| 2026 | AAAI | Invariant Representation Learning for Memory Behavior Modeling via Adaptive Environment Separation. | Xiaoxuan Shen, Zhihai Hu, Fuqing Li, Shengyingjie Liu, Jianwen Sun |
| 2025 | AAAI | VCR: A "Cone of Experience" Driven Synthetic Data Generation Framework for Mathematical Reasoning. | Sannyuya Liu, Jintian Feng, Xiaoxuan Shen, Shengyingjie Liu, Qian Wan, Jianwen Sun |
| 2025 | CIKM | ROKAN: Toward Interpretable and Domain-Robust Memory Behavior Modeling. | Xiaoxuan Shen, Zhihai Hu, Di Chen, Jianwen Sun, Shengyingjie Liu |
| 2025 | IJCNN | CourseLRec: Leveraging Large Language Models for Personalized Course Recommendations. | Zelin Cao, Baolin Yi, Xiaoxuan Shen, Huanyu Zhang, Pengcheng Li, Jianfang Liu, Wei Wang |
| 2025 | KDD | Combining Denoised Neural Network and Genetic Symbolic Regression for Memory Behavior Modeling via Dynamic Asynchronous Optimization. | Jianwen Sun, Qirong Chen, Zhenya Huang, Zhihai Hu, Ruxia Liang, Xiaoxuan Shen |
| 2025 | WWW | A Plug-in Critiquing Approach for Knowledge Graph Recommendation Systems via Representative Sampling. | Huanyu Zhang, Xiaoxuan Shen, Baolin Yi, Jianfang Liu, Yinao Xie |
| 2024 | IJCNN | Causal Feature-Enhanced Collaborative Filtering Algorithm. | Chao Dai, Baolin Yi, Xiaoxuan Shen, Huanyu Zhang, Wei Wang, WeiZheng Luo |
| 2024 | WWW | Interpretable Knowledge Tracing with Multiscale State Representation. | Jianwen Sun, Fenghua Yu, Qian Wan, Qing Li, Sannyuya Liu, Xiaoxuan Shen |