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Zhuomin Chen
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2020 – today
- 2024
- [c3]Xu Zheng, Farhad Shirani, Tianchun Wang, Wei Cheng, Zhuomin Chen, Haifeng Chen, Hua Wei, Dongsheng Luo:
Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks. ICLR 2024 - [c2]Zhuomin Chen, Jiaxing Zhang, Jingchao Ni, Xiaoting Li, Yuchen Bian, Md Mezbahul Islam, Ananda Mondal, Hua Wei, Dongsheng Luo:
Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks. ICML 2024 - [c1]Zichuan Liu, Tianchun Wang, Jimeng Shi, Xu Zheng, Zhuomin Chen, Lei Song, Wenqian Dong, Jayantha Obeysekera, Farhad Shirani, Dongsheng Luo:
TimeX++: Learning Time-Series Explanations with Information Bottleneck. ICML 2024 - [i6]Zhuomin Chen, Jiaxing Zhang, Jingchao Ni, Xiaoting Li, Yuchen Bian, Md Mezbahul Islam, Ananda Mohan Mondal, Hua Wei, Dongsheng Luo:
Interpreting Graph Neural Networks with In-Distributed Proxies. CoRR abs/2402.02036 (2024) - [i5]Zichuan Liu, Tianchun Wang, Jimeng Shi, Xu Zheng, Zhuomin Chen, Lei Song, Wenqian Dong, Jayantha Obeysekera
, Farhad Shirani, Dongsheng Luo:
TimeX++: Learning Time-Series Explanations with Information Bottleneck. CoRR abs/2405.09308 (2024) - [i4]Xu Zheng, Farhad Shirani, Zhuomin Chen, Chaohao Lin, Wei Cheng, Wenbo Guo, Dongsheng Luo:
F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI. CoRR abs/2410.02970 (2024) - [i3]Zhuomin Chen, Jingchao Ni, Hojat Allah Salehi, Xu Zheng, Esteban Schafir, Farhad Shirani, Dongsheng Luo:
Explanation-Preserving Augmentation for Semi-Supervised Graph Representation Learning. CoRR abs/2410.12657 (2024) - 2023
- [j1]Zhuomin Chen, Li Wang, Xiaofei Zhu, Stefan Dietze:
TSNN: A Topic and Structure Aware Neural Network for Rumor Detection. Neurocomputing 531: 114-124 (2023) - [i2]Jiaxing Zhang, Zhuomin Chen, Hao Mei, Dongsheng Luo, Hua Wei:
RegExplainer: Generating Explanations for Graph Neural Networks in Regression Task. CoRR abs/2307.07840 (2023) - [i1]Xu Zheng, Farhad Shirani, Tianchun Wang, Wei Cheng, Zhuomin Chen, Haifeng Chen, Hua Wei, Dongsheng Luo:
Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks. CoRR abs/2310.01820 (2023)
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