README.md

I have obtained my Ph.D. in Computer Science and Engineering at Seoul National University, advised by Hyun Oh Song. I previously graduated from Seoul National University in 2018 with a B.S. in electrical and computer engineering. My research interest is efficient combinatorial optimization with deep learning algorithms. I handled several combinatorial optimization problems including energy minimization problems and QCQP in several domains: Hashing, disentanglement, and network lightweighting. I’m confident in formulating optimization problems and solve with efficient algorithm design.

/News

I served as a technical research personnel in Seoul National University (2021-2024).

/Publications

	Optimal channel selection with discrete QCQP Yeonwoo Jeong, Deokjae Lee, Gaon An, Changyong Son, Hyun Oh Song International Conference on Artificial Intelligence and Statistics (AISTATS), 2022 paper/code/bibtex
	End-to-End Efficient Representation Learning via Cascading Combinatorial Optimization Yeonwoo Jeong, Yoonsung Kim, Hyun Oh Song IEEE Computer Vision and Pattern Recognition (CVPR), 2019 paper/supp/code/bibtex
	Learning Discrete and Continuous Factors of Data via Alternating Disentanglement Yeonwoo Jeong, Hyun Oh Song International Conference on Machine Learning (ICML), 2019 paper/supp/code/bibtex/talk video
	EMI: Exploration with Mutual Information Hyoungseok Kim, Jaekyeom Kim,Yeonwoo Jeong, Sergey Levine, Hyun Oh Song International Conference on Machine Learning (ICML), 2019 Long talk (159/3424=4.6%) paper/supp/code/bibtex/talk video
	Efficient end-to-end learning for quantizable representations Yeonwoo Jeong, Hyun Oh Song International Conference on Machine Learning (ICML), 2018 Long talk (213/2473=8.6%) paper/code/bibtex/talk video

/Honors and Awards

2021 Yulchon AI Star Fellowship

2020 Qualcomm innovation Fellowship (South Korea) winner

2019 NRF Global PH.D. Fellowship Program

2018 KFAS Computer Science Graduate Student Scholarship

/Coding skills

Rust
Java
C++
Python