Guanxiong He

According to our database, Guanxiong He authored at least 12 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• 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

Boosting algorithm framework for ensemble neural networks based on coordinate descent.

Guanxiong He, Sheng Luo, Dengwei Gao, Feiping Nie, Guoxu Li

Inf. Sci., 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

Toward Balance Adaptive Weighted Ensemble Clustering.

Runxin Zhang, Xia Wu, Huimin Chen, Guanxiong He, Zheng Wang, Rong Wang, Feiping Nie

IEEE Trans. Circuits Syst. Video Technol., June, 2025

Manifold-Aligned Consistency Contrastive Learning for Noise-Tolerant Hyperspectral Image Classification.

Jie Wang, Junti Wang, Guanxiong He, Zheng Wang, Rong Wang, Feiping Nie, Xuelong Li

IEEE Trans. Geosci. Remote. Sens., 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

Deep Ensemble Remote Sensing Scene Classification via Category Distribution Association.

Zhenxin He, Guoxu Li, Zheng Wang, Guanxiong He, Hao Yan, Rong Wang

Remote. Sens., 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