OR-AutoRec: An Outlier-Resilient Autoencoder-based Recommendation model. - Yuanpeng Hu; Xianmin Wang; Cheng Liang 003; Jing Li 045; Di Wu 056; Yi He 007 (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

AutoRec++: Incorporating Debias Methods into Autoencoder-based Recommender System. - Cheng Liang 003; Yi He 007; Teng Huang 001; Di Wu 056 (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

Multi-Metric AutoRec for High Dimensional and Sparse User Behavior Data Prediction. - Cheng Liang 003; Teng Huang 001; Yi He 007; Song Deng; Di Wu 056; Xin Luo 001 (CoRR, 2022)

MMA: Multi-Metric-Autoencoder for Analyzing High-Dimensional and Incomplete Data. - Cheng Liang 003; Di Wu 056; Yi He 007; Teng Huang 001; Zhong Chen 003; Xin Luo 001 (ECML/PKDD (5), 2023)

A Debiasing Autoencoder for Recommender System. - Teng Huang 001; Cheng Liang 003; Di Wu 056; Yi He 007 (IEEE Trans. Consumer Electron., 2024)