Bin-Bin Jia

25 papers A* 7B 1Journal 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
Evolutionary Dimension-Specific Feature Selection for Multi-Dimensional Classification.
IEEE Trans. Pattern Anal. Mach. Intell.
Yu-Yang Zhang, Bin-Bin Jia, Min-Ling Zhang
2026 J jnl
Partial label learning with semi-supervised clustering disambiguation.
Pattern Recognit.
Jun-Ying Liu, Jian-Ping Sun, Ya-Hong Zhao, Bin-Bin Jia, Min-Ling Zhang
2026 J jnl
Similarity-based multi-dimensional multi-label classification.
Frontiers Comput. Sci.
Zi-Zhan Gu, Bin-Bin Jia, Min-Ling Zhang
2025 A* conf
Evolutionary Classifier Chain for Multi-Dimensional Classification.
AAAI
Yu-Yang Zhang, Bin-Bin Jia, Min-Ling Zhang
2025 J jnl
Instance-Specific Loss-Weighted Decoding for Decomposition-Based Multiclass Classification.
IEEE Trans. Neural Networks Learn. Syst.
Bin-Bin Jia, Jun-Ying Liu, Min-Ling Zhang
2025 J jnl
Pairwise statistical comparisons of multiple algorithms.
Frontiers Comput. Sci.
Bin-Bin Jia, Jun-Ying Liu, Min-Ling Zhang
2025 A* conf
Towards Escaping from Class Dependency Modeling for Multi-Dimensional Classification.
ICML
Teng Huang, Bin-Bin Jia, Min-Ling Zhang
2024 A* conf
Deep Multi-Dimensional Classification with Pairwise Dimension-Specific Features.
IJCAI
Teng Huang, Bin-Bin Jia, Min-Ling Zhang
2024 J jnl
Towards exploiting linear regression for multi-class/multi-label classification: an empirical analysis.
Int. J. Mach. Learn. Cybern.
Bin-Bin Jia, Jun-Ying Liu, Min-Ling Zhang
2024 J jnl
Wafer Map Defect Classification Using Autoencoder-Based Data Augmentation and Convolutional Neural Network.
CoRR
Yin-Yin Bao, Er-Chao Li, Hong-Qiang Yang, Bin-Bin Jia
2023 J jnl
Learning label-specific features for decomposition-based multi-class classification.
Frontiers Comput. Sci.
Bin-Bin Jia, Jun-Ying Liu, Jun-Yi Hang, Min-Ling Zhang
2023 J jnl
Multi-Dimensional Classification via Decomposed Label Encoding.
IEEE Trans. Knowl. Data Eng.
Bin-Bin Jia, Min-Ling Zhang
2023 J jnl
Multi-dimensional multi-label classification: Towards encompassing heterogeneous label spaces and multi-label annotations.
Pattern Recognit.
Bin-Bin Jia, Min-Ling Zhang
2023 A* conf
Progressive Label Propagation for Semi-Supervised Multi-Dimensional Classification.
IJCAI
Teng Huang, Bin-Bin Jia, Min-Ling Zhang
2023 J jnl
Towards Enabling Binary Decomposition for Partial Multi-Label Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Bing-Qing Liu, Bin-Bin Jia, Min-Ling Zhang
2022 J jnl
Decomposition-Based Classifier Chains for Multi-Dimensional Classification.
IEEE Trans. Artif. Intell.
Bin-Bin Jia, Min-Ling Zhang
2022 J jnl
Maximum Margin Multi-Dimensional Classification.
IEEE Trans. Neural Networks Learn. Syst.
Bin-Bin Jia, Min-Ling Zhang
2022 J jnl
Multi-dimensional Classification via Selective Feature Augmentation.
Int. J. Autom. Comput.
Bin-Bin Jia, Min-Ling Zhang
2021 A* conf
Multi-Dimensional Classification via Sparse Label Encoding.
ICML
Bin-Bin Jia, Min-Ling Zhang
2020 J jnl
Combining One-vs-One Decomposition and Instance-Based Learning for Multi-Class Classification.
IEEE Access
Jun-Ying Liu, Bin-Bin Jia
2020 A* conf
Maximum Margin Multi-Dimensional Classification.
AAAI
Bin-Bin Jia, Min-Ling Zhang
2020 B conf
Md-knn: An Instance-based Approach for Multi-Dimensional Classification.
ICPR
Bin-Bin Jia, Min-Ling Zhang
2020 J jnl
Multi-dimensional classification via
Pattern Recognit.
Bin-Bin Jia, Min-Ling Zhang
2020 J jnl
Multi-dimensional classification via stacked dependency exploitation.
Sci. China Inf. Sci.
Bin-Bin Jia, Min-Ling Zhang
2019 A* conf
Multi-Dimensional Classification via kNN Feature Augmentation.
AAAI
Bin-Bin Jia, Min-Ling Zhang