I work as an applied scientist at Pinterest since 2016.

Prior to joining Pinterest, I obtained my Ph.D in Computer Science at University of Pittsburgh, where I was a research assistant under Professor Milos Hauskrecht. My research work focuses on clinical time series modeling.

I was also fortunate to work as a research intern at Alibaba Group(2015), Yahoo! Labs(2014), eBay Research Lab(2013), and a software engineer intern at Google(2012).


Publication

  • Y. Yan, Z. Liu, M. Zhao, W. Tao, P. Yan, and Y. Bao. A Practical Deep Online Ranking System in E-commerce Recommendation. ECML, 2018. PDF

  • W. Luo, F. Liu, Z. Liu and D. Litman. A Novel ILP Framework for Summarizing Content with High Lexical Variety. Journal of Natural Language Engineering, 2018. PDF

  • Z. Liu, Y. Yan, M. Hauskrecht. A Flexible Forecasting Framework for Hierarchical Time Series with Seasonal Patterns: A Case Study of Web Traffic. SIGIR, 2018. PDF

  • C. Eksombatchai, P. Jindal, Z. Liu, Y. Liu, R. Sharma, C. Sugnet, M. Ulrich, J. Leskovec. Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time. WWW, 2018. PDF

  • Z. Liu and M. Hauskrecht. A Personalized Predictive Framework for Multivariate Clinical Time Series via Adaptive Model Selection. CIKM, 2017. PDF

  • W. Luo, F. Liu, Z. Liu and D. Litman. Automatic Summarization of Student Course Feedback. NAACL, 2016. PDF

  • Z. Liu and M. Hauskrecht. Learning Linear Dynamical Systems from Multivariate Time Series: A Matrix Factorization Based Framework. SDM, 2016. PDF Supplemental Material

  • Z. Liu and M. Hauskrecht. Learning Adaptive Forecasting Models from Irregularly Sampled Multivariate Clinical Data. AAAI, 2016. PDF Supplemental Material

  • Z. Liu and M. Hauskrecht. A Regularized Linear Dynamical System Framework for Multivariate Time Series Analysis. AAAI, 2015. PDF Supplemental Material

  • Z. Liu, Y. Yan, J. Yang and and M. Hauskrecht. Missing Value Estimation for Hierarchical Time Series: A Study of Hierarchical Web Traffic. ICDM, 2015. PDF

  • M. Pakdaman, I. Batal, Z. Liu, C. Hong and M. Hauskrecht. An Optimization-based Framework to Learn Conditional Random Fields for Multi-label Classification. SDM, 2014. PDF

  • Z. Liu, L. Wu and M. Hauskrecht. Modeling Clinical Time Series Using Gaussian Process Sequences. SDM, 2013. PDF