Zhuomin Chen

According to our database, Zhuomin Chen authored at least 7 papers between 2023 and 2024.

Collaborative distances:

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

2024

F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI.

Xu Zheng, Farhad Shirani, Zhuomin Chen, Chaohao Lin, Wei Cheng, Wenbo Guo, Dongsheng Luo

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

TimeX++: Learning Time-Series Explanations with Information Bottleneck.

Zichuan Liu, Tianchun Wang, Jimeng Shi, Xu Zheng, Zhuomin Chen, Lei Song, Wenqian Dong, Jayantha Obeysekera, Farhad Shirani, Dongsheng Luo

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

Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks.

Xu Zheng, Farhad Shirani, Tianchun Wang, Wei Cheng, Zhuomin Chen, Haifeng Chen, Hua Wei, Dongsheng Luo

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

TSNN: A Topic and Structure Aware Neural Network for Rumor Detection.

Zhuomin Chen, Li Wang, Xiaofei Zhu, Stefan Dietze

Neurocomputing, April, 2023

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

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

CoRR, 2023