Propagation is All You Need: A New Framework for Representation Learning and Classifier Training on Graphs. - Jiaming Zhuo; Can Cui 005; Kun Fu; Bingxin Niu; Dongxiao He; Yuanfang Guo; Zhen Wang 004; Chuan Wang 002; Xiaochun Cao; Liang Yang 002 (ACM Multimedia, 2023)

Improving Graph Contrastive Learning via Adaptive Positive Sampling. - Jiaming Zhuo; Feiyang Qin; Can Cui 005; Kun Fu; Bingxin Niu; Mengzhu Wang; Yuanfang Guo; Chuan Wang 002; Zhen Wang 004; Xiaochun Cao; Liang Yang 002 (CVPR, 2024)

Unified Graph Augmentations for Generalized Contrastive Learning on Graphs. - Jiaming Zhuo; Yintong Lu; Hui Ning; Kun Fu; Bingxin Niu; Dongxiao He; Chuan Wang 002; Yuanfang Guo; Zhen Wang 004; Xiaochun Cao; Liang Yang 002 (NeurIPS, 2024)

Graph Contrastive Learning Reimagined: Exploring Universality. - Jiaming Zhuo; Can Cui 005; Kun Fu; Bingxin Niu; Dongxiao He; Chuan Wang 002; Yuanfang Guo; Zhen Wang 004; Xiaochun Cao; Liang Yang 002 (WWW, 2024)

Graph Contrastive Learning with Joint Spectral Augmentation of Attribute and Topology. - Liang Yang 002; Zhenna Li; Jiaming Zhuo; Jing Liu; Ziyi Ma; Chuan Wang 002; Zhen Wang 004; Xiaochun Cao (AAAI, 2025)

DUALFormer: Dual Graph Transformer. - Jiaming Zhuo; Yuwei Liu; Yintong Lu; Ziyi Ma; Kun Fu; Chuan Wang 002; Yuanfang Guo; Zhen Wang 004; Xiaochun Cao; Liang Yang 002 (ICLR, 2025)