9 Result(s)
within
Chapter
**nyuan Ren
Computer Science
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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...
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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...
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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...
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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 ...
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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...
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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...
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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...
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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...
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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...
