Shaokai Xu

According to our database, Shaokai Xu authored at least 6 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Bidirectional gradient optimization for graph knowledge distillation: Reactivating KL divergence via component decoupling.

Shaokai Xu, Muyang Li, Yingjie Tian

Inf. Sci., 2026

Beyond auxiliary proxies: A theoretical analysis on distilling topological knowledge from GNNs to MLPs.

Shaokai Xu, Ying Jie Tian

Expert Syst. Appl., 2026

2025

Class-view graph knowledge distillation: A new idea for learning MLPs on graphs.

Ying-Jie Tian, Shaokai Xu, Muyang Li

Neurocomputing, 2025

2024

Decoupled graph knowledge distillation: A general logits-based method for learning MLPs on graphs.

Yingjie Tian, Shaokai Xu, Muyang Li

Neural Networks, 2024

2022

MSIDP: Multi-scale Information Diffusion Prediction with Timestamp Information and Wide Dispersion.

Shaokai Xu, Lihua Zhou, Jianfeng Xu, Lizhen Wang, Hongmei Chen

Proceedings of the International Joint Conference on Neural Networks, 2022

2020

PBDE: An Effective Method for Filtering False Positive Boxes in Object Detection.

Zhishan Li, Baozhi Jia, Mingmu Chen, Shaokai Xu, Yifan He, Lei Xie

Proceedings of the 16th International Conference on Control, 2020