A greedy-based approach of fast transaction broadcasting in bitcoin networks. - Haonan Zhang 004; Chen Feng 007; Xinbing Wang (ACM TUR-C, 2019)

Disentangled Graph Contrastive Learning for Review-based Recommendation. - Yuyang Ren; Haonan Zhang 004; Qi Li; Luoyi Fu; Jiaxin Ding 001; Xinde Cao; Xinbing Wang; Chenghu Zhou (CoRR, 2022)

Self-supervised Graph Disentangled Networks for Review-based Recommendation. - Yuyang Ren; Haonan Zhang 004; Qi Li; Luoyi Fu; Xinbing Wang; Chenghu Zhou (IJCAI, 2023)

Distillation-Enhanced Graph Masked Autoencoders for Bundle Recommendation. - Yuyang Ren; Haonan Zhang 004; Luoyi Fu; Xinbing Wang; Chenghu Zhou (SIGIR, 2023)

Maximizing the Spread of Effective Information in Social Networks. - Haonan Zhang 004; Luoyi Fu; Jiaxin Ding 001; Feilong Tang 001; Yao Xiao; Xinbing Wang; Guihai Chen; Chenghu Zhou (IEEE Trans. Knowl. Data Eng., 2023)

Ada-MIP: Adaptive Self-supervised Graph Representation Learning via Mutual Information and Proximity Optimization. - Yuyang Ren; Haonan Zhang 004; Peng Yu; Luoyi Fu; Xinde Cao; Xinbing Wang; Guihai Chen; Fei Long; Chenghu Zhou (ACM Trans. Knowl. Discov. Data, 2023)

Multi-Scale Self-Supervised Graph Contrastive Learning With Injective Node Augmentation. - Haonan Zhang 004; Yuyang Ren; Luoyi Fu; Xinbing Wang; Guihai Chen; Chenghu Zhou (IEEE Trans. Knowl. Data Eng., 2024)

Hi-PART: Going Beyond Graph Pooling with Hierarchical Partition Tree for Graph-Level Representation Learning. - Yuyang Ren; Haonan Zhang 004; Luoyi Fu; Shiyu Liang; Lei Zhou 016; Xinbing Wang; Xinde Cao; Fei Long; Chenghu Zhou (ACM Trans. Knowl. Discov. Data, 2024)