| 2025 | WWW | Simulating Question-answering Correctness with a Conditional Diffusion. | Ting Long, Li'ang Yin, Yi Chang, Wei Xia, Yong Yu |
| 2024 | KDD | Privileged Knowledge State Distillation for Reinforcement Learning-based Educational Path Recommendation. | Qingyao Li, Wei Xia, Li'ang Yin, Jiarui Jin, Yong Yu |
| 2023 | CIKM | Graph Enhanced Hierarchical Reinforcement Learning for Goal-oriented Learning Path Recommendation. | Qingyao Li, Wei Xia, Li'ang Yin, Jian Shen, Renting Rui, Weinan Zhang, Xianyu Chen, Ruiming Tang, Yong Yu |
| 2020 | IJCAI | Aggregating Crowd Wisdom with Side Information via a Clustering-based Label-aware Autoencoder. | Li'ang Yin, Yunfei Liu, Weinan Zhang, Yong Yu |
| 2017 | IJCAI | Aggregating Crowd Wisdoms with Label-aware Autoencoders. | Li'ang Yin, Jianhua Han, Weinan Zhang, Yong Yu |
| 2016 | APWEB | Aggregating Crowd Wisdom with Instance Grouping Methods. | Li'ang Yin, Zhengbo Li, Jianhua Han, Yong Yu |
| 2016 | WWW | Label Aggregation with Instance Grouping Model. | Li'ang Yin, Jianhua Han, Yong Yu |
| 2014 | ICDM | LorSLIM: Low Rank Sparse Linear Methods for Top-N Recommendations. | Yao Cheng, Li'ang Yin, Yong Yu |
| 2013 | RecSys | Set-oriented personalized ranking for diversified top-n recommendation. | Ruilong Su, Li'ang Yin, Kailong Chen, Yong Yu |
| 2012 | APWEB | Learning to Recommend Based on Slope One Strategy. | Yongqiang Wang, Li'ang Yin, Bing Cheng, Yong Yu |
| 2012 | APWEB | Collaborative Filtering via Temporal Euclidean Embedding. | Li'ang Yin, Yongqiang Wang, Yong Yu |