JeongGil Ko

JeongGil Ko

Yonsei University

H-index: 27

Asia-South Korea

About JeongGil Ko

JeongGil Ko, With an exceptional h-index of 27 and a recent h-index of 19 (since 2020), a distinguished researcher at Yonsei University, specializes in the field of Mobile Computing, Internet of Things, Intelligent Cyber Physical Systems, Wireless Healthcare, Low-Power Embedded Systems.

His recent articles reflect a diverse array of research interests and contributions to the field:

FLex&Chill: Improving Local Federated Learning Training with Logit Chilling

Tracking people across ultra populated indoor spaces by matching unreliable Wi-Fi signals with disconnected video feeds

Deep reinforcement learning-based propofol infusion control for anesthesia: A feasibility study with a 3000-subject dataset

Attfl: A personalized federated learning framework for time-series mobile and embedded sensor data processing

SafeFac: Video-based smart safety monitoring for preventing industrial work accidents

Fedhm: Practical federated learning for heterogeneous model deployments

Server load and network-aware adaptive deep learning inference offloading for edge platforms

Self-Attention LSTM-FCN model for arrhythmia classification and uncertainty assessment

JeongGil Ko Information

University

Position

Assistant Professor

Citations(all)

5161

Citations(since 2020)

2094

Cited By

4023

hIndex(all)

27

hIndex(since 2020)

19

i10Index(all)

57

i10Index(since 2020)

43

Email

University Profile Page

Yonsei University

Google Scholar

View Google Scholar Profile

JeongGil Ko Skills & Research Interests

Mobile Computing

Internet of Things

Intelligent Cyber Physical Systems

Wireless Healthcare

Low-Power Embedded Systems

Top articles of JeongGil Ko

Title

Journal

Author(s)

Publication Date

FLex&Chill: Improving Local Federated Learning Training with Logit Chilling

arXiv preprint arXiv:2401.09986

Kichang Lee

Songkuk Kim

JeongGil Ko

2024/1/18

Tracking people across ultra populated indoor spaces by matching unreliable Wi-Fi signals with disconnected video feeds

Pervasive and Mobile Computing

Hai Truong

Dheryta Jaisinghani

Shubham Jain

Arunesh Sinha

JeongGil Ko

...

2024/1/1

Deep reinforcement learning-based propofol infusion control for anesthesia: A feasibility study with a 3000-subject dataset

Computers in Biology and Medicine

Won Joon Yun

MyungJae Shin

Soyi Jung

JeongGil Ko

Hyung-Chul Lee

...

2023/4

Attfl: A personalized federated learning framework for time-series mobile and embedded sensor data processing

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

JaeYeon Park

Kichang Lee

Sungmin Lee

Mi Zhang

JeongGil Ko

2023/9/27

SafeFac: Video-based smart safety monitoring for preventing industrial work accidents

Expert Systems with Applications

Jungmo Ahn

JaeYeon Park

Sung Sik Lee

Kyu-Hyuk Lee

Heesung Do

...

2023/4/1

Fedhm: Practical federated learning for heterogeneous model deployments

ICT Express

JaeYeon Park

JeongGil Ko

2023/8/3

Server load and network-aware adaptive deep learning inference offloading for edge platforms

Internet of Things

Jungmo Ahn

Youngki Lee

Jeongseob Ahn

JeongGil Ko

2023/4/1

Self-Attention LSTM-FCN model for arrhythmia classification and uncertainty assessment

Artificial Intelligence in Medicine

JaeYeon Park

Kichang Lee

Noseong Park

Seng Chan You

JeongGil Ko

2023/8/1

Indolizine-based fluorescent compounds array for noninvasive monitoring of glucose in bio-fluids using on-device machine learning

Dyes and Pigments

Hyungi Kim

Sungmin Lee

Kyung Won Lee

Eun Su Kim

Hyung-Mo Kim

...

2023/7/1

Exploiting Indices for Man-in-the-Middle Attacks on Collaborative Unpooling Autoencoders

Kichang Lee

Jonghyuk Yun

Jun Han

Jeonggil Ko

2023/6/18

FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things

arXiv preprint arXiv:2310.00109

Samiul Alam

Tuo Zhang

Tiantian Feng

Hui Shen

Zhichao Cao

...

2023/10

Fast Monte-Carlo approximation of the attention mechanism

Proceedings of the AAAI conference on artificial intelligence

Hyunjun Kim

JeongGil Ko

2022/6/28

Memory-efficient dnn training on mobile devices

In Gim

JeongGil Ko

2022/6/27

On-device Training: A First Overview on Existing Systems

arXiv preprint arXiv:2212.00824

Shuai Zhu

Thiemo Voigt

JeongGil Ko

Fatemeh Rahimian

2022/12/1

Emulating your extended world: An emulation environment for xr app development

Jaewon Choi

Seungchan Jeong

JeongGil Ko

2022/10/19

Disentangling the clinical data chaos: User-centered interface system design for trauma centers

Plos one

JaeYeon Park

Soyoung Rhim

Kyungsik Han

JeongGil Ko

2021/5/12

Combining hepatic surface nodularity and serum tests better predicts hepatic fibrosis stages in chronic liver disease

Abdominal Radiology

Hyo Jung Cho

Jaewon Choi

Bohyun Kim

JeongGil Ko

Joon-Il Choi

...

2021/9

VOCkit: A low-cost IoT sensing platform for volatile organic compound classification

Ad Hoc Networks

Jungmo Ahn

Hyungi Kim

Eunha Kim

JeongGil Ko

2021/3/15

Fluorescent sensor array for high-precision pH classification with machine learning-supported mobile devices

Dyes And Pigments

Hyungi Kim

Sungmin Lee

Jun Sik Min

Eunsu Kim

Junwon Choi

...

2021/9/1

Kaleidoscopic fluorescent arrays for machine-learning-based point-of-care chemical sensing

Sensors And Actuators B: Chemical

Hyungi Kim

Sang-Kee Choi

Jungmo Ahn

Hojeong Yu

Kyoungha Min

...

2021/2/15

See List of Professors in JeongGil Ko University(Yonsei University)

Co-Authors

H-index: 132
David CULLER

David CULLER

University of California, Berkeley

H-index: 124
John Stankovic

John Stankovic

University of Virginia

H-index: 67
Philip Levis

Philip Levis

Stanford University

H-index: 60
Sang H Son

Sang H Son

University of Virginia

H-index: 39
Thomas Heide Clausen

Thomas Heide Clausen

École Polytechnique

H-index: 38
Omprakash Gnawali

Omprakash Gnawali

University of Houston

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