I am a Research Scientist at Samsung AI Center-Cambridge working with Dr. Stylianos I. Venieris and Dr. Sourav Bhattacharya. Prior to that, I have obtained a PhD from the University of Cambridge under Prof. Cecilia Mascolo. My research bridges machine learning and systems through innovative on-device AI processing techniques, successfully commercialising breakthrough technologies for Samsung Galaxy devices that bring powerful AI capabilities to millions of users.
My work has earned the Best Paper Award at SEC '21 and Samsung Best Paper Silver Award 2024, with publications in AI (ICML, NeurIPS) and Systems (SenSys, IPSN, TMC, MobiCom, and IMWUT). I develop resource-efficient solutions that make advanced AI accessible on everyday devices with strict hardware constraints.
Research Focus:
Personalized On-Device AI Wallpaper
Galaxy S24 & S25, Z Flip6 & Fold6
| Samsung Galaxy Unpacked Event
| Shorts (KR)
| Shorts (EN)
| YouTube (KR)
| YouTube (EN)
Efficient On-Device Super Resolution
Galaxy S25
| YouTube
MetaCLBench: Meta Continual Learning Benchmark on Resource-Constrained Edge Devices
Young D. Kwon*, Sijia Li*, Lik-Hang Lee, and Pan Hui
arXiv 2025
| PDF
| Link
| * Co-first authors
LeanTTA: A Backpropagation-Free and Stateless Approach to Quantized Test-Time Adaptation on Edge Devices
Cynthia Dong, Hong Jia, Young D. Kwon, Georgios Rizos, and Cecilia Mascolo
arXiv 2025
| PDF
| Link
HideNseek: Federated Lottery Ticket via Server-side Pruning and Sign Supermask
Anish K. Vallapuram, Pengyuan Zhou, Young D. Kwon, Lik Hang Lee, Hengwei Xu, and Pan Hui
arXiv 2022
| PDF
| Link
TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge
Young D. Kwon, Rui Li, Stylianos I. Venieris, Jagmohan Chauhan, Nicholas D. Lane, and Cecilia Mascolo
ICML 2024
| PDF
| BibTex
| Link
TinyTTA: Efficient Test-time Adaptation via Early-exit Ensembles on Edge Devices
Hong Jia, Young D. Kwon, Alessio Orsino, Ting Dang, Domenico Talia, and Cecilia Mascolo
NeurIPS 2024
| PDF
| Poster
| Slides
| BibTex
| Link
| Code
UR2M: Uncertainty and Resource-Aware Event Detection on Microcontrollers
Hong Jia, Young D. Kwon, Dong Ma, Nhat Pham, Lorena Qendro, Tam Vu, and Cecilia Mascolo
PerCom 2024
| PDF
| BibTex
LifeLearner: Hardware-Aware Meta Continual Learning System for Embedded Computing Platforms
Young D. Kwon, Jagmohan Chauhan, Hong Jia, and Stylianos I. Venieris, and Cecilia Mascolo
SenSys 2023
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| BibTex
YONO: Modeling Multiple Heterogeneous Neural Networks on Microcontrollers
Young D. Kwon, Jagmohan Chauhan, and Cecilia Mascolo
IPSN 2022
| PDF
| BibTex
| Link
PROS: an Efficient Pattern-Driven Compressive Sensing Framework for Low-Power Biopotential-based Wearables with On-chip Intelligence
Nhat Pham, Hong Jia, Minh Tran, Tuan Dinh, Nam Bui, Young D. Kwon, Dong Ma, VP Nguyen, Cecilia Mascolo, Tam Vu
MobiCom 2022
| PDF
| BibTex
| Link
MyoKey: Inertial Motion Sensing and Gesture-based QWERTY Keyboard for Extended Realities
Kirill A. Shatilov, Young D. Kwon, Lik-Hang Lee, Dimitris Chatzopoulos, and Pan Hui
TMC 2022
| PDF
| BibTex
| Link
ContAuth: Continual Learning Framework for Behavioral-based User Authentication
Jagmohan Chauhan, Young D. Kwon, Pan Hui, and Cecilia Mascolo
IMWUT/UbiComp 2021
| PDF
| BibTex
| Link
FastICARL: Fast Incremental Classifier and Representation Learning with Efficient Budget Allocation in Audio Sensing Applications
Young D. Kwon, Jagmohan Chauhan, and Cecilia Mascolo
Interspeech 2021
| PDF
| BibTex
| Link
Exploring System Performance of Continual Learning for Mobile and Embedded Sensing Applications
Young D. Kwon, Jagmohan Chauhan, Abhishek Kumar, Pan Hui, and Cecilia Mascolo
SEC 2021
| PDF
| BibTex
| Link
Samsung AI Center-Cambridge
Research Scientist
· Sep. 2023 ~ Present
Advisor: Dr. Sourav Bhattacharya
Research Intern
· Apr. 2022 ~ Apr. 2023
Advisor: Dr. Stylianos I. Venieris, Dr. Rui Li, Prof. Nicholas D. Lane
Computer Laboratory, University of Cambridge
ML Developer
· Jul. 2020 ~ Sep. 2020
Advisor: Dr. Jagmohan Chauhan and Prof. Cecilia Mascolo
Dept. of CSE, HKUST
Research Assistant
· Mar. 2020 ~ Jun. 2020
Advisor: Prof. Dimitris Papadias
Memory Business, Samsung Electronics
Engineer
· Jul. 2016 ~ Aug. 2017
Engineering Intern
· Jul. 2015 ~ Aug. 2015
1st Fighter Wing, Republic of Korea Air Force
Staff Sergeant
· Feb. 2011 ~ Feb. 2013
Optimising DNN Processing on Extremely Resource-Limited Devices
Research Intern (Advisor: Dr. Stylianos I. Venieris, Dr. Rui Li, and Prof. Nicholas D. Lane
) · Apr. 2022 ~ Apr. 2023
Incremental Learning on Resource-constrained Devices
Research Assistant (Advisor: Dr. Jagmohan Chauhan and Prof. Cecilia Mascolo
) · Jul. 2020 ~ Sep. 2020
A Study of Applying Neural Networks on a Database
Research Assistant (Advisor:
Prof. Dimitris Papadias
) · Feb. 2020 ~ Jun. 2020
Computer Laboratory at the University of Cambridge
Visiting Research Student (Advisor:
Dr. Jagmohan Chauhan and Prof. Cecilia Mascolo
) · Jul. 2019 ~ Dec. 2019
User Engagement Analysis and Churn Prediction with LBSN Datasets
Postgraduate Research Stduent (Advisor:
Prof. Raymond Wong
and Prof. Pan Hui) · Aug. 2018 ~ Present
HKUST-DT System and Media Laboratory at HKUST
Postgraduate Research Stduent (Advisor: Prof. Pan Hui) · Aug. 2017 ~ Present
Information & Intelligence System Lab. at SKKU
Research Intern (Advisor: Prof. Jee-Hyong Lee) · Sep. 2015 - June. 2016
Social Network Analysis Project with Social-Attribute Network Dataset of Google+
Undergraduate Research Student (Advisor: Prof. Pan Hui) · Feb. 2015 ~ June. 2015
Mentorship
Teaching Assistant
Committee
Reviewer
Student Volunteer
Rowing - Won silver medal in HKUST Indoor Rowing Competition in Apr 2015
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Rowing - Won bronze medal in 2015 Hong Kong China Rowing Association Coastal Rowing Championships in Mar 2015
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Marathon - Completed half marathon (21.1km) 2 times in 2013 and 2014 (photo)
I love traveling to new places since I can meet entirely new people with different perspectives towards lives, worlds, etc.
You can check countries I have visited here in this web page