Yonghan Jung

18 papers A* 12Journal 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Benchmarking Visual Feature Representations for LiDAR-Inertial-Visual Odometry Under Challenging Conditions.
IEEE Access
Eunseon Choi, Junwoo Hong, Daehan Lee, Sanghyun Park, Hyunyoung Jo, Sunyoung Kim, Changho Kang, Seongsam Kim, Yonghan Jung, Jungwook Park, Seul Koo, Soohee Han
2026 J jnl
Benchmarking Visual Feature Representations for LiDAR-Inertial-Visual Odometry Under Challenging Conditions.
CoRR
Eunseon Choi, Junwoo Hong, Daehan Lee, Sanghyun Park, Hyunyoung Jo, Sunyoung Kim, Changho Kang, Seongsam Kim, Yonghan Jung, Jungwook Park, Seul Koo, Soohee Han
2026 J jnl
Data-Driven Information-Theoretic Causal Bounds under Unmeasured Confounding.
CoRR
Yonghan Jung, Bogyeong Kang
2025 J jnl
Debiased Front-Door Learners for Heterogeneous Effects.
CoRR
Yonghan Jung
2025 J jnl
Path-specific effects for pulse-oximetry guided decisions in critical care.
CoRR
Kevin Zhang, Yonghan Jung, Divyat Mahajan, Karthikeyan Shanmugam, Shalmali Joshi
2025 A* conf
Sufficient Invariant Learning for Distribution Shift.
CVPR
Taero Kim, Subeen Park, Sungjun Lim, Yonghan Jung, Krikamol Muandet, Kyungwoo Song
2024 A* conf
Complete Graphical Criterion for Sequential Covariate Adjustment in Causal Inference.
NeurIPS
Yonghan Jung, Min Woo Park, Sanghack Lee
2024 A* conf
Efficient Policy Evaluation Across Multiple Different Experimental Datasets.
NeurIPS
Yonghan Jung, Alexis Bellot
2024 A* conf
Unified Covariate Adjustment for Causal Inference.
NeurIPS
Yonghan Jung, Jin Tian, Elias Bareinboim
2023 A* conf
Estimating Causal Effects Identifiable from a Combination of Observations and Experiments.
NeurIPS
Yonghan Jung, Ivan Diaz, Jin Tian, Elias Bareinboim
2023 A* conf
Estimating Joint Treatment Effects by Combining Multiple Experiments.
ICML
Yonghan Jung, Jin Tian, Elias Bareinboim
2022 A* conf
On Measuring Causal Contributions via do-interventions.
ICML
Yonghan Jung, Shiva Prasad Kasiviswanathan, Jin Tian, Dominik Janzing, Patrick Blöbaum, Elias Bareinboim
2021 A* conf
Double Machine Learning Density Estimation for Local Treatment Effects with Instruments.
NeurIPS
Yonghan Jung, Jin Tian, Elias Bareinboim
2021 A* conf
Estimating Identifiable Causal Effects on Markov Equivalence Class through Double Machine Learning.
ICML
Yonghan Jung, Jin Tian, Elias Bareinboim
2021 A* conf
Estimating Identifiable Causal Effects through Double Machine Learning.
AAAI
Yonghan Jung, Jin Tian, Elias Bareinboim
2020 A* conf
Estimating Causal Effects Using Weighting-Based Estimators.
AAAI
Yonghan Jung, Jin Tian, Elias Bareinboim
2020 A* conf
Learning Causal Effects via Weighted Empirical Risk Minimization.
NeurIPS
Yonghan Jung, Jin Tian, Elias Bareinboim
2017 J jnl
Detection of PVC by using a wavelet-based statistical ECG monitoring procedure.
Biomed. Signal Process. Control.
Yonghan Jung, Heeyoung Kim