Xue Li

According to our database, Xue Li authored at least 15 papers between 2020 and 2026.

Collaborative distances:

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

2026

CS-DRL: A soft policy update approach for wireless bandwidth allocation using deep reinforcement learning.

Jichao Wang, Xue Li, Puming Wang, Xin Jin, Shaowen Yao, Shengfa Miao

Future Gener. Comput. Syst., 2026

Adaptive distributed multi-objective collaborative traffic signal control framework based on multi-agent reinforcement learning.

Peisong Huang, Xue Li, Puming Wang, Xin Jin, Shaowen Yao, Shengfa Miao

Future Gener. Comput. Syst., 2026

2025

BDIP: An Efficient Big Data-Driven Information Processing Framework and Its Application in DDoS Attack Detection.

Qiyuan Fan, Xue Li, Puming Wang, Xin Jin, Shaowen Yao, Shengfa Miao, Sizhang Li, Min An, Jing Xu

IEEE Trans. Netw. Serv. Manag., February, 2025

Mutli-focus image fusion based on guided filter and image matting network.

Puchao Zhu, Xue Li, Puming Wang, Xin Jin, Shaowen Yao

Multim. Tools Appl., January, 2025

PointGFAE: density-aware and attention-enhanced feature learning for point cloud classification.

Jun Wu, Puming Wang, Xue Li, Xin Jin, Shaowen Yao, Shengfa Miao

J. Electronic Imaging, 2025

IDAD: An improved tensor train based distributed DDoS attack detection framework and its application in complex networks.

Qiyuan Fan, Xue Li, Puming Wang, Xin Jin, Shaowen Yao, Shengfa Miao, Min An, Yuqing Zhao

Future Gener. Comput. Syst., 2025

Polyhedral representations with high-frequency for three-dimensional point cloud classification.

Xiaoxin Mao, Xue Li, Puming Wang, Xin Jin, Shengfa Miao, Peng Liu, Shaowen Yao, Siwang Yang

Eng. Appl. Artif. Intell., 2025

TIDS: Tensor Based Intrusion Detection System (IDS) and Its Application in Large Scale DDoS Attack Detection.

Hanqing Sun, Xue Li, Qiyuan Fan, Puming Wang

Comput. Mater. Continua, 2025

2024

Truncated Lanczos-TSVD: An Effective Dimensionality Reduction Algorithm for Detecting DDoS Attacks in Large-Scale Networks.

Sizhang Li, Jing Xu, Peng Liu, Xue Li, Puming Wang, Xin Jin, Shaowen Yao

IEEE Trans. Netw. Sci. Eng., 2024

A novel multi-modal incremental tensor decomposition for anomaly detection in large-scale networks.

Rongqiao Fan, Qiyuan Fan, Xue Li, Puming Wang, Jing Xu, Xin Jin, Shaowen Yao, Peng Liu

Inf. Sci., 2024

2023

Reinforcement learning architecture for cyber-physical-social AI: state-of-the-art and perspectives.

Xue Li, Puming Wang, Xin Jin, Qian Jiang, Wei Zhou, Saowen Yao

Artif. Intell. Rev., November, 2023

Multi-Modal Noise-Robust DDoS Attack Detection Architecture in Large-Scale Networks Based on Tensor SVD.

Jing Xu, Xue Li, Puming Wang, Xin Jin, Shaowen Yao

IEEE Trans. Netw. Sci. Eng., 2023

Multi-focus image fusion based on gradient tensor HOSVD.

Puming Wang, Ting Cao, Xue Li, Xin Jin, Peng Liu, Wei Zhou, Ruxin Wang, Shiyu Chen

J. Electronic Imaging, 2023

2022

RM²T²C: Retrospective Multivariate Multistep Transition Tensor Chain Model for User Mobility Pattern Prediction.

Puming Wang, Laurence Tianruo Yang, Jintao Li, Xue Li, Xiaokang Zhou

IEEE Trans. Ind. Informatics, 2022

2020

MMDP: A Mobile-IoT Based Multi-Modal Reinforcement Learning Service Framework.

Puming Wang, Laurence T. Yang, Jintao Li, Xue Li, Xiaokang Zhou

IEEE Trans. Serv. Comput., 2020