Publications
B.-B. Jia, J.-Y. Liu, M.-L. Zhang. Pairwise statistical comparisons of multiple algorithms. Frontiers of Computer Science, in press.
B.-B. Jia, J.-Y. Liu, M.-L. Zhang. Instance-specific loss-weighted decoding for decomposition-based multi-class classification. IEEE Transactions on Neural Networks and Learning Systems, in press.
B.-B. Jia, M.-L. Zhang. Multi-dimensional classification: paradigm, algorithms and beyond. Vicinagearth, 2024, 1(1): Article 3.
B.-B. Jia, J.-Y. Liu, M.-L. Zhang. Towards exploiting linear regression for multi-class/multi-label classification: an empirical analysis. International Journal of Machine Learning and Cybernetics, 2024, 15(9): 3671-3700.
B.-B. Jia, M.-L. Zhang. Supervised dimensionality reduction for multi-dimensional classification (in Chinese). SCIENTIA SINICA Informationis, 2023, 53: 2325-2340.
B.-Q. Liu, B.-B. Jia, M.-L. Zhang. Towards enabling binary decomposition for partial multi-label learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023, 45(11): 13203-13217.
B.-B. Jia, M.-L. Zhang. Multi-dimensional classification via decomposed label encoding. IEEE Transactions on Knowledge and Data Engineering, 2023, 35(2): 1844-1856.
B.-B. Jia, M.-L. Zhang. Multi-dimensional multi-label classification: Towards encompassing heterogeneous label spaces and multi-label annotations. Pattern Recognition, 2023, 138: Article 109357.
B.-B. Jia, J.-Y. Liu, J.-Y. Hang, M.-L. Zhang. Learning label-specific features for decomposition-based multi-class classification. Frontiers of Computer Science, 2023, 17(6): Article 176348.
B.-B. Jia, M.-L. Zhang. Maximum margin multi-dimensional classification. IEEE Transactions on Neural Networks and Learning Systems, 2022, 33(12): 7185-7198.
B.-B. Jia, M.-L. Zhang. Decomposition-based classifier chains for multi-dimensional classification. IEEE Transactions on Artificial Intelligence, 2022, 3(2): 176-191.
B.-B. Jia, M.-L. Zhang. Multi-dimensional classification via selective feature augmentation. Machine Intelligence Research, 2022, 19(1): 38-51.
B.-B. Jia, M.-L. Zhang. Multi-dimensional classification via stacked dependency exploitation. Science China Information Sciences, 2020, 63(12): Article 222102.
B.-B. Jia, M.-L. Zhang. Multi-dimensional classification via kNN feature augmentation. Pattern Recognition, 2020, 106: Article 107423.
J.-Y. Liu, B.-B. Jia. Combining one-vs-one decomposition and instance-based learning for multi-class classification. IEEE Access, 2020, 8: 197499-197507.
Y.-Y. Zhang, B.-B. Jia, M.-L. Zhang. Evolutionary classifier chain for multi-dimensional classification. In: Proceedings of the 39th AAAI Conference on Artificial Intelligence (AAAI'25), in press.
T. Huang, B.-B. Jia, M.-L. Zhang. Deep multi-dimensional classification with pairwise dimension-specific features. In: Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI'24), Jeju, South Korea, 2024, 4183-4191.
T. Huang, B.-B. Jia, M.-L. Zhang. Progressive label propagation for semi-supervised multi-dimensional classification. In: Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI'23), Macau, China, 2023, 3821-3829.
B.-B. Jia, M.-L. Zhang. Multi-dimensional classification via sparse label encoding. In: Proceedings of the 38th International Conference on Machine Learning (ICML'21), Virtual Conference, 2021, 4917-4926.
B.-B. Jia, M.-L. Zhang. Maximum margin multi-dimensional classification. In: Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI'20), New York, NY, 2020, 4312-4319.
B.-B. Jia, M.-L. Zhang. MD-kNN: An instance-based approach for multi-dimensional classification. In: Proceedings of the 25th International Conference on Pattern Recognition (ICPR'20), Milan, Italy, 126-133.
B.-B. Jia, M.-L. Zhang. Multi-dimensional classification via kNN feature augmentation. In: Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI'19), Honolulu, HI, 2019, 3975-3982.