Suhan Cui

According to our database, Suhan Cui authored at least 15 papers between 2021 and 2026.

Collaborative distances:

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

2026

MFCSync: a multifractal-causal synchronization framework for spatiotemporal EEG feature extraction in cognitive assessment.

Shaochang Wang, Dingna Duan, Tzyy-Ping Jung, Xianglong Wan, Xueguang Xie, Suhan Cui, Hao Yu, Danyang Li, Tiange Liu, Haiqing Song, Dong Wen

Expert Syst. Appl., 2026

A game theory inspired and AI-driven multilevel fusion framework for interpretable and generalized EEG signal classification.

Shaochang Wang, Ching-Hung Lee, Tzyy-Ping Jung, Suhan Cui, Dingna Duan, Xianglong Wan, Xueguang Xie, Haiqing Song, Xianling Dong, Dong Wen

Adv. Eng. Informatics, 2026

MEVER: Multi-Modal and Explainable Claim Verification with Graph-based Evidence Retrieval.

Delvin Ce Zhang, Suhan Cui, Zhelin Chu, Xianren Zhang, Dongwon Lee

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2024

MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation.

Yuan Zhong, Suhan Cui, Jiaqi Wang, Xiaochen Wang, Ziyi Yin, Yaqing Wang, Houping Xiao, Mengdi Huai, Ting Wang, Fenglong Ma

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Automated Fusion of Multimodal Electronic Health Records for Better Medical Predictions.

Suhan Cui, Jiaqi Wang, Yuan Zhong, Han Liu, Ting Wang, Fenglong Ma

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Automated Multi-Task Learning for Joint Disease Prediction on Electronic Health Records.

Suhan Cui, Prasenjit Mitra

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Towards Efficient Methods in Medical Question Answering using Knowledge Graph Embeddings.

Saptarshi Sengupta, Connor T. Heaton, Suhan Cui, Soumalya Sarkar, Prasenjit Mitra

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

Predicting line of therapy transition via similar patient augmentation.

Suhan Cui, Guanhao Wei, Li Zhou, Emily Zhao, Ting Wang, Fenglong Ma

J. Biomed. Informatics, November, 2023

Towards Personalized Federated Learning via Heterogeneous Model Reassembly.

Jiaqi Wang, Xingyi Yang, Suhan Cui, Liwei Che, Lingjuan Lyu, Dongkuan Xu, Fenglong Ma

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Hierarchical Pretraining on Multimodal Electronic Health Records.

Xiaochen Wang, Junyu Luo, Jiaqi Wang, Ziyi Yin, Suhan Cui, Yuan Zhong, Yaqing Wang, Fenglong Ma

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Towards Federated COVID-19 Vaccine Side Effect Prediction.

Jiaqi Wang, Cheng Qian, Suhan Cui, Lucas Glass, Fenglong Ma

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

MedSkim: Denoised Health Risk Prediction via Skimming Medical Claims Data.

Suhan Cui, Junyu Luo, Muchao Ye, Jiaqi Wang, Ting Wang, Fenglong Ma

Proceedings of the IEEE International Conference on Data Mining, 2022

AUTOMED: Automated Medical Risk Predictive Modeling on Electronic Health Records.

Suhan Cui, Jiaqi Wang, Xinning Gui, Ting Wang, Fenglong Ma

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

MedPath: Augmenting Health Risk Prediction via Medical Knowledge Paths.

Muchao Ye, Suhan Cui, Yaqing Wang, Junyu Luo, Cao Xiao, Fenglong Ma

Proceedings of the WWW '21: The Web Conference 2021, 2021

MedRetriever: Target-Driven Interpretable Health Risk Prediction via Retrieving Unstructured Medical Text.

Muchao Ye, Suhan Cui, Yaqing Wang, Junyu Luo, Cao Xiao, Fenglong Ma

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021