Search Results for author: Jang-Won Lee

Found 6 papers, 1 papers with code

High-Density Coding Scheme for SWIPT Systems

no code implementations18 Mar 2022 Dongheon Lee, Gyuyeol Kong, Jang-Won Lee, Sooyong Choi

In this study, a novel coding scheme called highdensity coding based on high-density codebooks using a genetic local search algorithm is proposed.

Adaptive Transmission Scheduling in Wireless Networks for Asynchronous Federated Learning

no code implementations2 Mar 2021 Hyun-Suk Lee, Jang-Won Lee

To address this, we propose a metric, called an effectivity score, which represents the amount of learning from asynchronous FL.

Federated Learning

SDF-Bayes: Cautious Optimism in Safe Dose-Finding Clinical Trials with Drug Combinations and Heterogeneous Patient Groups

no code implementations26 Jan 2021 Hyun-Suk Lee, Cong Shen, William Zame, Jang-Won Lee, Mihaela van der Schaar

Phase I clinical trials are designed to test the safety (non-toxicity) of drugs and find the maximum tolerated dose (MTD).

Robust Recursive Partitioning for Heterogeneous Treatment Effects with Uncertainty Quantification

1 code implementation NeurIPS 2020 Hyun-Suk Lee, Yao Zhang, William Zame, Cong Shen, Jang-Won Lee, Mihaela van der Schaar

Most of the current methods of subgroup analysis begin with a particular algorithm for estimating individualized treatment effects (ITE) and identify subgroups by maximizing the difference across subgroups of the average treatment effect in each subgroup.

Recommendation Systems

Identifying First-person Camera Wearers in Third-person Videos

no code implementations CVPR 2017 Chenyou Fan, Jang-Won Lee, Mingze Xu, Krishna Kumar Singh, Yong Jae Lee, David J. Crandall, Michael S. Ryoo

We consider scenarios in which we wish to perform joint scene understanding, object tracking, activity recognition, and other tasks in environments in which multiple people are wearing body-worn cameras while a third-person static camera also captures the scene.

Activity Recognition Object Tracking +1

Learning Robot Activities from First-Person Human Videos Using Convolutional Future Regression

no code implementations3 Mar 2017 Jang-Won Lee, Michael S. Ryoo

We design a new approach that allows robot learning of new activities from unlabeled human example videos.

Frame Object Detection

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