Enjoy the Silence: Noise Control with Smartphones. - Taesik Gong; Jun Hyuk Chang; Joon-Gyum Kim; Soowon Kang; Donghwi Kim; Sung-Ju Lee (ICCCN, 2017)

Identifying Everyday Objects with a Smartphone Knock. - Taesik Gong; Hyunsung Cho; Bowon Lee; Sung-Ju Lee (CHI Extended Abstracts, 2018)

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 (ICMLA, 2019)

Dissecting 802.11ac Performance - Why You Should Turn Off MU-MIMO. - Hyunwoo Choi; Taesik Gong; Jaehun Kim; Jaemin Shin 005; Sung-Ju Lee (MobiSys, 2019)

Real-Time Object Identification with a Smartphone Knock. - Taesik Gong; Hyunsung Cho; Bowon Lee; Sung-Ju Lee (MobiSys, 2019)

Towards Condition-Independent Deep Mobile Sensing. - Taesik Gong; Yeonsu Kim; Jinwoo Shin; Sung-Ju Lee (MobiSys, 2019)

Bringing Context into Emoji Recommendations. - Joon-Gyum Kim; Taesik Gong; Evey Huang; Juho Kim 001; Sung-Ju Lee; Bogoan Kim; Jaeyeon Park; Woojeong Kim; Kyungsik Han; JeongGil Ko (MobiSys, 2019)

MetaSense: few-shot adaptation to untrained conditions in deep mobile sensing. - Taesik Gong; Yeonsu Kim; Jinwoo Shin; Sung-Ju Lee (SenSys, 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 005; Sung-Ju Lee (Ad Hoc Networks, 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)

Messaging Beyond Texts with Real-time Image Suggestions. - Joongyum Kim; Taesik Gong; Kyungsik Han; Juho Kim 001; JeongGil Ko; Sung-Ju Lee (MobileHCI, 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 001; JeongGil Ko; Sung-Ju Lee (ACM Trans. Soc. Comput., 2020)

DAPPER: Performance Estimation of Domain Adaptation in Mobile Sensing. - Taesik Gong; Yewon Kim; Adiba Orzikulova; Yunxin Liu 001; Sung Ju Hwang; Jinwoo Shin; Sung-Ju Lee (CoRR, 2021)

MyDJ: Sensing Food Intakes with an Attachable on Your Eyeglass Frame. - Jaemin Shin 005; Seungjoo Lee; Taesik Gong; Hyungjun Yoon; Hyunchul Roh; Andrea Bianchi; Sung-Ju Lee (CHI, 2022)

NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation. - Taesik Gong; Jongheon Jeong; Taewon Kim; Yewon Kim; Jinwoo Shin; Sung-Ju Lee (NeurIPS, 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)

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)

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)

Tailoring Interactions: Exploring the Opportune Moment for Remote Computer-mediated Interactions with Home-alone Dogs. - Yewon Kim; Taesik Gong; Sung-Ju Lee (CHI Extended Abstracts, 2023)

LanSER: Language-Model Supported Speech Emotion Recognition. - Taesik Gong; Josh Belanich; Krishna Somandepalli; Arsha Nagrani; Brian Eoff; Brendan Jou (INTERSPEECH, 2023)

SoTTA: Robust Test-Time Adaptation on Noisy Data Streams. - Taesik Gong; Yewon Kim; Taeckyung Lee; Sorn Chottananurak; Sung-Ju Lee (NeurIPS, 2023)

DAPPER: Label-Free Performance Estimation after Personalization for Heterogeneous Mobile Sensing. - Taesik Gong; Yewon Kim; Adiba Orzikulova; Yunxin Liu 001; Sung Ju Hwang; Jinwoo Shin; Sung-Ju Lee (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023)

MiCrowd: Vision-Based Deep Crowd Counting on MCU. - Sungwook Son; Ahreum Seo; Gyeongseon Eo; Kwangyeon Gill; Taesik Gong; Hyung-Sin Kim (Sensors, 2023)

MIRROR: Towards Generalizable On-Device Video Virtual Try-On for Mobile Shopping. - Dong-Sig Kang; Eunsu Baek; Sungwook Son; Youngki Lee 001; Taesik Gong; Hyung-Sin Kim (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023)

AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation. - Taeckyung Lee; Sorn Chottananurak; Taesik Gong; Sung-Ju Lee (CVPR, 2024)

By My Eyes: Grounding Multimodal Large Language Models with Sensor Data via Visual Prompting. - Hyungjun Yoon; Biniyam Aschalew Tolera; Taesik Gong; Kimin Lee; Sung-Ju Lee (EMNLP, 2024)

Energy Characterization of Tiny AI Accelerator-Equipped Microcontrollers. - Yushan Huang; Taesik Gong; Si Young Jang; Fahim Kawsar; Chulhong Min (HumanSys@SenSys, 2024)

Poster: Time-Efficient Sparse and Lightweight Adaptation for Real-Time Mobile Application. - Hyeongheon Cha; Taesik Gong; Sung-Ju Lee (MobiSys, 2024)

DEX: Data Channel Extension for Efficient CNN Inference on Tiny AI Accelerators. - Taesik Gong; Fahim Kawsar; Chulhong Min (NeurIPS, 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)

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)

ADAPT^2: Adapting Pre-Trained Sensing Models to End-Users via Self-Supervision Replay. - Hyungjun Yoon; Jae Hyun Kwak; Biniyam Aschalew Tolera; Gaole Dai; Mo Li 001; Taesik Gong; Kimin Lee; Sung-Ju Lee (CoRR, 2024)

Adaptive Camera Sensor for Vision Models. - Eunsu Baek; Sunghwan Han; Taesik Gong; Hyung-Sin Kim (ICLR, 2025)

SelfReplay: Adapting Self-Supervised Sensory Models via Adaptive Meta-Task Replay. - Hyungjun Yoon; Jae Hyun Kwak; Biniyam Aschalew Tolera; Gaole Dai; Mo Li 001; Taesik Gong; Kimin Lee; Sung-Ju Lee (SenSys, 2025)

TinyMem: Boosting Multi-DNN Inference on Tiny AI Accelerators with Weight Memory Virtualization. - Changmin Jeon; Taesik Gong; Juheon Yi; Fahim Kawsar; Chulhong Min (HotMobile, 2025)

Test-Time Adaptation with Binary Feedback. - Taeckyung Lee; Sorn Chottananurak; Junsu Kim; Jinwoo Shin; Taesik Gong; Sung-Ju Lee (CoRR, 2025)

Frequency Composition for Compressed and Domain-Adaptive Neural Networks. - Yoojin Kwon; Hongjun Suh; Wooseok Lee; Taesik Gong; Songyi Han; Hyung-Sin Kim (CoRR, 2025)

AI Should Sense Better, Not Just Scale Bigger: Adaptive Sensing as a Paradigm Shift. - Eunsu Baek; Keondo Park; JeongGil Ko; Min-hwan Oh; Taesik Gong; Hyung-Sin Kim (CoRR, 2025)

From Vision to Motion: Translating Large-Scale Knowledge for Data-Scarce IMU Applications. - Hyungjun Yoon; Hyeongheon Cha; Hoang C. Nguyen; Taesik Gong; Sung-Ju Lee (IEEE Trans. Mob. Comput., 2025)