Theses / dissertations
Conference proceedings
Jia, H., Kwon, YD., Mat, D., Pham, N., Qendro, L., Vu, T. and Mascolo, C., 2024. UR2M: Uncertainty and Resource-Aware Event Detection on Microcontrollers 2024 IEEE International Conference on Pervasive Computing and Communications, PerCom 2024,
Doi: 10.1109/PerCom59722.2024.10494467
Kwon, YD., Li, R., Venieris, SI., Chauhan, J., Lane, ND. and Mascolo, C., 2024. TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge Proceedings of Machine Learning Research, v. 235
Kwon, YD., Chauhan, J., Jia, H., Venieris, SI. and Mascolo, C., 2023. LifeLearner: Hardware-Aware Meta Continual Learning System for Embedded Computing Platforms SenSys 2023 - Proceedings of the 21st ACM Conference on Embedded Networked Sensors Systems,
Doi: 10.1145/3625687.3625804
Chauhan, J., Kwon, YD. and Mascolo, C., 2022. Exploring On-Device Learning Using Few Shots for Audio Classification European Signal Processing Conference, v. 2022-August
Vallapuram, AK., Kwon, YD., Lee, LH., Xu, F. and Hui, P., 2022. Causal Analysis on the Anchor Store Effect in a Location-based Social Network Proceedings of the 2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2022,
Doi: 10.1109/ASONAM55673.2022.10068687
Das, A., Kwon, YD., Chauhan, J. and Mascolo, C., 2022. Enabling On-Device Smartphone GPU based Training: Lessons Learned 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2022,
Doi: 10.1109/PerComWorkshops53856.2022.9767442
Kwon, YD., Chauhan, J. and Mascolo, C., 2022. YONO: Modeling Multiple Heterogeneous Neural Networks on Microcontrollers. CoRR, v. abs/2203.03794
Pham, N., Jia, H., Tran, M., Dinh, T., Bui, N., Kwon, Y., Ma, D., Nguyen, P., Mascolo, C. and Vu, T., 2022. PROS: An Efficient Pattern-Driven Compressive Sensing Framework for Low-Power Biopotential-basedWearables with On-chip Intelligence Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM,
Doi: 10.1145/3495243.3560533
Kwon, YD., Chauhan, J. and Mascolo, C., 2022. YONO: Modeling Multiple Heterogeneous Neural Networks on Microcontrollers Proceedings - 21st ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2022,
Doi: 10.1109/IPSN54338.2022.00030
Kwon, YD., Chauhan, J. and Mascolo, C., 2021. FastICARL: Fast incremental classifier and representation learning with efficient budget allocation in audio sensing applications Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, v. 6
Doi: 10.21437/Interspeech.2021-1091
Chen, L-Y., Chen, Y., Kwon, YD., Kang, Y. and Hui, P., 2021. IAN: interpretable attention network for churn prediction in LBSNs Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining,
Doi: 10.1145/3487351.3488328
Kwon, YD., Chauhan, J., Kumar, A., Hui, P. and Mascolo, C., 2021. Exploring System Performance of Continual Learning for Mobile and Embedded Sensing Applications. CoRR, v. abs/2110.13290
Vallapuram, AK., Nanda, N., Kwon, YD. and Hui, P., 2021. Interpretable business survival prediction Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2021,
Doi: 10.1145/3487351.3488353
Haq, EU., Braud, T., Kwon, YD. and Hui, P., 2020. Enemy at the Gate: Evolution of Twitter User's Polarization during National Crisis Proceedings of the 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2020,
Doi: 10.1109/ASONAM49781.2020.9381296
Kwon, YD., Shatilov, KA., Lee, LH., Kumyol, S., Lam, KY., Yau, YP. and Hui, P., 2020. MyoKey: Surface Electromyography and Inertial Motion Sensing-based Text Entry in AR 2020 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2020,
Doi: 10.1109/PerComWorkshops48775.2020.9156084
Kwon, YD., Mogavi, RH., Ul Haq, E., Kwon, Y., Ma, X. and Hui, P., 2019. Effects of ego networks and communities on self-disclosure in an online social network Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2019,
Doi: 10.1145/3341161.3342881
Kwon, YD., Singh, R., Khwaja, M., Tan, NAH., Narazani, M., Wozniak, MP., Nasser, A., Majethia, R., Van Kleunen, L. and Neumann, V., 2019. UbiComp/ISWC 2019: A Post-Conference Summary Report IEEE Pervasive Computing, v. 18
Doi: 10.1109/MPRV.2019.2947953
Journal articles
Hadi Mogavi, R., Deng, C., Juho Kim, J., Zhou, P., D. Kwon, Y., Hosny Saleh Metwally, A., Tlili, A., Bassanelli, S., Bucchiarone, A., Gujar, S., Nacke, LE. and Hui, P., 2024. ChatGPT in education: A blessing or a curse? A qualitative study exploring early adopters’ utilization and perceptions Computers in Human Behavior: Artificial Humans, v. 2
Doi: http://doi.org/10.1016/j.chbah.2023.100027
Shatilov, KA., Kwon, YD., Lee, LH., Chatzopoulos, D. and Hui, P., 2023. MyoKey: Inertial Motion Sensing and Gesture-Based QWERTY Keyboard for Extended Realities IEEE Transactions on Mobile Computing, v. 22
Doi: 10.1109/TMC.2022.3156939
Kwon, YD., Chauhan, J., Kumar, A., Hkust, PH. and Mascolo, C., 2021. Exploring System Performance of Continual Learning for Mobile and Embedded Sensing Applications 6th ACM/IEEE Symposium on Edge Computing, SEC 2021,
Doi: 10.1145/3453142.3491285
Ul Haq, E., Braud, T., Kwon, YD. and Hui, P., 2020. A survey on computational politics IEEE Access, v. 8
Doi: 10.1109/ACCESS.2020.3034983
Chauhan, J., Kwon, YD., Hui, P. and Mascolo, C., 2020. ContAuth Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, v. 4
Doi: 10.1145/3432203
Kumar, A., Braud, T., Kwon, YD. and Hui, P., 2020. Aquilis: Using contextual integrity for privacy protection on mobile devices Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, v. 4
Doi: 10.1145/3432205
