Co-contrastive Learning for Multi-behavior Recommendation. - Qingfeng Li 001; Huifang Ma; Ruoyi Zhang; Wangyu Jin; Zhixin Li 001 (PRICAI (3), 2022)

Intra- and Inter-behavior Contrastive Learning for Multi-behavior Recommendation. - Qingfeng Li 001; Huifang Ma; Ruoyi Zhang; Wangyu Jin; Zhixin Li 001 (DASFAA (2), 2023)

Dual-view co-contrastive learning for multi-behavior recommendation. - Qingfeng Li 001; Huifang Ma; Ruoyi Zhang; Wangyu Jin; Zhixin Li 001 (Appl. Intell., 2023)

Dual-scale Contrastive Learning for multi-behavior recommendation. - Qingfeng Li 001; Huifang Ma; Ruoyi Zhang; Wangyu Jin; Zhixin Li 001 (Appl. Soft Comput., 2023)

Beyond Homophily: Attributed Graph Anomaly Detection via Heterophily-Aware Contrastive Learning Network. - Wangyu Jin; Huifang Ma; Yingyue Zhang; Zhixin Li; Liang Chang (ICANN (5), 2024)

Multi-Interest Network with Simple Diffusion for Multi-Behavior Sequential Recommendation. - Qingfeng Li 001; Huifang Ma; Wangyu Jin; Yugang Ji; Zhixin Li 001 (SDM, 2024)

Multi-view discriminative edge heterophily contrastive learning network for attributed graph anomaly detection. - Wangyu Jin; Huifang Ma; Yingyue Zhang; Zhixin Li 001; Liang Chang 003 (Expert Syst. Appl., 2024)

Hypergraph-enhanced multi-interest learning for multi-behavior sequential recommendation. - Qingfeng Li 001; Huifang Ma; Wangyu Jin; Yugang Ji; Zhixin Li 001 (Expert Syst. Appl., 2024)

Dual-view graph-of-graph representation learning with graph Transformer for graph-level anomaly detection. - Wangyu Jin; Huifang Ma; Yingyue Zhang; Zhixin Li 001; Liang Chang 003 (Neural Networks, 2025)