Xiaobin Hong

Orcid: 0000-0001-8019-0075

Affiliations:

Nanjing University, Key Laboratory for Novel Software Technology, Nanjing, China

According to our database¹, Xiaobin Hong authored at least 20 papers between 2020 and 2025.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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Bibliography

2025

Pets: General Pattern Assisted Architecture For Time Series Analysis.

[BibT_eX]

[DOI]

CoRR, April, 2025

Unify and Anchor: A Context-Aware Transformer for Cross-Domain Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, March, 2025

MagNet: Multilevel Dynamic Wavelet Graph Neural Network for Multivariate Time Series Classification.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, January, 2025

Unlock the Power of Unlabeled Data in Language Driving Model.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

Semantic-Supervised Spatial-Temporal Fusion for LiDAR-Based 3D Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

Contextual Structure Knowledge Transfer for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Unified Graph Neural Networks Pre-training for Multi-domain Graphs.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Global-Semantic Alignment Distillation for Partial Multi-view Classification.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Knowledge distillation-driven semi-supervised multi-view classification.

[BibT_eX]

[DOI]

Inf. Fusion, March, 2024

UTSD: Unified Time Series Diffusion Model.

[BibT_eX]

[DOI]

CoRR, 2024

A Wave is Worth 100 Words: Investigating Cross-Domain Transferability in Time Series.

[BibT_eX]

[DOI]

CoRR, 2024

GCoder: Improving Large Language Model for Generalized Graph Problem Solving.

[BibT_eX]

[DOI]

CoRR, 2024

Scalable Multi-Source Pre-training for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

TS3Net: Triple Decomposition with Spectrum Gradient for Long-Term Time Series Analysis.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Label Attentive Distillation for GNN-Based Graph Classification.

[BibT_eX]

[DOI]

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

2021

Variational Gridded Graph Convolution Network for Node Classification.

[BibT_eX]

[DOI]

IEEE CAA J. Autom. Sinica, 2021

Graph Game Embedding.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Fast Hyper-walk Gridded Convolution on Graph.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Computer Vision - Third Chinese Conference, 2020

Graph inference learning for semi-supervised classification.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Graph Wasserstein Correlation Analysis for Movie Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Xiaobin Hong

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