Posts by Collection

MixupExplainer

Model Architecture for MixupExplainer

RegExplainer

Model Architecture for RegExplainer

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

Address Out-Of-Distribution Problem in Explainable AI in Graph Neural Networks

Published: August 09, 2023

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: March 01, 2024

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 ```

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.