Wang, Shufan 王舒帆

MS/PhD student

College of Information and Computer Science

University of Massachusetts Amherst

Address: Rm 266, Computer Science Building

140 Governors Drive, Amherst, MA 01003

Email: shufanwang AT umass DOT edu

About Me

This is Shufan and I am a fourth year computer science MS/PhD student at UMass Amherst. My research interests lie mostly in the area of natural language processing and machine learning. I am advised by Professor Mohit Iyyer, in the UMass NLP Lab. Throughout my journey in research, I am also fortunate enough to collaborate with the awesome Dan Sheldon and Nanyun Peng. Previously I completed my bachelor degree from Trinity College in Connecticut.


Phrase-BERT: Improved Phrase Embeddings from BERT with an Application to Corpus Exploration
Shufan Wang, Laure Thompson, and Mohit Iyyer
Conference on Empirical Methods in Natural Language Processing (EMNLP), long paper, 2021
[Paper] [Code]

STORIUM: A Dataset and Evaluation Platform for Machine-in-the-Loop Story Generation
Nader Akoury, Shufan Wang, Josh Whiting, Stephen Hood, Nanyun Peng and Mohit Iyyer
Conference on Empirical Methods in Natural Language Processing (EMNLP), long paper, 2020
[Paper] [Code]

General-Purpose Differentially-Private Confidence Intervals
Cecilia Ferrando, Shufan Wang, Daniel Sheldon
In Theory and Practice of Differential Privacy (TPDP), Conference Paper, 2020
[Paper] [Code]

Casting Light on Invisible Cities: Computationally Engaging with Literary Criticism
Shufan Wang, Mohit Iyyer
North American Chapter of the Association for Computational Linguistics (NAACL), Short Paper, 2019

Evolving Network Structure of Academic Institutions
Shufan Wang, Mariam Avagyan, and Per Sebastian Skardal
Applied Network Science 2, 1, 2017
[Paper] [Press]


  • Fall 2020 - COMPSCI-685 Advanced Natural Language Processing (Teaching Assistant)
  • Fall 2020 - COMPSCI-585 Natural Language Processing (Teaching Assistant)
  • Spring 2019 - COMPSCI-105 Computer Literacy (Teaching Assistant)
  • Fall 2018 - COMPSCI-121 Introduction to Problem Solving with Computers (Teaching Assistant)