Published in ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2026), 2026
Recommended citation: Q. Xu, G. Habib, F. Wu, D. Perera, M. Feng. (2026). "MedDreamer: Model-Based Reinforcement Learning with Latent Imagination on Complex EHRs for Clinical Decision Support." KDD 2026.
Published in arXiv preprint arXiv:2606.19888, 2026
Recommended citation: F. Wu, H. Deep, E. Lehman, S. Kapoor, G. Zhao, R. Krishnan, G. Clifford, et al. (2026). "SL-S4Wave: Self-Supervised Learning of Physiological Waveforms with Structured State Space Models." arXiv preprint arXiv:2606.19888. https://arxiv.org/abs/2606.19888
Published in International Conference on Learning Representations (ICLR 2026), 2026
Recommended citation: J. Ma*, F. Wu*, Q. Lin, Y. Xing, C. Liu, Z. Jia, M. Feng. (2026). "CodeBrain: Bridging Decoupled Tokenizer and Multi-Scale Architecture for EEG Foundation Model." ICLR 2026. (*equal contribution)
Published in arXiv preprint arXiv:2602.17251, 2026
Recommended citation: J. Ma*, F. Wu*, Y. Xing, Q. Lin, T. Liu, C. Liu, Z. Jia, M. Feng. (2026). "Structured Prototype-Guided Adaptation for EEG Foundation Models." arXiv preprint arXiv:2602.17251. (*equal contribution) https://arxiv.org/abs/2602.17251
Published in arXiv preprint arXiv:2602.03305, 2026
Recommended citation: Q. Xu, G. Habib, F. Wu, Y. Du, Z. Chen, S. Mishra, D. Perera, M. Feng. (2026). "medR: Reward Engineering for Clinical Offline Reinforcement Learning via Tri-Drive Potential Functions." arXiv preprint arXiv:2602.03305. https://arxiv.org/abs/2602.03305
Published in npj Digital Medicine, 2026
Recommended citation: Q. Xu, F. Wu, Z.Y.C. Thong, M.S.L. Goh, P. Chen, J. Yang, C. Huang, Z. Zhang, et al. (2026). "HRRT: Hierarchical Reinforcement Learning for Renal Replacement Therapy Decision Support." npj Digital Medicine.
Published in Advances in Neural Information Processing Systems (NeurIPS 2025), 2025
Recommended citation: X. Lan, F. Wu, K. He, Q. Zhao, S. Hong, M. Feng. (2025). "GEM: Empowering MLLM for Grounded ECG Understanding with Time Series and Images." NeurIPS 2025.
Published in International Conference on Intelligent Computing (ICIC 2025), 2025
Recommended citation: Y. Liu, F. Wu, M.X. Zhu. (2025). "Alleviating User-Sensitive Bias with Fair Generative Sequential Recommendation Model." International Conference on Intelligent Computing, 223-235.
Published in IEEE Transactions on Knowledge and Data Engineering, 2024
Recommended citation: F. Wu, G. Zhao, T. Li, J. Shen, X. Qian. (2024). "Improving Conversational Recommendation System through Personalized Preference Modeling and Knowledge Graph." IEEE Transactions on Knowledge and Data Engineering, 36(12), 8529-8540.
Published in Proceedings of Machine Learning Research 259 (ML4H 2024), 2024
Recommended citation: L. Deng, H. Xiong, F. Wu, S. Kapoor, S. Ghosh, Z. Shahn, L.H. Lehman. (2024). "Uncertainty Quantification for Conditional Treatment Effect Estimation under Dynamic Treatment Regimes." Proceedings of Machine Learning Research, 259, 248.
Published in Proceedings of the 9th Machine Learning for Healthcare Conference (MLHC 2024), PMLR 252, 2024
Recommended citation: H. Xiong*, F. Wu*, L. Deng, M. Su, L.H. Lehman. (2024). "G-Transformer: Counterfactual Outcome Prediction under Dynamic and Time-varying Treatment Regimes." Proceedings of the 9th Machine Learning for Healthcare Conference, PMLR 252. (*equal contribution)
Published in IEEE Transactions on Biomedical Engineering, 2023
Recommended citation: F. Wu, G. Zhao, Y. Zhou, X. Qian, B.K. Elias, L.H. Lehman. (2023). "Forecasting Treatment Outcomes Over Time Using Alternating Deep Sequential Models." IEEE Transactions on Biomedical Engineering, 71(4), 1237-1246.
Published in Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 2023
Recommended citation: L. Lehman, B. Moody, H. Deep, F. Wu, H. Saeed, L. McCullum, D. Perry, et al. (2023). "VTaC: A Benchmark Dataset of Ventricular Tachycardia Alarms from ICU Monitors." Advances in Neural Information Processing Systems 36, 38827-38843.
Published in Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI 2023), 2023
Recommended citation: F. Wu, G. Zhao, X. Qian, L.H. Lehman. (2023). "A Diffusion Model with Contrastive Learning for ICU False Arrhythmia Alarm Reduction." Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI 2023).