My name is Yupei Lin. I am a senior student at University of Wisconsin-Madison, I major in computer science and minor in Mathematics.
I am interested in Computational biology and Bioinformatics, particularly in interdiciplinary studies of computer science, mathematics, statistics to solve biology based problems. My current research interests are to work on developing computational and statistical models to annotate the human genome and explore genetic architecture of complex human diseases. I'm currently developing a statistical framework to identify variance-associated genetic loci by quantile regresison and hopefully interpret GxG and GxE interactions.
My advisor is Professor Qiongshi Lu.
Zhao Z, Yi Y, Wu Y, Zhong X, Lin Yupei , Hohman T.J., Fletcher J., Lu Q. Manuscript submitted for publication. Oct 2019. View
Huang K, Wu Y, Shin J, Zheng Y, Siahpirani A, Lin Yupei, Ni Z, Chen J, You J, Keles S, Wang D, Roy S, Lu Q. Manuscript submitted for publication. Nov 2019. View
Manuscript in preparation.
Realize both artistic style transfer and realism style transfer by implementing Neural Style Algorithm and Deep Style Transfer with CPU based on Tensorflow.
Its main goal of this project to reimplement Deep Photo Style Transfer (Luan et al., 2017), which can faithfully transfer the input image into the style of reference image while preserve the content of the original input image with a deep-learning method. And we want to create a GUI online so everyone can access to it easily to transfer style of their images.
This project wins second place on Kaggle competition to predict Yelp categorical data based on Yelp open reviews by applying Term-Frequency Inverse Data Frequency to top 4000 features to construct a regression-prediction
In this project, we use the following model to address first two purposes: model Debris Clearance Scheduling Model (DCSM) which schedules the road restoration to maximize total weighted earliness under a set of scenarios. Once we gain the total earliness for each district under those scenarios, we solve equipment allocation resources by using Equipment Allocation Model (EAM). We have a modified version of EAM to compare performance of different districts and finally and Resource Distribution model to give out resources on the restored path.
Video editing for promotion video for Dancas Showcase, Spring Festival Dancas performance
Attend organizing events from writing proposal to fulfill the actual event.
Post information on public media like Wechat and Facebook for Chinese Undergraduate students
Assist customers with their technological problems such as canvas, office365, online learning software.
Provide excellent customer service to users both on and off-campus via phone, email, and chat.
Receive scholarship to attend 2018 Grace Hopper Celebration
Attend weekly talk by faculty member, attend one-to-one mentor program.
Assisting the communications committee and social media communication including LinkedIn.