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Yang Mu
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2020 – today
- 2024
- [j13]Rui Chen
, Yang Mu, Yan Zhang:
High-order relational generative adversarial network for video super-resolution. Pattern Recognit. 146: 110059 (2024) - [j12]Rui Chen
Learning Compact Hyperbolic Representations of Latent Space for Old Photo Restoration. IEEE Trans. Image Process. 33: 3578-3589 (2024) - 2022
- [j11]Xiaowen Zuo, Zhike Xu, Huaping Jia, Yang Mu, Mingming Zhang, Manli Yuan, Chengwei Wu:
Co-simulation of hypertensive left ventricle based on computational fluid dynamics and a closed-loop network model. Comput. Methods Programs Biomed. 216: 106649 (2022) - 2020
- [j10]Yang Mu, Ping Wang, Liangfu Lu
Weighted tensor nuclear norm minimization for tensor completion using tensor-SVD. Pattern Recognit. Lett. 130: 4-11 (2020)
2010 – 2019
- 2017
- [j9]Hamidreza Mohebbi
Learning weighted distance metric from group level information and its parallel implementation. Appl. Intell. 46(1): 180-196 (2017) - [j8]Kui Yu
Markov Blanket Feature Selection Using Representative Sets. IEEE Trans. Neural Networks Learn. Syst. 28(11): 2775-2788 (2017) - 2016
- [j7]Xiang Ren, Wei Ding
Activity recognition and intensity estimation in youth from accelerometer data aided by machine learning. Appl. Intell. 45(2): 512-529 (2016) - 2015
- [c9]Yahui Di, Wei Ding
Developing machine learning tools for long-lead heavy precipitation prediction with multi-sensor data. ICNSC 2015: 63-68 - 2014
- [j6]Yang Mu, Henry Z. Lo, Wei Ding
Bipart: Learning Block Structurefor Activity Detection. IEEE Trans. Knowl. Data Eng. 26(10): 2397-2409 (2014) - [c8]Yang Mu, Henry Z. Lo, Wei Ding
Face Recognition from Multiple Images per Subject. ACM Multimedia 2014: 889-892 - 2013
- [j5]Yang Mu, Wei Ding
Local discriminative distance metrics ensemble learning. Pattern Recognit. 46(8): 2337-2349 (2013) - [c7]Kui Yu, Xindong Wu, Zan Zhang, Yang Mu, Hao Wang, Wei Ding
Markov Blanket Feature Selection with Non-faithful Data Distributions. ICDM 2013: 857-866 - [c6]Yang Mu, Wei Ding
Local Discriminative Distance Metrics and their Real World Applications. ICDM Workshops 2013: 1145-1152 - [c5]Yang Mu, Wei Ding
Constrained stochastic gradient descent for large-scale least squares problem. KDD 2013: 883-891 - 2011
- [j4]Wei Ding
Subkilometer crater discovery with boosting and transfer learning. ACM Trans. Intell. Syst. Technol. 2(4): 39:1-39:22 (2011) - [j3]Bo Xie, Yang Mu, Dacheng Tao, Kaizhu Huang:
m-SNE: Multiview Stochastic Neighbor Embedding. IEEE Trans. Syst. Man Cybern. Part B 41(4): 1088-1096 (2011) - [c4]Yang Mu, Wei Ding
Biologically inspired model for crater detection. IJCNN 2011: 2487-2494 - [c3]Yang Mu, Wei Ding
Empirical Discriminative Tensor Analysis for Crime Forecasting. KSEM 2011: 293-304 - 2010
- [j2]Yang Mu, Dacheng Tao:
Biologically inspired feature manifold for gait recognition. Neurocomputing 73(4-6): 895-902 (2010) - [c2]Bo Xie, Yang Mu, Dacheng Tao:
m-SNE: Multiview Stochastic Neighbor Embedding. ICONIP (1) 2010: 338-346 - [c1]Bo Xie, Yang Mu, Mingli Song, Dacheng Tao:
Random Projection Tree and Multiview Embedding for Large-Scale Image Retrieval. ICONIP (2) 2010: 641-649
2000 – 2009
- 2009
- [j1]Yang Mu, Dacheng Tao, Xuelong Li
Biologically Inspired Tensor Features. Cogn. Comput. 1(4): 327-341 (2009)
Coauthor Index
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