Ensemble Clustering by Noise-Aware Graph Decomposition. - Man-Sheng Chen; Dong Huang 001; Mingkai He; Chang-Dong Wang 001 (ICIT, 2018)

Graph4Rec: A Universal Toolkit with Graph Neural Networks for Recommender Systems. - Weibin Li; Mingkai He; Zhengjie Huang; Xianming Wang; Shikun Feng; Weiyue Su; Yu Sun 029 (CoRR, 2021)

Dual-Task Learning for Multi-Behavior Sequential Recommendation. - Jinwei Luo; Mingkai He; Xiaolin Lin; Weike Pan; Zhong Ming 001 (CIKM, 2022)

User-Event Graph Embedding Learning for Context-Aware Recommendation. - Dugang Liu; Mingkai He; Jinwei Luo; Jiangxu Lin; Meng Wang 009; Xiaolian Zhang; Weike Pan; Zhong Ming 001 (KDD, 2022)

Global and Personalized Graphs for Heterogeneous Sequential Recommendation by Learning Behavior Transitions and User Intentions. - Weixin Chen; Mingkai He; Yongxin Ni; Weike Pan; Li Chen 009; Zhong Ming 001 (RecSys, 2022)

TransRec++: Translation-based sequential recommendation with heterogeneous feedback. - Zhuoxin Zhan; Mingkai He; Weike Pan; Zhong Ming 001 (Frontiers Comput. Sci., 2022)

BAR: Behavior-aware recommendation for sequential heterogeneous one-class collaborative filtering. - Mingkai He; Weike Pan; Zhong Ming 001 (Inf. Sci., 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)

BGNN: Behavior-aware graph neural network for heterogeneous session-based recommendation. - Jinwei Luo; Mingkai He; Weike Pan; Zhong Ming 001 (Frontiers Comput. Sci., 2023)