Kuk Jin Jang

38 papers A* 1Misc 2Journal 16Unranked 19
YearRankTypeTitle / Venue / Authors
2026 J jnl
Observer: creation of a novel multimodal dataset for outpatient care research.
J. Am. Medical Informatics Assoc.
Kevin B. Johnson, Basam Alasaly, Kuk Jin Jang, Eric Eaton, Sriharsha Mopidevi, Ross Koppel
2025 A* conf
Assessing Modality Bias in Video Question Answering Benchmarks with Multimodal Large Language Models.
AAAI
Jean Park, Kuk Jin Jang, Basam Alasaly, Sriharsha Mopidevi, Andrew Zolensky, Eric Eaton, Insup Lee, Kevin B. Johnson
2025 — conf
Distributionally Robust Statistical Verification with Imprecise Neural Networks.
HSCC
Souradeep Dutta, Michele Caprio, Vivian Lin, Matthew Cleaveland, Kuk Jin Jang, Ivan Ruchkin, Oleg Sokolsky, Insup Lee
2025 J jnl
Low-Cost and Fast Epiretinal Membrane Detection and Quantification Based on SD-OCT.
IEEE Access
Seungju Baek, Insup Lee, Kuk Jin Jang, Yongseop Han, Jin Hyun Kim
2025 J jnl
MedVidDeID: Protecting privacy in clinical encounter video recordings.
J. Biomed. Informatics
Sriharsha Mopidevi, Kuk Jin Jang, Basam Alasaly, Sydney Pugh, Jean Park, Ashley Batugo, Sy Hwang, Eric Eaton, Danielle Lee Mowery, Kevin B. Johnson
2025 J jnl
Pattern-Guided Diffusion Models.
CoRR
Vivian Lin, Kuk Jin Jang, Wenwen Si, Insup Lee
2025 — conf
Reliable and Interpretable Visual Field Progression Prediction with Diffusion Models and Conformal Risk Control.
MICCAI (15)
Wenwen Si, Vivian Lin, Bo Sun, Kuk Jin Jang, Rubo Xing, Almiqdad Saeed, Rina Nagatani, Oleg Sokolsky, Insup Lee, Lama Al-Aswad
2024 J jnl
Assessing Modality Bias in Video Question Answering Benchmarks with Multimodal Large Language Models.
CoRR
Jean Park, Kuk Jin Jang, Basam Alasaly, Sriharsha Mopidevi, Andrew Zolensky, Eric Eaton, Insup Lee, Kevin B. Johnson
2024 J jnl
Credal Bayesian Deep Learning.
Trans. Mach. Learn. Res.
Michele Caprio, Souradeep Dutta, Kuk Jin Jang, Vivian Lin, Radoslav Ivanov, Oleg Sokolsky, Insup Lee
2024 — conf
DC4L: Distribution shift recovery via data-driven control for deep learning models.
L4DC
Vivian Lin, Kuk Jin Jang, Souradeep Dutta, Michele Caprio, Oleg Sokolsky, Insup Lee
2024 — conf
Fundus Image-based Visual Acuity Assessment with PAC-Guarantees.
ML4H@NeurIPS
Sooyong Jang, Kuk Jin Jang, Hyonyoung Choi, Yong-Seop Han, Seongjin Lee, Jin-hyun Kim, Insup Lee
2024 J jnl
Fundus Image-based Visual Acuity Assessment with PAC-Guarantees.
CoRR
Sooyong Jang, Kuk Jin Jang, Hyonyoung Choi, Yong-Seop Han, Seongjin Lee, Jin-hyun Kim, Insup Lee
2023 J jnl
Distributionally Robust Statistical Verification with Imprecise Neural Networks.
CoRR
Souradeep Dutta, Michele Caprio, Vivian Lin, Matthew Cleaveland, Kuk Jin Jang, Ivan Ruchkin, Oleg Sokolsky, Insup Lee
2023 J jnl
Imprecise Bayesian Neural Networks.
CoRR
Michele Caprio, Souradeep Dutta, Kuk Jin Jang, Vivian Lin, Radoslav Ivanov, Oleg Sokolsky, Insup Lee
2023 — conf
Incremental Learning with Memory Regressors for Motion Prediction in Autonomous Racing.
ICCPS
Yahan Yang, Souradeep Dutta, Kuk Jin Jang, Oleg Sokolsky, Insup Lee
2023 — conf
Memory Classifiers for Robust ECG Classification against Physiological Noise.
EMBC
Kuk Jin Jang, Souradeep Dutta, Jean Park, James Weimer, Insup Lee
2023 J jnl
Take Me Home: Reversing Distribution Shifts using Reinforcement Learning.
CoRR
Vivian Lin, Kuk Jin Jang, Souradeep Dutta, Michele Caprio, Oleg Sokolsky, Insup Lee
2022 J jnl
Electroanatomic Mapping to determine Scar Regions in patients with Atrial Fibrillation.
CoRR
Jiyue He, Kuk Jin Jang, Katie Walsh, Jackson Liang, Sanjay Dixit, Rahul Mangharam
2021 J jnl
Learning-'N-Flying: A Learning-Based, Decentralized Mission-Aware UAS Collision Avoidance Scheme.
ACM Trans. Cyber Phys. Syst.
Alëna Rodionova, Yash Vardhan Pant, Connor Kurtz, Kuk Jin Jang, Houssam Abbas, Rahul Mangharam
2021 J jnl
Learning-'N-Flying: A Learning-based, Decentralized Mission Aware UAS Collision Avoidance Scheme.
CoRR
Alëna Rodionova, Yash Vardhan Pant, Connor Kurtz, Kuk Jin Jang, Houssam Abbas, Rahul Mangharam
2020 — conf
Learning-to-Fly: Learning-based Collision Avoidance for Scalable Urban Air Mobility.
ITSC
Alëna Rodionova, Yash Vardhan Pant, Kuk Jin Jang, Houssam Abbas, Rahul Mangharam
2020 J jnl
Learning-to-Fly: Learning-based Collision Avoidance for Scalable Urban Air Mobility.
CoRR
Alëna Rodionova, Yash Vardhan Pant, Kuk Jin Jang, Houssam Abbas, Rahul Mangharam
2019 — conf
Electroanatomic Mapping to determine Scar Regions in patients with Atrial Fibrillation.
EMBC
Jiyue He, Kuk Jin Jang, Katie Walsh, Jackson Liang, Sanjay Dixit, Rahul Mangharam
2019 — conf
Robustness evaluation of computer-aided clinical trials for medical devices.
ICCPS
Kuk Jin Jang, Yash Vardhan Pant, Bo Zhang, James Weimer, Rahul Mangharam
2018 — conf
Computer Aided Clinical Trials for Implantaule Cardiac Devices.
EMBC
Kuk Jin Jang, James Weimer, Houssam Abbas, Zhihao Jiang, Jackson Liang, Sanjay Dixit, Rahul Mangharam
2016 — conf
High-level modeling for computer-aided clinical trials of medical devices.
HLDVT
Houssam Abbas, Zhihao Jiang, Kuk Jin Jang, Marco Beccani, Jackson Liang, Rahul Mangharam
2016 — conf
In-silico pre-clinical trials for implantable cardioverter defibrillators.
EMBC
Zhihao Jiang, Houssam Abbas, Kuk Jin Jang, Marco Beccani, Jackson Liang, Sanjay Dixit, Rahul Mangharam
2016 — conf
Nonlinear Hybrid Automata Model of Excitable Cardiac Tissue.
ARCH@CPSWeek
Houssam Abbas, Kuk Jin Jang, Rahul Mangharam
2016 J jnl
The Challenges of High-Confidence Medical Device Software.
Computer
Zhihao Jiang, Houssam Abbas, Kuk Jin Jang, Rahul Mangharam
2016 Misc conf
Three challenges in cyber-physical systems.
COMSNETS
Rahul Mangharam, Houssam Abbas, Madhur Behl, Kuk Jin Jang, Miroslav Pajic, Zhihao Jiang
2016 — conf
Towards Model Checking of Implantable Cardioverter Defibrillators.
HSCC
Houssam Abbas, Kuk Jin Jang, Zhihao Jiang, Rahul Mangharam
2015 — conf
Cloud Mat: Context-Aware Personalization of Fitness Content.
SCC
Kuk Jin Jang, Jungmin Ryoo, Orkan Telhan, Rahul Mangharam
2015 J jnl
Model Checking Implantable Cardioverter Defibrillators.
CoRR
Houssam Abbas, Kuk Jin Jang, Zhihao Jiang, Rahul Mangharam
2013 — conf
A wearable healthcare system for cardiac signal monitoring using conductive textile electrodes.
EMBC
Chae Young Lim, Kuk Jin Jang, Hyun-Woo Kim, Young Hwan Kim
2013 — conf
Multiple reaction analysis of cancer with different markers using silicon nanowire FET.
EMBC
Kuk Jin Jang, Hyeyoun Kim, Kook-Nyung Lee, Min-Ho Lee
2012 Misc conf
Enabling system-level platform resilience through embedded data-driven inference capabilities in electronic devices.
ICASSP
Naveen Verma, Kyong-Ho Lee, Kuk Jin Jang, Ali H. Shoeb
2011 — conf
A data-driven modeling approach to stochastic computation for low-energy biomedical devices.
EMBC
Kyong-Ho Lee, Kuk Jin Jang, Ali H. Shoeb, Naveen Verma
2011 — conf
Scalable customization of atrial fibrillation detection in cardiac monitoring devices: Increasing detection accuracy through personalized monitoring in large patient populations.
EMBC
Kuk Jin Jang, Guha Balakrishnan, Zeeshan Syed, Naveen Verma