About Me

I graduated from University of Minnesota Duluth with B.S. in Computer Science and Statistics in 2019.

My research interests are: Machine Learning, Deep Learning, and Natural Language Processing.

Visiting research student at: Toyota Technological Institute at Chicago (2019), Johns Hopkins University (2018).

Research

Here are some projects I have worked on:

Sentence Representation Learning

Multilingual Emoji Prediction on Twitter

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.

Publications

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

Shuning Jin, Ted Pedersen. 2018. In Proceedings of International Workshop on Semantic Evaluation (SemEval). [paper] [code]

Discovering Prognostic Genes for Glioma with Elastic Net and Stability Selection

Shuning Jin. 2018. In Proceedings of National Conference on Undergraduate Research (NCUR). [paper]