I am Yuanyang Zhang, a computer science Ph.D. student from University of California, Santa Barbara.
I am currently looking for internship at Summer 2015.
I am going to NIPS computational biology workshop to present our work in predicting mortality with time-series clinical data.
I am going to the Machine Learning Summer School in Carnegie Mellon University.
I am Yuanyang Zhang, a computer science Ph.D. student in University of California, Santa Barbara. My advisor is Prof. Linda Petzold. I received my bachelor degree at Beihang University in 2010.
My primary interests are Data Mining, Machine Learning, Statistics and Bioinformatics, especially with clinical data, time-series data and survival analysis. I am interested in building probabilistic models to solve these problems.
Meanwhile, I am interested in big data, especially with distributed machine learning algorithms and deep learning.
I am also interested in scalable web application design and building some cool services.
Phone: (805) 886-5375 Email: zhangyy1209 [at] gmail.com
Designed a cure model to make predictions of the mortality of trauma patients by using their static data.
Applied hidden Markov model to identify the blood states in trauma patients by using their temporal data.
Designed a temporal logistic regression model with elastic net to predict the mortality of trauma patients using both static and temporal data, which have a large amount of missing values.
Modified the gene set enrichment analysis algorithm and applied on PTSD gene expression, methylation and mRNA data to obtain a list of significant GO terms and pathways.
Applied linear model to identify the impact of each intervention, such as red blood cells and plasma, to the measurements, such as protein C and pH value, by using trauma clinical data.
Derived the lower and upper bound of the expectation of cut when partitioning a scale-free graph into two parts, by using the preferential attachment model.
Gunjan Thakur, Bernie Daigle, Kelsey Dean, Yuanyang Zhang, Maria Rodriguez-Fernandez, Rasha Hammamieh, Ruoting Yang, Marti Jett, Joseph Palma, Linda Petzold, Francis Joseph Doyle III
Molecular BioSystems (2015): 11, 980-993
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).
Linda Petzold, Yuanyang Zhang, Bernie Daigle, Lisa Ferrigno, Mitchell Cohen
Journal of Critical Care 28.6 (2013): e37-e37.
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.
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).
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).
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
PSTAT275 Survival Analysis
PSTAT225 Linear and Nonlinear Mixed Effect Models
PSTAT207A,B Statistical Theory
PSTAT213A,B Introduction to Probability Theory and Stochastic Processes
Topics about deep learning, Bayesian optimization, scaling machine learning.