Yang Mu      Yang's name in Chinese

Education      Work Experience      Journal      Conference      Awards and Honours      

Department of Computer Science
University of Massachusetts Boston
100 Morrissey Boulevard
Boston, MA 02125-3393
Email: yangmu_AT_cs.umb.edu


Ph.D, August 2015, University of Massachusetts Boston, Computer Science.

B.S, June 2008, Jilin University, Computer Science and Technology.

Work Experience

Research Scientist
Ads Integrity Optimization
Menlo Park, California, US.
Research Intern
Bellevue, Washinton, US.
Research Assistant
School of Computer Science Engineering
Nanyang Technological University
Research Assistant
Department of Computing
Hong Kong Polytechnic University
Hong Kong, China.
SDE Intern
Education team
Microsoft Advanced Technology Center (ATC)
Beijing, China.

Peer-Reviewed Journal Articles

  1. Yang Mu, Henry Lo, Wei Ding, Kevin Amaral, and Scott Crouter: Bipart: Learning Block Structure for Activity Detection. IEEE Transactions on Knowledge and Data Engineering, (TKDE), 26(10): 2397-2406, (2014)
  2. Yang Mu, Wei Ding, Dacheng Tao: Local Discriminative Distance Metrics Ensemble Learning. Pattern Recognition (PR), 46(8): 2337-2349, (2013)
  3. Wei Ding, Tomasz F. Stepinski, Yang Mu, Lourenšo P. C. Bandeira, Ricardo Vilalta, Youxi Wu, Zhenyu Lu, Tianyu Cao, Xindong Wu: Subkilometer Crater Discovery with Boosting and Transfer Learning.ACM Transactions on Intelligent Systems and Technology ACM TIST, 2(4): 39 (2011)
  4. Bo Xie, Yang Mu, Dacheng Tao, Kaizhu Huang: m-SNE: Multiview Stochastic Neighbor Embedding. IEEE Transactions on Systems, Man, and Cybernetics,Part B (SMC, Part B) 41(4): 1088-1096 (2011)
  5. Yang Mu, Dacheng Tao: Biologically Inspired Feature Manifold for Gait Recognition. Neurocomputing 73(4-6): 895-902 (2010)
  6. Yang Mu, Dacheng Tao, Xuelong Li, Fionn Murtagh: Biologically Inspired Tensor Features. Cognitive Computation 1(4): 327-341 (2009)

Peer-Reviewed Conference Articles

  1. Yang Mu, Henry Lo, Wei Ding and Dacheng Tao, Face Recognition from Multiple Images per Subject. ACM International Conference on Multimedia(ACM MM), Orlando, Florida, November, (2014)
  2. Yang Mu and Wei Ding, Local Discriminative Distance Metrics and Their Real World Applications. IEEE International Conference on Data Mining, Phd forum (ICDMW), Dallas, Texas, December,(2013)
  3. Kui Yu, Xindong Wu, Zan Zhang, Yang Mu, Hao Wang, and Wei Ding, Markov Blanket Feature Selection with Non-Faithful Data Distributions. IEEE International Conference on Data Mining (ICDM), Dallas, Texas, December,(2013)
  4. Yang Mu, Wei Ding, Tianyi Zhou, Dacheng Tao, Constrained Stochastic Gradient Descent for Large-scale Least Squares Problem. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD), Chicago, Illinois, August, (2013)
  5. Yang Mu, Wei Ding, Dacheng Tao, Tomasz F. Stepinski, Biologically Inspired Model for Crater Detection. International Joint Conference on Neural Networks (IJCNN), San Jose, CA, August, (2011)
  6. Yang Mu, Wei Ding, Melissa Morabito, Dacheng Tao, Empirical Discriminative Tensor Analysis for Crime Forecasting.International Conference on Knolwege Science, Engineering and Management (KSEM), Irvine, CA, December, (2011)
  7. Bo Xie, Yang Mu, Dacheng Tao: m-SNE: Multiview Stochastic Neighbor Embedding. International Conference on Neural Information Processing (ICONIP), Sydney, Australia, November, (2010)
  8. Bo Xie, Yang Mu, Mingli Song, Dacheng Tao: Random Projection Tree and Multiview Embedding for Large-Scale Image Retrieval. International Conference on Neural Information Processing (ICONIP), Sydney, Australia, November, (2010)"

Awards and Honours