Learning to Recommend Based on Slope One Strategy. - Yongqiang Wang; Li'ang Yin; Bing Cheng; Yong Yu 001 (APWeb, 2012)

Collaborative Filtering via Temporal Euclidean Embedding. - Li'ang Yin; Yongqiang Wang; Yong Yu 001 (APWeb, 2012)

Set-oriented personalized ranking for diversified top-n recommendation. - Ruilong Su; Li'ang Yin; Kailong Chen; Yong Yu 001 (RecSys, 2013)

LorSLIM: Low Rank Sparse Linear Methods for Top-N Recommendations. - Yao Cheng; Li'ang Yin; Yong Yu 001 (ICDM, 2014)

Aggregating Crowd Wisdom with Instance Grouping Methods. - Li'ang Yin; Zhengbo Li; Jianhua Han; Yong Yu 001 (APWeb (1), 2016)

Label Aggregation with Instance Grouping Model. - Li'ang Yin; Jianhua Han; Yong Yu 001 (WWW (Companion Volume), 2016)

Aggregating Crowd Wisdoms with Label-aware Autoencoders. - Li'ang Yin; Jianhua Han; Weinan Zhang 001; Yong Yu 001 (IJCAI, 2017)

Aggregating Crowd Wisdom with Side Information via a Clustering-based Label-aware Autoencoder. - Li'ang Yin; Yunfei Liu 002; Weinan Zhang 001; Yong Yu 001 (IJCAI, 2020)

Truth Inference With a Deep Clustering-Based Aggregation Model. - Li'ang Yin; Yunfei Liu 002; Weinan Zhang 001; Yong Yu 001 (IEEE Access, 2020)

Graph Enhanced Hierarchical Reinforcement Learning for Goal-oriented Learning Path Recommendation. - Qingyao Li; Wei Xia 001; Li'ang Yin; Jian Shen 003; Renting Rui; Weinan Zhang 001; Xianyu Chen; Ruiming Tang; Yong Yu 001 (CIKM, 2023)

Privileged Knowledge State Distillation for Reinforcement Learning-based Educational Path Recommendation. - Qingyao Li; Wei Xia 001; Li'ang Yin; Jiarui Jin; Yong Yu 001 (KDD, 2024)

Simulating Question-answering Correctness with a Conditional Diffusion. - Ting Long; Li'ang Yin; Yi Chang 001; Wei Xia 001; Yong Yu 001 (WWW, 2025)