Chieh-Yang

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

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

Video


News

I will join Microsoft Research as a research intern in 2022 summer! Looking forward to working on something cool!
Our paper, Guided K-best Selection for Semantic Parsing Annotation, is accepted by ACL 2022 as a demo paper.
Our paper, Distilling Salient Reviews with Zero Labels, is accepted by FEVER Workshop (co-located with ACL 2022) as a paper.
Our paper, Extracting Salient Facts from Company Reviews with Scarce Labels, is accepted by AIBSD 2022 (co-located with AAAI 2022) as a paper.
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)