About Me

I am a PhD student at Rutgers University since Fall 2020. I graduated from University of Minnesota Duluth with B.S. in Computer Science and Statistics   I was a visiting research student at Toyota Technological Institute at Chicago and Johns Hopkins University   My research interests are Machine Learning, Deep Learning, and Natural Language Processing     CV  


@ TTIC SLG: I worked with Karen Livescu, Sam Wiseman, and Karl Stratos at the Speech and Language Group of Toyota Technological Institute at Chicago.

@ JHU CLSP: I participated in the Fifth Frederick Jelinek Memorial Summer Workshop at Center for Language and Speech Processing at Johns Hopkins University. I was a member of the General-Purpose Sentence Representation Learning Team cookie monster

@ Duluth NLP: I worked with Ted Pedersen and participated in several SemEval shared tasks: SemEval-2018 Task 2 Multilingual Emoji Prediction, SemEval-2020 Task 7 Assessing Humor in Edited News Headlines.


Duluth at SemEval-2020 Task 7: Using Surprise as a Key to Unlock Humorous Headlines

Shuning Jin, Yue Yin, XianE Tang, Ted Pedersen. SemEval 2020 (to appear).
paper code

Discrete Latent Variable Representations for Low-Resource Text Classification

Shuning Jin, Sam Wiseman, Karl Stratos, Karen Livescu. ACL 2020.
paper code bib | video slides ACL portal

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. ACL 2019.
paper code bib | poster

Duluth UROP at SemEval-2018 Task 2: Multilingual Emoji Prediction with Ensemble Learning and Oversampling

Shuning Jin, Ted Pedersen. SemEval 2018.
paper code bib

Discovering Prognostic Genes for Glioma with Elastic Net and Stability Selection

Shuning Jin. National Conference on Undergraduate Research 2018.