Zhuomin Chen

According to our database, Zhuomin Chen authored at least 16 papers between 2023 and 2026.

Collaborative distances:

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

2026

Time Series Reasoning via Process-Verifiable Thinking Data Synthesis and Scheduling for Tailored LLM Reasoning.

Jiahui Zhou, Dan Li, Boxin Li, Xiao Zhang, Erli Meng, Lin Li, Zhuomin Chen, Jian Lou, See-Kiong Ng

CoRR, February, 2026

Explanation-Preserving Augmentation for Semi-Supervised Graph Representation Learning.

Zhuomin Chen, Jingchao Ni, Hojat Allah Salehi, Xu Zheng, Esteban Schafir, Farhad Shirani, Dongsheng Luo

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

From Binary to Continuous: Stochastic Re-Weighting for Robust Graph Explanation.

Zhuomin Chen, Jingchao Ni, Hojat Allah Salehi, Xu Zheng, Dongsheng Luo

CoRR, August, 2025

SF²Bench: Evaluating Data-Driven Models for Compound Flood Forecasting in South Florida.

Xu Zheng, Chaohao Lin, Sipeng Chen, Zhuomin Chen, Jimeng Shi, Wei Cheng, Jayantha Obeysekera, Jason Liu, Dongsheng Luo

CoRR, June, 2025

TSRating: Rating Quality of Diverse Time Series Data by Meta-learning from LLM Judgment.

Shunyu Wu, Dan Li, Haozheng Ye, Zhuomin Chen, Jiahui Zhou, Jian Lou, Zibin Zheng, See-Kiong Ng

CoRR, June, 2025

Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision.

Jiahui Zhou, Dan Li, Lin Li, Zhuomin Chen, Shunyu Wu, Haozheng Ye, Jian Lou, Costas J. Spanos

CoRR, June, 2025

LM²otifs : An Explainable Framework for Machine-Generated Texts Detection.

Xu Zheng, Zhuomin Chen, Esteban Schafir, Sipeng Chen, Hojat Allah Salehi, Haifeng Chen, Farhad Shirani, Wei Cheng, Dongsheng Luo

CoRR, May, 2025

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Integrating Time Series into LLMs via Multi-layer Steerable Embedding Fusion for Enhanced Forecasting.

Zhuomin Chen, Dan Li, Jiahui Zhou, Shunyu Wu, Haozheng Ye, Jian Lou, See-Kiong Ng

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

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

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

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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 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