Lingxiao Xu

According to our database, Lingxiao Xu authored at least 9 papers between 2018 and 2025.

Collaborative distances:

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

2025

Multi-level adaptive feature representation based on task augmentation for Cross-Domain Few-Shot learning.

Ling Yue, Lin Feng, Qiuping Shuai, Zihao Li, Lingxiao Xu

Appl. Intell., February, 2025

2024

De-Redundancy Distillation And Feature Shift Correction For Cross-Domain Few-Shot Learning.

Qiuping Shuai, Lin Feng, Ling Yue, Zihao Li, Lingxiao Xu

Proceedings of the International Joint Conference on Neural Networks, 2024

Exploring Hierachical Neighbor Information Interaction for Few-Shot Knowledge Graph Completion.

Zihao Li, Lin Feng, Lingxiao Xu, Qiuping Shuai, Ling Yue

Proceedings of the International Joint Conference on Neural Networks, 2024

BiLETCR: An Efficient PMHC-TCR Combined Forecasting Method.

Jiewei Li, Hui Li, Lingxiao Xu, SiyeYang, Ping Wei, Junli Li

Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024

Optimization and Evaluation Methods for Automation of E-Commerce Logistics Networks.

Jun He, Lingxiao Xu, Bo Li

Proceedings of the 16th International Conference on Computer and Automation Engineering, 2024

2023

Multi-behavior Session-based Recommendation via Graph Reinforcement Learning.

Shuo Qin, Feng Lin, Lingxiao Xu, Bowen Deng, Siwen Li, Fancheng Yang

Proceedings of the Asian Conference on Machine Learning, 2023

2021

Cloud Resource Scheduling With Deep Reinforcement Learning and Imitation Learning.

Wenxia Guo, Wenhong Tian, Yufei Ye, Lingxiao Xu, Kui Wu

IEEE Internet Things J., 2021

2020

A Reinforcement Learning Based Approach to Identify Resource Bottlenecks for Multiple Services Interactions in Cloud Computing Environments.

Lingxiao Xu, Minxian Xu, Richard Semmes, Hui Li, Hong Mu, Shuangquan Gui, Wenhong Tian, Kui Wu, Rajkumar Buyya

Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2020

2018

A New Approach for Resource Scheduling with Deep Reinforcement Learning.

Yufei Ye, Xiaoqin Ren, Jin Wang, Lingxiao Xu, Wenxia Guo, Wenqiang Huang, Wenhong Tian

CoRR, 2018