Xin Sun

Categorical quantum cryptography for access control in cloud computing

2017 · Soft Computing

Access control is a mechanism that is used to decide which agent has access to which resource with some specific operations. This paper is devoted to the investigation of quantum cryptography in access control. We …

Few-shot Learning for Domain-specific Fine-grained Image Classification

2019 · arXiv (Cornell University)

Learning to recognize novel visual categories from a few examples is a challenging task for machines in real-world industrial applications. In contrast, humans have the ability to discriminate even similar objects with little supervision. This …

Incorporating Hierarchy into Text Encoder: a Contrastive Learning Approach for Hierarchical Text Classification

2022 · arXiv (Cornell University)

Hierarchical text classification is a challenging subtask of multi-label classification due to its complex label hierarchy. Existing methods encode text and label hierarchy separately and mix their representations for classification, where the hierarchy remains unchanged …

Buffer Overflow Vulnerability Detection Based on Static Analysis-assisted Symbolic Execution

2023

Buffer overflow is a common exploitable high-risk vulnerability that can lead to arbitrary code execution, thus effective detection of buffer overflow vulnerability is of utmost importance for developers, enabling timely remendiation. Symbolic execution is a …

A Large Language Model Approach to Identify Flakiness in C++ Projects

2024 · arXiv (Cornell University)

The role of regression testing in software testing is crucial as it ensures that any new modifications do not disrupt the existing functionality and behaviour of the software system. The desired outcome is for regression …

Distributional Shortest-Path Graph Kernels

2025 · IEEE Transactions on Knowledge and Data Engineering

Traditional shortest-path graph kernels generate for each graph a histogram-like feature map, whose elements represent the number of occurrences of non-isomorphic shortest paths in this graph. The histogram-like feature map does not contain the distributions …

An Efficient and Privacy-Enhanced U-Shaped Split Federated Learning Method for Distributed Multi-Client Systems

2025

Machine learning (ML) plays a critical role in artificial intelligence (AI), particularly in image recognition tasks. Traditional ML relies on centralized model training, which requires substantial data transmission and storage, raising significant privacy concerns and …