| 2021 | ICDM | Discriminative Additive Scale Loss for Deep Imbalanced Classification and Embedding. | Zhao Zhang, Weiming Jiang, Yang Wang, Qiaolin Ye, Mingbo Zhao, Mingliang Xu, Meng Wang |
| 2019 | IJCAI | Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning. | Zhao Zhang, Weiming Jiang, Zheng Zhang, Sheng Li, Guangcan Liu, Jie Qin |
| 2018 | ICPR | Robust Discriminative Projective Dictionary Pair Learning by Adaptive Representations. | Yulin Sun, Zhao Zhang, Weiming Jiang, Guangcan Liu, Meng Wang, Shuicheng Yan |
| 2018 | ICPR | Robust Locality-Constrained Label Consistent K-SVD by Joint Sparse Embedding. | Zhao Zhang, Weiming Jiang, Sheng Li, Jie Qin, Guangcan Liu, Shuicheng Yan |
| 2017 | ICDM | Robust Projective Dictionary Learning by Joint Label Embedding and Classification. | Weiming Jiang, Zhao Zhang, Jie Qin, Mingbo Zhao, Fanzhang Li, Shuicheng Yan |
| 2016 | ICDM | Adaptive Neighborhood Propagation by Joint L2, 1-Norm Regularized Sparse Coding for Representation and Classification. | Lei Jia, Zhao Zhang, Lei Wang, Weiming Jiang, Ming-Bo Zhao |
| 2016 | ICONIP | Two-Dimensional Soft Linear Discriminant Projection for Robust Image Feature Extraction and Recognition. | Yu Tang, Zhao Zhang, Weiming Jiang |
| 2016 | INDIN | Latent label consistent K-SVD for joint machine faults representation and classification. | Zhao Zhang, Weiming Jiang, Lei Jia, Mingbo Zhao, Fanzhang Li |
| 2015 | CAIP | Projective Label Propagation by Label Embedding. | Zhao Zhang, Weiming Jiang, Fanzhang Li, Li Zhang, Ming-Bo Zhao, Lei Jia |
| 2015 | INDIN | Semi-supervised label consistent dictionary learning for machine fault classification. | Weiming Jiang, Zhao Zhang, Fanzhang Li, Li Zhang, Ming-Bo Zhao |
| 2015 | ICTAI | L1-Norm Driven Semi-supervised Local Discriminant Projection for Robust Image Representation. | Xiaoyu Wang, Zhao Zhang, Yu Tang, Weiming Jiang, Fanzhang Li |