Yanfang Ye

Enhancing Robustness of Deep Neural Networks Against Adversarial Malware Samples: Principles, Framework, and AICS'2019 Challenge

2018 · arXiv (Cornell University)

Malware continues to be a major cyber threat, despite the tremendous effort that has been made to combat them. The number of malware in the wild steadily increases over time, meaning that we must resort …

Identifying Illicit Drug Dealers on Instagram with Large-scale Multimodal Data Fusion

2021 · arXiv (Cornell University)

Illicit drug trafficking via social media sites such as Instagram has become a severe problem, thus drawing a great deal of attention from law enforcement and public health agencies. How to identify illicit drug dealers …

Self-Supervised Graph Structure Refinement for Graph Neural Networks

2022 · arXiv (Cornell University)

Graph structure learning (GSL), which aims to learn the adjacency matrix for graph neural networks (GNNs), has shown great potential in boosting the performance of GNNs. Most existing GSL works apply a joint learning framework …

How Does Message Passing Improve Collaborative Filtering?

2024 · arXiv (Cornell University)

Collaborative filtering (CF) has exhibited prominent results for recommender systems and been broadly utilized for real-world applications. A branch of research enhances CF methods by message passing used in graph neural networks, due to its …

Can LLMs Convert Graphs to Text-Attributed Graphs?

2024 · arXiv (Cornell University)

Graphs are ubiquitous structures found in numerous real-world applications, such as drug discovery, recommender systems, and social network analysis. To model graph-structured data, graph neural networks (GNNs) have become a popular tool. However, existing GNN …

LLM-Empowered Class Imbalanced Graph Prompt Learning for Online Drug Trafficking Detection

2025 · arXiv (Cornell University)

As the market for illicit drugs remains extremely profitable, major online platforms have become direct-to-consumer intermediaries for illicit drug trafficking participants. These online activities raise significant social concerns that require immediate actions. Existing approaches to …

Knowledge-aware Coupled Graph Neural Network for Social Recommendation

2021 · Proceedings of the AAAI Conference on Artificial Intelligence

Social recommendation task aims to predict users' preferences over items with the incorporation of social connections among users, so as to alleviate the sparse issue of collaborative filtering. While many recent efforts show the effectiveness …