A stochastic environment modelling method for mobile robot by using 2-D laser scanner. - Young D. Kwon; Jin S. Lee (ICRA, 1997)

A Stochastic Map Building Method for Mobile Robot using 2-D Laser Range Finder. - Young D. Kwon; Jin S. Lee (Auton. Robots, 1999)

On-Line Evolutionary Optimization of Fuzzy Control System based on Decentralized Population. - Young D. Kwon; Jin S. Lee (Intell. Autom. Soft Comput., 2000)

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; Pan Hui 001 (ASONAM, 2019)

GeoLifecycle: User Engagement of Geographical Exploration and Churn Prediction in LBSNs. - Young D. Kwon; Dimitris Chatzopoulos; Ehsan ul Haq; Raymond Chi-Wing Wong; Pan Hui 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019)

UbiComp/ISWC 2019: A Post-Conference Summary Report. - Young D. Kwon; Rajkarn Singh; Sarah Clinch; Mohammed Khwaja; Neille-Ann H. Tan; Marla Narazani; Mikolaj P. Wozniak; Arshad Nasser; Rahul Majethia; Lucy Van Kleunen; Victoria Neumann (IEEE Pervasive Comput., 2019)

Enemy at the Gate: Evolution of Twitter User's Polarization During National Crisis. - Ehsan ul Haq; Tristan Braud; Young D. Kwon; Pan Hui 001 (ASONAM, 2020)

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; Pan Hui 001 (PerCom Workshops, 2020)

A Survey on Computational Politics. - Ehsan ul Haq; Tristan Braud; Young D. Kwon; Pan Hui 001 (IEEE Access, 2020)

ContAuth: Continual Learning Framework for Behavioral-based User Authentication. - Jagmohan Chauhan; Young D. Kwon; Pan Hui 001; Cecilia Mascolo (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020)

Aquilis: Using Contextual Integrity for Privacy Protection on Mobile Devices. - Abhishek Kumar 011; Tristan Braud; Young D. Kwon; Pan Hui 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020)

IAN: interpretable attention network for churn prediction in LBSNs. - Liang-yu Chen; Yutong Chen; Young D. Kwon; Youwen Kang; Pan Hui 001 (ASONAM, 2021)

Interpretable business survival prediction. - Anish K. Vallapuram; Nikhil Nanda; Young D. Kwon; Pan Hui 001 (ASONAM, 2021)

Exploring System Performance of Continual Learning for Mobile and Embedded Sensing Applications. - Young D. Kwon; Jagmohan Chauhan; Abhishek Kumar 011; Pan Hui 001; Cecilia Mascolo (SEC, 2021)

FastICARL: Fast Incremental Classifier and Representation Learning with Efficient Budget Allocation in Audio Sensing Applications. - Young D. Kwon; Jagmohan Chauhan; Cecilia Mascolo (Interspeech, 2021)

Knowing when we do not know: Bayesian continual learning for sensing-based analysis tasks. - Sandra Servia Rodríguez; Cecilia Mascolo; Young D. Kwon (CoRR, 2021)

Causal Analysis on the Anchor Store Effect in a Location-based Social Network. - Anish K. Vallapuram; Young D. Kwon; Lik-Hang Lee; Fengli Xu; Pan Hui 001 (ASONAM, 2022)

Exploring On-Device Learning Using Few Shots for Audio Classification. - Jagmohan Chauhan; Young D. Kwon; Cecilia Mascolo (EUSIPCO, 2022)

YONO: Modeling Multiple Heterogeneous Neural Networks on Microcontrollers. - Young D. Kwon; Jagmohan Chauhan; Cecilia Mascolo (IPSN, 2022)

Enabling On-Device Smartphone GPU based Training: Lessons Learned. - Anish Das; Young D. Kwon; Jagmohan Chauhan; Cecilia Mascolo (PerCom Workshops, 2022)

HideNseek: Federated Lottery Ticket via Server-side Pruning and Sign Supermask. - Anish K. Vallapuram; Pengyuan Zhou; Young D. Kwon; Lik Hang Lee; Hengwei Xu; Pan Hui 001 (CoRR, 2022)

LifeLearner: Hardware-Aware Meta Continual Learning System for Embedded Computing Platforms. - Young D. Kwon; Jagmohan Chauhan; Hong Jia; Stylianos I. Venieris; Cecilia Mascolo (SenSys, 2023)

Exploring User Perspectives on ChatGPT: Applications, Perceptions, and Implications for AI-Integrated Education. - Reza Hadi Mogavi; Chao Deng 002; Justin Juho Kim; Pengyuan Zhou; Young D. Kwon; Ahmed Hosny Saleh Metwally; Ahmed Tlili; Simone Bassanelli; Antonio Bucchiarone; Sujit Gujar; Lennart E. Nacke; Pan Hui 001 (CoRR, 2023)

TinyTrain: Deep Neural Network Training at the Extreme Edge. - Young D. Kwon; Rui Li 052; Stylianos I. Venieris; Jagmohan Chauhan; Nicholas D. Lane; Cecilia Mascolo (CoRR, 2023)

MyoKey: Inertial Motion Sensing and Gesture-Based QWERTY Keyboard for Extended Realities. - Kirill A. Shatilov; Young D. Kwon; Lik-Hang Lee; Dimitris Chatzopoulos; Pan Hui 001 (IEEE Trans. Mob. Comput., 2023)

TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge. - Young D. Kwon; Rui Li 052; Stylianos I. Venieris; Jagmohan Chauhan; Nicholas Donald Lane; Cecilia Mascolo (ICML, 2024)

UR2M: Uncertainty and Resource-Aware Event Detection on Microcontrollers. - Hong Jia; Young D. Kwon; Dong Ma 001; Nhat Pham; Lorena Qendro; Tam Vu 001; Cecilia Mascolo (PerCom, 2024)

LeanTTA: A Backpropagation-Free and Stateless Approach to Quantized Test-Time Adaptation on Edge Devices. - Cynthia Dong; Hong Jia; Young D. Kwon; Georgios Rizos; Cecilia Mascolo (CoRR, 2025)

MetaCLBench: Meta Continual Learning Benchmark on Resource-Constrained Edge Devices. - Sijia Li; Young D. Kwon; Lik-Hang Lee; Pan Hui 001 (CoRR, 2025)

On-demand Test-time Adaptation for Edge Devices. - Xiao Ma; Young D. Kwon; Dong Ma 001 (CoRR, 2025)

HierarchicalPrune: Position-Aware Compression for Large-Scale Diffusion Models. - Young D. Kwon; Rui Li 052; Sijia Li; Da Li 001; Sourav Bhattacharya; Stylianos I. Venieris (CoRR, 2025)