Xiwei Xu

Data Security Scheme for a Trusted Third Party Platform Based on RSA One-time Key

2019 · IOP Conference Series Earth and Environmental Science

In recent years, the possibility that cloud data is accessed illegally and the key is cracked in the process of storage is becoming increasingly. The paper proposes a data security scheme of a trusted third …

A Landscape of Cryptocurrencies

2019

Although cryptocurrencies have attracted a large amount of users and investors and there has been various researches in the area of distributed ledger technology (DLT), there is little work on cryptocurrency studies. Given the rapidly …

Patterns for Blockchain-Based Payment Applications

2021 · arXiv (Cornell University)

As the killer application of blockchain technology, blockchain-based payments have attracted extensive attention ranging from hobbyists to corporates to regulatory bodies. Blockchain facilitates fast, secure, and cross-border payments without the need for intermediaries such as …

A Taxonomy of Foundation Model based Systems through the Lens of Software Architecture

2023 · arXiv (Cornell University)

The recent release of large language model (LLM) based chatbots, such as ChatGPT, has attracted huge interest in foundation models. It is widely believed that foundation models will serve as the fundamental building blocks for …

Still Confusing for Bug-Component Triaging? Deep Feature Learning and Ensemble Setting to Rescue

2023

To speed up the bug-fixing process, it is essential to triage bugs into the right components as soon as possible. Given the large number of bugs filed everyday, a reliable and effective bug-component triaging tool …

Let's Discover More API Relations: A Large Language Model-based AI Chain for Unsupervised API Relation Inference

2023 · arXiv (Cornell University)

APIs have intricate relations that can be described in text and represented as knowledge graphs to aid software engineering tasks. Existing relation extraction methods have limitations, such as limited API text corpus and affected by …

On LLM-Enhanced Mixed-Type Data Imputation with High-Order Message Passing

2025 · Proceedings of the VLDB Endowment

Missing data imputation, which aims to impute the missing values in the raw datasets, is crucial for modern data-driven models like large language models (LLMs). Despite its importance, existing solutions either 1) only support numerical …

Unlocking Multi-Modal Potentials for Link Prediction on Dynamic Text-Attributed Graphs

2025 · arXiv (Cornell University)

Dynamic Text-Attributed Graphs (DyTAGs) are a novel graph paradigm that captures evolving temporal events (edges) alongside rich textual attributes. Existing studies can be broadly categorized into TGNN-driven and LLM-driven approaches, both of which encode textual …

Causal Prompting for Implicit Sentiment Analysis with Large Language Models

2025 · arXiv (Cornell University)

Implicit Sentiment Analysis (ISA) aims to infer sentiment that is implied rather than explicitly stated, requiring models to perform deeper reasoning over subtle contextual cues. While recent prompting-based methods using Large Language Models (LLMs) have …

Foundation Models for Anomaly Detection: Vision and Challenges

2025 · AI Magazine

Abstract As data continues to grow in volume and complexity across domains such as finance, manufacturing, and healthcare, effective anomaly detection is essential for identifying irregular patterns that may signal critical issues. Recently, foundation models …

AutoSVD++

2017

Collaborative filtering (CF) has been successfully used to provide users with personalized products and services. However, dealing with the increasing sparseness of user-item matrix still remains a challenge. To tackle such issue, hybrid CF such …