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Yuan Yan Tang
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Publications
- 2023
- [j377]Anyong Qin, Zhuolin Tan, Xingli Tan, Yongji Wu, Cheng Jing, Yuan Yan Tang:
Distribution preserving-based deep semi-NMF for data representation. Neurocomputing 524: 69-83 (2023) - 2021
- [c176]Zhuolin Tan, Anyong Qin, Yongqing Sun, Yuan Yan Tang:
Distribution Preserving Deep Semi-Nonnegative Matrix Factorization. SMC 2021: 1081-1086 - 2020
- [j319]Anyong Qin, Lina Xian, Yongliang Yang, Taiping Zhang, Yuan Yan Tang:
Low-Rank Matrix Recovery from Noise via an MDL Framework-Based Atomic Norm. Sensors 20(21): 6111 (2020) - [i23]Anyong Qin, Zhaowei Shang, Zhuolin Tan, Taiping Zhang, Yuan Yan Tang:
Learning a Deep Part-based Representation by Preserving Data Distribution. CoRR abs/2009.08246 (2020) - [i22]Anyong Qin, Lina Xian, Yongliang Yang, Taiping Zhang, Yuan Yan Tang:
Low-Rank Matrix Recovery from Noisy via an MDL Framework-based Atomic Norm. CoRR abs/2009.08297 (2020) - 2019
- [j311]Linchang Zhao, Zhaowei Shang, Ling Zhao, Anyong Qin, Yuan Yan Tang:
Siamese Dense Neural Network for Software Defect Prediction With Small Data. IEEE Access 7: 7663-7677 (2019) - [j306]Linchang Zhao, Zhaowei Shang, Anyong Qin, Taiping Zhang, Ling Zhao, Yu Wei, Yuan Yan Tang:
A cost-sensitive meta-learning classifier: SPFCNN-Miner. Future Gener. Comput. Syst. 100: 1031-1043 (2019) - [j304]Ailin Li, Anyong Qin, Zhaowei Shang, Yuan Yan Tang:
Spectral-Spatial Sparse Subspace Clustering Based on Three-Dimensional Edge-Preserving Filtering for Hyperspectral Image. Int. J. Pattern Recognit. Artif. Intell. 33(3): 1955003:1-1955003:19 (2019) - [j297]Anyong Qin, Zhaowei Shang, Jinyu Tian, Yulong Wang, Taiping Zhang, Yuan Yan Tang:
Spectral-Spatial Graph Convolutional Networks for Semisupervised Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 16(2): 241-245 (2019) - [c170]Anyong Qin, Zhaowei Shang, Taiping Zhang, Yuan Yan Tang:
Distribution Preserving Network Embedding. ICASSP 2019: 3562-3566 - 2018
- [j260]Anyong Qin, Zhaowei Shang, Jinyu Tian, Taiping Zhang, Yuan Yan Tang, Jiye Qian:
Edge-Smoothing-Based Distribution Preserving Hyperspherical Embedding for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(7): 2501-2512 (2018) - [c169]Linchang Zhao, Zhaowei Shang, Anyong Qin, Yuan Yan Tang:
Parameter Estimation Of Gaussian Mixture Model Based On Variational Bayesian Learning. ICMLC 2018: 99-104 - [c168]Ailin Li, Anyong Qin, Shuyan Hu, Zhaowei Shang, Yuan Yan Tang:
Spectral-Spatial Sparse Subspace Clustering Based On Three-Dimensional Edge-Preserving Filtering For Hyperspectral Image. ICMLC 2018: 167-172 - 2017
- [j226]Jinyu Tian, Taiping Zhang, Anyong Qin, Zhaowei Shang, Yuan Yan Tang:
Learning the Distribution Preserving Semantic Subspace for Clustering. IEEE Trans. Image Process. 26(12): 5950-5965 (2017) - [c160]Anyong Qin, Zhaowei Shang, Jinyu Tian, Taiping Zhang, Yulong Wang, Yuanyan Tang:
Using Graph-Based Ensemble Learning to Classify Imbalanced Data. CYBCONF 2017: 1-6 - [c155]Anyong Qin, Zhaowei Shang, Jinyu Tian, Ailin Li, Yulong Wang, Yuan Yan Tang:
Maximum correntropy criterion for convex anc semi-nonnegative matrix factorization. SMC 2017: 1856-1861 - 2016
- [c153]Anyong Qin, Zhaowei Shang, Taiping Zhang, Yiyang Ding, Yuan Yan Tang:
Minimum Description Length Principle Based Atomic Norm for Synthetic Low-Rank Matrix Recovery. CCBD 2016: 7-12
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