Jiaming Zhuo

According to our database, Jiaming Zhuo authored at least 11 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Source-Free Graph Foundation Model Adaptation via Pseudo-Source Reconstruction.

Liang Yang, Hui Ning, Jiaming Zhuo, Ziyi Ma, Chuan Wang, Wenning Wu, Zhen Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

A Closer Look at Graph Transformers: Cross-Aggregation and Beyond.

Jiaming Zhuo, Ziyi Ma, Yintong Lu, Yuwei Liu, Kun Fu, Di Jin, Chuan Wang, Wenning Wu, Zhen Wang, Xiaochun Cao, Liang Yang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Universal Graph Self-Contrastive Learning.

Liang Yang, Yukun Cai, Hui Ning, Jiaming Zhuo, Di Jin, Ziyi Ma, Yuanfang Guo, Chuan Wang, Zhen Wang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Do We Really Need Message Passing in Brain Network Modeling?

Liang Yang, Yuwei Liu, Jiaming Zhuo, Di Jin, Chuan Wang, Zhen Wang, Xiaochun Cao

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Disentangled Graph Spectral Domain Adaptation.

Liang Yang, Xin Chen, Jiaming Zhuo, Di Jin, Chuan Wang, Xiaochun Cao, Zhen Wang, Yuanfang Guo

Proceedings of the Forty-second International Conference on Machine Learning, 2025

DUALFormer: Dual Graph Transformer.

Jiaming Zhuo, Yuwei Liu, Yintong Lu, Ziyi Ma, Kun Fu, Chuan Wang, Yuanfang Guo, Zhen Wang, Xiaochun Cao, Liang Yang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Graph Contrastive Learning with Joint Spectral Augmentation of Attribute and Topology.

Liang Yang, Zhenna Li, Jiaming Zhuo, Jing Liu, Ziyi Ma, Chuan Wang, Zhen Wang, Xiaochun Cao

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Graph Contrastive Learning Reimagined: Exploring Universality.

Jiaming Zhuo, Can Cui, Kun Fu, Bingxin Niu, Dongxiao He, Chuan Wang, Yuanfang Guo, Zhen Wang, Xiaochun Cao, Liang Yang

Proceedings of the ACM on Web Conference 2024, 2024

Unified Graph Augmentations for Generalized Contrastive Learning on Graphs.

Jiaming Zhuo, Yintong Lu, Hui Ning, Kun Fu, Bingxin Niu, Dongxiao He, Chuan Wang, Yuanfang Guo, Zhen Wang, Xiaochun Cao, Liang Yang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Improving Graph Contrastive Learning via Adaptive Positive Sampling.

Jiaming Zhuo, Feiyang Qin, Can Cui, Kun Fu, Bingxin Niu, Mengzhu Wang, Yuanfang Guo, Chuan Wang, Zhen Wang, Xiaochun Cao, Liang Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Propagation is All You Need: A New Framework for Representation Learning and Classifier Training on Graphs.

Jiaming Zhuo, Can Cui, Kun Fu, Bingxin Niu, Dongxiao He, Yuanfang Guo, Zhen Wang, Chuan Wang, Xiaochun Cao, Liang Yang

Proceedings of the 31st ACM International Conference on Multimedia, 2023