Refined Node Type Graph Convolutional Network for Recommendation. - Wei He; Guohao Sun 001; Jinhu Lu 002; Xiu Fang 001; Guanfeng Liu 001; Jian Yang 001 (ADMA (1), 2023)

A Novel Causal Discovery Model for Recommendation System. - Guohao Sun 001; Huirong Hua; Jinhu Lu 002; Xiu Fang 001 (APWeb/WAIM (4), 2023)

A Three-Layer Attentional Framework Based on Similar Users for Dual-Target Cross-Domain Recommendation. - Jinhu Lu 002; Guohao Sun 001; Xiu Fang 001; Jian Yang 001; Wei He (DASFAA (2), 2023)

A Contrastive Learning Framework for Dual-Target Cross-Domain Recommendation. - Jinhu Lu 002; Guohao Sun 001; Xiu Fang 001; Jian Yang 001; Wei He (ACM Multimedia, 2023)

Candidate-aware Graph Contrastive Learning for Recommendation. - Wei He; Guohao Sun 001; Jinhu Lu 002; Xiu Susie Fang (SIGIR, 2023)

Intent Enhanced Self-supervised Hypergraph Learning for Session-Based Recommendation. - Xiu Susie Fang; Yonggang Wu; Jinhu Lu 002; Xiaoyu Gu; Guohao Sun 001; Yong Zhan (ECML/PKDD (10), 2024)

DELRec: Distilling Sequential Pattern to Enhance LLMs-Based Sequential Recommendation. - Haoyi Zhang; Guohao Sun 001; Jinhu Lu 002; Guanfeng Liu 001; Xiu Susie Fang (ICDE, 2025)

MMCDSR: a Multimodal and Cross-domain Fusion Framework for Sequential Recommendation. - Yitong Xu; Guohao Sun 001; Jinhu Lu 002; Li Yang; Xiu Fang 001; Yanting Zhang (IJCNN, 2025)