Shengxiang Hu

Orcid: 0000-0002-1510-2478

According to our database1, Shengxiang Hu authored at least 15 papers between 2015 and 2024.

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Bibliography

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

Enhanced Fine-Grained Motion Diffusion for Text-Driven Human Motion Synthesis.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 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

Understanding Text-driven Motion Synthesis with Keyframe Collaboration via Diffusion Models.
CoRR, 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

Human Joint Kinematics Diffusion-Refinement for Stochastic Motion Prediction.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 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

2021
Correlation Filters with Pre-position by Reconstruction Error for Visual Tracking.
Proceedings of the ICMIP 2021: 6th International Conference on Multimedia and Image Processing, Zhuhai, China, 8 January, 2021, 2021

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

2015
Decomposition-based modeling algorithm by CCA-PLS for large scale processes.
Proceedings of the American Control Conference, 2015


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