Xiuding Cai

According to our database, Xiuding Cai authored at least 18 papers between 2022 and 2026.

Collaborative distances:

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

2026

Self identity mapping.

Xiuding Cai, Yaoyao Zhu, Linjie Fu, Dong Miao, Yu Yao

Neural Networks, 2026

Early Warning of Intraoperative Adverse Events via Transformer-Driven Multi-Label Learning.

Xueyao Wang, Xiuding Cai, Honglin Shang, Yaoyao Zhu, Yu Yao

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

VitalBench: A Rigorous Multi-Center Benchmark for Long-Term Vital Sign Prediction in Intraoperative Care.

Xiuding Cai, Xueyao Wang, Sen Wang, Yaoyao Zhu, Jiao Chen, Yu Yao

CoRR, November, 2025

Learning Semantic Directions for Feature Augmentation in Domain-Generalized Medical Segmentation.

Yingkai Wang, Yaoyao Zhu, Xiuding Cai, Yuhao Xiao, Haotian Wu, Yu Yao

CoRR, July, 2025

DG-MSGAT: A Biologically-informed Differential Gene Multi-Scale Graph Attention Network for predicting neoadjuvant therapy response in rectal cancer.

Xu Luo, Pei Shu, Ning Liu, Dong Miao, Xiuding Cai, Yu Yao, Xin Wang

Comput. Methods Programs Biomed., 2025

CMT-FFNet: A CMT-based feature-fusion network for predicting TACE treatment response in hepatocellular carcinoma.

Sen Wang, Ying Zhao, Xiuding Cai, Nan Wang, Qinhe Zhang, Siyi Qi, Ziyao Yu, Ailian Liu, Yu Yao

Comput. Medical Imaging Graph., 2025

Semantic Data Augmentation Enhanced Invariant Risk Minimization for Medical Image Domain Generalization.

Yaoyao Zhu, Xiuding Cai, Yingkai Wang, Yu Yao, Xu Luo, Zhongliang Fu

Proceedings of the International Joint Conference on Neural Networks, 2025

2024

Towards Real-World Applications of Personalized Anesthesia Using Policy Constraint Q Learning for Propofol Infusion Control.

Xiuding Cai, Jiao Chen, Yaoyao Zhu, Beiming Wang, Yu Yao

IEEE J. Biomed. Health Informatics, January, 2024

Enlarging Feature Support Overlap for Domain Generalization.

Yaoyao Zhu, Xiuding Cai, Dong Miao, Yu Yao, Zhongliang Fu

CoRR, 2024

MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting.

Xiuding Cai, Yaoyao Zhu, Xueyao Wang, Yu Yao

CoRR, 2024

MD-Dose: A Diffusion Model based on the Mamba for Radiotherapy Dose Prediction.

Linjie Fu, Xia Li, Xiuding Cai, Yingkai Wang, Xueyao Wang, Yali Shen, Yu Yao

CoRR, 2024

Bayesian Random Semantic Data Augmentation for Medical Image Classification.

Yaoyao Zhu, Xiuding Cai, Xueyao Wang, Yu Yao

CoRR, 2024

Energy-guided diffusion model for CBCT-to-CT synthesis.

Linjie Fu, Xia Li, Xiuding Cai, Dong Miao, Yu Yao, Yali Shen

Comput. Medical Imaging Graph., 2024

MD-Dose: A diffusion model based on the Mamba for radiation dose prediction.

Linjie Fu, Xia Li, Xiuding Cai, Xueyao Wang, Yali Shen, Yu Yao

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

Rethinking the Paradigm of Content Constraints in Unpaired Image-to-Image Translation.

Xiuding Cai, Yaoyao Zhu, Dong Miao, Linjie Fu, Yu Yao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

SP-DiffDose: A Conditional Diffusion Model for Radiation Dose Prediction Based on Multi-Scale Fusion of Anatomical Structures, Guided by SwinTransformer and Projector.

Linjie Fu, Xia Li, Xiuding Cai, Yingkai Wang, Xueyao Wang, Yu Yao, Yali Shen

CoRR, 2023

Towards Safe Propofol Dosing during General Anesthesia Using Deep Offline Reinforcement Learning.

Xiuding Cai, Jiao Chen, Yaoyao Zhu, Beiming Wang, Yu Yao

CoRR, 2023

2022

Constraining Multi-scale Pairwise Features between Encoder and Decoder Using Contrastive Learning for Unpaired Image-to-Image Translation.

Xiuding Cai, Yaoyao Zhu, Dong Miao, Linjie Fu, Yu Yao

CoRR, 2022