Jun Yang

Design on Textbook Subscription System Based on JavaEE

2015

With the continuous expansion of universities and increase of school scale, workload of textbook management staff in college become more and more heavy. Using the traditional manual record has been unable to meet the demand, …

Analysis on Key Points of Quality Control of Waterproof Engineering in Residential Buildings

2019 · IOP Conference Series Earth and Environmental Science

Building waterproofing engineering mainly aims at roof waterproofing, basement waterproofing and floor waterproofing (toilet bathroom, kitchen) waterproofing, which is an important part of building waterproofing engineering. Therefore, on the basis of briefly expounding the importance …

Machine Learning Assisted Side-Channel-Attack Countermeasure and Its Application on a 28-nm AES Circuit

2019 · IEEE Journal of Solid-State Circuits

Hardware countermeasure of side channel attack (SCA) becomes necessary to protect crypto circuits. Many countermeasures endured large area and power consumption. We propose a SCA-resistant methodology based on machine learning, which compensates the Hamming distance …

Why Do Developers Remove Lambda Expressions in Java?

2021 · 2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE)

Java 8 has introduced lambda expressions, a core feature of functional programming. Since its introduction, there is an increasing trend of lambda adoptions in Java projects. Developers often adopt lambda expressions to simplify code, avoid …

An automated cloud detection method based on green channel of total sky visible images

2015

Abstract. Getting an accurate cloud cover state is a challenging task. In the past, traditional two-dimensional red-to-blue band methods have been widely used for cloud detection in total sky images. By analyzing the imaging principle …

Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox

2022 · arXiv (Cornell University)

With the breakthrough of AlphaGo, deep reinforcement learning becomes a recognized technique for solving sequential decision-making problems. Despite its reputation, data inefficiency caused by its trial and error learning mechanism makes deep reinforcement learning hard …

Principles and Practices of Real-Time Feature Computing Platforms for ML

2023 · Communications of the ACM

No abstract available.

Golgi

2023

This paper introduces Golgi, a novel scheduling system designed for serverless functions, with the goal of minimizing resource provisioning costs while meeting the function latency requirements. To achieve this, Golgi judiciously over-commits functions based on …

Enhancing Robustness and Interpretability in Transformer Networks through Fuzzification

2024

Transformer networks have shown good performance in multifaceted tasks such as natural language processing, but face challenges in terms of robustness and interpretability. This study proposes a Transformer Fuzzy Neural Network (TFNN) that integrates fuzzification …