Liaoyuan Tang

According to our database, Liaoyuan Tang authored at least 10 papers between 2024 and 2026.

Collaborative distances:

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

2026

Explaining Neural Networks: Hierarchical Backpropagated Ensemble Learning.

Guanxiong He, Zheng Wang, Liaoyuan Tang, Runxin Zhang, Rong Wang, Xuelong Li, Feiping Nie

IEEE Trans. Neural Networks Learn. Syst., April, 2026

Selective-relaxed contrastive learning for hyperspectral image classification with noisy labels.

Jie Wang, Ziang Niu, Zheng Wang, Liaoyuan Tang, Bo Yan, Rong Wang, Feiping Nie

Pattern Recognit., 2026

Towards Federated Clustering: A Client-wise Private Graph Aggregation Framework.

Guanxiong He, Zheng Wang, Jie Wang, Liaoyuan Tang, Rong Wang, Feiping Nie

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

S2-Boost: Synergistic Semantic Boosting for Coarse-to-Fine Ensemble Learning.

Guanxiong He, Zheng Wang, Jie Wang, Liaoyuan Tang, Rong Wang, Feiping Nie

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Towards Federated Clustering: A Client-wise Private Graph Aggregation Framework.

Guanxiong He, Jie Wang, Liaoyuan Tang, Zhen Wang, Rong Wang, Feiping Nie

CoRR, November, 2025

Reweighted-Boosting: A Gradient-Based Boosting Optimization Framework.

Guanxiong He, Zheng Wang, Liaoyuan Tang, Weizhong Yu, Feiping Nie, Xuelong Li

IEEE Trans. Neural Networks Learn. Syst., July, 2025

Self-Supervised Localized Topology Consistency for Noise-Robust Hyperspectral Image Classification.

Jie Wang, Liaoyuan Tang, Guanxiong He, Zhe Cao, Zheng Wang, Rong Wang

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Language Pre-training Guided Masking Representation Learning for Time Series Classification.

Liaoyuan Tang, Zheng Wang, Jie Wang, Guanxiong He, Zhezheng Hao, Rong Wang, Feiping Nie

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

2024

Towards Expansive and Adaptive Hard Negative Mining: Graph Contrastive Learning via Subspace Preserving.

Zhezheng Hao, Haonan Xin, Long Wei, Liaoyuan Tang, Rong Wang, Feiping Nie

Proceedings of the ACM on Web Conference 2024, 2024

Perturbation Guiding Contrastive Representation Learning for Time Series Anomaly Detection.

Liaoyuan Tang, Zheng Wang, Guanxiong He, Rong Wang, Feiping Nie

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024