Haoyu Han

Orcid: 0000-0002-1873-1907

According to our database1, Haoyu Han authored at least 33 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

Mobile Traffic Prediction in Consumer Applications: A Multimodal Deep Learning Approach.
IEEE Trans. Consumer Electron., February, 2024

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

Network simulation tools for unmanned aerial vehicle communications: A survey.
Int. J. Commun. Syst., 2024

ML-based pre-deployment SDN performance prediction with neural network boosting regression.
Expert Syst. Appl., 2024

Unleashing the Power of LLMs as Multi-Modal Encoders for Text and Graph-Structured Data.
CoRR, 2024

Node-wise Filtering in Graph Neural Networks: A Mixture of Experts Approach.
CoRR, 2024

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

Mixture of Link Predictors.
CoRR, 2024

When game theory meets satellite communication networks: A survey.
Comput. Commun., 2024

Multi-controller Placement in Software Defined Satellite Networks: A Meta-heuristic Approach.
Proceedings of the 99th IEEE Vehicular Technology Conference, 2024

On the nonsmooth geometry and neural approximation of the optimal value function of infinite-horizon pendulum swing-up.
Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

DiffCrime: A Multimodal Conditional Diffusion Model for Crime Risk Map Inference.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Structural Fairness-aware Active Learning for Graph Neural Networks.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Label-free Node Classification on Graphs with Large Language Models (LLMs).
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Spectral-Aware Augmentation for Enhanced Graph Representation Learning.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 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

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

Rise of Community-driven Communication Network Research.
Proceedings of the 9th International Conference on Communication and Information Processing, 2023

Matching Games in Satellite-Terrestrial Integrated Networks: Who to Match and How to Match?
Proceedings of the 9th International Conference on Communication and Information Processing, 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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