Taesik Gong

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 32

Top Topics

Dirichlet Prior

Mobile Applications

Mining Concept Drifting Data Streams

Domain Adaptation

Top Venues

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

CHI Extended Abstracts

Publications

Taeckyung Lee, Sorn Chottananurak, Taesik Gong, Sung-Ju Lee
AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation. CoRR (2024)
Taesik Gong, Si Young Jang, Utku Günay Acer, Fahim Kawsar, Chulhong Min
Collaborative Inference via Dynamic Composition of Tiny AI Accelerators on MCUs. CoRR (2024)
Hyungjun Yoon, Biniyam Aschalew Tolera, Taesik Gong, Kimin Lee, Sung-Ju Lee
By My Eyes: Grounding Multimodal Large Language Models with Sensor Data via Visual Prompting. CoRR (2024)
Hyeongheon Cha, Taesik Gong, Sung-Ju Lee
Poster: Time-Efficient Sparse and Lightweight Adaptation for Real-Time Mobile Application. MobiSys (2024)
Chulhong Min, Utku Günay Acer, Si Young Jang, Sangwon Choi, Diana A. Vasile, Taesik Gong, Juheon Yi, Fahim Kawsar
An AI-Native Runtime for Multi-Wearable Environments. CoRR (2024)
Hyungjun Yoon, Jae Hyun Kwak, Biniyam Aschalew Tolera, Gaole Dai, Mo Li, Taesik Gong, Kimin Lee, Sung-Ju Lee
ADAPT^2: Adapting Pre-Trained Sensing Models to End-Users via Self-Supervision Replay. CoRR (2024)
Taesik Gong, Yewon Kim, Adiba Orzikulova, Yunxin Liu, Sung Ju Hwang, Jinwoo Shin, Sung-Ju Lee
DAPPER: Label-Free Performance Estimation after Personalization for Heterogeneous Mobile Sensing. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7 (2) (2023)
Sungwook Son, Ahreum Seo, Gyeongseon Eo, Kwangyeon Gill, Taesik Gong, Hyung-Sin Kim
MiCrowd: Vision-Based Deep Crowd Counting on MCU. Sensors 23 (7) (2023)
Taesik Gong, Josh Belanich, Krishna Somandepalli, Arsha Nagrani, Brian Eoff, Brendan Jou
LanSER: Language-Model Supported Speech Emotion Recognition. CoRR (2023)
Taesik Gong, Yewon Kim, Taeckyung Lee, Sorn Chottananurak, Sung-Ju Lee
SoTTA: Robust Test-Time Adaptation on Noisy Data Streams. NeurIPS (2023)
Yewon Kim, Taesik Gong, Sung-Ju Lee
Tailoring Interactions: Exploring the Opportune Moment for Remote Computer-mediated Interactions with Home-alone Dogs. CHI Extended Abstracts (2023)
Taesik Gong, Josh Belanich, Krishna Somandepalli, Arsha Nagrani, Brian Eoff, Brendan Jou
LanSER: Language-Model Supported Speech Emotion Recognition. INTERSPEECH (2023)
Dong-Sig Kang, Eunsu Baek, Sungwook Son, Youngki Lee, Taesik Gong, Hyung-Sin Kim
MIRROR: Towards Generalizable On-Device Video Virtual Try-On for Mobile Shopping. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7 (4) (2023)
Taesik Gong, Yewon Kim, Taeckyung Lee, Sorn Chottananurak, Sung-Ju Lee
SoTTA: Robust Test-Time Adaptation on Noisy Data Streams. CoRR (2023)
Hyungjun Yoon, Hyeongheon Cha, Canh Hoang Nguyen, Taesik Gong, Sung-Ju Lee
IMG2IMU: Applying Knowledge from Large-Scale Images to IMU Applications via Contrastive Learning. CoRR (2022)
Taesik Gong, Jongheon Jeong, Taewon Kim, Yewon Kim, Jinwoo Shin, Sung-Ju Lee
Robust Continual Test-time Adaptation: Instance-aware BN and Prediction-balanced Memory. CoRR (2022)
Taesik Gong, Yeonsu Kim, Ryuhaerang Choi, Jinwoo Shin, Sung-Ju Lee
Adapting to Unknown Conditions in Learning-Based Mobile Sensing. IEEE Trans. Mob. Comput. 21 (10) (2022)
Jaemin Shin, Seungjoo Lee, Taesik Gong, Hyungjun Yoon, Hyunchul Roh, Andrea Bianchi, Sung-Ju Lee
MyDJ: Sensing Food Intakes with an Attachable on Your Eyeglass Frame. CHI (2022)
Taesik Gong, Jongheon Jeong, Taewon Kim, Yewon Kim, Jinwoo Shin, Sung-Ju Lee
NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation. NeurIPS (2022)
Taesik Gong, Yewon Kim, Adiba Orzikulova, Yunxin Liu, Sung Ju Hwang, Jinwoo Shin, Sung-Ju Lee
DAPPER: Performance Estimation of Domain Adaptation in Mobile Sensing. CoRR (2021)
Joongyum Kim, Taesik Gong, Kyungsik Han, Juho Kim, JeongGil Ko, Sung-Ju Lee
Messaging Beyond Texts with Real-time Image Suggestions. MobileHCI (2020)
Joongyum Kim, Taesik Gong, Bogoan Kim, Jaeyeon Park, Woojeong Kim, Evey Huang, Kyungsik Han, Juho Kim, JeongGil Ko, Sung-Ju Lee
No More One Liners: Bringing Context into Emoji Recommendations. ACM Trans. Soc. Comput. 3 (2) (2020)
Taesik Gong, Hyunsung Cho, Bowon Lee, Sung-Ju Lee
Knocker: Vibroacoustic-based Object Recognition with Smartphones. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3 (3) (2019)
Taesik Gong, Alberto Gil C. P. Ramos, Sourav Bhattacharya, Akhil Mathur, Fahim Kawsar
AudiDoS: Real-Time Denial-of-Service Adversarial Attacks on Deep Audio Models. ICMLA (2019)
Taesik Gong, Yeonsu Kim, Jinwoo Shin, Sung-Ju Lee
MetaSense: few-shot adaptation to untrained conditions in deep mobile sensing. SenSys (2019)
Joon-Gyum Kim, Taesik Gong, Evey Huang, Juho Kim, Sung-Ju Lee, Bogoan Kim, Jaeyeon Park, Woojeong Kim, Kyungsik Han, JeongGil Ko
Bringing Context into Emoji Recommendations. MobiSys (2019)
Taesik Gong, Hyunsung Cho, Bowon Lee, Sung-Ju Lee
Real-Time Object Identification with a Smartphone Knock. MobiSys (2019)
Hyunwoo Choi, Taesik Gong, Jaehun Kim, Jaemin Shin, Sung-Ju Lee
Use MU-MIMO at your own risk - Why we don't get Gb/s Wi-Fi. Ad Hoc Networks 83 (2019)
Hyunwoo Choi, Taesik Gong, Jaehun Kim, Jaemin Shin, Sung-Ju Lee
Dissecting 802.11ac Performance - Why You Should Turn Off MU-MIMO. MobiSys (2019)
Taesik Gong, Yeonsu Kim, Jinwoo Shin, Sung-Ju Lee
Towards Condition-Independent Deep Mobile Sensing. MobiSys (2019)
Taesik Gong, Hyunsung Cho, Bowon Lee, Sung-Ju Lee
Identifying Everyday Objects with a Smartphone Knock. CHI Extended Abstracts (2018)
Taesik Gong, Jun Hyuk Chang, Joon-Gyum Kim, Soowon Kang, Donghwi Kim, Sung-Ju Lee
Enjoy the Silence: Noise Control with Smartphones. ICCCN (2017)