Shengxiang Hu

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 15

Top Topics

Diffusion Models

Collaborative Learning

Top Venues

IEEE Trans. Serv. Comput.

Publications

Shengxiang Hu, Guobing Zou, Song Yang, Bofeng Zhang, Yixin Chen
Large Language Model Meets Graph Neural Network in Knowledge Distillation. CoRR (2024)
Guobing Zou, Shiyi Lin, Shengxiang Hu, Shengyu Duan, Yanglan Gan, Bofeng Zhang, Yixin Chen
FHC-DQP: Federated Hierarchical Clustering for Distributed QoS Prediction. IEEE Trans. Serv. Comput. 16 (6) (2023)
Dong Wei, Huaijiang Sun, Bin Li, Jianfeng Lu, Weiqing Li, Xiaoning Sun, Shengxiang Hu
Human Joint Kinematics Diffusion-Refinement for Stochastic Motion Prediction. AAAI (2023)
Guobing Zou, Shiyi Lin, Shengxiang Hu, Yanglan Gan, Bofeng Zhang, Yixin Chen
MVGCL: Multi-View Graph Contrastive Learning for Service Recommendation. ICWS (2023)
Shengxiang Hu, Guobing Zou, Shiyi Lin, Liangrui Wu, Chenyang Zhou, Bofeng Zhang, Yixin Chen
Recurrent Transformer for Dynamic Graph Representation Learning with Edge Temporal States. CoRR (2023)
Dong Wei, Xiaoning Sun, Huaijiang Sun, Bin Li, Shengxiang Hu, Weiqing Li, Jianfeng Lu
Understanding Text-driven Motion Synthesis with Keyframe Collaboration via Diffusion Models. CoRR (2023)
Guobing Zou, Shaogang Wu, Shengxiang Hu, Chenhong Cao, Yanglan Gan, Bofeng Zhang, Yixin Chen
NCRL: Neighborhood-Based Collaborative Residual Learning for Adaptive QoS Prediction. IEEE Trans. Serv. Comput. 16 (3) (2023)
Dong Wei, Huaijiang Sun, Bin Li, Jianfeng Lu, Weiqing Li, Xiaoning Sun, Shengxiang Hu
Human Joint Kinematics Diffusion-Refinement for Stochastic Motion Prediction. CoRR (2022)
Guobing Zou, Tengfei Li, Ming Jiang, Shengxiang Hu, Chenhong Cao, Bofeng Zhang, Yanglan Gan, Yixin Chen
DeepTSQP: Temporal-aware service QoS prediction via deep neural network and feature integration. Knowl. Based Syst. 241 (2022)
Shengxiang Hu, Guobing Zou, Bofeng Zhang, Shaogang Wu, Shiyi Lin, Yanglan Gan, Yixin Chen
Temporal-Aware QoS Prediction via Dynamic Graph Neural Collaborative Learning. ICSOC (2022)
Hehe Lv, Bofeng Zhang, Shengxiang Hu, Zhikang Xu
Deep Link-Prediction Based on the Local Structure of Bipartite Networks. Entropy 24 (5) (2022)
Shengxiang Hu, Bofeng Zhang, Hehe Lv, Furong Chang, Chenyang Zhou, Liangrui Wu, Guobing Zou
Improving Network Representation Learning via Dynamic Random Walk, Self-Attention and Vertex Attributes-Driven Laplacian Space Optimization. Entropy 24 (9) (2022)
Shengxiang Hu, Mingwu Ren
Correlation Filters with Pre-position by Reconstruction Error for Visual Tracking. ICMIP (2021)
Shengxiang Hu, Bofeng Zhang, Ying Lv, Furong Chang, Zhuocheng Zhou
Network Representation Learning Based on Topological Structure and Vertex Attributes. PPSN (1) (2020)
Lijuan Li, Lu Xiong, Ouguan Xu, Shengxiang Hu, Hongye Su
Decomposition-based modeling algorithm by CCA-PLS for large scale processes. ACC (2015)