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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About me
About me
Posts
portfolio
MixupExplainer
Model Architecture for MixupExplainer
RegExplainer
Model Architecture for RegExplainer
publications
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.
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.
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
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
talks
Address Out-Of-Distribution Problem in Explainable AI in Graph Neural Networks
Published:
I did oral presentation for our paper “MixupExplainer: Generalizing Explanations for Graph Neural Networks with Data Augmentation” at KDD 2023. Download paper here
RegExplainer: Generating Explanations for Graph Neural Networks in Regression Task
Published:
I did poster presentation for our paper “RegExplainer: Generating Explanations for Graph Neural Networks in Regression Task” at Learning on Graphs Conference 2024. Download paper here ```
teaching
IS218: Web Application Development
Undergraduate course, New Jersey Institute of Technology, Department of Information Systems, 2024
I taught a course on web application development using HTML, Python, Docker and Flask. I held office hours, graded assignments, and led lab sessions.