| NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation T Gong, J Jeong, T Kim, Y Kim, J Shin, SJ Lee Advances in Neural Information Processing Systems, 2022 | 227* | 2022 |
| MetaSense: Few-Shot Adaptation to Untrained Conditions in Deep Mobile Sensing T Gong, Y Kim, J Shin, SJ Lee Proceedings of the 17th Conference on Embedded Networked Sensor Systems, 110-123, 2019 | 123 | 2019 |
| Sotta: Robust test-time adaptation on noisy data streams T Gong, Y Kim, T Lee, S Chottananurak, SJ Lee Advances in Neural Information Processing Systems 36, 14070-14093, 2023 | 63 | 2023 |
| Knocker: Vibroacoustic-based object recognition with smartphones T Gong, H Cho, B Lee, SJ Lee Proceedings of the ACM on interactive, mobile, wearable and ubiquitous …, 2019 | 46 | 2019 |
| Mydj: Sensing food intakes with an attachable on your eyeglass frame J Shin, S Lee, T Gong, H Yoon, H Roh, A Bianchi, SJ Lee Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems …, 2022 | 29 | 2022 |
| No more one liners: Bringing context into emoji recommendations J Kim, T Gong, B Kim, J Park, W Kim, E Huang, K Han, J Kim, J Ko, SJ Lee ACM Transactions on Social Computing 3 (2), 1-25, 2020 | 26 | 2020 |
| By my eyes: Grounding multimodal large language models with sensor data via visual prompting H Yoon, BA Tolera, T Gong, K Lee, SJ Lee arXiv preprint arXiv:2407.10385, 2024 | 21 | 2024 |
| LanSER: Language-Model Supported Speech Emotion Recognition T Gong, J Belanich, K Somandepalli, A Nagrani, B Eoff, B Jou INTERSPEECH 2023, 2023 | 19 | 2023 |
| Dapper: Label-free performance estimation after personalization for heterogeneous mobile sensing T Gong, Y Kim, A Orzikulova, Y Liu, SJ Hwang, J Shin, SJ Lee Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2023 | 19* | 2023 |
| Adapting to unknown conditions in learning-based mobile sensing T Gong, Y Kim, R Choi, J Shin, SJ Lee IEEE Transactions on Mobile Computing 21 (10), 3470-3485, 2021 | 16 | 2021 |
| Collaborative inference via dynamic composition of tiny ai accelerators on mcus T Gong, SY Jang, UG Acer, F Kawsar, C Min arXiv preprint arXiv:2401.08637, 2023 | 14 | 2023 |
| Messaging beyond texts with real-time image suggestions J Kim, T Gong, K Han, J Kim, JG Ko, SJ Lee 22nd International Conference on Human-Computer Interaction with Mobile …, 2020 | 14 | 2020 |
| Aetta: Label-free accuracy estimation for test-time adaptation T Lee, S Chottananurak, T Gong, SJ Lee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 13 | 2024 |
| Audidos: Real-time denial-of-service adversarial attacks on deep audio models T Gong, AGCP Ramos, S Bhattacharya, A Mathur, F Kawsar 2019 18th IEEE International Conference On Machine Learning And Applications …, 2019 | 10 | 2019 |
| Use MU-MIMO at your own risk—Why we don’t get Gb/s Wi-Fi H Choi, T Gong, J Kim, J Shin, SJ Lee Ad Hoc Networks 83, 78-90, 2019 | 9 | 2019 |
| Identifying everyday objects with a smartphone knock T Gong, H Cho, B Lee, SJ Lee Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing …, 2018 | 8 | 2018 |
| DEX: Data channel extension for efficient CNN inference on tiny AI accelerators T Gong, F Kawsar, C Min Advances in Neural Information Processing Systems 37, 43925-43951, 2024 | 6 | 2024 |
| Tailoring interactions: exploring the opportune moment for remote computer-mediated interactions with home-alone dogs Y Kim, T Gong, SJ Lee Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing …, 2023 | 6 | 2023 |
| Img2imu: Applying knowledge from large-scale images to imu applications via contrastive learning H Yoon, H Cha, CH Nguyen, T Gong, SJ Lee arXiv preprint arXiv:2209.00945, 2022 | 5 | 2022 |
| Bringing context into emoji recommendations (poster) JG Kim, T Gong, E Huang, J Kim, SJ Lee, B Kim, JY Park, W Kim, K Han, ... Proceedings of the 17th annual international conference on mobile systems …, 2019 | 5 | 2019 |
Sung-Ju LeeKAISTVerified email at kaist.ac.kr
