Li'ang Yin

12 papers A* 5A 2C 2Journal 1Unranked 2
YearRankTypeTitle / Venue / Authors
2025 A* conf
Simulating Question-answering Correctness with a Conditional Diffusion.
WWW
Ting Long, Li'ang Yin, Yi Chang, Wei Xia, Yong Yu
2024 A* conf
Privileged Knowledge State Distillation for Reinforcement Learning-based Educational Path Recommendation.
KDD
Qingyao Li, Wei Xia, Li'ang Yin, Jiarui Jin, Yong Yu
2023 A conf
Graph Enhanced Hierarchical Reinforcement Learning for Goal-oriented Learning Path Recommendation.
CIKM
Qingyao Li, Wei Xia, Li'ang Yin, Jian Shen, Renting Rui, Weinan Zhang, Xianyu Chen, Ruiming Tang, Yong Yu
2020 A* conf
Aggregating Crowd Wisdom with Side Information via a Clustering-based Label-aware Autoencoder.
IJCAI
Li'ang Yin, Yunfei Liu, Weinan Zhang, Yong Yu
2020 J jnl
Truth Inference With a Deep Clustering-Based Aggregation Model.
IEEE Access
Li'ang Yin, Yunfei Liu, Weinan Zhang, Yong Yu
2017 A* conf
Aggregating Crowd Wisdoms with Label-aware Autoencoders.
IJCAI
Li'ang Yin, Jianhua Han, Weinan Zhang, Yong Yu
2016 — conf
Aggregating Crowd Wisdom with Instance Grouping Methods.
APWeb (1)
Li'ang Yin, Zhengbo Li, Jianhua Han, Yong Yu
2016 — conf
Label Aggregation with Instance Grouping Model.
WWW (Companion Volume)
Li'ang Yin, Jianhua Han, Yong Yu
2014 A* conf
LorSLIM: Low Rank Sparse Linear Methods for Top-N Recommendations.
ICDM
Yao Cheng, Li'ang Yin, Yong Yu
2013 A conf
Set-oriented personalized ranking for diversified top-n recommendation.
RecSys
Ruilong Su, Li'ang Yin, Kailong Chen, Yong Yu
2012 C conf
Collaborative Filtering via Temporal Euclidean Embedding.
APWeb
Li'ang Yin, Yongqiang Wang, Yong Yu
2012 C conf
Learning to Recommend Based on Slope One Strategy.
APWeb
Yongqiang Wang, Li'ang Yin, Bing Cheng, Yong Yu