On Sampling Top-K Recommendation Evaluation. - Dong Li 047; Ruoming Jin; Jing Gao; Zhi Liu (KDD, 2020)

On Estimating Recommendation Evaluation Metrics under Sampling. - Ruoming Jin; Dong Li 047; Benjamin Mudrak; Jing Gao; Zhi Liu (AAAI, 2021)

Towards a Better Understanding of Linear Models for Recommendation. - Ruoming Jin; Dong Li 047; Jing Gao; Zhi Liu; Li Chen; Yang Zhou 001 (KDD, 2021)

Scalable Deep Graph Clustering with Random-walk based Self-supervised Learning. - Xiang Li; Dong Li 047; Ruoming Jin; Gagan Agrawal; Rajiv Ramnath (CoRR, 2021)

Deep Graph Clustering with Random-walk based Scalable Learning. - Xiang Li; Dong Li 047; Ruoming Jin; Rajiv Ramnath; Gagan Agrawal (ASONAM, 2022)

Towards Reliable Item Sampling for Recommendation Evaluation. - Dong Li 047; Ruoming Jin; Zhenming Liu; Bin Ren 002; Jing Gao; Zhi Liu (AAAI, 2023)

On Item-Sampling Evaluation for Recommender System. - Dong Li 047; Ruoming Jin; Zhenming Liu; Bin Ren 002; Jing Gao; Zhi Liu (Trans. Recomm. Syst., 2024)