Chieh-Yang Huang 黃介揚

I am currently a third-year (or perhaps fourth-year) Ph.D. candidate in College of Information Sciences and Technology (IST), Penn State University. I am a research assistant in Dr. Kenneth Huang's amazing CrowdAI Lab, working on CrowdSourcing, Deep Learning, and Natural Language Processing projects. My work mainly focuses on building tools to help human's day-to-day life, especially writing and language-related works.

CV / Resume
You can also find me here

PhD in Informatics
2019 - present.
PhD in CS
2017 - 2018. (Transferred)
BS in EE
2010 - 2014



Just passed the Ph.D. Thesis Proposal ("Toward Intelligent Writing Support Beyond Completing Sentences")! I am now a Ph.D. candidate!
Just started my internship at Semantic Machines, Microsoft Research as a research intern in 2021 summer!
Our paper, Semantic Frame Forecasting, is accepted by NAACL 2021 as a full paper! You can find the code and dataset HERE on Github.
Our paper, Assessing the Helpfulness of Learning Materials with Inference-Based Learner-Like Agent, got accepted by EMNLP 2020 as a long paper. The code and the dataset is available HERE on github.
The paper for CODA-19 dataset, CODA-19: Using a Non-Expert Crowd to Annotate Research Aspects on 10,000+ Abstracts in the COVID-19 Open Research Dataset, has been officially accepted by the ACL 2020 workshop on Natural Language Processing for COVID-19.
Got nominated for Microsoft Research PhD Fellowship. (link)
Worked at Megagon Labs as a research intern.
Just passed the qualifying exam!
We released CODA-19, a human-annotation dataset on COVID-19 related papers that labels five aspects (Background, Purpose, Method, Finging, and Other) for each sentence.
Our paper, Heteroglossia: In-Situ Story Ideation with the Crowd, got accepted by CHI 2020!