Tianchi Liao - RankMe

30 papers A* 8A 2Journal 19Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Credible grouping of heterogeneous clients for personalized federated learning via block-term decomposition. Inf. Fusion Tianchi Liao, Siran Zhao, Lele Fu, Sheng Huang, K. Ng Michael, Zibin Zheng, Chuan Chen
2026	J	`jnl`	FedBRB: A Solution to the Small-to-Large Scenario in Device-Heterogeneity Federated Learning. IEEE Trans. Mob. Comput. Tianchi Liao, Ziyue Xu, Qing Hu, Hong-Ning Dai, Huaiwei Huang, Zibin Zheng, Chuan Chen
2026	J	`jnl`	FedG2: Cross-domain federated graph learning via dual graph matching. Pattern Recognit. Sheng Huang, Lele Fu, Tianchi Liao, Bowen Deng, Chuanfu Zhang, Chuan Chen
2026	A*	`conf`	FedLAGC: Towards High Performance System-Heterogeneous Federated Learning via Layer-Adaptive Submodel Extraction and Gradient Correction. AAAI Qing Hu, Tianchi Liao, Shuyi Wu, Lei Yang, Chuan Chen
2025	J	`jnl`	Advances in Robust Federated Learning: A Survey With Heterogeneity Considerations. IEEE Trans. Big Data Chuan Chen, Tianchi Liao, Xiaojun Deng, Zihou Wu, Sheng Huang, Zibin Zheng
2025	A*	`conf`	Beyond Federated Prototype Learning: Learnable Semantic Anchors with Hyperspherical Contrast for Domain-Skewed Data. AAAI Lele Fu, Sheng Huang, Yanyi Lai, Tianchi Liao, Chuanfu Zhang, Chuan Chen
2025	J	`jnl`	CoATR: A Convolutional Autoregressive Tensor-Ring decomposition method for sparse spatio-temporal traffic data. Neurocomputing Tianchi Liao, Lei Zhang, Jinghua Yang, Chuan Chen, Zibin Zheng
2025	J	`jnl`	FGTL: Federated Graph Transfer Learning for Node Classification. ACM Trans. Knowl. Discov. Data Chengyuan Mai, Tianchi Liao, Chuan Chen, Zibin Zheng
2025	A*	`conf`	FedBG: Proactively Mitigating Bias in Cross-Domain Graph Federated Learning Using Background Data. IJCAI Sheng Huang, Lele Fu, Tianchi Liao, Bowen Deng, Chuanfu Zhang, Chuan Chen
2025	A*	`conf`	Federated Domain Generalization with Decision Insight Matrix. IJCAI Tianchi Liao, Binghui Xie, Lele Fu, Sheng Huang, Bowen Deng, Chuan Chen, Zibin Zheng
2025	A*	`conf`	Learn from Global Rather Than Local: Consistent Context-Aware Representation Learning for Multi-View Graph Clustering. IJCAI Lele Fu, Bowen Deng, Sheng Huang, Tianchi Liao, Chuanfu Zhang, Chuan Chen
2025	A*	`conf`	Less is More: Federated Graph Learning with Alleviating Topology Heterogeneity from A Causal Perspective. ICML Lele Fu, Bowen Deng, Sheng Huang, Tianchi Liao, Shirui Pan, Chuan Chen
2025	J	`jnl`	ParaAegis: Parallel Protection for Flexible Privacy-preserved Federated Learning. CoRR Zihou Wu, Yuecheng Li, Tianchi Liao, Jian Lou, Chuan Chen
2025	J	`jnl`	Privacy-Preserving Vertical Federated Learning With Tensor Decomposition for Data Missing Features. IEEE Trans. Inf. Forensics Secur. Tianchi Liao, Lele Fu, Lei Zhang, Lei Yang, Chuan Chen, Michael Kwok-Po Ng, Huawei Huang, Zibin Zheng
2025	—	`conf`	Robust and Efficient Clustered Federated Learning via Adaptive Self-Expressive Representations for Tackling Data Heterogeneity. ICIC (9) Wenlin Ou, Tianchi Liao, Chuan Chen
2025	A*	`conf`	Towards Understanding Parametric Generalized Category Discovery on Graphs. ICML Bowen Deng, Lele Fu, Jialong Chen, Sheng Huang, Tianchi Liao, Zhang Tao, Chuan Chen
2024	A*	`conf`	A Swiss Army Knife for Heterogeneous Federated Learning: Flexible Coupling via Trace Norm. NeurIPS Tianchi Liao, Lele Fu, Jialong Chen, Zhen Wang, Zibin Zheng, Chuan Chen
2024	J	`jnl`	A neural tensor decomposition model for high-order sparse data recovery. Inf. Sci. Tianchi Liao, Jinghua Yang, Chuan Chen, Zibin Zheng
2024	J	`jnl`	Advances in Robust Federated Learning: Heterogeneity Considerations. CoRR Chuan Chen, Tianchi Liao, Xiaojun Deng, Zihou Wu, Sheng Huang, Zibin Zheng
2024	J	`jnl`	Data-free knowledge distillation via generator-free data generation for Non-IID federated learning. Neural Networks Siran Zhao, Tianchi Liao, Lele Fu, Chuan Chen, Jing Bian, Zibin Zheng
2024	J	`jnl`	FedBRB: An Effective Solution to the Small-to-Large Scenario in Device-Heterogeneity Federated Learning. CoRR Ziyue Xu, Mingfeng Xu, Tianchi Liao, Zibin Zheng, Chuan Chen
2024	A	`conf`	FedSeProto: Learning Semantic Prototype in Federated Learning. ECAI Yanyi Lai, Lele Fu, Tianchi Liao, Chuan Chen, Zibin Zheng
2024	A	`conf`	Improving Message-Passing GNNs by Asynchronous Aggregation. CIKM Jialong Chen, Tianchi Liao, Chuan Chen, Zibin Zheng
2024	J	`jnl`	Migrate demographic group for fair Graph Neural Networks. Neural Networks Yanming Hu, Tianchi Liao, Jialong Chen, Jing Bian, Zibin Zheng, Chuan Chen
2023	J	`jnl`	Challenges and Remedies to Privacy and Security in AIGC: Exploring the Potential of Privacy Computing, Blockchain, and Beyond. CoRR Chuan Chen, Zhenpeng Wu, Yanyi Lai, Wenlin Ou, Tianchi Liao, Zibin Zheng
2023	J	`jnl`	Migrate Demographic Group For Fair GNNs. CoRR Yanming Hu, Tianchi Liao, Jialong Chen, Chuan Chen, Jing Bian, Zibin Zheng
2023	J	`jnl`	Tensor completion via convolutional sparse coding with small samples-based training. Pattern Recognit. Tianchi Liao, Zhebin Wu, Chuan Chen, Zibin Zheng, Xiongjun Zhang
2023	J	`jnl`	Tokenized Model: A Blockchain-Empowered Decentralized Model Ownership Verification Platform. CoRR Yihao Li, Yanyi Lai, Tianchi Liao, Chuan Chen, Zibin Zheng
2022	J	`jnl`	When Digital Economy Meets Web 3.0: Applications and Challenges. CoRR Chuan Chen, Lei Zhang, Yihao Li, Tianchi Liao, Siran Zhao, Zibin Zheng, Huawei Huang, Jiajing Wu
2022	J	`jnl`	When Digital Economy Meets Web3.0: Applications and Challenges. IEEE Open J. Comput. Soc. Chuan Chen, Lei Zhang, Yihao Li, Tianchi Liao, Siran Zhao, Zibin Zheng, Huawei Huang, Jiajing Wu