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Zhuomin Chen
7 papers at tracked venues · 6 at CORE A* · active 2024–2026
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Venues
ICLR
×2
ICML
×2
AAAI
×1
CIKM
×1
NeurIPS
×1
Frequent coauthors
Dongsheng Luo
×6
Xu Zheng
×4
Farhad Shirani
×4
Hua Wei
×3
Jingchao Ni
×2
Wei Cheng
×2
Jiaxing Zhang
×2
Tianchun Wang
×2
Hojat Allah Salehi
×1
Esteban Schafir
×1
Chaohao Lin
×1
Wenbo Guo
×1
Papers
Explanation-Preserving Augmentation for Semi-Supervised Graph Representation Learning
BibTeX ⧉
AAAI 2026
·
Zhuomin Chen
,
Jingchao Ni
,
Hojat Allah Salehi
,
Xu Zheng
,
Esteban Schafir
,
Farhad Shirani
,
Dongsheng Luo
F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI
BibTeX ⧉
ICLR 2025
·
Xu Zheng
,
Farhad Shirani
,
Zhuomin Chen
,
Chaohao Lin
,
Wei Cheng
,
Wenbo Guo
,
Dongsheng Luo
Integrating Time Series into LLMs via Multi-layer Steerable Embedding Fusion for Enhanced Forecasting
BibTeX ⧉
CIKM 2025
·
Zhuomin Chen
,
Dan Li
,
Jiahui Zhou
,
Shunyu Wu
,
Haozheng Ye
,
Jian Lou
,
See-Kiong Ng
Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks
BibTeX ⧉
ICML 2024
·
Zhuomin Chen
,
Jiaxing Zhang
,
Jingchao Ni
,
Xiaoting Li
,
Yuchen Bian
,
Md Mezbahul Islam
,
Ananda Mondal
,
Hua Wei
,
Dongsheng Luo
RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks
BibTeX ⧉
NeurIPS 2024
·
Jiaxing Zhang
,
Zhuomin Chen
,
Hao Mei
,
Longchao Da
,
Dongsheng Luo
,
Hua Wei
TimeX++: Learning Time-Series Explanations with Information Bottleneck
BibTeX ⧉
ICML 2024
·
Zichuan Liu
,
Tianchun Wang
,
Jimeng Shi
,
Xu Zheng
,
Zhuomin Chen
,
Lei Song
,
Wenqian Dong
,
Jayantha Obeysekera
,
Farhad Shirani
,
Dongsheng Luo
Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks
BibTeX ⧉
ICLR 2024
·
Xu Zheng
,
Farhad Shirani
,
Tianchun Wang
,
Wei Cheng
,
Zhuomin Chen
,
Haifeng Chen
,
Hua Wei
,
Dongsheng Luo