We primarily aim to publish our work in top-tier venues in the computer science field, such as:

• ML/AI: NeurIPS, ICML, ICLR, CVPR, ACL, EMNLP, etc.

• Ubiquitous/Mobile Computing: UbiComp, MobiCom, MobiSys, SenSys, etc.
  
  

Top conf:  Top-tier CS conferences (CSRankings, KIISE (2024) S Tiers, BK21 (2018))
*:Co-primary authors; †:Co-corresponding authors

Preprints & Under Review

"Topic: Efficient Mobile AI Agent"
Mingyu Kim*, Jeonghoon Park*, Hojun Lee, Taesik Gong
Under review at Top conf.

"Topic: Personalized & Memory-Efficient LLM"
Changmin Lee, Jaemin Kim, Taesik Gong
Under review at Top conf.

"Topic: Efficient LLM Adaptation"
Ahin Lee, Sehyun Yun, Changmin Lee, Taesik Gong
Under review at Top conf.

"Topic: On-Device LLM"
WooYoung Song, Juyoung Lee, Taesik Gong
Under review at Top conf.

"Topic: Personalized LLM Application"
Yeji Park, Jiwon Tark, Taesik Gong
Under review at Top conf. 

"Topic: Real-World Test-Time Adaptation"
Jae-Won Yang, Taesik Gong†, Jae-Young Sim†
Under review at Top conf.

"Topic: Robustness Against Domain Shift"
Eunsu Baek, Keondo Park, Ji-yoon Kim, Sojung Kim, Taesik Gong, Hyung-Sin Kim
Under review at Top conf.

"Frequency Composition for Compressed and Domain-Adaptive Neural Networks"
Yoojin Kwon, Hongjun Suh, Wooseok Lee, Taesik Gong, Songyi Han, Hyung-Sin Kim
[PDF] [ArXiv]

"An AI-Native Runtime for Multi-wearable Environments"
Chulhong Min, Utku Günay Acer, SiYoung Jang, Sangwon Choi, Diana A. Vasile, Taesik Gong, Juheon Yi, Fahim Kawsar
[PDF] [ArXiv]

Conferences & Journals

"SNAP: Low-Latency Test-Time Adaptation with Sparse Updates"
Hyeongheon Cha, Dong Min Kim, Hye Won Chung,  Taesik Gong†, Sung-Ju Lee†
(Top conf.) NeurIPS 2025

"Position: 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
(Top conf.) NeurIPS 2025
[PDF] [ArXiv]

"Test-Time Adaptation with Binary Feedback"
Taeckyung Lee, Sorn Chottananurak, Junsu Kim, Jinwoo Shin, Taesik Gong†, Sung-Ju Lee†
(Top conf.) ICML 2025
[PDF] [ArXiv] 

"Synergy: Towards On-Body AI via Tiny AI Accelerator Collaboration on Wearables"
Taesik Gong, SiYoung Jang, Utku Günay Acer, Fahim Kawsar, Chulhong Min
(SCI) IEEE Transactions on Mobile Computing (TMC) 2025 (JCR '23 IF < 5%)
[PDF] [ArXiv] 

"From Vision to Motion: Translating Large-Scale Knowledge for Data-Scarce IMU Applications"
Hyungjun Yoon, Hyeongheon Cha, Canh Hoang Nguyen, Taesik Gong, Sung-Ju Lee
(SCI) IEEE Transactions on Mobile Computing (TMC) 2025 (JCR '23 IF < 5%)
[PDF] 

"Adaptive Camera Sensor for Vision Models"
Eunsu Baek, Sung-Hwan Han, Taesik Gong†, Hyung-Sin Kim†
(Top conf.) ICLR 2025
[PDF] [ArXiv] 

"SelfReplay: Adapting Self-Supervised Sensory Models via Adaptive Meta-Task Replay"
HyungJun Yoon, Jaehyun Kwak, Biniyam Aschalew Tolera, Gaole Dai, Mo Li, Taesik Gong, Kimin Lee, Sung-Ju Lee
(Top conf.) SenSys 2025
[PDF] [ArXiv] 

"DEX: Data Channel Extension for Efficient CNN Inference on Tiny AI Accelerators"
Taesik Gong, Fahim Kawsar, Chulhong Min
(Top conf.) NeurIPS 2024
[PDF] [ArXiv] [Code] 

"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
(Top conf.) EMNLP 2024 (main track, long paper)
[PDF] [ArXiv] [Code] 

"AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation"
Taeckyung Lee, Sorn Chottananurak, Taesik Gong, Sung-Ju Lee
(Top conf.) CVPR 2024
[PDF] [ArXiv] [Code] 

"MIRROR: Towards Generalizable On-Device Video Virtual Try-On for Mobile Shopping"
Dongsig Kang, Eunsu Baek, Sungwook Son, Youngki Lee, Taesik Gong, Hyung-Sin Kim
(Top conf.) UbiComp (IMWUT) 2024
[PDF]

"SoTTA: Robust Test-Time Adaptation on Noisy Data Streams"
Taesik Gong*, Yewon Kim*, Taeckyung Lee*, Sorn Chottananurak, Sung-Ju Lee
(Top conf.) NeurIPS 2023
[PDF] [ArXiv] [Code]

"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
(Top conf.) UbiComp (IMWUT) 2023
[PDF] [ArXiv]

"LanSER: Language-Model Supported Speech Emotion Recognition"
Taesik Gong, Josh Belanich, Krishna Somandepalli, Arsha Nagrani, Brian Eoff, Brendan Jou
INTERSPEECH 2023
[PDF] [ArXiv] 🏆 Oral Presentation

"Tailoring Interactions: Exploring the Opportune Moment for Remote Computer-mediated Interactions with Home-alone Dogs"
Yewon Kim, Taesik Gong, Sung-Ju Lee
CHI EA 2023
[PDF] 

"NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation"
Taesik Gong, Jongheon Jeong, Taewon Kim, Yewon Kim, Jinwoo Shin, Sung-Ju Lee
(Top conf.) NeurIPS 2022
[PDF] [ArXiv] [Code] 🏆 Qualcomm Innovation Fellowship Finalist

"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
(Top conf.) CHI 2022
[PDF] [Video] 🏆 Honorable Mention

"Adapting to Unknown Conditions in Learning-based Mobile Sensing"
Taesik Gong, Yeonsu Kim, Ryuhaerang Choi, Jinwoo Shin, Sung-Ju Lee
(SCI) IEEE Transactions on Mobile Computing (TMC) 2022 (JCR '22 IF < 7%)
[PDF]

"Messaging Beyond Texts with Real-time Image Suggestions"
Joon-Gyum Kim, Taesik Gong, Kyungsik Han, Juho Kim, JeongGil Ko, Sung-Ju Lee
MobileHCI 2020
[PDF] 

"No More One Liners: Bringing Context into Emoji Recommendations"
Joon-Gyum Kim, Taesik Gong, Bogoan Kim, JaeYeon Park, Woojeong Kim, Evey Huang, Kyungsik Han, Juho Kim, JeongGil Ko, Sung-Ju Lee
ACM Transactions on Social Computing (TSC) 2020
[PDF] 

"AudiDoS: Real-Time Denial-of-Service Adversarial Attacks on Deep Audio Models"
Taesik Gong, Alberto Gil C. P. Ramos, Akhil Mathur, Sourav Bhattacharya, Fahim Kawsar
ICMLA 2019
[PDF] 🏆  Oral Presentation

"MetaSense: Few-Shot Adaptation to Untrained Conditions in Deep Mobile Sensing"
Taesik Gong, Yeonsu Kim, Jinwoo Shin, Sung-Ju Lee
(Top conf.) SenSys 2019
[PDF] [Video] [Code]

"Knocker: Vibroacoustic-based Object Recognition with Smartphones"
Taesik Gong, Hyunsung Cho, Bowon Lee, Sung-Ju Lee
(Top conf.) UbiComp (IMWUT) 2019
[PDF] [Video] [Data]

"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
(SCIE) Ad Hoc Networks 2019
[PDF] 

"Identifying Everyday Objects with a Smartphone Knock"
Taesik Gong, Hyunsung Cho, Bowon Lee, Sung-Ju Lee
CHI EA 2018
[PDF] [Video]

"Enjoy the Silence: Noise Control with Smartphones"
Taesik Gong, Jun Hyuk Chang, Joon-Gyum Kim, Soowon Kang, Donghwi Kim, Sung-Ju Lee
ICCCN 2017
[PDF]

Workshops, Posters, Demos, and Videos

"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

"Energy Characterization of Tiny AI Accelerator-Equipped Microcontrollers"
Yushan Huang, Taesik Gong, SiYoung Jang, Fahim Kawsar, Chulhong Min
HumanSys 2024 (co-located with SenSys '24)
[PDF] 🏆 Best Paper Award

"Time-Efficient Sparse and Lightweight Adaptation for Real-Time Mobile Applications"
Hyeongheon Cha, Taesik Gong, Sung-Ju Lee
MobiSys 2024
[PDF]

"Real-Time Object Identification with a Smartphone Knock"
Taesik Gong, Hyunsung Cho, Bowon Lee, Sung-Ju Lee
MobiSys 2019
[PDF] [Video] 🏆 Best Video Award

"Towards Condition-Independent Deep Mobile Sensing"
Taesik Gong, Yeonsu Kim, Jinwoo Shin, Sung-Ju Lee
MobiSys 2019
[PDF] 

"Dissecting 802.11ac Performance - Why We Should Turn Off MU-MIMO"
Hyeonwoo Choi, Taesik Gong, Jaehun Kim, Jaemin Shin, Sung-Ju Lee
MobiSys 2019
[PDF]

"Bringing Context into Emoji Recommendations"
Joon-Gyum Kim, Taesik Gong, Bogoan Kim, JaeYeon Park, Woojeong Kim, Evey Huang, Kyungsik Han, Juho Kim, JeongGil Ko, Sung-Ju Lee
MobiSys 2019
[PDF]