Thesis

  • Efficient Continual Learning and On-Device Training for Mobile and IoT Devices
    Young D. Kwon
    University of Cambridge Ph.D. Thesis, September 2024 | PDF | BibTex | Link

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


Preprints

  • Speculative Decoding with a Speculative Vocabulary
    Miles Williams, Young D. Kwon, Rui Li, Alexandros Kouris, and Stylianos I. Venieris
    arXiv 2026 | PDF | Link

  • Tempora: Characterising the Time-Contingent Utility of Online Test-Time Adaptation
    Sudarshan Sreeram, Young D. Kwon, and Cecilia Mascolo
    arXiv 2026 | PDF | Link

  • Efficient High-Resolution Image Editing with Hallucination-Aware Loss and Adaptive Tiling
    Young D. Kwon, Abhinav Mehrotra, Malcolm Chadwick, Albert Gil Ramos, and Sourav Bhattacharya
    arXiv 2025 | PDF | Link
    Samsung Best Paper Silver Award 2025

  • On-demand Test-time Adaptation for Edge Devices
    Xiao MA, Young D. Kwon, and Dong MA
    arXiv 2025 | PDF | Link

  • 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


Publications

  • Architecture-Agnostic Test-Time Adaptation via Backprop-Free Embedding Alignment
    Xiao Ma, Young D. Kwon, Pan Zhou, and Dong Ma
    ICLR 2026 | PDF | BibTex | Link | Code

  • HierarchicalPrune: Position-Aware Compression for Large-Scale Diffusion Models
    Young D. Kwon*, Rui Li*, Sijia Li, Da Li, Sourav Bhattacharya, and Stylianos Venieris
    AAAI 2026 | PDF | Poster | Slides | BibTex | Link | * Co-first authors
    Full Paper Acceptance Rate: 17.5%

  • 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 | Poster | Slides | BibTex | Link
    Samsung Best Paper Silver Award 2024

  • 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

  • A Framework for On-Device Uncertainty-Aware Event Detection on Microcontrollers
    Hong Jia, Young D. Kwon, Dong Ma, Nhat Pham, Lorena Qendro, Tam Vu, and Cecilia Mascolo
    PMCJ 2024

  • 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
    Oral Presentation, Full Paper Acceptance Rate: 14.5%

  • LifeLearner: Hardware-Aware Meta Continual Learning System for Embedded Computing Platforms
    Young D. Kwon, Jagmohan Chauhan, Hong Jia, Stylianos I. Venieris, and Cecilia Mascolo
    SenSys 2023 | PDF | BibTex
    Oral Presentation, Full Paper Acceptance Rate: 18.9%

  • ChatGPT in education: A blessing or a curse? A qualitative study exploring early adopters’ utilization and perceptions
    Reza Hadi Mogavi, Chao Deng, Justin Juho Kim, Pengyuan Zhou, Young D. Kwon , Ahmed Hosny Saleh Metwally, Ahmed Tlili, Simone Bassanelli, Antonio Bucchiarone, Sujit Gujar, Lennart E. Nacke, and Pan Hui
    Computers in Human Behavior: Artificial Humans 2023 | PDF | BibTex | Link

  • 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
    Oral Presentation, Full Paper Acceptance Rate: 17.8%

  • 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 | Link
    Best Paper Award (Photo)

  • 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 Continual Learning and On-Device Training for Mobile and IoT Devices
    Young D. Kwon
    University of Cambridge Ph.D. Third Year Report, Sep 2023 | PDF | BibTex

  • On-Device Training at the Extreme Edge
    Young D. Kwon
    SenSys '23 Ph.D. Forum, Nov 2023 | PDF | BibTex

  • Efficient Continual and On-device Learning in Mobile Computing
    Young D. Kwon
    University of Cambridge Ph.D. Second Year Report, Jun 2022 | PDF | BibTex

  • 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


Research Experiences

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 Student (Advisor: Prof. Raymond Wong and Prof. Pan Hui) · Aug. 2018 ~ May. 2019
• 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 Student (Advisor: Prof. Pan Hui) · Aug. 2017 ~ Jan. 2020
• 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