| 2025 | EMNLP | Advancing Fine-Grained Visual Understanding with Multi-Scale Alignment in Multi-Modal Models. | Wei Wang, Zhaowei Li, Qi Xu, Linfeng Li, Yiqing Cai, Botian Jiang, Hang Song, Xingcan Hu, Pengyu Wang, Li Xiao |
| 2025 | MICCAI | Learning 3D Medical Image Models from Brain Functional Connectivity Network Supervision for Mental Disorder Diagnosis. | Xingcan Hu, Wei Wang, Li Xiao |
| 2025 | WWW | PyOD 2: A Python Library for Outlier Detection with LLM-powered Model Selection. | Sihan Chen, Zhuangzhuang Qian, Wingchun Siu, Xingcan Hu, Jiaqi Li, Shawn Li, Yuehan Qin, Tiankai Yang, Zhuo Xiao, Wanghao Ye, Yichi Zhang, Yushun Dong, Yue Zhao |
| 2024 | ICASSP | A Graph Neural Network Based Fusion of MRI-Derived Brain Network and Clinical Data for Glioblastoma Survival Prediction. | Xingcan Hu, Li Xiao, Yu-Ping Wang |
| 2024 | ICASSP | Adaptive Multiview Community-Preserved Graph Convolutional Network for Multiatlas-Based Functional Connectivity Analysis. | Wei Wang, Xingcan Hu, Li Xiao, Yu-Ping Wang |
| 2023 | MICCAI | Overall Survival Time Prediction of Glioblastoma on Preoperative MRI Using Lesion Network Mapping. | Xingcan Hu, Li Xiao, Xiaoyan Sun, Feng Wu |