Multi-Dimensional Classification via kNN Feature Augmentation. - Bin-Bin Jia 001; Min-Ling Zhang (AAAI, 2019)

Md-knn: An Instance-based Approach for Multi-Dimensional Classification. - Bin-Bin Jia 001; Min-Ling Zhang (ICPR, 2020)

Combining One-vs-One Decomposition and Instance-Based Learning for Multi-Class Classification. - Jun-Ying Liu 001; Bin-Bin Jia 001 (IEEE Access, 2020)

Multi-dimensional classification via stacked dependency exploitation. - Bin-Bin Jia 001; Min-Ling Zhang (Sci. China Inf. Sci., 2020)

Multi-dimensional classification via kNN feature augmentation. - Bin-Bin Jia 001; Min-Ling Zhang (Pattern Recognit., 2020)

Multi-Dimensional Classification via Sparse Label Encoding. - Bin-Bin Jia 001; Min-Ling Zhang (ICML, 2021)

Multi-dimensional Classification via Selective Feature Augmentation. - Bin-Bin Jia 001; Min-Ling Zhang (Int. J. Autom. Comput., 2022)

Decomposition-Based Classifier Chains for Multi-Dimensional Classification. - Bin-Bin Jia 001; Min-Ling Zhang (IEEE Trans. Artif. Intell., 2022)

Maximum Margin Multi-Dimensional Classification. - Bin-Bin Jia 001; Min-Ling Zhang (IEEE Trans. Neural Networks Learn. Syst., 2022)

Progressive Label Propagation for Semi-Supervised Multi-Dimensional Classification. - Teng Huang 003; Bin-Bin Jia 001; Min-Ling Zhang (IJCAI, 2023)

Multi-Dimensional Classification via Decomposed Label Encoding. - Bin-Bin Jia 001; Min-Ling Zhang (IEEE Trans. Knowl. Data Eng., 2023)

Multi-dimensional multi-label classification: Towards encompassing heterogeneous label spaces and multi-label annotations. - Bin-Bin Jia 001; Min-Ling Zhang (Pattern Recognit., 2023)

Towards Enabling Binary Decomposition for Partial Multi-Label Learning. - Bing-Qing Liu; Bin-Bin Jia 001; Min-Ling Zhang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Learning label-specific features for decomposition-based multi-class classification. - Bin-Bin Jia 001; Jun-Ying Liu 001; Jun-Yi Hang; Min-Ling Zhang (Frontiers Comput. Sci., 2023)

Multi-Dimensional Classification via NSGA-III Algorithm and Sparse Label Encoding. - Erchao Li; Xiaoqian Dai; Binbin Jia 001 (EITCE, 2024)

Deep Multi-Dimensional Classification with Pairwise Dimension-Specific Features. - Teng Huang 003; Bin-Bin Jia 001; Min-Ling Zhang (IJCAI, 2024)

Wafer Map Defect Classification Using Autoencoder-Based Data Augmentation and Convolutional Neural Network. - Yin-Yin Bao; Er-Chao Li; Hong-Qiang Yang; Bin-Bin Jia 001 (CoRR, 2024)

Towards exploiting linear regression for multi-class/multi-label classification: an empirical analysis. - Bin-Bin Jia 001; Jun-Ying Liu 001; Min-Ling Zhang (Int. J. Mach. Learn. Cybern., 2024)

Evolutionary Classifier Chain for Multi-Dimensional Classification. - Yu-Yang Zhang; Bin-Bin Jia 001; Min-Ling Zhang (AAAI, 2025)

Instance-Specific Loss-Weighted Decoding for Decomposition-Based Multiclass Classification. - Bin-Bin Jia 001; Jun-Ying Liu 001; Min-Ling Zhang (IEEE Trans. Neural Networks Learn. Syst., 2025)

Pairwise statistical comparisons of multiple algorithms. - Bin-Bin Jia 001; Jun-Ying Liu 001; Min-Ling Zhang (Frontiers Comput. Sci., 2025)

Partial label learning with semi-supervised clustering disambiguation. - Jun-Ying Liu 001; Jian-Ping Sun; Ya-Hong Zhao; Bin-Bin Jia 001; Min-Ling Zhang (Pattern Recognit., 2026)