정요한
- 전공
- 확률론적 기계학습/딥러닝
- 직급
- 조교수
- 연구분야
- 연구실
- 적응형지능 연구실(공대 7호관 312호)/교수 연구실(공대 7호관 319호)
- 전화번호
- 063-270-3438
- 담당강의
- 자료구조, C++프로그래밍
경력
2024.07 – 2026.02, Postdoctoral Researcher, RIKEN AIP (ABI Team)
2023.03 – 2024.06, Postdoctoral Researcher, KAIST AI (SIML Lab)
2023.03 – 2024.06, Postdoctoral Researcher, KAIST AI (SIML Lab)
주요 연구실적
논문
[AI Conference]
1. Yohan Jung, Hyungi Lee, Wenlong Chen, Thomas Mllenhoff, Yingzhen Li, Juho Lee, Mohammad Emtiyaz Khan, Compact Memory for Continual Logistic Regression, NeurIPS 25
2. Sungjun Lim, Jeyoon Yeom, Sooyon Kim, Hoyoon Byun, Jinho Kang, Yohan Jung†, Jiyoung Jung†, Kyungwoo Song†, Flat Posterior Does Matter For Bayesian Model Averaging, UAI 25
3. Yohan Jung, Jinkyoo Park, Bayesian Convolutional Deep Sets with Task-Dependent Stationary Prior, AISTATS 23
4. Yohan Jung, Kyungwoo Song, Jinkyoo Park, Efficient Approximate Inference for Stationary Kernel on Frequency domain, ICML 22
[SCIE Journal]
1. Yohan Jung, Jinkyoo Park, Scalable Inference for Hybrid Bayesian Hidden Markov Model Using Gaussian Process Emission, JCGS 22
1. Yohan Jung, Hyungi Lee, Wenlong Chen, Thomas Mllenhoff, Yingzhen Li, Juho Lee, Mohammad Emtiyaz Khan, Compact Memory for Continual Logistic Regression, NeurIPS 25
2. Sungjun Lim, Jeyoon Yeom, Sooyon Kim, Hoyoon Byun, Jinho Kang, Yohan Jung†, Jiyoung Jung†, Kyungwoo Song†, Flat Posterior Does Matter For Bayesian Model Averaging, UAI 25
3. Yohan Jung, Jinkyoo Park, Bayesian Convolutional Deep Sets with Task-Dependent Stationary Prior, AISTATS 23
4. Yohan Jung, Kyungwoo Song, Jinkyoo Park, Efficient Approximate Inference for Stationary Kernel on Frequency domain, ICML 22
[SCIE Journal]
1. Yohan Jung, Jinkyoo Park, Scalable Inference for Hybrid Bayesian Hidden Markov Model Using Gaussian Process Emission, JCGS 22