Chen, Chuan

20 publications

ICLR 2026 Rethinking the Gold Standard: Why Discrete Curvature Fails to Fully Capture Over-Squashing in GNNs? Jialong Chen, Bowen Deng, Zibin Zheng, Chuan Chen

AAAI 2025 Beyond Federated Prototype Learning: Learnable Semantic Anchors with Hyperspherical Contrast for Domain-Skewed Data Lele Fu, Sheng Huang, Yanyi Lai, Tianchi Liao, Chuanfu Zhang, Chuan Chen

ICML 2025 Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-Off Yuecheng Li, Lele Fu, Tong Wang, Jian Lou, Bin Chen, Lei Yang, Jian Shen, Zibin Zheng, Chuan Chen

IJCAI 2025 FedBG: Proactively Mitigating Bias in Cross-Domain Graph Federated Learning Using Background Data Sheng Huang, Lele Fu, Tianchi Liao, Bowen Deng, Chuanfu Zhang, Chuan Chen

IJCAI 2025 Federated Domain Generalization with Decision Insight Matrix Tianchi Liao, Binghui Xie, Lele Fu, Sheng Huang, Bowen Deng, Chuan Chen, Zibin Zheng

NeurIPS 2025 GLNCD: Graph-Level Novel Category Discovery Bowen Deng, Lele Fu, Sheng Huang, Tianchi Liao, Jialong Chen, Zhang Tao, Chuan Chen

ICLR 2025 Graph Neural Ricci Flow: Evolving Feature from a Curvature Perspective Jialong Chen, Bowen Deng, Zhen Wang, Chuan Chen, Zibin Zheng

IJCAI 2025 Learn from Global Rather than Local: Consistent Context-Aware Representation Learning for Multi-View Graph Clustering Lele Fu, Bowen Deng, Sheng Huang, Tianchi Liao, Chuanfu Zhang, Chuan Chen

ICML 2025 Less Is More: Federated Graph Learning with Alleviating Topology Heterogeneity from a Causal Perspective Lele Fu, Bowen Deng, Sheng Huang, Tianchi Liao, Shirui Pan, Chuan Chen

NeurIPS 2025 Self-Assembling Graph Perceptrons Jialong Chen, Tong Wang, Bowen Deng, Luonan Chen, Zibin Zheng, Chuan Chen

NeurIPS 2025 Soft-Consensual Federated Learning for Data Heterogeneity via Multiple Paths Sheng Huang, Lele Fu, Fanghua Ye, Tianchi Liao, Bowen Deng, Zhangchuanfu, Chuan Chen

AAAI 2025 THESAURUS: Contrastive Graph Clustering by Swapping Fused Gromov-Wasserstein Couplings Bowen Deng, Tong Wang, Lele Fu, Sheng Huang, Chuan Chen, Tao Zhang

ICML 2025 Towards Understanding Parametric Generalized Category Discovery on Graphs Bowen Deng, Lele Fu, Jialong Chen, Sheng Huang, Tianchi Liao, Zhang Tao, Chuan Chen

NeurIPS 2025 Unsupervised Federated Graph Learning Lele Fu, Tianchi Liao, Sheng Huang, Bowen Deng, Zhangchuanfu, Shirui Pan, Chuan Chen

NeurIPS 2024 A Swiss Army Knife for Heterogeneous Federated Learning: Flexible Coupling via Trace Norm Tianchi Liao, Lele Fu, Jialong Chen, Zhen Wang, Zibin Zheng, Chuan Chen

ICMLW 2024 EquiTorch: A Modularized Package for Flexibly Constructing Equivariant GNNs Building upon PyTorch-Geometric Tong Wang, Chuan Chen

IJCAI 2019 Dynamically Route Hierarchical Structure Representation to Attentive Capsule for Text Classification Wanshan Zheng, Zibin Zheng, Hai Wan, Chuan Chen

AAAI 2019 Tensor Decomposition for Multilayer Networks Clustering Zitai Chen, Chuan Chen, Zibin Zheng, Yi Zhu

IJCAI 2019 Variational Graph Embedding and Clustering with Laplacian Eigenmaps Zitai Chen, Chuan Chen, Zong Zhang, Zibin Zheng, Qingsong Zou

ICML 2018 Learning Semantic Representations for Unsupervised Domain Adaptation Shaoan Xie, Zibin Zheng, Liang Chen, Chuan Chen