I graduated from University of Minnesota Duluth with B.S. in Computer Science and Statistics in May 2019.
My research interests are: Machine Learning, Deep Learning, Natural Language Processing, and Computational Biology.
Here are some projects I have worked on:
Sentence Representation Learning
- In the summer of 2018, I participated in the Fifth Frederick Jelinek Memorial Summer Workshop at Center for Language and Speech Processing (CLSP) at Johns Hopkins University. I was a member of the General-Purpose Sentence Representation Learning Team.
Multilingual Emoji Prediction on Twitter
- I took part in SemEval-2018 Task 2: Multilingual Emoji Prediction with Ted Pedersen. Our ensemble classifier ranked 18/47 in Subtask 1 English, and 5/20 in Subtask 2 Spanish.
- I am now improving the system with deep learning
Gene Selection for Survival Data with Glioma
- Within a pool of thousands of genes, which ones can be used to predict survival risks of brain tumor patients? In the fall of 2017, I conducted a biostatistics-centric UROP, investigating survival analysis and variable selection.
Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling
Alex Wang, Jan Hula, Patrick Xia, Raghavendra Pappagari, R. Thomas Mccoy, Roma Patel, Najoung Kim, Ian Tenney, Yinghui Huang, Katherin Yu, Shuning Jin, Berlin Chen, Benjamin Van Durme, Edouard Grave, Ellie Pavlick, Samuel R. Bowman. 2019. In Proceedings of ACL. [paper] [code]
Duluth UROP at SemEval-2018 Task 2: Multilingual Emoji Prediction with Ensemble Learning and Oversampling
Discovering Prognostic Genes for Glioma with Elastic Net and Stability Selection
Shuning Jin. 2018. In Proceedings of National Conference on Undergraduate Research (NCUR). [paper]