Shengxiang Hu

According to our database, Shengxiang Hu authored at least 16 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Dynamic bipartite network model based on structure and preference features.

Hehe Lv, Guobing Zou, Bofeng Zhang, Shengxiang Hu, Chenyang Zhou, Liangrui Wu

Knowl. Inf. Syst., August, 2024

FRLN: Federated Residual Ladder Network for Data-Protected QoS Prediction.

Guobing Zou, Wenzhuo Yu, Shengxiang Hu, Yanglan Gan, Bofeng Zhang, Yixin Chen

IEEE Trans. Serv. Comput., 2024

Target-Prompt Online Graph Collaborative Learning for Temporal QoS Prediction.

Shengxiang Hu, Guobing Zou, Song Yang, Shiyi Lin, Bofeng Zhang, Yixin Chen

CoRR, 2024

Large Language Model Meets Graph Neural Network in Knowledge Distillation.

Shengxiang Hu, Guobing Zou, Song Yang, Yanglan Gan, Bofeng Zhang, Yixin Chen

CoRR, 2024

Dual-Graph Convolutional Network and Dual-View Fusion for Group Recommendation.

Chenyang Zhou, Guobing Zou, Shengxiang Hu, Hehe Lv, Liangrui Wu, Bofeng Zhang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

User Profiling for Personalized Service Recommendation with Dual High-order Feature Learning.

Guobing Zou, Liangrui Wu, Shengxiang Hu, Song Yang, Chenyang Zhou, Yanglan Gan, Bofeng Zhang

Proceedings of the IEEE International Conference on Web Services, 2024

TEDC: Temporal-aware Edge Data Caching with Specified Latency Preference.

Guobing Zou, Ya Liu, Song Yang, Shengxiang Hu, Yanglan Gan, Bofeng Zhang

Proceedings of the IEEE International Conference on Web Services, 2024

2023

NCRL: Neighborhood-Based Collaborative Residual Learning for Adaptive QoS Prediction.

Guobing Zou, Shaogang Wu, Shengxiang Hu, Chenhong Cao, Yanglan Gan, Bofeng Zhang, Yixin Chen

IEEE Trans. Serv. Comput., 2023

FHC-DQP: Federated Hierarchical Clustering for Distributed QoS Prediction.

Guobing Zou, Shiyi Lin, Shengxiang Hu, Shengyu Duan, Yanglan Gan, Bofeng Zhang, Yixin Chen

IEEE Trans. Serv. Comput., 2023

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

Shengxiang Hu, Guobing Zou, Shiyi Lin, Liangrui Wu, Chenyang Zhou, Bofeng Zhang, Yixin Chen

CoRR, 2023

MVGCL: Multi-View Graph Contrastive Learning for Service Recommendation.

Guobing Zou, Shiyi Lin, Shengxiang Hu, Yanglan Gan, Bofeng Zhang, Yixin Chen

Proceedings of the IEEE International Conference on Web Services, 2023

2022

DeepTSQP: Temporal-aware service QoS prediction via deep neural network and feature integration.

Guobing Zou, Tengfei Li, Ming Jiang, Shengxiang Hu, Chenhong Cao, Bofeng Zhang, Yanglan Gan, Yixin Chen

Knowl. Based Syst., 2022

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

Hehe Lv, Bofeng Zhang, Shengxiang Hu, Zhikang Xu

Entropy, 2022

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

Shengxiang Hu, Bofeng Zhang, Hehe Lv, Furong Chang, Chenyang Zhou, Liangrui Wu, Guobing Zou

Entropy, 2022

Temporal-Aware QoS Prediction via Dynamic Graph Neural Collaborative Learning.

Shengxiang Hu, Guobing Zou, Bofeng Zhang, Shaogang Wu, Shiyi Lin, Yanglan Gan, Yixin Chen

Proceedings of the Service-Oriented Computing - 20th International Conference, 2022

2020

Network Representation Learning Based on Topological Structure and Vertex Attributes.

Shengxiang Hu, Bofeng Zhang, Ying Lv, Furong Chang, Zhuocheng Zhou

Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020