Hyeong Kyu Choi
Hey there! I'm Hyeong-Kyu (Froilan) [최형규]
I'm a PhD student and a Research Assistant at University of Wisconsin-Madison Computer Sciences department, where I am fortunate to be advised by prof. Sharon Yixuan Li. I've also worked with prof. Hyunwoo J. Kim as a Master's student in the Computer Science and Engineering department at Korea University.
My research largely centers around making AI more generally applicable in real-world environments. Here, the term "general" refers not only to being robust to unseen data or environments, but also being easily adaptable to new settings and/or flexibly applied to diverse circumstances. I have been contemplating about generalizable AI in various contexts including computer vision, natural language processing, knowledge graphs, reinforcement learning, efficient deep learning, and financial machine learning.
Current Research Interests
AI Alignment and Human Preferences
Robust and Generalizable AI
Open-world Machine Learning
Contact : hyeongkyu.choi [at] wisc [dot] edu
Selected Publications
PICLe: Eliciting Diverse Behaviors from Large Language Models with Persona In-Context Learning
Hyeong Kyu Choi, Yixuan Li
International Conference on Machine Learning (ICML), 2024NuTrea: Neural Tree Search for Context-guided Multi-hop KGQA
Hyeong Kyu Choi, Seunghun Lee, Jaewon Chu, Hyunwoo J. Kim
Advances in Neural Information Processing Systems (NeurIPS), 2023Relation-aware Language-Graph Transformer for Question Answering
Jinyoung Park*, Hyeong Kyu Choi*, Juyeon Ko*, Hyeonjin Park, Ji-Hoon Kim, Jisu Jeong, Kyungmin Kim, Hyunwoo J. Kim
AAAI Conference on Artificial Intelligence (AAAI), 2023
Hyeong Kyu Choi*, Joonmyung Choi*, Hyunwoo J. Kim
Advances in Neural Information Processing Systems (NeurIPS), 2022
News!
[05.01.2024] Our paper on Persona In-Context Learning (PICLe) has been accepted for presentation at ICML 2024!
[04.14.2024] Will be working as an Applied Scientist intern at Amazon during the summer!
[09.21.2023] Our paper on Neural Tree Search (NuTrea) has been accepted for presentation at NeurIPS 2023!
[07.05.2023] Our paper on Recurrent DETR has been accepted at IEEE Access!
[04.02.2023] Will be joining professor Sharon Li's group at University of Wisconsin-Madison this fall in pursuit of a MS/PhD degree in Computer Science
[02.28.2023] Our paper on Meta Loss Transformer (MELTR) has been accepted for presentation at CVPR 2023!
[02.24.2023] Will be giving a short talk/tutorial at KCVS 2023 Workshop on TokenMixup. [tutorial code]
[11.19.2022] Our paper on Question Answering Transformer (QAT) for knowledge graphs has been accepted for presentation at AAAI 2023!
[09.15.2022] Our paper on TokenMixup has been accepted for presentation at NeurIPS 2022!
[03.02.2022] Our paper on Cross-path Consistency has been accepted for poster presentation at CVPR 2022!