MedRetriever: Target-Driven Interpretable Health Risk Prediction via Retrieving Unstructured Medical Text. - Muchao Ye; Suhan Cui; Yaqing Wang 001; Junyu Luo 001; Cao Xiao; Fenglong Ma (CIKM, 2021)

MedPath: Augmenting Health Risk Prediction via Medical Knowledge Paths. - Muchao Ye; Suhan Cui; Yaqing Wang 001; Junyu Luo 001; Cao Xiao; Fenglong Ma (WWW, 2021)

AUTOMED: Automated Medical Risk Predictive Modeling on Electronic Health Records. - Suhan Cui; Jiaqi Wang 002; Xinning Gui; Ting Wang 006; Fenglong Ma (BIBM, 2022)

MedSkim: Denoised Health Risk Prediction via Skimming Medical Claims Data. - Suhan Cui; Junyu Luo 001; Muchao Ye; Jiaqi Wang 002; Ting Wang 006; Fenglong Ma (ICDM, 2022)

Towards Federated COVID-19 Vaccine Side Effect Prediction. - Jiaqi Wang 002; Cheng Qian 001; Suhan Cui; Lucas Glass; Fenglong Ma (ECML/PKDD (6), 2022)

Hierarchical Pretraining on Multimodal Electronic Health Records. - Xiaochen Wang 002; Junyu Luo 001; Jiaqi Wang 002; Ziyi Yin 003; Suhan Cui; Yuan Zhong 002; Yaqing Wang 001; Fenglong Ma (EMNLP, 2023)

Towards Personalized Federated Learning via Heterogeneous Model Reassembly. - Jiaqi Wang 002; Xingyi Yang; Suhan Cui; Liwei Che; Lingjuan Lyu; Dongkuan Xu; Fenglong Ma (NeurIPS, 2023)

Predicting line of therapy transition via similar patient augmentation. - Suhan Cui; Guanhao Wei; Li Zhou; Emily Zhao; Ting Wang 006; Fenglong Ma (J. Biomed. Informatics, 2023)

Towards Efficient Methods in Medical Question Answering using Knowledge Graph Embeddings. - Saptarshi Sengupta; Connor T. Heaton; Suhan Cui; Soumalya Sarkar; Prasenjit Mitra (BIBM, 2024)

Automated Multi-Task Learning for Joint Disease Prediction on Electronic Health Records. - Suhan Cui; Prasenjit Mitra (NeurIPS, 2024)

Automated Fusion of Multimodal Electronic Health Records for Better Medical Predictions. - Suhan Cui; Jiaqi Wang 002; Yuan Zhong 002; Han Liu 008; Ting Wang 006; Fenglong Ma (SDM, 2024)

MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation. - Yuan Zhong 002; Suhan Cui; Jiaqi Wang 002; Xiaochen Wang 002; Ziyi Yin 003; Yaqing Wang 001; Houping Xiao; Mengdi Huai; Ting Wang 006; Fenglong Ma (SDM, 2024)