Rotation-DPeak: Improving Density Peaks Selection for Imbalanced Data. - Xiaoliang Hu; Ming Yan; Yewang Chen; Lijie Yang 001; Jixiang Du (Big Data (CCF), 2020)

Fast density peak clustering for large scale data based on kNN. - Yewang Chen; Xiaoliang Hu; Wentao Fan; Lianlian Shen; Zheng Zhang; Xin Liu 011; Ji-Xiang Du; Haibo Li; Yi Chen 007; Hailin Li (Knowl. Based Syst., 2020)

Intrusion detection based on improved density peak clustering for imbalanced data on sensor-cloud systems. - Ming Yan; Yewang Chen; Xiaoliang Hu; Dongdong Cheng; Yi Chen 007; Jixiang Du (J. Syst. Archit., 2021)

Corrigendum to Intrusion detection based on improved density peak clustering for imbalanced data on sensor-cloud systems Journal of Systems Architecture volume 118 (2021) 102212. - Ming Yan; Yewang Chen; Xiaoliang Hu; Dongdong Cheng; Yi Chen 007; Jixiang Du (J. Syst. Archit., 2021)

A lightweight weakly supervised learning segmentation algorithm for imbalanced image based on rotation density peaks. - Ming Yan; Yewang Chen; Yi Chen 007; Guoyao Zeng; Xiaoliang Hu; Jixiang Du (Knowl. Based Syst., 2022)

TVDO: Tchebycheff Value-Decomposition Optimization for Multi-Agent Reinforcement Learning. - Xiaoliang Hu; Pengcheng Guo; Chuanwei Zhou; Tong Zhang 021; Zhen Cui 001 (CoRR, 2023)

Bi-LSTM-Based Dynamic Prediction Model for Pulling Speed of Czochralski Single-Crystal Furnace. - Zhengyuan Feng; Xiaoliang Hu; Zengguo Tian; Baozhu Jiang; Hongshuai Zhang; Wanli Zhang (J. Comput. Inf. Sci. Eng., 2023)

Resource and trajectory optimization for secure communication in RIS assisted UAV-MEC system. - Shihao Liu; Yangchao Huang; Hang Hu 001; Jiangbo Si; Guobing Cheng; Tao Huang; Xiaoliang Hu (IET Commun., 2023)

TVDO: Tchebycheff Value-Decomposition Optimization for Multiagent Reinforcement Learning. - Xiaoliang Hu; Pengcheng Guo; Yadong Li; Guangyu Li; Zhen Cui 001; Jian Yang 003 (IEEE Trans. Neural Networks Learn. Syst., 2025)