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I am Yuanyang (YY) Zhang, Applied Scientist at Turn Inc., Redwood City, CA

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Yuanyang Zhang

Applied Scientist

Turn Inc., Redwood City, CA

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What's New

Augest 24th, 2016

I have defeated my Ph.D. thesis!

Augest 4th, 2016

I am starting working at Turn Inc., Redwood City as Applied Scientist.

Personal Information

I am Yuanyang Zhang, Applied Scientist at Turn Inc., Redwood City, CA. I graduated with my Ph.D. from Computer Science Department at University of California, Santa Barbara.

My primary interests are Machine Learning, Data Mining and Statistics. I have mostly focused on probabilistic modeling, time-series analysis, temporal relationship and survival analysis during my Ph.D. years. I am currently working on machine learning and data mining problems in Ad-tech industry, in real-time bidding problems specifically.

I believe that, predicting an event will happen or not is very interesting, but predicting when an event will happen is more interesting. Understanding static data is very important, but understanding temporal patterns is more important. I love the beauty and complexity of the role that time is playing in the data.

I am also interested in scalable web applications and building some cool services.

Phone: (805) 886-5375       Email: zhangyy1209 [at] gmail.com

Experience

  • Turn Inc., Redwood City, CA

    • Applied Scientist, Aug. 2016 - present.

  • AppFolio Inc., Santa Barbara, CA

    • Intern, Summer 2015.

  • Microsoft Research Asia, Beijing, China

    • Research Intern, Sept. 2009 - Feb. 2010

Publications

  • Survival Topic Models for Predicting Outcomes for Trauma Patients

    • Yuanyang Zhang, Richard Jiang and Linda Petzold
    2nd International Workshop on Health Data Management and Mining 2017 (To appear).

  • Identification of Disease States Associated with Coagulopathy in Trauma

    • Yuanyang Zhang, Tie Bo Wu, Bernie J Daigle Jr, Mitchell Cohen and Linda Petzold
    BMC Medical Informatics and Decision Making, 16.1 (2016): 124.

  • A Multi-Metric Evaluation of Stratified Random Sampling for Classification: A Case Study

    • Gunjan S Thakur, Bernie J Daigle Jr., Meng Qian, Kelsey R Dean, Yuanyang Zhang, Ruoting Yang,Taek-Kyun Kim, Xiaogang Wu, Meng Li, Inyoul Lee, Linda R Petzold, and Francis J Doyle III
    The IEEE Life Sciences Letters.

  • A Cure Time Model for Joint Prediction of Outcome and Time-to-Outcome

    • Yuanyang Zhang, Bernie J Daigle Jr, Mitchell Cohen and Linda Petzold
    The IEEE International Conference on Data Mining 2015 (ICDM 2015).

  • Systems Biology Approach to Understanding Post-Traumatic Stress Disorder

    • Gunjan S Thakur, Bernie J Daigle Jr, Kelsey Dean, Yuanyang Zhang, Maria Rodriguez- Fernandez, Rasha Hammamieh, Ruoting Yang, Marti Jett, Joseph Palma, Linda R Petzold, Francis J Doyle III
    Molecular BioSystems 11 (4), 980-993.

  • Data-Driven Mortality Prediction for Trauma Patients

    • Yuanyang Zhang, Bernie Daigle, Lisa Ferrigno, Mitchell Cohen and Linda Petzold
    Invited talk on 2014 Machine Learning in Computation Biology workshop at the Annual Conference on Neural Information Processing Systems (NIPS 2014).

  • Toward a data-driven model of trauma dynamics

    • Linda Petzold, Yuanyang Zhang, Bernie Daigle, Lisa Ferrigno, Mitchell Cohen
    Journal of Critical Care 28.6 (2013): e37-e37.

  • Fine-grained channel access in wireless LAN

    • Ji Fang, Kun Tan, Yuanyang Zhang, Shouyuan Chen, Lixin Shi, Jiansong Zhang, Yongguang Zhang, Zhenhui Tan
    IEEE/ACM Transactions on Networking (TON) 21.3 (2013): 772-787.

  • I am the antenna: accurate outdoor ap location using smartphones

    • Zengbin Zhang, Xia Zhou, Weile Zhang, Yuanyang Zhang, Gang Wang, Ben Y Zhao, Haitao Zheng
    Proceedings of the 17th annual international conference on Mobile computing and networking. ACM, 2011 (MobiCom 2011).

  • Fine-grained channel access in wireless LAN

    • Kun Tan, Ji Fang, Yuanyang Zhang, Shouyuan Chen, Lixin Shi, Jiansong Zhang, Yongguang Zhang
    SIGCOMM '10 Proceedings of the ACM SIGCOMM 2010 conference (SIGCOMM 2010).

Courses

  • Computer Science

    • CS290B Scalable Internet Service
    CS290B Clouding Computing
    CS263 Programming Language Runtime Systems
    CS211B Numerical Simulation
    CS209 Logics in Computer Science
    CS211A Matrix Analysis and Computation
    CS290D Advanced Data Mining
    CS230 Design and Analysis of Algorithms
    CS284 Mobile Computing
    CS276 Advanced Topics in Networking
    CS290F Mobile Computing

  • Statistics

    • PSTAT275 Survival Analysis
    PSTAT225 Linear and Nonlinear Mixed Effect Models
    PSTAT207A,B Statistical Theory
    PSTAT213A,B Introduction to Probability Theory and Stochastic Processes

  • Machine Learning Summer School, 2014

    • Topics about deep learning, Bayesian optimization, scaling machine learning.