Tianchi Liao

According to our database, Tianchi Liao authored at least 32 papers between 2022 and 2026.

Collaborative distances:

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

2026

FedBRB: A Solution to the Small-to-Large Scenario in Device-Heterogeneity Federated Learning.

Tianchi Liao, Ziyue Xu, Qing Hu, Hong-Ning Dai, Huaiwei Huang, Zibin Zheng, Chuan Chen

IEEE Trans. Mob. Comput., March, 2026

FedG2: Cross-domain federated graph learning via dual graph matching.

Sheng Huang, Lele Fu, Tianchi Liao, Bowen Deng, Chuanfu Zhang, Chuan Chen

Pattern Recognit., 2026

Credible grouping of heterogeneous clients for personalized federated learning via block-term decomposition.

Tianchi Liao, Siran Zhao, Lele Fu, Sheng Huang, K. Ng Michael, Zibin Zheng, Chuan Chen

Inf. Fusion, 2026

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

ParaAegis: Parallel Protection for Flexible Privacy-preserved Federated Learning.

Zihou Wu, Yuecheng Li, Tianchi Liao, Jian Lou, Chuan Chen

CoRR, September, 2025

Advances in Robust Federated Learning: A Survey With Heterogeneity Considerations.

Chuan Chen, Tianchi Liao, Xiaojun Deng, Zihou Wu, Sheng Huang, Zibin Zheng

IEEE Trans. Big Data, June, 2025

FGTL: Federated Graph Transfer Learning for Node Classification.

Chengyuan Mai, Tianchi Liao, Chuan Chen, Zibin Zheng

ACM Trans. Knowl. Discov. Data, January, 2025

Privacy-Preserving Vertical Federated Learning With Tensor Decomposition for Data Missing Features.

Tianchi Liao, Lele Fu, Lei Zhang, Lei Yang, Chuan Chen, Michael Kwok-Po Ng, Huawei Huang, Zibin Zheng

IEEE Trans. Inf. Forensics Secur., 2025

CoATR: A Convolutional Autoregressive Tensor-Ring decomposition method for sparse spatio-temporal traffic data.

Tianchi Liao, Lei Zhang, Jinghua Yang, Chuan Chen, Zibin Zheng

Neurocomputing, 2025

Unsupervised Federated Graph Learning.

Lele Fu, Tianchi Liao, Sheng Huang, Bowen Deng, Chuanfu Zhang, Shirui Pan, Chuan Chen

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

GLNCD: Graph-Level Novel Category Discovery.

Bowen Deng, Lele Fu, Sheng Huang, Tianchi Liao, Jialong Chen, Tao Zhang, Chuan Chen

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

Federated Domain Generalization with Decision Insight Matrix.

Tianchi Liao, Binghui Xie, Lele Fu, Sheng Huang, Bowen Deng, Chuan Chen, Zibin Zheng

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

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

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

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

Towards Understanding Parametric Generalized Category Discovery on Graphs.

Bowen Deng, Lele Fu, Jialong Chen, Sheng Huang, Tianchi Liao, Zhang Tao, Chuan Chen

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

Robust and Efficient Clustered Federated Learning via Adaptive Self-Expressive Representations for Tackling Data Heterogeneity.

Wenlin Ou, Tianchi Liao, Chuan Chen

Proceedings of the Advanced Intelligent Computing Technology and Applications, 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

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

2024

A neural tensor decomposition model for high-order sparse data recovery.

Tianchi Liao, Jinghua Yang, Chuan Chen, Zibin Zheng

Inf. Sci., February, 2024

Data-free knowledge distillation via generator-free data generation for Non-IID federated learning.

Siran Zhao, Tianchi Liao, Lele Fu, Chuan Chen, Jing Bian, Zibin Zheng

Neural Networks, 2024

Migrate demographic group for fair Graph Neural Networks.

Yanming Hu, Tianchi Liao, Jialong Chen, Jing Bian, Zibin Zheng, Chuan Chen

Neural Networks, 2024

Advances in Robust Federated Learning: Heterogeneity Considerations.

Chuan Chen, Tianchi Liao, Xiaojun Deng, Zihou Wu, Sheng Huang, Zibin Zheng

CoRR, 2024

FedBRB: An Effective Solution to the Small-to-Large Scenario in Device-Heterogeneity Federated Learning.

Ziyue Xu, Mingfeng Xu, Tianchi Liao, Zibin Zheng, Chuan Chen

CoRR, 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

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

FedSeProto: Learning Semantic Prototype in Federated Learning.

Yanyi Lai, Lele Fu, Tianchi Liao, Chuan Chen, Zibin Zheng

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Improving Message-Passing GNNs by Asynchronous Aggregation.

Jialong Chen, Tianchi Liao, Chuan Chen, Zibin Zheng

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Tensor completion via convolutional sparse coding with small samples-based training.

Tianchi Liao, Zhebin Wu, Chuan Chen, Zibin Zheng, Xiongjun Zhang

Pattern Recognit., September, 2023

Tokenized Model: A Blockchain-Empowered Decentralized Model Ownership Verification Platform.

Yihao Li, Yanyi Lai, Tianchi Liao, Chuan Chen, Zibin Zheng

CoRR, 2023

Migrate Demographic Group For Fair GNNs.

Yanming Hu, Tianchi Liao, Jialong Chen, Chuan Chen, Jing Bian, Zibin Zheng

CoRR, 2023

Challenges and Remedies to Privacy and Security in AIGC: Exploring the Potential of Privacy Computing, Blockchain, and Beyond.

Chuan Chen, Zhenpeng Wu, Yanyi Lai, Wenlin Ou, Tianchi Liao, Zibin Zheng

CoRR, 2023

2022

When Digital Economy Meets Web3.0: Applications and Challenges.

Chuan Chen, Lei Zhang, Yihao Li, Tianchi Liao, Siran Zhao, Zibin Zheng, Huawei Huang, Jiajing Wu

IEEE Open J. Comput. Soc., 2022

When Digital Economy Meets Web 3.0: Applications and Challenges.

Chuan Chen, Lei Zhang, Yihao Li, Tianchi Liao, Siran Zhao, Zibin Zheng, Huawei Huang, Jiajing Wu

CoRR, 2022