Yale Chang

Yale Chang


photo_yalechang I am a Research Scientist (Machine Learning for Healthcare) at Philips Research North America.
I finished my PhD at Northeastern University under the supervision of Professor Jennifer Dy in December 2017.
Prior to my PhD, I obtained my Bachelor's degree from Tsinghua University in July 2012.
Here is my email:

Research Interests

I'm interested in developing machine learning algorithms to improve healthcare. The overall objective is to find the right treatment for the right patient at the right time. The projects I'm working on include I'm also very interested in the following topics in machine learning

Selected Publications

  1. Yale Chang, Junxiang Chen, Michael Cho, Peter Castaldi, Edwin Silverman, Jennifer Dy.
    Multiple Clustering Views from Multiple Uncertain Experts [Link]
    International Conference on Machine Learning (ICML-2017), Sydney, Australia, Aug 2017

  2. Yale Chang, Junxiang Chen, Michael Cho, Peter Castaldi, Edwin Silverman, Jennifer Dy.
    Clustering from Multiple Uncertain Experts [Link]
    International Conference on Artificial Intelligence and Statistics (AISTATS-2017), Fort Lauderdale, Florida USA, Apr 2017

  3. Yale Chang, Junxiang Chen, Michael Cho, Peter Castaldi, Edwin Silverman, Jennifer Dy.
    Clustering with Domain-Specific Usefulness Scores [Link]
    SIAM International Conference on Data Mining (SDM-2017), Houston, Texas USA, Apr 2017

  4. Yale Chang, Jennifer Dy.
    Informative Subspace Learning for Counterfactual Inference [Link]
    AAAI Conference on Artificial Intelligence (AAAI-2017), San Francisco, California USA, Feb 2017

  5. Yale Chang, Yi Li, Adam Ding, Jennifer Dy.
    A Robust-Equitable Copula Dependence Measure for Feature Selection [Link]
    International Conference on Artificial Intelligence and Statistics (AISTATS-2016), Cadiz, Spain, May. 2016

  6. Yale Chang, Kimberly Glass, Yang-Yu Liu, Edwin K. Silverman, James D. Crapo, Ruth Tal-Singer, Russ Bowler, Jennifer Dy, Michael Cho, Peter Castaldi.
    COPD Subtypes Identified by Network-Based Clustering of Blood Gene Expression [Link]
    Journal of Genomics (2016)

  7. Junxiang Chen, Yale Chang, Brian Hobbs, Peter Castaldi, Michael Cho, Edwin Silverman, Jennifer Dy.
    Interpretable Clustering via Discriminative Rectangle Mixture Model [Link]
    International Conference on Data Minining (ICDM-2016), Barcelona, Spain, Dec 2016

  8. Junxiang Chen, Yale Chang, Peter Castaldi, Michael Cho, Brian Hobbs, Jennifer Dy.
    Crowdclustering with Partition Labels [Link]
    International Conference on Artificial Intelligence and Statistics (AISTATS-2018), Lanzarote, Spain, Apr. 2018

  9. Adel Boueiz, Yale Chang, Michael Cho, George Washko, Raul San Jose Estepar, Russell Bowler, James Crapo, Dawn Demeo, Jennifer Dy, Edwin Silverman, Peter Castaldi
    Lobar Emphysema Distribution is Associated with 5-Year Radiological Disease Progression [Link]
    Journal of Chest (2018)

  10. Adel Boueiz, Yale Chang, Michael Cho, Dawn Demeo, Jennifer Dy, Peter Castaldi
    Machine Learning Prediction of 5-year Progression of FEV1 in the COPDGene Study [Link]
    American Thoracic Society 2018 International Conference

  11. Peter Castaldi, Jennifer Dy, James Ross, Yale Chang, George R. Washko, Douglas Curran-Everett, Andre Williams et al.
    Cluster Analysis in the COPDGene Study Identified Subtypes of Smokers with Distinct Patterns of Airway Disease and Emphysema. [Link]
    Journal of Thorax (2014)

  12. Adam Ding, Jennifer Dy, Yi Li, Yale Chang
    A Robust-Equitable Measure for Feature Ranking and Selection [Link]
    Journal of Machine Learning Research (JMLR-2017)

  13. Yi Li, Yale Chang, Thomas Vandal, Debasish Das, Adam Ding, Auroop Ganguly, Jennifer Dy.
    Copula Based Covariate Selection in Climate For Statistical Downscaling [Link]
    International Workshop on Climate Informatics Boulder, CO, US, 2015

  14. James Ross, Peter Castaldi, Michael Cho, Junxiang Chen, Yale Chang, Jennifer Dy, Edwin Silverman, George Washko, Raul San Jose Estepar.
    A Bayesian Nonparametric Model for Disease Subtyping: Application to Emphysema Phenotypes [Link]
    IEEE Transactions on Medical Imaging 2017


Professional Service

Workflow chair of ICML (2018)

Program committee of ICML (2017, 2019), NIPS (2017, 2018), ICLR (2018, 2019), AAAI (2019), AISTATS (2019), JMLR (2018), PAMI (2018)

External reviewer of: NIPS (2013, 2014, 2015), ICML (2015), AISTATS (2016), JMLR (2015, 2016), AAAI (2014), UAI (2015)