Taesik Gong

According to our database, Taesik Gong authored at least 26 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

An AI-Native Runtime for Multi-Wearable Environments.

Chulhong Min, Utku Günay Acer, Si Young Jang, Sangwon Choi, Diana A. Vasile, Taesik Gong, Juheon Yi, Fahim Kawsar

CoRR, 2024

Collaborative Inference via Dynamic Composition of Tiny AI Accelerators on MCUs.

Taesik Gong, Si Young Jang, Utku Günay Acer, Fahim Kawsar, Chulhong Min

CoRR, 2024

2023

MIRROR: Towards Generalizable On-Device Video Virtual Try-On for Mobile Shopping.

Dong-Sig Kang, Eunsu Baek, Sungwook Son, Youngki Lee, Taesik Gong, Hyung-Sin Kim

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., December, 2023

MiCrowd: Vision-Based Deep Crowd Counting on MCU.

Sungwook Son, Ahreum Seo, Gyeongseon Eo, Kwangyeon Gill, Taesik Gong, Hyung-Sin Kim

Sensors, April, 2023

DAPPER: Label-Free Performance Estimation after Personalization for Heterogeneous Mobile Sensing.

Taesik Gong, Yewon Kim, Adiba Orzikulova, Yunxin Liu, Sung Ju Hwang, Jinwoo Shin, Sung-Ju Lee

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023

LanSER: Language-Model Supported Speech Emotion Recognition.

Taesik Gong, Josh Belanich, Krishna Somandepalli, Arsha Nagrani, Brian Eoff, Brendan Jou

CoRR, 2023

SoTTA: Robust Test-Time Adaptation on Noisy Data Streams.

Taesik Gong, Yewon Kim, Taeckyung Lee, Sorn Chottananurak, Sung-Ju Lee

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Tailoring Interactions: Exploring the Opportune Moment for Remote Computer-mediated Interactions with Home-alone Dogs.

Yewon Kim, Taesik Gong, Sung-Ju Lee

Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022

Adapting to Unknown Conditions in Learning-Based Mobile Sensing.

Taesik Gong, Yeonsu Kim, Ryuhaerang Choi, Jinwoo Shin, Sung-Ju Lee

IEEE Trans. Mob. Comput., 2022

IMG2IMU: Applying Knowledge from Large-Scale Images to IMU Applications via Contrastive Learning.

Hyungjun Yoon, Hyeongheon Cha, Canh Hoang Nguyen, Taesik Gong, Sung-Ju Lee

CoRR, 2022

Robust Continual Test-time Adaptation: Instance-aware BN and Prediction-balanced Memory.

Taesik Gong, Jongheon Jeong, Taewon Kim, Yewon Kim, Jinwoo Shin, Sung-Ju Lee

CoRR, 2022

NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation.

Taesik Gong, Jongheon Jeong, Taewon Kim, Yewon Kim, Jinwoo Shin, Sung-Ju Lee

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

MyDJ: Sensing Food Intakes with an Attachable on Your Eyeglass Frame.

Jaemin Shin, Seungjoo Lee, Taesik Gong, Hyungjun Yoon, Hyunchul Roh, Andrea Bianchi, Sung-Ju Lee

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021

DAPPER: Performance Estimation of Domain Adaptation in Mobile Sensing.

Taesik Gong, Yewon Kim, Adiba Orzikulova, Yunxin Liu, Sung Ju Hwang, Jinwoo Shin, Sung-Ju Lee

CoRR, 2021

2020

No More One Liners: Bringing Context into Emoji Recommendations.

Joongyum Kim, Taesik Gong, Bogoan Kim, Jaeyeon Park, Woojeong Kim, Evey Huang, Kyungsik Han, Juho Kim, JeongGil Ko, Sung-Ju Lee

ACM Trans. Soc. Comput., 2020

Messaging Beyond Texts with Real-time Image Suggestions.

Joongyum Kim, Taesik Gong, Kyungsik Han, Juho Kim, JeongGil Ko, Sung-Ju Lee

Proceedings of the MobileHCI '20: 22nd International Conference on Human-Computer Interaction with Mobile Devices and Services, 2020

2019

Knocker: Vibroacoustic-based Object Recognition with Smartphones.

Taesik Gong, Hyunsung Cho, Bowon Lee, Sung-Ju Lee

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019

Use MU-MIMO at your own risk - Why we don't get Gb/s Wi-Fi.

Hyunwoo Choi, Taesik Gong, Jaehun Kim, Jaemin Shin, Sung-Ju Lee

Ad Hoc Networks, 2019

MetaSense: few-shot adaptation to untrained conditions in deep mobile sensing.

Taesik Gong, Yeonsu Kim, Jinwoo Shin, Sung-Ju Lee

Proceedings of the 17th Conference on Embedded Networked Sensor Systems, 2019

Bringing Context into Emoji Recommendations.

Joon-Gyum Kim, Taesik Gong, Evey Huang, Juho Kim, Sung-Ju Lee, Bogoan Kim, Jaeyeon Park, Woojeong Kim, Kyungsik Han, JeongGil Ko

Proceedings of the 17th Annual International Conference on Mobile Systems, 2019

Towards Condition-Independent Deep Mobile Sensing.

Taesik Gong, Yeonsu Kim, Jinwoo Shin, Sung-Ju Lee

Proceedings of the 17th Annual International Conference on Mobile Systems, 2019

Real-Time Object Identification with a Smartphone Knock.

Taesik Gong, Hyunsung Cho, Bowon Lee, Sung-Ju Lee

Proceedings of the 17th Annual International Conference on Mobile Systems, 2019

Dissecting 802.11ac Performance - Why You Should Turn Off MU-MIMO.

Hyunwoo Choi, Taesik Gong, Jaehun Kim, Jaemin Shin, Sung-Ju Lee

Proceedings of the 17th Annual International Conference on Mobile Systems, 2019

AudiDoS: Real-Time Denial-of-Service Adversarial Attacks on Deep Audio Models.

Taesik Gong, Alberto Gil C. P. Ramos, Sourav Bhattacharya, Akhil Mathur, Fahim Kawsar

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2018

Identifying Everyday Objects with a Smartphone Knock.

Taesik Gong, Hyunsung Cho, Bowon Lee, Sung-Ju Lee

Proceedings of the Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

2017

Enjoy the Silence: Noise Control with Smartphones.

Taesik Gong, Jun Hyuk Chang, Joon-Gyum Kim, Soowon Kang, Donghwi Kim, Sung-Ju Lee

Proceedings of the 26th International Conference on Computer Communication and Networks, 2017