Jiaxing Zhang

15 papers A* 5Journal 7Unranked 3
YearRankTypeTitle / Venue / Authors
2025 A* conf
GE-Chat: A Graph Enhanced RAG Framework for Evidential Response Generation of LLMs.
IJCAI
Longchao Da, Parth Mitesh Shah, Kuanru Liou, Jiaxing Zhang, Hua Wei
2025 J jnl
GE-Chat: A Graph Enhanced RAG Framework for Evidential Response Generation of LLMs.
CoRR
Longchao Da, Parth Mitesh Shah, Kuanru Liou, Jiaxing Zhang, Hua Wei
2025 — conf
Is Your Explanation Reliable: Confidence-Aware Explanation on Graph Neural Networks.
KDD (2)
Jiaxing Zhang, Xiaoou Liu, Dongsheng Luo, Hua Wei
2025 J jnl
Is Your Explanation Reliable: Confidence-Aware Explanation on Graph Neural Networks.
CoRR
Jiaxing Zhang, Xiaoou Liu, Dongsheng Luo, Hua Wei
2025 A* conf
RISE: Radius of Influence based Subgraph Extraction for 3D Molecular Graph Explanation.
ICML
Jingxiang Qu, Wenhan Gao, Jiaxing Zhang, Xufeng Liu, Hua Wei, Haibin Ling, Yi Liu
2025 J jnl
RISE: Radius of Influence based Subgraph Extraction for 3D Molecular Graph Explanation.
CoRR
Jingxiang Qu, Wenhan Gao, Jiaxing Zhang, Xufeng Liu, Hua Wei, Haibin Ling, Yi Liu
2024 A* conf
Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks.
ICML
Zhuomin Chen, Jiaxing Zhang, Jingchao Ni, Xiaoting Li, Yuchen Bian, Md Mezbahul Islam, Ananda Mondal, Hua Wei, Dongsheng Luo
2024 J jnl
Interpreting Graph Neural Networks with In-Distributed Proxies.
CoRR
Zhuomin Chen, Jiaxing Zhang, Jingchao Ni, Xiaoting Li, Yuchen Bian, Md Mezbahul Islam, Ananda Mohan Mondal, Hua Wei, Dongsheng Luo
2024 J jnl
LLMExplainer: Large Language Model based Bayesian Inference for Graph Explanation Generation.
CoRR
Jiaxing Zhang, Jiayi Liu, Dongsheng Luo, Jennifer Neville, Hua Wei
2024 A* conf
RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks.
NeurIPS
Jiaxing Zhang, Zhuomin Chen, Hao Mei, Longchao Da, Dongsheng Luo, Hua Wei
2023 — conf
Commit-Level, Neural Vulnerability Detection and Assessment.
ESEC/SIGSOFT FSE
Yi Li, Aashish Yadavally, Jiaxing Zhang, Shaohua Wang, Tien N. Nguyen
2023 — conf
DeMinify: Neural Variable Name Recovery and Type Inference.
ESEC/SIGSOFT FSE
Yi Li, Aashish Yadavally, Jiaxing Zhang, Shaohua Wang, Tien N. Nguyen
2023 A* conf
MixupExplainer: Generalizing Explanations for Graph Neural Networks with Data Augmentation.
KDD
Jiaxing Zhang, Dongsheng Luo, Hua Wei
2023 J jnl
MixupExplainer: Generalizing Explanations for Graph Neural Networks with Data Augmentation.
CoRR
Jiaxing Zhang, Dongsheng Luo, Hua Wei
2023 J jnl
RegExplainer: Generating Explanations for Graph Neural Networks in Regression Task.
CoRR
Jiaxing Zhang, Zhuomin Chen, Hao Mei, Dongsheng Luo, Hua Wei