Publications

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

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

Preprints & Under Review

  • Topic: System for On-Device AI Agent Acceleration
    Taehwan Park*, Changmin Lee*, Hayeon Lee, Taesik Gong
    Under review at Top conf.
  • Premover: Fast Vision-Language-Action Control by Acting Before Instructions Are Complete
    Joonha Park, Jiseung Jeong, Taesik Gong
  • Topic: Efficient Mobile AI Agent
    Jeonghoon Park, Mingyu Kim, Hojun Lee, Taesik Gong
    Under review at Top conf.
  • Topic: Robustness for Industrial Applications
    Hakan Kayan, Nhat Pham, Taesik Gong, Charith Perera
    Under review at Top conf.
  • Topic: Efficient Test-Time Adaptation of VLMs
    Huiwon Gwon, Taesik Gong, Seungjoon Yang
    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.
  • 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

Conferences & Journals

  • CoDA: Frequency-Asymmetric Co-Design for Adaptive Quantized Edge CNNs
    Yoojin Kwon*, Hongjun Suh*, Wooseok Lee*, Taesik Gong, Songyi Han, Hyung-Sin Kim
    Top conf.SenSys 2027
  • ACE: Adapter Consolidation across Experts for Parameter-Efficient Fine-Tuning of MoE LLMs
    Ahin Lee, Sehyun Yun, Joonha Park, Taesik Gong
    Top conf.EMNLP 2026 Main
  • Rethinking Test-Time Adaptation for Streaming Person Re-Identification
    Jae-Won Yang, Taesik Gong†, Jae-Young Sim†
    BMVC 2026
  • From Volume to Value: Preference-Aligned Memory Construction for On-Device RAG
    Changmin Lee, Jaemin Kim, Taesik Gong
    Top conf.ICML 2026
  • ExPerT: Personalizing LLM Responses to Users' Domain Expertise via Query-Wise Semantic and Keystroke Behavioral Cues
    Yeji Park, Jiwon Tark, Taesik Gong
    Top conf.ACL 2026 Main
    🏆 SAC Highlight Award (top 2%, 255 / 12,148) · 🏆 Oral Presentation (top 4%, 486 / 12,148)
  • 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
  • Test-Time Adaptation with Binary Feedback
    Taeckyung Lee, Sorn Chottananurak, Junsu Kim, Jinwoo Shin, Taesik Gong†, Sung-Ju Lee†
    Top conf.ICML 2025
  • Synergy: Towards On-Body AI via Tiny AI Accelerator Collaboration on Wearables
    Taesik Gong, SiYoung Jang, Utku Günay Acer, Fahim Kawsar, Chulhong Min
    SCIIEEE Transactions on Mobile Computing (TMC) 2025 (JCR '23 IF < 5%)
  • 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
    SCIIEEE Transactions on Mobile Computing (TMC) 2025 (JCR '23 IF < 5%)
  • Adaptive Camera Sensor for Vision Models
    Eunsu Baek, Sung-Hwan Han, Taesik Gong†, Hyung-Sin Kim†
    Top conf.ICLR 2025
  • 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
  • DEX: Data Channel Extension for Efficient CNN Inference on Tiny AI Accelerators
    Taesik Gong, Fahim Kawsar, Chulhong Min
    Top conf.NeurIPS 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
    Top conf.EMNLP 2024 Main
    🏆 Qualcomm Innovation Fellowship Winner
  • AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation
    Taeckyung Lee, Sorn Chottananurak, Taesik Gong, Sung-Ju Lee
    Top conf.CVPR 2024
  • 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
  • SoTTA: Robust Test-Time Adaptation on Noisy Data Streams
    Taesik Gong*, Yewon Kim*, Taeckyung Lee*, Sorn Chottananurak, Sung-Ju Lee
    Top conf.NeurIPS 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
    Top conf.UbiComp (IMWUT) 2023
  • LanSER: Language-Model Supported Speech Emotion Recognition
    Taesik Gong, Josh Belanich, Krishna Somandepalli, Arsha Nagrani, Brian Eoff, Brendan Jou
    INTERSPEECH 2023
    🏆 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
  • 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
    🏆 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
    🏆 Honorable Mention
  • Adapting to Unknown Conditions in Learning-based Mobile Sensing
    Taesik Gong, Yeonsu Kim, Ryuhaerang Choi, Jinwoo Shin, Sung-Ju Lee
    SCIIEEE Transactions on Mobile Computing (TMC) 2022 (JCR '22 IF < 7%)
  • Messaging Beyond Texts with Real-time Image Suggestions
    Joon-Gyum Kim, Taesik Gong, Kyungsik Han, Juho Kim, JeongGil Ko, Sung-Ju Lee
    MobileHCI 2020
  • 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
  • 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
    🏆 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
  • Knocker: Vibroacoustic-based Object Recognition with Smartphones
    Taesik Gong, Hyunsung Cho, Bowon Lee, Sung-Ju Lee
    Top conf.UbiComp (IMWUT) 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
    (SCIE) Ad Hoc Networks 2019
  • Identifying Everyday Objects with a Smartphone Knock
    Taesik Gong, Hyunsung Cho, Bowon Lee, Sung-Ju Lee
    CHI EA 2018
  • Enjoy the Silence: Noise Control with Smartphones
    Taesik Gong, Jun Hyuk Chang, Joon-Gyum Kim, Soowon Kang, Donghwi Kim, Sung-Ju Lee
    ICCCN 2017

Workshops, Posters, Demos, and Videos

  • EPnG: Adaptive Expert Prune-and-Grow for Parameter-Efficient MoE Fine-tuning
    Ahin Lee, Sehyun Yun, Taesik Gong
    EIFCOM 2026 (co-located with MobiSys '26)
    🏆 Best Paper Award
  • 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)
    🏆 Best Paper Award
  • Time-Efficient Sparse and Lightweight Adaptation for Real-Time Mobile Applications
    Hyeongheon Cha, Taesik Gong, Sung-Ju Lee
    MobiSys 2024
  • Real-Time Object Identification with a Smartphone Knock
    Taesik Gong, Hyunsung Cho, Bowon Lee, Sung-Ju Lee
    MobiSys 2019
    🏆 Best Video Award
  • Towards Condition-Independent Deep Mobile Sensing
    Taesik Gong, Yeonsu Kim, Jinwoo Shin, Sung-Ju Lee
    MobiSys 2019
  • Dissecting 802.11ac Performance – Why We Should Turn Off MU-MIMO
    Hyeonwoo Choi, Taesik Gong, Jaehun Kim, Jaemin Shin, Sung-Ju Lee
    MobiSys 2019
  • 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