Mingkai He

11 papers A* 1A 2Journal 7Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Dual-stage scoring via task decoupling and fine-grained preference learning for side-information integrated sequential recommendation.
Knowl. Inf. Syst.
Xiaolin Lin, Jinwei Luo, Mingkai He, Weike Pan, Zhong Ming
2023 J jnl
BGNN: Behavior-aware graph neural network for heterogeneous session-based recommendation.
Frontiers Comput. Sci.
Jinwei Luo, Mingkai He, Weike Pan, Zhong Ming
2023 J jnl
Collaborative filtering with sequential implicit feedback via learning users' preferences over item-sets.
Inf. Sci.
Jing Lin, Mingkai He, Weike Pan, Zhong Ming
2023 J jnl
FLAG: A Feedback-aware Local and Global Model for Heterogeneous Sequential Recommendation.
ACM Trans. Intell. Syst. Technol.
Mingkai He, Jing Lin, Jinwei Luo, Weike Pan, Zhong Ming
2022 J jnl
BAR: Behavior-aware recommendation for sequential heterogeneous one-class collaborative filtering.
Inf. Sci.
Mingkai He, Weike Pan, Zhong Ming
2022 A conf
Dual-Task Learning for Multi-Behavior Sequential Recommendation.
CIKM
Jinwei Luo, Mingkai He, Xiaolin Lin, Weike Pan, Zhong Ming
2022 A conf
Global and Personalized Graphs for Heterogeneous Sequential Recommendation by Learning Behavior Transitions and User Intentions.
RecSys
Weixin Chen, Mingkai He, Yongxin Ni, Weike Pan, Li Chen, Zhong Ming
2022 J jnl
TransRec++: Translation-based sequential recommendation with heterogeneous feedback.
Frontiers Comput. Sci.
Zhuoxin Zhan, Mingkai He, Weike Pan, Zhong Ming
2022 A* conf
User-Event Graph Embedding Learning for Context-Aware Recommendation.
KDD
Dugang Liu, Mingkai He, Jinwei Luo, Jiangxu Lin, Meng Wang, Xiaolian Zhang, Weike Pan, Zhong Ming
2021 J jnl
Graph4Rec: A Universal Toolkit with Graph Neural Networks for Recommender Systems.
CoRR
Weibin Li, Mingkai He, Zhengjie Huang, Xianming Wang, Shikun Feng, Weiyue Su, Yu Sun
2018 — conf
Ensemble Clustering by Noise-Aware Graph Decomposition.
ICIT
Man-Sheng Chen, Dong Huang, Mingkai He, Chang-Dong Wang