Jiaxing Zhang

According to our database, Jiaxing Zhang authored at least 7 papers between 2023 and 2024.

Collaborative distances:

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

2024

LLMExplainer: Large Language Model based Bayesian Inference for Graph Explanation Generation.

Jiaxing Zhang, Jiayi Liu, Dongsheng Luo, Jennifer Neville, Hua Wei

CoRR, 2024

Interpreting Graph Neural Networks with In-Distributed Proxies.

Zhuomin Chen, Jiaxing Zhang, Jingchao Ni, Xiaoting Li, Yuchen Bian, Md Mezbahul Islam, Ananda Mohan Mondal, Hua Wei, Dongsheng Luo

CoRR, 2024

Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks.

Zhuomin Chen, Jiaxing Zhang, Jingchao Ni, Xiaoting Li, Yuchen Bian, Md Mezbahul Islam, Ananda Mondal, Hua Wei, Dongsheng Luo

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

RegExplainer: Generating Explanations for Graph Neural Networks in Regression Task.

Jiaxing Zhang, Zhuomin Chen, Hao Mei, Dongsheng Luo, Hua Wei

CoRR, 2023

Commit-Level, Neural Vulnerability Detection and Assessment.

Yi Li, Aashish Yadavally, Jiaxing Zhang, Shaohua Wang, Tien N. Nguyen

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

DeMinify: Neural Variable Name Recovery and Type Inference.

Yi Li, Aashish Yadavally, Jiaxing Zhang, Shaohua Wang, Tien N. Nguyen

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

MixupExplainer: Generalizing Explanations for Graph Neural Networks with Data Augmentation.

Jiaxing Zhang, Dongsheng Luo, Hua Wei

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023