Yang Mu      Yang's name in Chinese
Research Scientist at Facebook Inc.,
1 Hacker way, Menlo Park, CA 94025
Email: yangmu_AT_cs.umb.edu

I joined Ads Integrity Optimization team in Facebook as a Research Scientist in September 2015.

Yang Mu received Ph.D degree from UMass Boston in August 2015 advised by Dr. Wei Ding. He received his B.S degree from Jilin University, Changchun, China in 2008. From December 2008 to June 2010, he was a research assistant with the School of Computer Engineering at Nanyang Technological University, Singapore, where he worked with Dr. Dacheng Tao. His research interests include machine learning and computer vision.

Research | Resume | Courses | Google Scholar

Teaching cs105 s14, f13

Publications

Journal papers

  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): 2397-2409, (2014)
  2. Yang Mu, Wei Ding and Dacheng Tao: Local Discriminative Distance Metrics Ensemble Learning. Pattern Recognition, (PR) 46(8): 2337-2349, (2013) [pdf] [code] [project]
  3. Wei Ding, Tomasz F. Stepinski, Yang Mu, et al: Subkilometer Crater Discovery with Boosting and Transfer Learning. ACM Transactions on Intelligent Systems and Technology,(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,(TSMC-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)

Conference papers

  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) [slides]
  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) (Full paper acceptance rate: 94/809 = 11.6%)
  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) (Acceptance rate: 126/726 = 17.4%) [pdf] [code] [poster]
  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)

Other papers

  1. Yang Mu, Wei Ding, Xiang Ren, Elizabeth Oberlin and Samuel Kounaves, Gaussian Noise Removal for Wet Chemistry Data from the Phoenix Mission, in Proc. of 45nd Lunar and Planetary Science Conference (LPSC), the Woodlands, TX, March, 2014
  2. Yang Mu, Henry Lo, Kevin Amaral, Wei Ding, Scott Crouter, Discriminative Accelerometer Patterns in Children Physical Activities, the 3rd International Conference on Ambulatory Monitoring of Physical Activity and Movement (ICAMPAM), Amherst, MA, June, 2013
  3. K. Amaral, Y. Mu, H. Lo, W. Ding, S. E. Crouter, Two-Tiered Machine Learning Model for Estimating Energy Expenditure in Children, the 3rd International Conference on Ambulatory Monitoring of Physical Activity and Movement (ICAMPAM), Amherst, MA, June, 2013
  4. Yang Mu, Henry Lo, Wei Ding: Tensor regression model for Crime Prediction, the 9th American Institute of Mathematical Sciences Conference (AIMS), Orlando, Florida, July, 2012
  5. William Miller, Tomasz F. Stepinski, Yang Mu and Wei Ding, Cascading Crater Detection with Active Learning, in Proc. of 42nd Lunar and Planetary Science Conference (LPSC), the Woodlands, TX, March, 2011

Reviewer

Journal

  • IEEE Transactions on Cybernetics (TCYB)
  • Pattern Recognition (PR)
  • IEEE Transactions on Knowledge and Data Engineering (TKDE)
  • IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
  • IEEE Transactions on Intelligent Transportation Systems (TITS)
  • Knowledge and Information Systems (KAIS)
  • ACM Transactions on Intelligent Systems and Technology (TIST)
  • Neurocomputing
  • Signal Processing
  • Neural Processing Letters

Conference

  • ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2012, 2013, 2014
  • IEEE International Conference on Data Mining series (ICDM) 2010, 2011, 2012, 2013, 2014
  • ACM International Conference on Information and. Knowledge Management (CIKM)2011, 2012
  • SIAM International Conference on Data Mining (SDM) 2011, 2012
  • European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD)2011, 2013
  • IEEE International Conference on Tools with Artificial Intelligence (ICTAI) 2011
  • ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL) 2010, 2011, 2012