Heeyoung Kwon

heeyoungkwon AT meta.com

Research Scientist at Meta, AI Agents under GenAI Org
Previously worked at Instagram Feed Ranking
Graduated with a PhD in Computer Science from Stony Brook University, advised by Niranjan Balasubramanian.
NLP, Knowledge Representation, and Deep Learning. [CV]
+ Photography, Crossfit

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

• 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)

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