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)

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 001; Rajkumar Buyya (CollaborateCom (2), 2020)

Cloud Resource Scheduling With Deep Reinforcement Learning and Imitation Learning. - Wenxia Guo; Wenhong Tian; Yufei Ye; Lingxiao Xu; Kui Wu 001 (IEEE Internet Things J., 2021)

Multi-behavior Session-based Recommendation via Graph Reinforcement Learning. - Shuo Qin; Feng Lin; Lingxiao Xu; Bowen Deng; Siwen Li; Fancheng Yang (ACML, 2023)

Optimization and Evaluation Methods for Automation of E-Commerce Logistics Networks. - Jun He; Lingxiao Xu; Bo Li (ICCAE, 2024)

BiLETCR: An Efficient PMHC-TCR Combined Forecasting Method. - Jiewei Li; Hui Li; Lingxiao Xu; SiyeYang; Ping Wei; Junli Li (ICIC (LNBI 2), 2024)

Diversified Task Augmentation with Redundancy Reduction for Cross-Domain Few-Shot Learning. - Ling Yue; Lin Feng; Qiuping Shuai; Lingxiao Xu; Zihao Li (ICIP, 2024)

Exploring Hierachical Neighbor Information Interaction for Few-Shot Knowledge Graph Completion. - Zihao Li; Lin Feng; Lingxiao Xu; Qiuping Shuai; Ling Yue (IJCNN, 2024)

De-Redundancy Distillation And Feature Shift Correction For Cross-Domain Few-Shot Learning. - Qiuping Shuai; Lin Feng; Ling Yue; Zihao Li; Lingxiao Xu (IJCNN, 2024)

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., 2025)