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2020 – today
- 2024
[c6]Jun He, Lingxiao Xu, Bo Li:
Optimization and Evaluation Methods for Automation of E-Commerce Logistics Networks. ICCAE 2024: 59-63- [c5]Jiewei Li, Hui Li, Lingxiao Xu, SiyeYang, Ping Wei, Junli Li:
BiLETCR: An Efficient PMHC-TCR Combined Forecasting Method. ICIC (LNBI 2) 2024: 25-37 - [c4]Zihao Li, Lin Feng, Lingxiao Xu, Qiuping Shuai, Ling Yue:
Exploring Hierachical Neighbor Information Interaction for Few-Shot Knowledge Graph Completion. IJCNN 2024: 1-9 - [c3]Qiuping Shuai, Lin Feng, Ling Yue, Zihao Li, Lingxiao Xu:
De-Redundancy Distillation And Feature Shift Correction For Cross-Domain Few-Shot Learning. IJCNN 2024: 1-8 - 2023
- [c2]Shuo Qin, Feng Lin, Lingxiao Xu, Bowen Deng, Siwen Li, Fancheng Yang:
Multi-behavior Session-based Recommendation via Graph Reinforcement Learning. ACML 2023: 1119-1134 - 2021
- [j1]Wenxia Guo
, Wenhong Tian, Yufei Ye, Lingxiao Xu, Kui Wu:
Cloud Resource Scheduling With Deep Reinforcement Learning and Imitation Learning. IEEE Internet Things J. 8(5): 3576-3586 (2021) - 2020
- [c1]Lingxiao Xu, Minxian Xu, Richard Semmes, Hui Li, Hong Mu, Shuangquan Gui, Wenhong Tian, Kui Wu, Rajkumar Buyya:
A Reinforcement Learning Based Approach to Identify Resource Bottlenecks for Multiple Services Interactions in Cloud Computing Environments. CollaborateCom (2) 2020: 58-74
2010 – 2019
- 2018
- [i1]Yufei Ye, Xiaoqin Ren, Jin Wang, Lingxiao Xu, Wenxia Guo, Wenqiang Huang, Wenhong Tian:
A New Approach for Resource Scheduling with Deep Reinforcement Learning. CoRR abs/1806.08122 (2018)
Coauthor Index
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