Publications

Recent Manuscripts

  • Wang, H., Lengerich, BJ., Lee, MK. & Xing, EP. GenAMap on the Web: Visual Machine Learning for Next-Generation Genome Wide Association Studies
  • Wang, H., Lengerich, BJ., Aragam, B. & Xing, EP. Precision lasso: accounting for correlations and linear dependencies in high-dimensional genomic data
  • Wang, H., Aragam, B., Lee S., Xing, EP. & Wu, W Discovering Weaker Genetic Associations Guided by Known Associations, with Application to Alcoholism and Alzheimer's Disease Studies

Feel free to contact me if you are interested in reading the manuscripts. There are no arXiv verions because most of them are journal submissions

Publications

  • Wang, H., Aragam, B. & Xing, EP. (2017) Variable selection in heterogeneous datasets: a truncated-rank sparse linear mixed model with applications to genome-wide association studies In Bioinformatics and Biomedicine (BIBM), 2017 IEEE International Conference on. IEEE.
  • Wang, H., Liu, X., Xiao, Y., Xu, M. & Xing, EP. (2017) Multiplex Confounding Factor Correction for Genomic Association Mapping with Squared Sparse Linear Mixed Model In Bioinformatics and Biomedicine (BIBM), 2017 IEEE International Conference on. IEEE.
    • student award
  • Lee, S., Wang, H., & Xing, EP. Backward genome-transcriptome-phenome association mapping Methods, 129, 18-23.
  • Liu, X., Wang, H., Ye, W. & Xing, EP. Sparse variable selection in high dimensional heterogeneous data with tree structured responses arXiv preprint arXiv:1711.08265.
  • Ye, W. Liu, X. Wang, H. & Xing, EP. A Sparse Graph-structrued Lasso Mixed model for genetic association with confounding correction arXiv preprint arXiv:1711.04162.
  • Wang, H. & Raj, B. (2017) On the Origin of Deep Learning. arXiv preprint arXiv:1702.07800. PDF
    • previously known as "A survey: Time travel in deep learning space: An introduction to deep learning models and how deep learning models evolved from the initial ideas." PDF
    • potential textbook for CMU 11-785
    • Media (Chinese)
    • Media (Chinese)
  • Wang, H., Meghawat, A., Morency, L. P., & Xing, E. P. (2017) Select-Additive Learning: Improving Generalization in Multimodal Sentiment Analysis. ICME 2017.
  • Yang, J., Wang, H., Zhu, J., & Xing, E. P. (2016). SeDMiD for Confusion Detection: Uncovering Mind State from Time Series Brain Wave Data. TSW workshop NIPS 2016
  • Wang, H., & Yang, J. (2016, December). Multiple confounders correction with regularized linear mixed effect models, with application in biological processes. In Bioinformatics and Biomedicine (BIBM), 2016 IEEE International Conference on (pp. 1561-1568). IEEE.
  • Gupta, A., Wang, H., & Kumar, R. Sparse Network Inference using the k-Support Norm. MLG Workshop KDD 2016
  • Shen, R., Shen, J., Li, Y., & Wang, H. (2016, August). Predicting usefulness of Yelp reviews with localized linear regression models. In Software Engineering and Service Science (ICSESS), 2016 7th IEEE International Conference on (pp. 189-192). IEEE.
  • Gupta, A., Wang, H., & Ganapathiraju, M. (2015, November). Learning structure in gene expression data using deep architectures, with an application to gene clustering. In Bioinformatics and Biomedicine (BIBM), 2015 IEEE International Conference on (pp. 1328-1335). IEEE.
  • Moon, S., Kim, S., & Wang, H. Multimodal transfer deep learning for audio visual recognition. MMML Workshop NIPS 2015.
  • Xu, M., Wu, J., Du, Y., Wang, H., Qi, G., Hu, K., & Xiao, Y. (2014). Discovery of important crossroads in road network using massive taxi trajectories. KDD 2014
  • Luo, J. L., Luo, H. J., Li, A. M., & Wang, H. (2014). Localized Model to Segmentally Estimate Miles per Gallon (MPG) for Equipment Engines. In Applied Mechanics and Materials (Vol. 556, pp. 1069-1074). Trans Tech Publications.
  • Wang, H., Raza, A. A., Lin, Y., & Rosenfeld, R. (2013, December). Behavior analysis of low-literate users of a viral speech-based telephone service. In Proceedings of the 4th Annual Symposium on Computing for Development (p. 12). ACM.
  • Wang, H., Li, Y., Hu, X., Yang, Y., Meng, Z., & Chang, K. M. (2013, June). Using EEG to Improve Massive Open Online Courses Feedback Interaction. In AIED Workshops.
  • Wang, H., Li, L. X., Yang, X., & Lian, C. (2012). A Novel Chaotic Ant Swarm Based Clustering Algorithm for Clinical Prediction. Research Journal of Applied Sciences, Engineering and Technology, 4(20), 3981-3988.
  • Xu, M., Xie, F., Wang, H., & Chen, Z. (2012, January). A novel workflow based data processing platform as a service. In Computing, Communications and Applications Conference (ComComAp), 2012 (pp. 283-287). IEEE.