| 2025 | CIKM | G2IFS: Global-to-Instance Feature Selection in Deep Recommender System. | Lijin Chen, Linjing You, Jiabao Lu, Xiayuan Huang, Xiangli Nie |
| 2025 | ICASSP | Probabilistic Contrastive Test-Time Adaptation. | Linjing You, Jiabao Lu, Xiayuan Huang |
| 2025 | ICCV | FRET: Feature Redundancy Elimination for Test Time Adaptation. | Linjing You, Jiabao Lu, Xiayuan Huang, Xiangli Nie |
| 2025 | ICML | Test-time Correlation Alignment. | Linjing You, Jiabao Lu, Xiayuan Huang |
| 2024 | AIME | Integrating Multimodal Patient Data into Attention-Based Graph Networks for Disease Risk Prediction. | Xiayuan Huang |
| 2023 | ICIP | PolSAR Image Classification Based-On Semi-Supervised Polarimetric Feature Selection. | Xiayuan Huang |
| 2020 | IGARSS | Polsar Image Feature Extraction Based on Co-Regularization. | Xiayuan Huang, Xiangli Nie, Hong Qiao |
| 2019 | ICIP | Supervised Polsar Image Classification by Combining Multiple Features. | Xiayuan Huang, Xiangli Nie, Hong Qiao, Bo Zhang |
| 2019 | IGARSS | A Novel Tensor-Based Feature Extraction Method for Polsar Image Classification. | Xiayuan Huang, Xiangli Nie, Hong Qiao, Bo Zhang |
| 2018 | AMIA | Use of Electronic Health Record to Predict Family Relationships for Phenome-wide Research. | Xiayuan Huang, Robert C. Elston, John Mayer, Zhan Ye, Yuqi He, David Page, Scott J. Hebbring |
| 2017 | ICIP | Polsar data online classification based on multi-view learning. | Xiangli Nie, Shuguang Ding, Bo Zhang, Hong Qiao, Xiayuan Huang |