| 2026 | AAAI | FedLAGC: Towards High Performance System-Heterogeneous Federated Learning via Layer-Adaptive Submodel Extraction and Gradient Correction. | Qing Hu, Tianchi Liao, Shuyi Wu, Lei Yang, Chuan Chen |
| 2025 | AAAI | 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 |
| 2025 | ICML | Towards Understanding Parametric Generalized Category Discovery on Graphs. | Bowen Deng, Lele Fu, Jialong Chen, Sheng Huang, Tianchi Liao, Zhang Tao, Chuan Chen |
| 2025 | ICML | 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 |
| 2025 | IJCAI | 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 |
| 2025 | IJCAI | 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 |
| 2025 | IJCAI | Federated Domain Generalization with Decision Insight Matrix. | Tianchi Liao, Binghui Xie, Lele Fu, Sheng Huang, Bowen Deng, Chuan Chen, Zibin Zheng |
| 2024 | CIKM | Improving Message-Passing GNNs by Asynchronous Aggregation. | Jialong Chen, Tianchi Liao, Chuan Chen, Zibin Zheng |
| 2024 | ECAI | FedSeProto: Learning Semantic Prototype in Federated Learning. | Yanyi Lai, Lele Fu, Tianchi Liao, Chuan Chen, Zibin Zheng |