Feature Genes Selection Using Supervised Locally Linear Embedding and Correlation Coefficient for Microarray Classification. - Jiucheng Xu; Huiyu Mu; Yun Wang 009; Fangzhou Huang (Comput. Math. Methods Medicine, 2018)

Feature genes selection using Fisher transformation method. - Huiyu Mu; Jiucheng Xu; Yun Wang 009; Lin Sun 002 (J. Intell. Fuzzy Syst., 2018)

A Constrained Self-adaptive Sparse Combination Representation Method for Abnormal Event Detection. - Huiyu Mu; Ruizhi Sun; Li Li 059; Saihua Cai; Qianqian Zhang 003 (Big Data (CCF), 2019)

A Minimum Rare-Itemset-Based Anomaly Detection Method and Its Application on Sensor Data Stream. - Saihua Cai; Ruizhi Sun; Huiyu Mu; Xiaochen Shi; Gang Yuan (ChineseCSCW, 2019)

Feature genes selection based on fuzzy neighborhood conditional entropy. - Jiucheng Xu; Yun Wang 009; Huiyu Mu; Fangzhou Huang (J. Intell. Fuzzy Syst., 2019)

Adaptive density peak clustering based on dimensional-free and reverse k-nearest neighbors. - Qiannan Wu; Qianqian Zhang 003; Ruizhi Sun; Li Li 059; Huiyu Mu; Feiyu Shang (Inf. Technol. Control., 2020)

Modeling and Analysis of Blockchain Trading Network Based on Directed Time Weighted Random Walk. - Miao Wang; Ruizhi Sun; Huiyu Mu (BlockSys, 2021)

Selection Biased Positive and Unlabeled Learning Method for Anomaly Detection in Surveillance Videos. - Feiyu Shang; Huiyu Mu; Shanshan Qi; Ruizhi Sun (CSCWD, 2021)

Crowd behavior detection in videos using statistical physics. - Huiyu Mu; Ruizhi Sun; Gang Yuan; Jiayao Li; Miao Wang (ICDM (Workshops), 2021)

Positive unlabeled learning-based anomaly detection in videos. - Huiyu Mu; Ruizhi Sun; Gang Yuan; Guoqing Shi (Int. J. Intell. Syst., 2021)

Robust Adaptive Semi-supervised Classification Method based on Dynamic Graph and Self-paced Learning. - Li Li 059; Kaiyi Zhao; Jiangzhang Gan; Saihua Cai; Tong Liu; Huiyu Mu; Ruizhi Sun (Inf. Process. Manag., 2021)

Abnormal Human Behavior Detection in Videos: A Review. - Huiyu Mu; Ruizhi Sun; Gang Yuan; Yun Wang 009 (Inf. Technol. Control., 2021)

Spatio-temporal graph-based CNNs for anomaly detection in weakly-labeled videos. - Huiyu Mu; Ruizhi Sun; Miao Wang; Zeqiu Chen (Inf. Process. Manag., 2022)

Incremental clustering algorithm based on representative points and covariance for large data. - Jiayao Li; Qiannan Wu; N. A. Li; Ruizhi Sun; Huiyu Mu; Kaiyi Zhao (Int. J. Simul. Process. Model., 2023)

Intelligent abnormal behavior detection using double sparseness method. - Huiyu Mu; Ruizhi Sun; Zeqiu Chen; Jia Qin (Appl. Intell., 2023)

Fast detection method for pedestrian video abnormal behavior based on keyframe extraction and multi-task mixed model. - Huiyu Mu; Jiangwei Li; Jiashuai Su; Luhui Wang; Junfeng Tian; Lanxue Dang (ISPA, 2024)

STA-VAD: Video Anomaly Detection Utilizing Spatio-Temporal Memory and Adaptive Deformation. - Huiyu Mu; Jiashuai Su; Luhui Wang; Jiangwei Li; Yadi Wang; Xianyu Zuo (ISPA, 2024)

CroSA: Unsupervised domain adaptation abnormal behavior detection via cross-space alignment. - Huiyu Mu; Xianyu Zuo; Jiashuai Su; Yun Hu; Shubing Han; Baojun Qiao; Cheng Yuan; Lanxue Dang (Expert Syst. Appl., 2025)

Guided representation learning with dictionary-based fuzzy sparse discriminative embedding. - Yun Wang 009; Chaojun Cen; Heling Cao; Zhenbo Li; Huiyu Mu (Expert Syst. Appl., 2025)

Hyperspectral image classification based on faster residual multi-branch spiking neural network. - Yahui Li; Yang Liu 055; Rui Li; Liming Zhou; Lanxue Dang; Huiyu Mu; Qiang Ge (Comput. Geosci., 2025)

Process-Oriented Change Detection Network Based on Discrete Wavelet Transform. - Lanxue Dang; Shilong Li; Shuai Zhao; Huiyu Mu (IEEE Geosci. Remote. Sens. Lett., 2025)