Junming Yin

Visiting Assistant Professor of Business Technologies

Education

• University of California, Berkeley - Ph D (Electrical Engineering and Computer Sciences)
• University of California, Berkeley - MA (Statistics)

Research

• Topics: Crowdsourcing, Digital Marketing, Consumer Behavior, Network Analysis, FinTech, Healthcare
• Methodologies: Statistical Learning, Probabilistic Modeling and Variational Inference, Nonparametric and High-dimensional Statistics, Deep Generative Models

Publications

• Learning from Crowdsourced Multi-labeling: A Variational Bayesian Approach
  (author(s): J. Yin, J. Luo, S. A. Brown)
  Information Systems Research, 2021
• Relaxed Multivariate Bernoulli Distribution and Its Applications to Deep Generative Models
  (author(s): X. Wang and J. Yin)
  Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 124, 2020; 500-509
• Supervised Topic Modeling Using Hierarchical Dirichlet Process-Based Inverse Regression: Experiments on E-Commerce Applications
  (author(s): W. Li, J. Yin, H. Chen)
  IEEE Transactions on Knowledge and Data Engineering 30(6), 2018; 1192-1205
• Convex-constrained Sparse Additive Modeling and Its Extensions
  (author(s): J. Yin, Y. Yu)
  Proceedings of the 33rd Conference on Uncertainty in Artificial Intelligence (UAI), 2017
• Latent Space Inference of Internet-scale Networks
  (author(s): Q. Ho*, J. Yin*, E. P. Xing (*Equal contribution))
  Journal of Machine Learning Research 17(78), 2016; 1-41
• A Time-Varying Group Sparse Additive Model for Genome-Wide Association Studies of Dynamic Complex Traits
  (author(s): M. Marchetti-Bowick, J. Yin, J. Howrylak, E. P. Xing)
  Bioinformatics 32(19), 2016; 2903-2910
• Scalable Temporal Latent Space Inference for Link Prediction in Dynamic Social Networks
  (author(s): L. Zhu, D. Guo, J. Yin, G. Ver Steeg, A. Galstyan)
  IEEE Transactions on Knowledge and Data Engineering 28(10), 2016; 2765-2777
• Hypothesis Testing of Meiotic Recombination Rates from Population SNP Data
  (author(s): J. Yin)
  BMC Genetics 15(122), 2014
• GWAS in a Box: Statistical and Visual Analytics of Structured Associations via GenAMap
  (author(s): E. P. Xing, R. Curtis, G. Schoenherr, S. Lee, J. Yin, K. Puniyani, W. Wu, P. Kinnaird)
  PLOS ONE 9(6), 2014; e97524
• A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks
  (author(s): J. Yin, Q. Ho, E. P. Xing)
  Advances in Neural Information Processing Systems (NeurIPS), 2013
• On Triangular versus Edge Representations — Towards Scalable Modeling of Networks
  (author(s): Q. Ho, J. Yin, E. P. Xing)
  Advances in Neural Information Processing Systems (NeurIPS), 2012
• Group Sparse Additive Models
  (author(s): J. Yin, X. Chen, E. P. Xing)
  Proceedings of the 29th International Conference on Machine Learning (ICML), 2012
• Finding Genome-Transcriptome-Phenome Associations with Structured Association Mapping and Visualization in GenAMap
  (author(s): R. Curtis, J. Yin, P. Kinnaird, E. P. Xing)
  Proceedings of the Pacific Symposium on Biocomputing (PSB), 2012
• Joint Estimation of Gene Conversion Rates and Mean Conversion Tract Lengths from Population SNP Data
  (author(s): J. Yin, M. I. Jordan, Y. S. Song)
  Bioinformatics 25(12), 2009; i231-i239

Awards and Honors

• Sony Faculty Innovation Award (2021)
• Amazon AWS Machine Learning Research Award (2019)
• Adobe Faculty Research Award (2018)
• Best Paper Award, Workshop on Information Technologies and Systems (2018)
• Best Paper Award Runner-up, INFORMS Workshop on Data Science (2017)
• Ray and Stephanie Lane Fellowship (2011 - 2014)

Professional Activities

• Editorial Board, Journal of Machine Learning Research (2020 - )
• Associate Editor, International Conference of Information Systems (2020 - )
• Program Committee Member, Conference on Information Systems and Technology (2020 - )
• Program Committee Member, Workshop on Information Technologies and Systems (2018 - )
• Program Committee Member, INFORMS Workshop on Data Science (2017 - )
• Program Co-Chair, Workshop on Information Technologies and Systems (2021)
• Panelist, National Science Foundation (2017 - 2018)
• Associate Editor, International Conference of Information Systems (2016)