Yang Mu

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 7

Top Topics

Activity Detection

Computational Fluid Dynamics

Accelerometer Data

Top Venues

Pattern Recognit.

IEEE Trans. Neural Networks Learn. Syst.

Publications

Rui Chen, Tao Guo, Yang Mu, Li Shen
Learning Compact Hyperbolic Representations of Latent Space for Old Photo Restoration. IEEE Trans. Image Process. 33 (2024)
Rui Chen, Yang Mu, Yan Zhang
High-order relational generative adversarial network for video super-resolution. Pattern Recognit. 146 (2024)
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 (2022)
Yang Mu, Ping Wang, Liangfu Lu, Xuyun Zhang, Lianyong Qi
Weighted tensor nuclear norm minimization for tensor completion using tensor-SVD. Pattern Recognit. Lett. 130 (2020)
Kui Yu, Xindong Wu, Wei Ding, Yang Mu, Hao Wang
Markov Blanket Feature Selection Using Representative Sets. IEEE Trans. Neural Networks Learn. Syst. 28 (11) (2017)
Hamidreza Mohebbi, Yang Mu, Wei Ding
Learning weighted distance metric from group level information and its parallel implementation. Appl. Intell. 46 (1) (2017)
Xiang Ren, Wei Ding, Scott E. Crouter, Yang Mu, Rong Xie
Activity recognition and intensity estimation in youth from accelerometer data aided by machine learning. Appl. Intell. 45 (2) (2016)
Yahui Di, Wei Ding, Yang Mu, David L. Small, Shafiqul Islam, Ni-Bin Chang
Developing machine learning tools for long-lead heavy precipitation prediction with multi-sensor data. ICNSC (2015)
Yang Mu, Henry Z. Lo, Wei Ding, Dacheng Tao
Face Recognition from Multiple Images per Subject. ACM Multimedia (2014)
Yang Mu, Henry Z. Lo, Wei Ding, Kevin Amaral, Scott E. Crouter
Bipart: Learning Block Structurefor Activity Detection. IEEE Trans. Knowl. Data Eng. 26 (10) (2014)
Yang Mu, Wei Ding
Local Discriminative Distance Metrics and their Real World Applications. ICDM Workshops (2013)
Yang Mu, Wei Ding, Tianyi Zhou, Dacheng Tao
Constrained stochastic gradient descent for large-scale least squares problem. KDD (2013)
Yang Mu, Wei Ding, Dacheng Tao
Local discriminative distance metrics ensemble learning. Pattern Recognit. 46 (8) (2013)
Kui Yu, Xindong Wu, Zan Zhang, Yang Mu, Hao Wang, Wei Ding
Markov Blanket Feature Selection with Non-faithful Data Distributions. ICDM (2013)
Wei Ding, Tomasz F. Stepinski, Yang Mu, Lourenço P. C. Bandeira, Ricardo Vilalta, Youxi Wu, Zhenyu Lu, Tianyu Cao, Xindong Wu
Subkilometer crater discovery with boosting and transfer learning. ACM Trans. Intell. Syst. Technol. 2 (4) (2011)
Yang Mu, Wei Ding, Dacheng Tao, Tomasz F. Stepinski
Biologically inspired model for crater detection. IJCNN (2011)
Yang Mu, Wei Ding, Melissa Morabito, Dacheng Tao
Empirical Discriminative Tensor Analysis for Crime Forecasting. KSEM (2011)
Bo Xie, Yang Mu, Dacheng Tao, Kaizhu Huang
m-SNE: Multiview Stochastic Neighbor Embedding. IEEE Trans. Syst. Man Cybern. Part B 41 (4) (2011)
Yang Mu, Dacheng Tao
Biologically inspired feature manifold for gait recognition. Neurocomputing 73 (4-6) (2010)
Bo Xie, Yang Mu, Mingli Song, Dacheng Tao
Random Projection Tree and Multiview Embedding for Large-Scale Image Retrieval. ICONIP (2) (2010)
Bo Xie, Yang Mu, Dacheng Tao
m-SNE: Multiview Stochastic Neighbor Embedding. ICONIP (1) (2010)
Yang Mu, Dacheng Tao, Xuelong Li, Fionn Murtagh
Biologically Inspired Tensor Features. Cogn. Comput. 1 (4) (2009)