Guanxiong He

11 papers A* 4Misc 1Journal 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Explaining Neural Networks: Hierarchical Backpropagated Ensemble Learning.
IEEE Trans. Neural Networks Learn. Syst.
Guanxiong He, Zheng Wang, Liaoyuan Tang, Runxin Zhang, Rong Wang, Xuelong Li, Feiping Nie
2026 A* conf
S2-Boost: Synergistic Semantic Boosting for Coarse-to-Fine Ensemble Learning.
AAAI
Guanxiong He, Zheng Wang, Jie Wang, Liaoyuan Tang, Rong Wang, Feiping Nie
2026 A* conf
Towards Federated Clustering: A Client-wise Private Graph Aggregation Framework.
AAAI
Guanxiong He, Zheng Wang, Jie Wang, Liaoyuan Tang, Rong Wang, Feiping Nie
2025 A* conf
Language Pre-training Guided Masking Representation Learning for Time Series Classification.
AAAI
Liaoyuan Tang, Zheng Wang, Jie Wang, Guanxiong He, Zhezheng Hao, Rong Wang, Feiping Nie
2025 J jnl
Manifold-Aligned Consistency Contrastive Learning for Noise-Tolerant Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Jie Wang, Junti Wang, Guanxiong He, Zheng Wang, Rong Wang, Feiping Nie, Xuelong Li
2025 J jnl
Reweighted-Boosting: A Gradient-Based Boosting Optimization Framework.
IEEE Trans. Neural Networks Learn. Syst.
Guanxiong He, Zheng Wang, Liaoyuan Tang, Weizhong Yu, Feiping Nie, Xuelong Li
2025 Misc conf
Self-Supervised Localized Topology Consistency for Noise-Robust Hyperspectral Image Classification.
ICASSP
Jie Wang, Liaoyuan Tang, Guanxiong He, Zhe Cao, Zheng Wang, Rong Wang
2025 J jnl
Toward Balance Adaptive Weighted Ensemble Clustering.
IEEE Trans. Circuits Syst. Video Technol.
Runxin Zhang, Xia Wu, Huimin Chen, Guanxiong He, Zheng Wang, Rong Wang, Feiping Nie
2025 J jnl
Towards Federated Clustering: A Client-wise Private Graph Aggregation Framework.
CoRR
Guanxiong He, Jie Wang, Liaoyuan Tang, Zhen Wang, Rong Wang, Feiping Nie
2024 J jnl
Deep Ensemble Remote Sensing Scene Classification via Category Distribution Association.
Remote. Sens.
Zhenxin He, Guoxu Li, Zheng Wang, Guanxiong He, Hao Yan, Rong Wang
2024 A* conf
Perturbation Guiding Contrastive Representation Learning for Time Series Anomaly Detection.
IJCAI
Liaoyuan Tang, Zheng Wang, Guanxiong He, Rong Wang, Feiping Nie