Publications

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RegExplainer: Generating Explanations for Graph Neural Networks in Regression Task

Published in Learning on Graphs Conference, 2023

This paper is about the RegExplainer.

Recommended citation: Jiaxing Zhang, Zhuomin Chen, Hao Mei, Dongsheng Luo, Hua Wei. 2023. RegExplainer: Generating Explanations for Graph Neural Networks in Regression Task. Preprint at Arxiv. https://https://arxiv.org/abs/2307.07840

MixupExplainer: Generalizing Explanations for Graph Neural Networks with Data Augmentation

Published in 29TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, 2023

This paper is about the MixupExplainer. The RegExplainer 4 is the following work.

Recommended citation: Jiaxing Zhang, Dongsheng Luo, Hua Wei. 2023. MixupExplainer: Generalizing Explanations for Graph Neural Networks with Data Augmentation. In Proceedings of the 29th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. https://arxiv.org/abs/2307.07832

DeMinify: Neural Variable Name Recovery and Type Inference

Published in ESEC/FSE, 2023

This paper is about the DeMinify: Neural Variable Name Recovery and Type Inference.

Recommended citation: Yi Li, Aashish Yadavally, Jiaxing Zhang, Shaohua Wang, Tien Nguyen. 2023. DeMinify: Neural Variable Name Recovery and Type Inference. Accepted by ESEC/FSE 2023.

Commit-level, Neural Vulnerability Detection and Assessment

Published in ESEC/FSE, 2023

This paper is about Commit-level, Neural Vulnerability Detection and Assessment.

Recommended citation: Yi Li, Aashish Yadavally, Jiaxing Zhang, Shaohua Wang, Tien Nguyen. 2023. Commit-level, Neural Vulnerability Detection and Assessment. Accepted by ESEC/FSE 2023.