TAESIK GONG

Assistant Professor

UNIST CSE & AIGS

Ubiquitous AI Lab

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I am an Assistant Professor in the Department of Computer Science and Engineering (CSE) and Artificial Intelligence Graduate School (AIGS) at Ulsan National Institute of Science and Technology (UNIST), where I lead the Ubiquitous AI (UAI) Lab.

Previously, I was a Research Scientist at Bell Labs and also a Visiting Scholar at the University of Cambridge. I earned my Ph.D. and M.S. from School of Computing at KAIST, under the supervision of Prof. Sung-Ju Lee, with close collaboration with Prof. Jinwoo Shin. I am a recipient of the Google Ph.D. Fellowship in Machine Learning. My Ph.D. dissertation received the Best Ph.D. Dissertation Award from both the School of Computing and the College of Engineering at KAIST. During my Ph.D., I did research internships at Google Research/Google AI (2022), Microsoft Research (2019), and Bell Labs (2018). I received my B.S. in Computer Science from Yonsei University with Summa Cum Laude.

News

May. 2026 | 📝 Paper accepted to ICML '26
Apr. 2026 | 📝 Paper accepted to ACL '26 (Oral Presentation)
Jan. 2026 | 👔 Co-General Chair at EIFCOM @ MobiSys '26
Sep. 2025 | 📝 Two papers accepted to NeurIPS '25
Jul. 2025 | 👔 Program Committee at AAAI '26
May. 2025 | 📝 Paper accepted to ICML '25
Apr. 2025 | 📝 Paper accepted to TMC '25
Mar. 2025 | 📝 Paper accepted to TMC '25
Jan. 2025 | 📝 Paper accepted to ICLR '25
Jan. 2025 | 📝 Paper accepted to SenSys '25
Dec. 2024 | 🛫 NeurIPS '24 @ Vancouver, Canada (Dec. 10 - Dec. 14)
Nov. 2024 | 👔 Technical Program Committee at ACM SenSys '25
Nov. 2024 | 🏆 Best Paper Award at ACM HumanSys '24
Sep. 2024 | 📝 Paper accepted to NeurIPS '24
Sep. 2024 | 📝 Paper accepted to EMNLP '24
Aug. 2024 | 👔 Assistant Professor at UNIST CSE & AIGS
Aug. 2024 | 👔 Program Committee at AAAI '25
Apr. 2024 | 👔 Technical Program Committee at FairComp @ UbiComp/ISWC '24
Mar. 2024 | 👔 Technical Program Committee at UbiComp/ISWC '24
Mar. 2024 | 👔 Artifact Evaluation Committee at ACM MobiSys '24
Mar. 2024 | 👔 Visiting Scholar at the University of Cambridge, Cambridge, UK
Feb. 2024 | 📝 Paper accepted to CVPR '24
Jan. 2024 | 🗣️ Session Speaker at HSN '24
Oct. 2023 | 📝 Paper accepted to ACM UbiComp '24
Oct. 2023 | 🗣️ Special Session Speaker at ICTC '23
Sep. 2023 | 📝 Paper accepted to NeurIPS '23
Aug. 2023 | 👔 Artifact Evaluation Committee at ACM MobiCom '23
Jun. 2023 | 👔 Full-time Research Scientist at Bell Labs, Cambridge, UK
May. 2023 | 📝 Paper accepted to INTERSPEECH '23
Apr. 2023 | 📝 Paper accepted to ACM UbiComp '23
Feb. 2023 | 🏆 Best Ph.D. Dissertation Award from KAIST College of Engineering
Feb. 2023 | 🏆 Best Ph.D. Dissertation Award from KAIST School of Computing
Jan. 2023 | 🏆 AI/CS/EE Rising Stars
Dec. 2022 | 🛫 NeurIPS '22 @ New Orleans, LA (Nov. 28 - Dec. 3)
Nov. 2022 | 🏆 Qualcomm Innovation Fellowship Finalist
Oct. 2022 | 🏆 Google Conference Scholarship
Sep. 2022 | 📝 Paper accepted to NeurIPS '22
Aug. 2022 | 👔 Research Internship at Google Research/Google AI, NYC, USA
May. 2022 | 👔 Shadow Program Committee at ACM SenSys '22
Mar. 2022 | 🏆 Honorable Mention at ACM CHI '22
Nov. 2021 | 📝 Paper accepted to ACM CHI '22
Feb. 2021 | 🏆 Global Leadership Award from the President of KAIST
Feb. 2021 | 📝 Paper accepted to IEEE Transactions on Mobile Computing (TMC)
Dec. 2020 | 🗣️ Invited Seminar at EIRIC (Electronic & Information Research Information Center)
Oct. 2020 | 🏆 Google Ph.D. Fellowship
Jun. 2020 | 📝 Paper accepted to ACM MobileHCI '20
Jul. 2019 | 📝 Paper accepted to ACM SenSys '19
Jul. 2019 | 📝 Paper accepted to ACM IMWUT (UbiComp '19)
Jun. 2019 | 🏆 Best Video Award at ACM MobiSys '19
Apr. 2019 | 👔 Research Internship at Microsoft Research, Beijing, China
Nov. 2018 | 🏆 NAVER Ph.D. Fellowship
Jul. 2018 | 👔 Research Internship at Bell Labs, Cambridge, UK
Apr. 2018 | 🏆 Outstanding Presentation Award at ACM SIGCHI Local Chapter, KAIST
Feb. 2018 | 🏆 Best Demo/Poster Award at HCI@KAIST workshop '18

Work Experience

University of Cambridge Logo

2024.08.23 - Present
Assistant Professor, UNIST, Ulsan, Republic of Korea

University of Cambridge Logo

2024.03.01 - 2024.08.22
Visiting Scholar, University of Cambridge, Cambridge, UK
(Host: Prof. Cecilia Mascolo)

Nokia Bell Labs Logo

2023.06.01 - 2024.08.22
Research Scientist, Bell Labs, Cambridge, UK
(Manager: Prof. Fahim Kawsar)

Google Logo

2022.08.22 - 2022.11.25
Research Intern, Google Research/Google AI, NYC, USA
(Mentors: Josh Belanich, Krishna Somandepalli, Arsha Nagrani, Brian Eoff, Brendan Jou)

Microsoft Logo

2019.04.01 - 2019.06.26
Research Intern, Microsoft Research, Beijing, China
(Mentors: Peng Cheng, Yongqiang Xiong)

Nokia Bell Labs Logo

2018.07.01 - 2018.09.30
Research Intern, Bell Labs, Cambridge, UK
(Mentors: Sourav Bhattacharya, Alberto Gil Ramos, Akhil Mathur, Fahim Kawsar)

Education

Taesik Gong

2017.08 - 2023.02
Ph.D. in Computer Science, KAIST, Republic of Korea (Advisor: Sung-Ju Lee)
- Dissertation Title: "Overcoming Domain Shift in Mobile Sensing via Machine Learning"
(Best Ph.D. Dissertation Award from both School of Computing & College of Engineering)
- Committee: Sung-Ju Lee, Jinwoo Shin, Sung Ju Hwang, Youngki Lee, Nicholas Lane

Taesik Gong

2016.03 - 2017.08
M.S. in Computer Science, KAIST, Republic of Korea (Advisor: Sung-Ju Lee)

Taesik Gong

2012.03 - 2016.02
B.S. in Computer Science, Yonsei University, Republic of Korea (Summa Cum Laude)

PUBLICATIONS (SELECTED)

This page lists selected publications only.

For the full publication list, please visit my lab website.

*:Co-primary authors; †:Co-corresponding authors

"From Volume to Value: Preference-Aligned Memory Construction for On-Device RAG"
Changmin Lee, Jaemin Kim, Taesik Gong
ICML 2026
PDF Arxiv

"ExPerT: Personalizing LLM Responses to Users' Domain Expertise via Query-Wise Semantic and Keystroke Behavioral Cues"
Yeji Park, Jiwon Tark, Taesik Gong
ACL 2026 (main track, long paper)
Oral Presentation

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

"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
NeurIPS 2025
PDF Arxiv

"Test-Time Adaptation with Binary Feedback"
Taeckyung Lee, Sorn Chottananurak, Junsu Kim, Jinwoo Shin, Taesik Gong†, Sung-Ju Lee†
ICML 2025
PDF Arxiv

"Adaptive Camera Sensor for Vision Models"
Eunsu Baek, Sung-hwan Han, Taesik Gong†, Hyung-Sin Kim†
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
SenSys 2025
PDF Arxiv

"DEX: Data Channel Extension for Efficient CNN Inference on Tiny AI Accelerators"
Taesik Gong, Fahim Kawsar, Chulhong Min
NeurIPS 2024
PDF Arxiv

"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 (main track, long paper)
PDF Arxiv Qualcomm Innovation Fellowship Winner

"AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation"
Taeckyung Lee, Sorn Chottananurak, Taesik Gong, Sung-Ju Lee
CVPR 2024
PDF Arxiv

"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
UbiComp (IMWUT) 2024
PDF

"SoTTA: Robust Test-Time Adaptation on Noisy Data Streams"
Taesik Gong*, Yewon Kim*, Taeckyung Lee*, Sorn Chottananurak, Sung-Ju Lee
NeurIPS 2023
PDF Arxiv

"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
UbiComp (IMWUT) 2023
PDF Arxiv

"NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation"
Taesik Gong, Jongheon Jeong, Taewon Kim, Yewon Kim, Jinwoo Shin, Sung-Ju Lee
NeurIPS 2022
PDF Arxiv 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
CHI 2022
PDF Video Honorable Mention

"MetaSense: Few-Shot Adaptation to Untrained Conditions in Deep Mobile Sensing"
Taesik Gong, Yeonsu Kim, Jinwoo Shin, Sung-Ju Lee
SenSys 2019
PDF Video

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

HONORS

Oral Presentation
For the top 4% of submissions, ACL 2026 Main Conference, 2026

Qualcomm Innovation Fellowship Winner
For qualified papers in the field of AI/ML, 2025

Best Paper Award
HumanSys 2024 (co-located with SenSys ‘24)

Best Ph.D. Dissertation Award
For the top 10 out of 491 (2%) Ph.D. dissertations, College of Engineering, KAIST, 2023

Best Ph.D. Dissertation Award
For the top 3 out of 41 (7%) Ph.D. dissertations, School of Computing, KAIST, 2023

AI/CS/EE Rising Stars
For early-career researchers who study AI/CS/EE, supported by Google Explore CS Research, 2023

Qualcomm Innovation Fellowship Finalist
For qualified papers in the field of AI/ML, 2022

Google Conference Scholarship
For the primary author with a paper accepted in selected conferences, 2022

Best TA Award
Introduction to Programming (CS101, 2022 Spring), School of Computing, KAIST, 2022

Best Paper Honorable Mention
For the top 5% of all submissions, CHI, 2022

Global Leadership Award
For the most outstanding grad student in creativity, from the President of KAIST, 2021

Google Ph.D. Fellowship
One of the two recipients from the Republic of Korea (only one for Machine Learning), 2020

Best Video Award
MobiSys 2019

NAVER Ph.D. Fellowship
One of the ten Ph.D. students with outstanding research outcomes in KAIST CS Dept., 2018

Outstanding Presentation Award
ACM SIGCHI Korea Local Chapter, 2018

Best Demo/Poster Award
HCI@KAIST Annual Winter Workshop, 2018

Best TA Award
Introduction to Computer Networks (CS341, 2016 Fall), School of Computing, KAIST, 2017

ACADEMIC SERVICES

Organizer

EIFCOM @ ACM MobiSys ‘26 (Co-General Chair)

Committee

ACM SenSys ‘25 (Technical Program Committee)
AAAI ‘25 ‘26 (Program Committee)
UbiComp/ISWC ‘24 ‘25 (Technical Program Committee)
FairComp @ UbiComp/ISWC ‘24 (Technical Program Committee)
ACM MobiSys ‘24 (Artifact Evaluation Committee)
ACM MobiCom ‘23 (Artifact Evaluation Committee)
ACM SenSys ‘22 (Shadow Program Committee)

Reviewer

NeurIPS ‘24 ‘25
ICML ‘25 ‘26
ICLR ‘25 ‘26
CVPR ‘24 ‘25 ‘26
ICCV ‘25
ECCV ‘26
AISTATS ‘25
ACM IMWUT ‘20 ‘21 ‘22 ‘23 ‘25
ACM CHI ‘20 ‘21 ‘24 ‘25
ACM Transactions on Computing for Healthcare ‘25
TMLR ‘25
IEEE TPAMI ‘23
IEEE TMC ‘20 ‘22
IEEE Pervasive Computing ‘21
ACM TIOT ‘23
ACM CHI ‘20 Case Studies
ACM TEI ‘20 Work-in-Progress
ACM CHI PLAY ‘19 Work-in-Progress

PATENTS

“Preference-Based Index Management Method for Generating Personalized Search Responses and System Supporting the Same”
Taesik Gong, Changmin Lee, Jaemin Kim
Korea Patent; Filing date: 2025.11.26, No.10-2025-0182629

“LLM Response Personalization Based on User Expertise Utilizing Query-Level Semantic and Behavioral Cues”
Taesik Gong, Yeji Park
Korea Patent; Filing date: 2025.11.19, No.10-2025-0175678

“Apparatus, Method, and System for Multi-Device Wearability-Aware Heat Orchestration”
Taesik Gong, Chulhong Min, Si Young Jang
U.S. Patent; Filing date: 2025.02.19, No.US19/057,238; Publication date: 2025.08.21, No.US20250264933A1

“Language-Model Supported Speech Emotion Recognition”
Josh Belanich, Taesik Gong, Krishna Somandepalli, Brian Eoff, Brendan Wesley Jou, Arsha Nagrani
U.S. Patent; Filing date: 2023.08.18, No.US 18/235,372; Publication date: 2025.02.25, No.US20250061917A1

“Method and Apparatus for Producing Learning Model by Using Meta Learning and Federated Learning”
Sung-Ju Lee, Jaewon Jung, Jaemin Shin, Taesik Gong
Korea Patent; Filing date: 2022.12.12, No.10-2022-0172942

“Time-aware Reinforcement-Learning Method for Geographic Ad Hoc Routing with Predefined Mobility and Computer Device for the same”
Jaeha Ahn, Sung-Ju Lee, Taesik Gong, HyungJun Yoon, Taeckyung Lee
Korea Patent; Filing date: 2022.11.11, No.10-2022-0150662; Issued date: 2024.12.02, No.10-2738891-0000

“System, Method, Computer-Readable Storage Medium, and Computer Program for Reinforcement Learning Regarding Ad-Hoc Routing”
Jaeha Ahn, Sung-Ju Lee, Taesik Gong, HyungJun Yoon, Taeckyung Lee
Korea Patent; Filing date: 2022.03.21, No.10-2022-0034824; Issued date: 2024.04.22, No.10-2660836-0000

“Data Communication Method”
Jaeha Ahn, Nansol Seo, Jaemoon Lee, Jaewoo Joo, Min Lee, Youngbin You, Jaebong Lee, Yung Yi, Dongheon Lee, Joonki Hong, Kyunghwan Son, WanJu Kang, Sung-Ju Lee, Joon-Gyum Kim, Taesik Gong, Jaewon Jung
Korea Patent; Filing date: 2020.06.10, No.10-2020-0070503; Issued date: 2021.09.10, No.10-2302743-0000

“Method and Apparatus for Mobile Sensing for Few-Shot Adapting to Untrained Conditions”
Sung-Ju Lee, Taesik Gong, Yeonsu Kim, Jinwoo Shin
Korea Patent; Filing date: 2019.12.24, No.10-2019-0173544; Issued date: 2023.02.17, No.10-25024410-0000

“Method and Apparatus for Identifying Object Based on Knock”
Sung-Ju Lee, Taesik Gong, Hyunsung Cho, Bowon Lee
Korea Patent; Filing date: 2018.07.24, No.10-2018-0086161; Issued date: 2019.11.27, No.10-2051493-0000

“Active Noise Control using Smart-phone”
Sung-Ju Lee, Taesik Gong, Jun Hyuk Chang, Joon-Gyum Kim, Soowon Kang, Donghwi Kim
Korea Patent; Filing date: 2017.09.25, No.10-2017-0123715; Issued date: 2019.01.30, No.10-1945776-0000

“Recommendation System for Corresponding Message”
Sung-Ju Lee, Joon-Gyum Kim, Taesik Gong, Jun Hyuk Chang, JeongGil Ko
Korea Patent; Filing date: 2017.08.18, No.10-2017-0104408; Issued date: 2019.05.20, No.10-1982081-0000