Zhenhao Huang

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2025

RiemannGFM: Learning a Graph Foundation Model from Riemannian Geometry.

[BibT_eX]

[DOI]

CoRR, February, 2025

Unifying complete and incomplete multi-view clustering through an information-theoretic generative model.

[BibT_eX]

[DOI]

Neural Networks, 2025

2024

Coded Caching Scheme for Partially Connected Linear Networks via Multi-Antenna Placement Delivery Array.

[BibT_eX]

[DOI]

IEEE Trans. Commun., December, 2024

Coded Computing for Half-Duplex Wireless Distributed Computing Systems via Interference Alignment.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., November, 2024

Economical Electric Vehicle Charging Scheduling via Deep Imitation Learning.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., November, 2024

Bayesian Robust Tensor Ring Decomposition for Incomplete Multiway Data.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., July, 2024

A Hybrid Approach for Home Energy Management With Imitation Learning and Online Optimization.

[BibT_eX]

[DOI]

Shuhua Gao

Raiyan bin Zulkifli Lee

IEEE Trans. Ind. Informatics, March, 2024

Tensor-Decomposition-Based Unified Representation Learning From Distinct Data Sources For Crater Detection.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2024

On Decentralized Linearly Separable Computation With the Minimum Computation Cost.

[BibT_eX]

[DOI]

CoRR, 2024

RicciNet: Deep Clustering via A Riemannian Generative Model.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

Spiking Graph Neural Network on Riemannian Manifolds.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

On Decentralized Linearly Separable Computation With the Minimum Computation Cost.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2024

LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Towards Multi-Mode Outlier Robust Tensor Ring Decomposition.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

FuAlign: Cross-lingual entity alignment via multi-view representation learning of fused knowledge graphs.

[BibT_eX]

[DOI]

Inf. Fusion, 2023

Secure Gradient Aggregation for Wireless Multi-Server Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2023

DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

InParformer: Evolutionary Decomposition Transformers with Interactive Parallel Attention for Long-Term Time Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Efficient Tensor Robust PCA Under Hybrid Model of Tucker and Tensor Train.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2022

Multi-Aspect Streaming Tensor Ring Completion for Dynamic Incremental Data.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2022

A dynamic hypergraph regularized non-negative tucker decomposition framework for multiway data analysis.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2022

AEP: Aligning knowledge graphs via embedding propagation.

[BibT_eX]

[DOI]

Neurocomputing, 2022

Coded Caching for Broadcast Networks with User Cooperation.

[BibT_eX]

[DOI]

Entropy, 2022

Bayesian Robust Tensor Ring Model for Incomplete Multiway Data.

[BibT_eX]

[DOI]

Zhenhao Huang

Guoxu Zhou

Yuning Qiu

CoRR, 2022

2020

Measuring the Semantic Stability of Word Embedding.

[BibT_eX]

[DOI]

Zhenhao Huang

Chenxu Wang

Proceedings of the Natural Language Processing and Chinese Computing, 2020

Zhenhao Huang

Bibliography

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