Liao, Tianchi

10 publications

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

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

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

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