Guanqun Yang 杨冠群
 |
Ph.D. Candidate in Computer Science Email: gyang16@stevens.edu or guanqun.yang@outlook.com Office: Room 433, Gateway South Hall (Google Map) Schedule: Check the calendar my availability before making an appointment. LinkedIn | GitHub | Google Scholar | Semantic Scholar | ORCID |
About Me
I am working to advance trustworthy language intelligence by asking the following three questions:
Tough Testing: Can we identify the misbehaviors of an NLP system through automatic stress tests?
Thorough Analysis: Can we interrogate the identified misbehaviors of an NLP system for insights to improve it?
Trustworthy Deployment: Can we inoculate an NLP system based on discovered insights before its deployment?
My current project is to achieve the three goals above for online content moderation.
I am fortunate to be advised by Prof. Xueqing (Susan) Liu. Before coming to Stevens, I received my master's degree in Electrical and Computer Engineering from UCLA in 2019. I was working with Prof. Quanquan Gu and Prof. Vwani P. Roychowdhury on the theoretical and application aspect of algorithmic fairness in machine learning systems (my master thesis). I received my Bachelor's degree in Electrical Engineering from Northeastern University, China in 2017.
Education
Recent Activities
[2023-07-11] Gave a tutorial on AI and ChatGPT to underrepresented high school students. You can find full details in my post on LinkeIn. The slide and notebook is available on GitHub.
Miscellaneous
Besides NLP research, I love opera, live music (classical and not-so classical alike), and hiking. See my reviews of the performances and trail routes here.
I am also on Twitter, click the icon to follow.