A Granular Computing Approach to Symbolic Value Partitioning. - Liu-Ying Wen; Fan Min 001 (Fundam. Informaticae, 2015)

Representative-Based Active Learning with Max-Min Distance. - Fu-Lun Liu; Fan Min 001; Liu-Ying Wen; Hong-Jie Wang (IJCRS, 2016)

A two-stage discretization algorithm based on information entropy. - Liu-Ying Wen; Fan Min 001; Shi-Yuan Wang (Appl. Intell., 2017)

Tri-partition cost-sensitive active learning through kNN. - Fan Min 001; Fu-Lun Liu; Liu-Ying Wen; Zhi-Heng Zhang (Soft Comput., 2019)

Multi-label symbolic value partitioning through random walks. - Liu-Ying Wen; Chaoguang Luo; Wei-Zhi Wu 001; Fan Min 001 (Neurocomputing, 2020)

KGA: integrating KPCA and GAN for microbial data augmentation. - Liu-Ying Wen; Xiao-Min Zhang; Qingfeng Li; Fan Min 001 (Int. J. Mach. Learn. Cybern., 2023)

Cost-sensitive microbial data augmentation through matrix factorization. - Liu-Ying Wen; Xi Wang; Fan Min 001 (Appl. Intell., 2023)

Against Filter Bubbles: Diversified Music Recommendation via Weighted Hypergraph Embedding Learning. - Chaoguang Luo; Liuying Wen; Yong Qin; Liangwei Yang; Zhineng Hu; Philip S. Yu (CoRR, 2024)

Microbial data augmentation combining feature extraction and transformer network. - Liu-Ying Wen; Zhu Chen; Xiao-Nan Xie; Fan Min 001 (Int. J. Mach. Learn. Cybern., 2024)

Diversified recommendation with weighted hypergraph embedding: Case study in music. - Chaoguang Luo; Liuying Wen; Yong Qin; Philip S. Yu; Liangwei Yang; Zhineng Hu (Neurocomputing, 2025)

Ensemble microbial classification based on space partitioning and data augmentation. - Liu-Ying Wen; Zhu Chen; Fan Min 001 (Appl. Intell., 2025)