Shengxiang Hu

Orcid: 0000-0002-1510-2478

Affiliations:
  • Shanghai University, School of Computer Engineering and Science, Shanghai, China


According to our database1, Shengxiang Hu authored at least 10 papers between 2020 and 2024.

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Bibliography

2024
Large Language Model Meets Graph Neural Network in Knowledge Distillation.
CoRR, 2024

2023
NCRL: Neighborhood-Based Collaborative Residual Learning for Adaptive QoS Prediction.
IEEE Trans. Serv. Comput., 2023

FHC-DQP: Federated Hierarchical Clustering for Distributed QoS Prediction.
IEEE Trans. Serv. Comput., 2023

Recurrent Transformer for Dynamic Graph Representation Learning with Edge Temporal States.
CoRR, 2023

MVGCL: Multi-View Graph Contrastive Learning for Service Recommendation.
Proceedings of the IEEE International Conference on Web Services, 2023

2022
DeepTSQP: Temporal-aware service QoS prediction via deep neural network and feature integration.
Knowl. Based Syst., 2022

Deep Link-Prediction Based on the Local Structure of Bipartite Networks.
Entropy, 2022

Improving Network Representation Learning via Dynamic Random Walk, Self-Attention and Vertex Attributes-Driven Laplacian Space Optimization.
Entropy, 2022

Temporal-Aware QoS Prediction via Dynamic Graph Neural Collaborative Learning.
Proceedings of the Service-Oriented Computing - 20th International Conference, 2022

2020
Network Representation Learning Based on Topological Structure and Vertex Attributes.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020


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