Jiayi Wu

According to our database, Jiayi Wu authored at least 9 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Effective Bug Detection in Graph Database Engines: An LLM-Based Approach.

Jiayi Wu, Zhengyu Wu, Xunkai Li, Rong-Hua Li, Hongchao Qin, Guoren Wang

IEEE Trans. Knowl. Data Eng., March, 2026

TFPS: A Temporal Filtration-enhanced Positive Sample Set Construction Method for Implicit Collaborative Filtering.

Jiayi Wu, Zhengyu Wu, Xunkai Li, Rong-Hua Li, Guoren Wang

CoRR, February, 2026

A Topology-Aware Positive Sample Set Construction and Feature Optimization Method in Implicit Collaborative Filtering.

Jiayi Wu, Zhengyu Wu, Xunkai Li, Rong-Hua Li, Guoren Wang

CoRR, February, 2026

Dual-Tree LLM-Enhanced Negative Sampling for Implicit Collaborative Filtering.

Jiayi Wu, Zhengyu Wu, Xunkai Li, Rong-Hua Li, Guoren Wang

CoRR, February, 2026

A Simple yet Effective Negative Sampling Plugin for Constructing Positive Sample Pairs in Implicit Collaborative Filtering.

Jiayi Wu, Zhengyu Wu, Xunkai Li, Ronghua Li, Guoren Wang

CoRR, February, 2026

2024

Graph Learning in the Era of LLMs: A Survey from the Perspective of Data, Models, and Tasks.

Xunkai Li, Zhengyu Wu, Jiayi Wu, Hanwen Cui, Jishuo Jia, Rong-Hua Li, Guoren Wang

CoRR, 2024

Effective Bug Detection in Graph Database Engines: An LLM-based Approach.

Jiayi Wu, Zhengyu Wu, Ronghua Li, Hongchao Qin, Guoren Wang

CoRR, 2024

2023

Detecting collusive spammers with heterogeneous graph attention network.

Fuzhi Zhang, Jiayi Wu, Peng Zhang, Ru Ma, Hongtao Yu

Inf. Process. Manag., May, 2023

2022

Detecting collusive spammers on e-commerce websites based on reinforcement learning and adversarial autoencoder.

Fuzhi Zhang, Shuai Yuan, Jiayi Wu, Peng Zhang, Jinbo Chao

Expert Syst. Appl., 2022