Thesis
  • Geographical engagement and churn prediction in location-based social networks
    Young D. Kwon
    HKUST M.Phil. Thesis, January 2020 | PDF | BibTex | Link



Publications
  • YONO: Modeling Multiple Heterogeneous Neural Networks on Microcontrollers
    Young D. Kwon, Jagmohan Chauhan, and Cecilia Mascolo
    IPSN 2022 | PDF | BibTex

  • 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

  • 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

  • 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 | Link
    Best 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 | 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

  • Aquilis: Using Contextual Integrity for Privacy Protection on Mobile Devices
    Abhishek Kumar, Tristan Braud, Young D. Kwon, and Pan Hui
    IMWUT/UbiComp 2021 | PDF | BibTex | Link

  • Enemy 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 | BibTex

  • A Survey on Computational Politics
    Ehsan Ul Haq, Tristan Braud, Young D. Kwon, and Pan Hui.
    IEEE Access | PDF | BibTex | Link

  • MyoKey: 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 | Link

  • GeoLifecycle: 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 | Link

  • Effects 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 | Link
    Oral 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 | Link

  • Document 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



PhD Progress Reports and Manuscripts
  • 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



Research Experiences

Incremental Learning on Resource-constrained Devices
Research Assistant (Advisor: Dr. Jagmohan Chauhan and Prof. Cecilia Mascolo ) · Jul. 2020 ~ Sep. 2020
• Participate in an ongoing 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
• Participate in an ongoing 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
• Working on 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
• Working on additional 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
- Achieved Outstanding Undergraduate Final Year Project Award in the college of ICE
- Received Honorable Mention, and invited to the journal extension

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
- Achieved Honorable Mention for undergraduate students' papers