RegExplainer: Generating Explanations for Graph Neural Networks in Regression Task. - Jiaxing Zhang 002; Zhuomin Chen; Hao Mei; Dongsheng Luo; Hua Wei 001 (CoRR, 2023)

TSNN: A Topic and Structure Aware Neural Network for Rumor Detection. - Zhuomin Chen; Li Wang; Xiaofei Zhu; Stefan Dietze (Neurocomputing, 2023)

Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks. - Xu Zheng 003; Farhad Shirani 001; Tianchun Wang; Wei Cheng 002; Zhuomin Chen; Haifeng Chen; Hua Wei 001; Dongsheng Luo (ICLR, 2024)

Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks. - Zhuomin Chen; Jiaxing Zhang 002; Jingchao Ni; Xiaoting Li; Yuchen Bian; Md Mezbahul Islam; Ananda Mondal; Hua Wei 001; Dongsheng Luo (ICML, 2024)

TimeX++: Learning Time-Series Explanations with Information Bottleneck. - Zichuan Liu; Tianchun Wang; Jimeng Shi; Xu Zheng 003; Zhuomin Chen; Lei Song 001; Wenqian Dong; Jayantha Obeysekera; Farhad Shirani 001; Dongsheng Luo (ICML, 2024)

RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks. - Jiaxing Zhang 002; Zhuomin Chen; Hao Mei; Longchao Da; Dongsheng Luo; Hua Wei 001 (NeurIPS, 2024)

Interpreting Graph Neural Networks with In-Distributed Proxies. - Zhuomin Chen; Jiaxing Zhang 002; Jingchao Ni; Xiaoting Li; Yuchen Bian; Md Mezbahul Islam; Ananda Mohan Mondal; Hua Wei 001; Dongsheng Luo (CoRR, 2024)

Explanation-Preserving Augmentation for Semi-Supervised Graph Representation Learning. - Zhuomin Chen; Jingchao Ni; Hojat Allah Salehi; Xu Zheng 003; Esteban Schafir; Farhad Shirani 001; Dongsheng Luo (CoRR, 2024)

F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI. - Xu Zheng 003; Farhad Shirani 001; Zhuomin Chen; Chaohao Lin; Wei Cheng 002; Wenbo Guo 002; Dongsheng Luo (ICLR, 2025)

LM2otifs : An Explainable Framework for Machine-Generated Texts Detection. - Xu Zheng 003; Zhuomin Chen; Esteban Schafir; Sipeng Chen; Hojat Allah Salehi; Haifeng Chen; Farhad Shirani 001; Wei Cheng 002; Dongsheng Luo (CoRR, 2025)

Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision. - Jiahui Zhou; Dan Li 016; Lin Li; Zhuomin Chen; Shunyu Wu; Haozheng Ye; Jian Lou; Costas J. Spanos (CoRR, 2025)

TSRating: Rating Quality of Diverse Time Series Data by Meta-learning from LLM Judgment. - Shunyu Wu; Dan Li 016; Haozheng Ye; Zhuomin Chen; Jiahui Zhou; Jian Lou; Zibin Zheng; See-Kiong Ng (CoRR, 2025)

SF2Bench: Evaluating Data-Driven Models for Compound Flood Forecasting in South Florida. - Xu Zheng 003; Chaohao Lin; Sipeng Chen; Zhuomin Chen; Jimeng Shi; Wei Cheng 002; Jayantha Obeysekera; Jason Liu; Dongsheng Luo (CoRR, 2025)

From Binary to Continuous: Stochastic Re-Weighting for Robust Graph Explanation. - Zhuomin Chen; Jingchao Ni; Hojat Allah Salehi; Xu Zheng 003; Dongsheng Luo (CoRR, 2025)