Heeyoung Kwon

hykwon87 AT gmail.com

Graduated with a PhD in Computer Science from Stony Brook University, advised by Niranjan Balasubramanian.
NLP, Knowledge Representation, and Deep Learning. [CV]
+ Photography, Crossfit

Work Experience

Research Scientist at Meta, Dec. 2020 - Feb. 2025
AI Studio Capabilities under GenAI Org, Apr. 2024 - Feb. 2025
Instagram Feed Ranking, Feb. 2021 - Mar. 2024
Facebook, Summer 2019
Software Engineering Intern, Instagram Search Ranking Team

Allen Institute for Artificial Intelligence, Jan 2018 ~ Apr 2018
Research Intern, Aristo Team (Question Answering)

Publication

Toward Diverse Precondition Generation [PDF] [Project Page]
Heeyoung Kwon, Nathanael Chambers and Niranjan Balasubramanian
*SEM 2021
Modeling Preconditions in Text with a Crowd-sourced Dataset [PDF] [Project Page]
Heeyoung Kwon, Mahnaz Koupaee, Pratyush Singh, Gargi Sawhney, Anmol Shukla, Keerthi Kumar Kallur,
Nathanael Chambers and Niranjan Balasubramanian
Findings of EMNLP 2020
Generating Narrative Text in a Switching Dynamical System [PDF]
Noah Weber, Leena Shekhar, Heeyoung Kwon, Niranjan Balasubramanian and Nathanael Chambers
CoNLL 2020
Modeling Label Semantics for Predicting Emotional Reactions [PDF]
Radhika Gaonkar, Heeyoung Kwon, Mohaddeseh Bastan, Niranjan Balasubramanian and Nathanael Chambers
ACL 2020.
Repurposing Entailment for Multi-Hop Question Answering Tasks [PDF]
Harsh Trivedi, Heeyoung Kwon, Tushar Khot, Ashish Sabharwal, Niranjan Balasubramanian
NAACL 2019.
Controlling Information Aggregation for Complex Question Answering [PDF] [Poster]
Heeyoung Kwon, Harsh Trivedi, Peter Jansen, Mihai Surdeanu and Niranjan Balasubramanian
ECIR 2018.
A Domain-Agnostic Approach to Spam-URL Detection via Redirects [PDF] [Slide] [Data]
Heeyoung Kwon, Mirza Basim Baig, Leman Akoglu
PAKDD 2017.
Cross Sentence Inference for Process Knowledge Extraction [PDF]
Samuel Louvan, Chetan Naik, Sadhana Kumaravel, Heeyoung Kwon, Niranjan Balasubramanian, and Peter Clark
EMNLP 2016.
Recognizing Cultural Events in Images: a Study of Image Categorization Models [PDF]
Heeyoung Kwon, Kiwon Yun, Minh Hoai, Dimitris Samaras
Computer Vision and Pattern Recognition ChaLearn Looking at People workshop, CVPR 2015

Work Experience

Teaching Experience

Guest Lecture: Introduction to Recurrent Neural Network, Fall 2018
- CSE538: Natural Language Processing
Teaching Assistant, CSE628: Natural Language Processing, Spring 2017
- Guest Lecture: Introduction to Recurrent Neural Network
- Guest Lecture: Question Answering
Guest Lecture: Support Vector Machine, Fall 2016
- CSE527: Artificial Intelligence
Teaching Assistant, CSE512: Machine Learning, Spring 2016
Teaching Assistant, CSE305: Principles of Database Systems, Fall 2015