Spatial Characterization and Classification of Rectal Bleeding in Prostate Cancer Radiotherapy with a Voxel-Based Principal Components Analysis Model for 3D Dose Distribution. - Baiyang Chen; Oscar Acosta; Amar Kachenoura; Juan David Ospina; Gaël Dréan; Antoine Simon; Jean-Jacques Bellanger; Pascal Haigron; Renaud de Crevoisier (Prostate Cancer Imaging, 2011)

On slot sensing for optical wireless scattering communications. - Chen Gong 001; Zhengyuan Xu; Baiyang Chen (ICC, 2015)

Joint Power Allocation in Wireless Relay Networks: the Case of Hybrid Digital-Analog Transmission. - Hancheng Lu; Xinzhu Kong; Xiaoda Jiang; Baiyang Chen (Mob. Networks Appl., 2016)

MAUIL: Multi-level Attribute Embedding for Semi-supervised User Identity Linkage. - Baiyang Chen; Xiaoliang Chen (CoRR, 2020)

MAUIL: Multilevel attribute embedding for semisupervised user identity linkage. - Baiyang Chen; Xiaoliang Chen (Inf. Sci., 2022)

Anomaly detection based on weighted fuzzy-rough density. - Zhong Yuan; Baiyang Chen; Jia Liu 033; Hongmei Chen 001; Dezhong Peng; Peilin Li (Appl. Soft Comput., 2023)

DNETC: dynamic network embedding preserving both triadic closure evolution and community structures. - Min Yang; Xiaoliang Chen; Baiyang Chen; Peng Lu; Yajun Du (Knowl. Inf. Syst., 2023)

Fuzzy granular anomaly detection using Markov random walk. - Chang Liu 088; Zhong Yuan; Baiyang Chen; Hongmei Chen 001; Dezhong Peng (Inf. Sci., 2023)

MFCD:A Deep Learning Method with Fuzzy Clustering for Time Series Anomaly Detection. - Kaisheng Luo; Chang Liu 088; Baiyang Chen; Xuedong Li; Dezhong Peng; Zhong Yuan (APWeb/WAIM (3), 2024)

Consistency-guided semi-supervised outlier detection in heterogeneous data using fuzzy rough sets. - Baiyang Chen; Zhong Yuan; Dezhong Peng; Xiaoliang Chen; Hongmei Chen 001 (Appl. Soft Comput., 2024)

Detecting anomalies with granular-ball fuzzy rough sets. - Xinyu Su; Zhong Yuan; Baiyang Chen; Dezhong Peng; Hongmei Chen 001; Yingke Chen (Inf. Sci., 2024)

Fusing multi-scale fuzzy information to detect outliers. - Baiyang Chen; Yongxiang Li; Dezhong Peng; Hongmei Chen 001; Zhong Yuan (Inf. Fusion, 2024)

ETCGN: entity type-constrained graph networks for document-level relation extraction. - Hangxiao Yang; Changpu Chen; Shaokai Zhang; Baiyang Chen; Chang Liu 088; Qilin Li (Int. J. Mach. Learn. Cybern., 2024)

Outlier detection in mixed-attribute data: A semi-supervised approach with fuzzy approximations and relative entropy. - Baiyang Chen; Zhong Yuan; Zheng Liu; Dezhong Peng; Yongxiang Li; Chang Liu 088; Guiduo Duan (Int. J. Approx. Reason., 2025)

Integrating granular computing with density estimation for anomaly detection in high-dimensional heterogeneous data. - Baiyang Chen; Zhong Yuan; Dezhong Peng; Xiaoliang Chen; Hongmei Chen 001; Yingke Chen (Inf. Sci., 2025)

GBMOD: A granular-ball mean-shift outlier detector. - Shitong Cheng; Xinyu Su; Baiyang Chen; Hongmei Chen 001; Dezhong Peng; Zhong Yuan (Pattern Recognit., 2025)

Learning Source-Free Domain Adaptation for Infrared Small Target Detection. - Hongxu Jin; Baiyang Chen; Qianwen Lu; Qingchuan Tao; Yongxiang Li (IEEE Signal Process. Lett., 2025)

Label-Informed Outlier Detection Based on Granule Density. - Baiyang Chen; Zhong Yuan; Dezhong Peng; Hongmei Chen 001; Xiaomin Song; Huiming Zheng (IEEE Trans. Fuzzy Syst., 2025)