Haoyu Han

Orcid: 0000-0002-2529-6042

According to our database1, Haoyu Han authored at least 21 papers between 2019 and 2024.

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Bibliography

2024
Federated split learning for sequential data in satellite-terrestrial integrated networks.
Inf. Fusion, March, 2024

DelvMap: Completing Residential Roads in Maps Based on Couriers' Trajectories and Satellite Imagery.
IEEE Trans. Geosci. Remote. Sens., 2024

Enhancing ID and Text Fusion via Alternative Training in Session-based Recommendation.
CoRR, 2024

Mixture of Link Predictors.
CoRR, 2024

2023
Drag-A-Video: Non-rigid Video Editing with Point-based Interaction.
CoRR, 2023

Augment with Care: Enhancing Graph Contrastive Learning with Selective Spectrum Perturbation.
CoRR, 2023

Label-free Node Classification on Graphs with Large Language Models (LLMS).
CoRR, 2023

Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation.
CoRR, 2023

Drought Level Prediction Based on Meteorological Data and Deep Learning.
Proceedings of the 20th Annual IEEE International Conference on Sensing, 2023

Satellite Internet of Things for Smart Agriculture Applications: A Case Study of Computer Vision.
Proceedings of the 20th Annual IEEE International Conference on Sensing, 2023

Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Label Position Bias in Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Large-Scale Graph Neural Networks: The Past and New Frontiers.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Enhancing Graph Representations Learning with Decorrelated Propagation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation.
Proceedings of the International Conference on Machine Learning, 2023

Alternately Optimized Graph Neural Networks.
Proceedings of the International Conference on Machine Learning, 2023

Machine Learning-based Multi-Class Traffic Management for Smart Grid Communication Network.
Proceedings of the Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing, 2023

2022
Alternately Optimized Graph Neural Networks.
CoRR, 2022

2020
STGCN: A Spatial-Temporal Aware Graph Learning Method for POI Recommendation.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019
Constructing Educational Concept Maps with Multiple Relationships from Multi-Source Data.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019


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