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智能信息处理，模式识别与计算机视觉
- Ming Yin,Junbin Gao,Zhouchen Lin,Laplacian Regularized Low-Rank Representation and Its Applications.IEEE Transactions on Pattern Analysis and Machine Intelligence,2016,(2016, 38(3)):504-517.
- Lijuan Wang,Jiawen Huang,Ming Yin*,Ruichu Cai,Zhifeng Hao,Block diagonal representation learning for robust subspace clustering.Information Sciences,2020,(2020, 526 (7)):54–67.
- Ming Yin,Weitian Huang,Junbin Gao,Shared Generative Latent Representation Learning for Multi-view Clustering.AAAI Conference on Artificial Intelligence (AAAI-20),2020,2020. (CCF A类会议).
- Ming Yin,Junbin Gao,Shengli Xie,Yi Guo,Multiview Subspace Clustering via Tensorial t-Product Representation.IEEE Transactions on Neural Networks and Learning Systems,2019,(2019, 30(3)):851-864.
- Ming Yin,Shengli Xie,Zongze Wu,Yun Zhang,Junbin Gao,Subspace Clustering via Learning an Adaptive Low-rank Graph.IEEE Transactions on Image Processing (TIP),2018,(2018, 27(8)):3716-3728.
- Ming Yin,Junbin Gao,Zhouchen Lin,Qinfeng Shi,Yi Guo,Dual Graph Regularized Latent Low-rank Representation for Subspace Clustering.IEEE Transactions on Image Processing (TIP),2015,(2015, 24(12)):4918-4933.
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