Skip to main content

and
  1. No Access

    Chapter and Conference Paper

    CMed-Baichuan: Task Explanation-Enhanced Prompt Method on PromptCBLUE Benchmark

    Large Language Models (LLMs) have received widespread attention from academia and industry for their excellent performance on NLP tasks. Due to the knowledge-intensive nature of the medical field, previous stu...

    **nyuan Ren, Yilin Song, Chenwei Yan in Health Information Processing. Evaluation … (2024)

  2. No Access

    Chapter and Conference Paper

    Improving Out-of-Distribution Detection with Margin-Based Prototype Learning

    Deep Neural Networks often make overconfident predictions when encountering out-of-distribution (OOD) data. Previous prototype-based methods significantly improved OOD detection performance by optimizing the r...

    Junzhuo Liu, Yuanyuan Ren, Weiwei Li, Yuchen Zheng in Neural Information Processing (2024)

  3. No Access

    Chapter and Conference Paper

    Control of Pneumatic Artificial Muscles with SNN-based Cerebellar-Like Model

    Soft robotics technologies have gained growing interest in recent years, which allows various applications from manufacturing to human-robot interaction. Pneumatic artificial muscle (PAM), a typical soft actua...

    Hongbo Zhang, Yunshuang Li, Yipin Guo, **nyi Chen, Qinyuan Ren in Social Robotics (2021)

  4. No Access

    Chapter and Conference Paper

    Face Anti-spoofing with a Noise-Attention Network Using Color-Channel Difference Images

    The wide deployment of face recognition systems has raised serious concern on its security level. One of the most prominent threats is the presentation attack, which attempts to fool the system in the absence ...

    Yuanyuan Ren, Yongjian Hu, Beibei Liu in Artificial Neural Networks and Machine Lea… (2020)

  5. No Access

    Chapter and Conference Paper

    Crowd Density Estimation Based on the Improved Vibe Algorithm and a Noval Perspective Correction Method

    Unusual crowding is often associated with unusual events. Estimating population density is a good way to control management, maintain crowd safety, and prevent riots or high-risk activities. Therefore, in the ...

    Junhang Wu, Yuanyuan Ren, Tiaojun Zeng in Advances in Intelligent Systems and Intera… (2020)

  6. No Access

    Chapter and Conference Paper

    Simulation Research Based on Asynchronous Motor Vector Control Technology

    In order to improve the dynamic performance of the three-phase asynchronous motor open-loop control system, a current closed-loop vector control strategy is adopted. In the rotor flux-oriented control system, ...

    Panyuan Ren, Bulai Wang, **utao Ji in Proceedings of 2018 Chinese Intelligent Sy… (2019)

  7. No Access

    Chapter and Conference Paper

    Auxiliary Rotor Slot Optimization Design for Improving Back-EMF Waveform of PMSM Based on MagneForce

    As lots of harmonics are in the back-electromotive force (EMF) of Permanent Magnet Synchronous Motor (PMSM), an auxiliary rotor slot is presented to reduce the Total Harmonic Distortion (THD), to improve the w...

    Yuanyuan Yang, Bulai Wang, **utao Ji in Proceedings of 2018 Chinese Intelligent Sy… (2019)

  8. No Access

    Chapter and Conference Paper

    Driving Cycle Construction of **’an Bus Line Based on Cluster Analysis

    Vehicle driving cycle is widely used in automotive industry to test the performance of vehicles, which is an important reference for the design of vehicles. Based on the line intensity method, the sampling met...

    Yaohua Li, Zhongyu Li, Qizhi Gou in Proceedings of the 19th Asia Pacific Autom… (2019)

  9. No Access

    Chapter and Conference Paper

    Scheduling DAG Applications for Time Sharing Systems

    When computing the makespan of a DAG, it is typically assumed that the tasks scheduled on the same computing node run in sequence. In reality, however, the tasks may be run in the time sharing manner. Our stud...

    Shenyuan Ren, Ligang He, Junyu Li, Chao Chen in Algorithms and Architectures for Parallel … (2018)

  10. Chapter and Conference Paper

    vGrouper: Optimizing the Performance of Parallel Jobs in Xen by Increasing Synchronous Execution of Virtual Machines

    Xen is one of the most popular virtualization platforms nowadays, which has been broadly used by the industry. Credit scheduler, the default scheduler of Xen, was initially designed for serial jobs, which achi...

    Peng Jiang, Ligang He, Shenyuan Ren, Junyu Li, Yuhua Cui in Network and Parallel Computing (2018)

  11. Chapter and Conference Paper

    Data Fine-Pruning: A Simple Way to Accelerate Neural Network Training

    The training process of a neural network is the most time-consuming procedure before being deployed to applications. In this paper, we investigate the loss trend of the training data during the training proces...

    Junyu Li, Ligang He, Shenyuan Ren, Rui Mao in Network and Parallel Computing (2018)

  12. No Access

    Chapter and Conference Paper

    vPlacer: A Co-scheduler for Optimizing the Performance of Parallel Jobs in Xen

    Xen, a popular virtualization platform which enables multiple operating systems sharing one physical host, has been widely used in various fields nowadays. Currently, the existing schedulers of Xen are initial...

    Peng Jiang, Ligang He, Shenyuan Ren in Algorithms and Architectures for Parallel … (2018)

  13. No Access

    Chapter

    Epigenetic Regulation of Plant Heat Shock Protein (HSP) Gene Expression

    Heat shock proteins (HSPs) are the key components of plants’ adaptive mechanism to maintain protein homeostasis. HSPs play critical roles not only in response to unfavorable environmental conditions, but also ...

    Yuanyuan Ren, Yan Zhu in Heat Shock Proteins and Plants (2016)

  14. No Access

    Chapter and Conference Paper

    PEM4RFID: Privacy Enhancement Model for RFID Systems

    With the wider application of radio frequency identification (RFID) technology in various vital systems, more and more privacy threats and security flaws have been emerging. Traditional RFID systems only focus...

    Guangquan Xu, Yuanyuan Ren, Bin Liu in Algorithms and Architectures for Parallel … (2015)

  15. No Access

    Chapter and Conference Paper

    Manifold Learner Ensemble

    Manifold learning is proved to be an efficient tool for nonlinear dimensionality reduction. Various local and global learners have been proposed to successfully extract intrinsic geometry underlying high-dimen...

    Peng Zhang, Chunbo Fan, Yuanyuan Ren in Emerging Intelligent Computing Technology … (2013)

  16. No Access

    Chapter and Conference Paper

    Ridgelet Transform as a Feature Extraction Method in Remote Sensing Image Recognition

    Using ridgelet transform to do the feature extraction, and RBFNN to do the recognition and classification, a remote sensing image recognition method is put forward in this paper. We do mathematical implementat...

    Yuanyuan Ren, Shuang Wang, Shuyuan Yang, Licheng Jiao in Wavelet Analysis and Applications (2007)