Huang, Zhenhao

7 publications

NeurIPS 2025 Deeper with Riemannian Geometry: Overcoming Oversmoothing and Oversquashing for Graph Foundation Models Li Sun, Zhenhao Huang, Ming Zhang, Philip S. Yu

ICML 2025 Tensor Decomposition Based Memory-Efficient Incremental Learning Yuhang Li, Guoxu Zhou, Zhenhao Huang, Xinqi Chen, Yuning Qiu, Qibin Zhao

ICML 2024 LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering Li Sun, Zhenhao Huang, Hao Peng, Yujie Wang, Chunyang Liu, Philip S. Yu

AAAI 2024 Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning Li Sun, Zhenhao Huang, Zixi Wang, Feiyang Wang, Hao Peng, Philip S. Yu

NeurIPS 2024 Spiking Graph Neural Network on Riemannian Manifolds Li Sun, Zhenhao Huang, Qiqi Wan, Hao Peng, Philip S. Yu

AAAI 2024 Towards Multi-Mode Outlier Robust Tensor Ring Decomposition Yuning Qiu, Guoxu Zhou, Andong Wang, Zhenhao Huang, Qibin Zhao

AAAI 2023 InParformer: Evolutionary Decomposition Transformers with Interactive Parallel Attention for Long-Term Time Series Forecasting Haizhou Cao, Zhenhao Huang, Tiechui Yao, Jue Wang, Hui He, Yangang Wang