Bin Wu

Distant Supervision for Relation Extraction with Hierarchical Attention and Entity Descriptions

2018

Distant supervision for relation extraction is an effective method to find novel relational facts from plain text. However, distant supervision inevitably suffers from wrong label problem, and most existing methods generally focus on direct sentences …

DeeSCVHunter: A Deep Learning-Based Framework for Smart Contract Vulnerability Detection

2021

Security attacks in smart contracts have drawn extensive attention due to the financial loss and erosion of trust caused by vulnerabilities. Even worse, smart contract is a tamper proof digital agreement and fixing bugs in …

Privacy-Preserving Multi-Keyword Fuzzy Adjacency Search Strategy for Encrypted Graph in Cloud Environment

2024 · Computers, materials & continua/Computers, materials & continua (Print)

In a cloud environment, outsourced graph data is widely used in companies, enterprises, medical institutions, and so on. Data owners and users can save costs and improve efficiency by storing large amounts of graph data …

Understanding the Role of User Profile in the Personalization of Large Language Models

2024 · arXiv (Cornell University)

Utilizing user profiles to personalize Large Language Models (LLMs) has been shown to enhance the performance on a wide range of tasks. However, the precise role of user profiles and their effect mechanism on LLMs …

Efficient User Identity Linkage Based on Aligned Multimodal Features and Temporal Correlation

2024 · Computers, materials & continua/Computers, materials & continua (Print)

User identity linkage (UIL) refers to identifying user accounts belonging to the same identity across different social media platforms. Most of the current research is based on text analysis, which fails to fully explore the …

LLM-CoT Enhanced Graph Neural Recommendation with Harmonized Group Policy Optimization

2025 · arXiv (Cornell University)

Graph neural networks (GNNs) have advanced recommender systems by modeling interaction relationships. However, existing graph-based recommenders rely on sparse ID features and do not fully exploit textual information, resulting in low information density within representations. …

Semantic Path based Personalized Recommendation on Weighted Heterogeneous Information Networks

2015

Recently heterogeneous information network (HIN) analysis has attracted a lot of attention, and many data mining tasks have been exploited on HIN. As an important data mining task, recommender system includes a lot of object …