主要成果 |
科研项目: 1. 国家青年自然科学基金项目,模型约束强化学习驱动的临床决策支持方法研究,30万,项目负责人。 2. 上海市自然科学基金面上项目,面向睡眠呼吸障碍患者全流程辅助诊断算法应用研究,20万,项目负责人。 3. 复旦大学附属耳鼻喉科医院合作项目,睡眠呼吸障碍智能化诊断医工交叉创新团队,30万,高级研究人员。 4. 校企合作项目,青少年人工智能科创项目设计与指导,45万,项目负责人。 部分代表论文: 1. Qiu, X., Shi, S., Tan, X., et al. (2023). Gram-based Attentive Neural Ordinary Differential Equations Network for Video Nystagmography Classification. (Accepted by ICCV 2023, CCF A类人工智能顶级会议) 2. Qiu, X., Tan, X., Li, Q., Chen, S., Ru, Y., & Jin, Y. (2022). A latent batch-constrained deep reinforcement learning approach for precision dosing clinical decision support. Knowledge-Based Systems, 237, 107689. (SCI; IF: 8.038, 一区Top,CCF推荐期刊) 3. Qiu, X., Tan, X., Yan, F., Su, Q., Chen, J., & Jiang, X. (2021). Semi-supervised recommender system for bone implant ratio recommendation. Journal of Ambient Intelligence and Humanized Computing, 1-10. (SCI; IF: 7.104, 二区) 4. Chen, S., Qiu, X.*, Tan, X., Fang, Z., & Jin, Y. (2022). A Model-based Hybrid Soft Actor-Critic Deep Reinforcement Learning Algorithm for Optimal Ventilator Settings. Information Sciences, 611,47-64. (SCI; IF: 8.233, 一区Top,CCF推荐期刊) 5. Ru, Y., Qiu, X.*, Tan, X., Chen, B., Gao, Y., & Jin, Y. (2022). Sparse-attentive meta temporal point process for clinical decision support. Neurocomputing, 485, 114-123. (SCI; IF: 5.779, 二区,CCF推荐期刊) 6. Qian, J., Qiu, X.*, Tan, X., Li, Q., Chen, J., & Jiang, X. (2022). An Attentive LSTM based approach for adverse drug reactions prediction. Applied Intelligence, 1-15. (SCI; IF: 5.019, 二区,CCF推荐期刊) Tan, X., Yong, L. I. N., Zhu, S., Qu, C., Qiu, X., Yinghui, X., ... & Qi, Y. (2023). Provably Invariant Learning without Domain Information. (Accepted by ICML 2023, CCF A类人工智能顶级会议)
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