Lin Shi
6 papers in the PaperMetrix corpus
Papers by this author
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A Deep Context-wise Method for Coreference Detection in Natural Language Requirements
2020
Requirements are usually written by different stakeholders with diverse backgrounds and skills and evolve continuously. Therefore inconsistency caused by specialized jargons and different domains, is inevitable. In particular, entity coreference in Requirement Engineering (RE) is …
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Learning to extract transaction function from requirements: an industrial case on financial software
2020
In practice, it is very important to determine the size of a proposed software system yet to be built based on its requirements, i.e., early in the development life cycle. The most widely used approach …
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Investigation and Improvement of Distributed Differential Evolution Algorithm Cloudde
2021
As a kind of new emerging optimization technology, distributed evolutionary computation (DEC) algorithms have fast developed in recent years. The DEC algorithms, which make use of multiple computers or resources to enhance the optimization capabilities …
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Defending Adversarial Attacks against DNN Image Classification Models by a Noise-Fusion Method
2022 · Electronics
Adversarial attacks deceive deep neural network models by adding imperceptibly small but well-designed attack data to the model input. Those attacks cause serious problems. Various defense methods have been provided to defend against those attacks …
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Knowledge Graph Double Interaction Graph Neural Network for Recommendation Algorithm
2022 · Applied Sciences
To solve the problem that recommendation algorithms based on knowledge graph ignore the information of the entity itself and the user information during information aggregating, we propose a double interaction graph neural network recommendation algorithm …
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Imperfect Code Generation: Uncovering Weaknesses in Automatic Code Generation by Large Language Models
2024
The task of code generation has received significant attention in recent years, especially when the pre-trained large language models (LLMs) for code have consistently achieved state-of-the-art performance. However, there is currently a lack of a …