研究成果
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)
