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)

Cascaded Cross Attention for Review-based Sequential Recommendation. - Bingsen Huang; Jinwei Luo; Weihao Du; Weike Pan; Zhong Ming 001 (ICDM, 2023)

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)

KDCRec: Knowledge Distillation for Counterfactual Recommendation via Uniform Data. - Dugang Liu; Pengxiang Cheng 002; Zinan Lin 004; Jinwei Luo; Zhenhua Dong; Xiuqiang He 001; Weike Pan; Zhong Ming 001 (IEEE Trans. Knowl. Data Eng., 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)

Multi-Sequence Attentive User Representation Learning for Side-information Integrated Sequential Recommendation. - Xiaolin Lin; Jinwei Luo; Junwei Pan; Weike Pan; Zhong Ming 001; Xun Liu; Shudong Huang; Jie Jiang 015 (WSDM, 2024)

Sample Enrichment via Temporary Operations on Subsequences for Sequential Recommendation. - Shu Chen 002; Jinwei Luo; Weike Pan; Jiangxing Yu; Xin Huang; Zhong Ming 001 (CoRR, 2024)

Iterative Sparse Attention for Long-sequence Recommendation. - Guanyu Lin; Jinwei Luo; Yinfeng Li; Chen Gao 001; Qun Luo; Depeng Jin (AAAI, 2025)