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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 -
Exploring On-Device Learning Using Few Shots for Audio Classification
Jagmohan Chauhan, Young D. Kwon, and Cecilia Mascolo
EUSIPCO 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 -
Causal Analysis on the Anchor Store Effect in a Location-based Social Network
Anish Krishna Vallapuram, Young D. Kwon, Lik-Hang Lee, Fengli Xu, Pan Hui
ASONAM 2022 | PDF | BibTex | Link -
Enabling On-Device Smartphone GPU based Training: Lessons Learned
Anish Das, Young D. Kwon, Jagmohan Chauhan, and Cecilia Mascolo
PerFail (PerCom 2022 Workshop) | 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 | LinkBest Paper Award -
Interpretable Business Survival Prediction
Anish Krishna Vallapuram, Nikhil Nanda, Young D. Kwon, and Pan Hui
ASONAM 2021 | PDF | BibTex | Link -
IAN: Interpretable Attention Network for Churn Prediction in LBSNs
Liang-Yu Chen, Yutong Chen, Young D. Kwon, Youwen Kang, and Pan Hui
ASONAM 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 Knowing when we do not know: Bayesian continual learning for sensing-based analysis tasks
Sandra Servia Rodriguez, Cecilia Mascolo, and Young D. Kwon
arXiv | PDF | BibTex | LinkContAuth: Continual Learning Framework for Behavioral-based User Authentication
Jagmohan Chauhan, Young D. Kwon, Pan Hui, and Cecilia Mascolo
IMWUT/UbiComp 2021 | PDF | BibTex | LinkAquilis: Using Contextual Integrity for Privacy Protection on Mobile Devices
Abhishek Kumar, Tristan Braud, Young D. Kwon, and Pan Hui
IMWUT/UbiComp 2021 | PDF | BibTex | LinkEnemy at the Gate: Evolution of Twitter User's Polarization During National Crisis
Ehsan Ul Haq, Tristan Braud, Young D. Kwon, and Pan Hui
ASONAM 2020 | PDF | BibTexA Survey on Computational Politics
Ehsan Ul Haq, Tristan Braud, Young D. Kwon, and Pan Hui.
IEEE Access | PDF | BibTex | LinkMyoKey: Surface Electromyography and Inertial Motion Sensing-based Text Entry in AR
Young D. Kwon, Kirill A. Shatilov, Lik-Hang Lee, Serkan Kumyol, Kit Yung Lam, Yui-Pan Yau, and Pan Hui
PerCom 2020 WIP | PDF | Slides | BibTex | LinkGeoLifecycle: User Engagement of Geographical Exploration and Churn Prediction in LBSNs
Young D. Kwon, Dimitris Chatzopoulos, Ehsan Ul Haq, Raymond Chi-Wing Wong, and Pan Hui.
IMWUT/UbiComp 2019 | PDF | Slides | BibTex | LinkEffects of Ego Networks and Communities on Self-Disclosure in an Online Social Network
Young D. Kwon, Reza Hadi Mogavi, Ehsan Ul Haq, Youngjin Kwon, Xiaojuan Ma, and Pan Hui
ASONAM 2019 | PDF | Slides | BibTex | LinkOral Presentation, Full Paper Acceptance Rate: 14% UbiComp/ISWC 2019: A Post-Conference Summary Report
Young D. Kwon, Mohammed Khwaja, Neille-Ann H. Tan, Marla Narazani, Mikolaj P. Wozniak, Arshad Nasser, Rahul Majethia, Lucy Van Kleunen, Victoria Neumann, and Rajkarn Singh
IEEE Pervasive Computing, 2019 (Impact Factor: 3.813) | PDF | BibTex | LinkDocument Summarization Considering Entailment Relation between Sentences
Youngdae Kwon, Noo-ri Kim, and Jee-Hyong Lee
Journal of KIISE: Software and Application 2017 | Link
Document Summarization Considering Entailment Relation between Sentences
Youngdae Kwon, Noo-ri Kim, and Jee-Hyong Lee
Proceedings of the KIISE conference 2016 | Link
Honorable Mention, and invited to Journal of KIISE Method to Discover Novel Attribute Relationships using Social-Attribute Network in Google+
Youngdae Kwon, Chung Kwan Tse, Chong Bor Hung, and Cheuk Man Chiu
Proceedings of the KIISE conference 2015 | Link
Honorable Mention for undergraduate students' papers
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Efficient Meta Continual Learning on the Edge
Young D. Kwon
SEC '21 Ph.D. Forum, Dec 2021 | PDF | BibTex -
Efficient On-device Systems that can Sense, Learn, and Optimize Continually in the Wild
Young D. Kwon
University of Cambridge Ph.D. First Year Report, June 2021 | PDF | BibTex Characterization of Newcomers and Prediction of Potential Long-term Contributors in LBSNs
Young D. Kwon, Dimitris Chatzopoulos, Ehsan Ul Haq, Huber Flores, Raymond Chi-Wing Wong, and Pan Hui.
in progress
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
• Participated in various projects related to optimising DNN processing on extremely resource-constrained devices
Incremental Learning on Resource-constrained Devices
Research Assistant (Advisor:
Dr. Jagmohan Chauhan and Prof. Cecilia Mascolo
) · Jul. 2020 ~ Sep. 2020
• Participated in a project to apply incremental learning on resource-constrained devices
A Study of Applying Neural Networks on a Database
Research Assistant (Advisor:
Prof. Dimitris Papadias
) · Feb. 2020 ~ Jun. 2020
• Participated in a project to apply neural networks on a database
Computer Laboratory at the University of Cambridge
Visiting Research Student (Advisor:
Dr. Jagmohan Chauhan and Prof. Cecilia Mascolo
) · Jul. 2019 ~ Dec. 2019
• Investigated the Catastrophic Forgetting problem on mobile systems
User Engagement Analysis and Churn Prediction with LBSN Datasets
Postgraduate Research Stduent (Advisor:
Prof. Raymond Wong
and Prof. Pan Hui) · Aug. 2018 ~ Present
• Conducted a quantitative analysis to understand user engagement patterns exhibited both offline and online in LBSNs
• Examined the behavioral differences between churners and stayers among highly active users from various aspects; significantly improved the performance of churn prediction task over all baselines using our proposed features
• Paper accepted in the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/UbiComp), 2019 as the first author
• Investigated a project of characterizing users and predicting potential long-term contributors in LBSNs
HKUST-DT System and Media Laboratory at HKUST
Postgraduate Research Stduent (Advisor: Prof. Pan Hui) · Aug. 2017 ~ Present
• Carried out my own project on users' self-disclosing behaviors in online social networks. The resulting paper was accepted in ASONAM 2019 as the first author
• Participated in a project of Ph.D. student Ehsan Ul Haq on inferring political leaning of users in a Q&A forum
• Involved in a project of Ph.D. student Reza Hadi Mogavi on predicting churning users in a Q&A forum
Information & Intelligence System Lab. at SKKU
Research Intern (Advisor: Prof. Jee-Hyong Lee) · Sep. 2015 - June. 2016
• Proposed a new algorithm, TextRank-NLI, which combines a Deep Learning based Natural Language Inference model and a Graph-based ranking algorithm used in a single document extraction-based summarization task
Social Network Analysis Project with Social-Attribute Network Dataset of Google+
Undergraduate Research Student (Advisor: Prof. Pan Hui) · Feb. 2015 ~ June. 2015
• Researched to discover novel relationships using association rule mining with attributes of users in Google+ social-attribute networks