MF-DMPC: Matrix Factorization with Dual Multiclass Preference Context for Rating Prediction. - Jing Lin 008; Weike Pan; Zhong Ming 001 (ICWS, 2018)

Neighborhood-enhanced transfer learning for one-class collaborative filtering. - Wanling Cai; Jiongbin Zheng; Weike Pan; Jing Lin 008; Lin Li 039; Li Chen 009; Xiaogang Peng; Zhong Ming 001 (Neurocomputing, 2019)

Sequence-Aware Factored Mixed Similarity Model for Next-Item Recommendation. - Liulan Zhong; Jing Lin 008; Weike Pan; Zhong Ming 001 (BigComp, 2020)

FISSA: Fusing Item Similarity Models with Self-Attention Networks for Sequential Recommendation. - Jing Lin 008; Weike Pan; Zhong Ming 001 (RecSys, 2020)

Matrix factorization with heterogeneous multiclass preference context. - Jing Lin 008; Weike Pan; Lin Li 039; Zixiang Chen; Zhong Ming 001 (Neurocomputing, 2020)

Next-Item Recommendation via Collaborative Filtering with Bidirectional Item Similarity. - Zijie Zeng; Jing Lin 008; Lin Li 039; Weike Pan; Zhong Ming 001 (ACM Trans. Inf. Syst., 2020)

Sequence-aware similarity learning for next-item recommendation. - Zhuoxin Zhan; Liulan Zhong; Jing Lin 008; Weike Pan; Zhong Ming 001 (J. Supercomput., 2021)

PAS: A Position-Aware Similarity Measurement for Sequential Recommendation. - Zijie Zeng; Jing Lin 008; Weike Pan; Zhong Ming 001; Zhongqi Lu (IJCNN, 2022)

FLAG: A Feedback-aware Local and Global Model for Heterogeneous Sequential Recommendation. - Mingkai He; Jing Lin 008; Jinwei Luo; Weike Pan; Zhong Ming 001 (ACM Trans. Intell. Syst. Technol., 2023)

Collaborative filtering with sequential implicit feedback via learning users' preferences over item-sets. - Jing Lin 008; Mingkai He; Weike Pan; Zhong Ming 001 (Inf. Sci., 2023)