
  3. 3

    Short-term dependency of a class of nonlinear continuous time dynamic systems by Sun, Jieming, Li, Lichun

    “…Dynamic systems usually have long-term dependency. Recent work, however, shows that the long-term memory models like recurrent neural networks and short-term…”
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    Journal Article
  4. 4

    Efficient Learning of the State in Dynamic Systems From Model-Based to Data-Based by Sun, Jieming

    Published 01-01-2023
    “…Understanding and predicting states in dynamic systems is a core challenge in many areas of study. This involves trying to estimate an evolving signal based on…”
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    Dissertation
  5. 5

    Online Threshold Tracking in Cyber-Physical-Human Systems Based on Binary Observations by Sun, Jieming, Li, Lichun

    Published in 2020 American Control Conference (ACC) (01-07-2020)
    “…In this paper, we address the online threshold tracking problem in Cyber-Physical-Human systems (CPHS) based on binary feedback signals from users. We model…”
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    Conference Proceeding
  6. 6

    Anti-obfuscation Android application similarity detection method based on API call by GU Jieming, SUN Bowen, LI Qi, GUO Yanhui, WU Peng

    Published in 网络与信息安全学报 (01-01-2018)
    “…The traditional Android application similarity detection methods have the problem of complex feature extraction and low detecting efficiency. Regarding the…”
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    Journal Article