TAESIK GONG

Assistant Professor

UNIST CSE & AIGS

Ubiquitous AI Lab (Hiring!)
CV Email LinkedIn X Github Google Scholar

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 Nokia 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 Nokia Bell Labs (2018). I received my B.S. in Computer Science from Yonsei University with Summa Cum Laude.

News

Sep. 2024 | 📝 Paper accepted at NeurIPS ‘24
Sep. 2024 | 📝 Paper accepted at 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 at CVPR ‘24
Jan. 2024 | 🗣️ Session Speaker at HSN ‘24
Dec. 2023 | 🛫 NeurIPS ‘23 @ New Orleans, LA (Dec. 10 - Dec. 15)
Oct. 2023 | 📝 Paper accepted at ACM UbiComp ‘24
Oct. 2023 | 🗣️ Special Session Speaker at ICTC ‘23
Oct. 2023 | 🛫 UbiComp ‘23 @ Cancun, Mexico (Oct. 8 - 12)
Sep. 2023 | 📝 Paper accepted at NeurIPS ‘23
Aug. 2023 | 👔 Artifact Evaluation Committee at ACM MobiCom ‘23
Jun. 2023 | 👔 Full-time Research Scientist at Nokia Bell Labs, Cambridge, UK
May. 2023 | 📝 Paper accepted at INTERSPEECH ‘23
Apr. 2023 | 📝 Paper accepted at 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

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, Nokia 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, Nokia 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

All Selected (top-tier)

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

Preprints & Under Review

"Anonymized Title"
Taeckyung Lee, Sorn Chottananurak, Junsu Kim, Jinwoo Shin, Taesik Gong^, and Sung-Ju Lee^
Under review at ICLR 2025

"Anonymized Title"
Hyeongheon Cha, Dong Min Kim, Taesik Gong^, Hye Won Chung, Sung-Ju Lee^
Under review at ICLR 2025

"Anonymized Title"
Eunsu Baek, Sung-hwan Han, Taesik Gong, and Hyung-Sin Kim
Under review at ICLR 2025

"Synergy: Towards On-Body AI via Tiny AI Accelerator Collaboration on Wearables"
Taesik Gong, SiYoung Jang, Utku Günay Acer, Fahim Kawsar, and Chulhong Min
Under review
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, and Fahim Kawsar
Under review
PDF Arxiv

"ADAPT²: Adapting Pre-Trained Sensing Models to End-Users via Self-Supervision Replay"
Hyungjun Yoon, Jaehyun Kwak, Biniyam Aschalew Tolera, Gaole Dai, Mo Li, Taesik Gong, Kimin Lee, and Sung-Ju Lee
Under review
PDF Arxiv

"IMG2IMU: Applying Knowledge from Large-Scale Images to IMU Applications via Contrastive Learning"
Hyungjun Yoon, Hyeongheon Cha, Canh Hoang Nguyen, Taesik Gong, and Sung-Ju Lee
Under review
PDF Arxiv

Conferences and Journals

"DEX: Data Channel Extension for Efficient CNN Inference on Tiny AI Accelerators"
Taesik Gong, Fahim Kawsar, and Chulhong Min
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, and Sung-Ju Lee
EMNLP 2024 (main track, long paper)
PDF Arxiv

"AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation"
Taeckyung Lee, Sorn Chottananurak, Taesik Gong, and Sung-Ju Lee
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, and Hyung-Sin Kim
UbiComp (IMWUT) 2024
PDF

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

"LanSER: Language-Model Supported Speech Emotion Recognition"
Taesik Gong, Josh Belanich, Krishna Somandepalli, Arsha Nagrani, Brian Eoff, and 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, and 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, and Sung-Ju Lee
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, and Sung-Ju Lee
CHI 2022
PDF Video Honorable Mention

"Adapting to Unknown Conditions in Learning-based Mobile Sensing"
Taesik Gong, Yeonsu Kim, Ryuhaerang Choi, Jinwoo Shin, and Sung-Ju Lee
IEEE Transactions on Mobile Computing (TMC) 2022
PDF

"Messaging Beyond Texts with Real-time Image Suggestions"
Joon-Gyum Kim, Taesik Gong, Kyungsik Han, Juho Kim, JeongGil Ko, and 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, and 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, and Fahim Kawsar
ICMLA 2019
PDF Oral Presentation

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

"Knocker: Vibroacoustic-based Object Recognition with Smartphones"
Taesik Gong, Hyunsung Cho, Bowon Lee, and Sung-Ju Lee
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, and Sung-Ju Lee
Ad Hoc Networks 2019
PDF

"Identifying Everyday Objects with a Smartphone Knock"
Taesik Gong, Hyunsung Cho, Bowon Lee, and 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, and Sung-Ju Lee
ICCCN 2017
PDF

Workshops, Posters, Demos, and Videos

"Energy Characterization of Tiny AI Accelerator-Equipped Microcontrollers"
Yushan Huang, Taesik Gong, SiYoung Jang, Fahim Kawsar, Chulhong Min
HumanSys 2024

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

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

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

HONORS

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, ACM 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
ACM 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

Committee

AAAI ‘25 (Program Committee)
UbiComp/ISWC ‘24 (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

ICLR ‘25
AISTATS ‘25
NeurIPS ‘24
CVPR ‘24 ‘25
ACM IMWUT ‘20 ‘21 ‘22 ‘23
IEEE TPAMI ‘23
ACM CHI ‘20 ‘21 ‘24 ‘25
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

“Method and Apparatus for Producing Learning Model by Using Meta Learning and Federated Learning”
Sung-Ju Lee, Jaewon Jung, Jaemin Shin, and 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, and Taeckyung Lee
Korea Patent; Filing date: 2022.11.11, No.10-2022-0150662

“Reinforcement Learning for Ad-hoc Routing Using Pre-defined Mobility”
Sung-Ju Lee, Taesik Gong, HyungJun Yoon, Taeckyung Lee, and Jaeha Ahn
Korea Patent; Filing date: 2022.03.21, No.10-2022-0034824

“Method and Apparatus for Mobile Sensing for Few-Shot Adapting to Untrained Conditions”
Sung-Ju Lee, Taesik Gong, Yeonsu Kim, and 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, and 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, and 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, and JeongGil Ko
Korea Patent; Filing date: 2017.08.18, No.10-2017-0104408; Issued date: 2019.05.20, No. 10-1982081-0000

MEDIA

News Articles

A Body of Work: Synergy utilizes on-body networks of tiny AI accelerators…, Hackster.io, 2024.01.31
Google’s 6 Must-Read Papers Published at INTERSPEECH 2023, Analytics India Magazine, 2023.08.21
Google Presents New Research at INTERSPEECH 2023 Conference, TS2, 2023.08.21
Google at Interspeech 2023, Google Research, 2023.08.21
KAIST, 스스로 새로운 환경 적응하는 인공지능 기술 개발, Boan News, 2022.10.22
카이스트, 스스로 새로운 환경 적응하는 AI 기술 개발, The Tech, 2022.10.21
이성주, 신진우 교수팀, 스스로 새로운 환경 적응하는 인공지능 기술 개발, KAIST News, 2022.10.21
” ‘노커’와 ‘메타센스’, 모바일 센싱의 영역·성능 확대”…공태식 카이스트 박사과정 연구원, AI Times, 2020.12.23
Taesik Gong Named Google PhD Fellow, KAIST News, 2020.10.15
Taesik Gong of KAIST has been awarded Google PhD Fellowship, KAIST SoC News, 2020.10.13
[이슈] KAIST 박사과정 공태식 연구원… 구글 AI, ‘PhD 펠로우십 2020’ 머신러닝 부문 선정, AI Times, 2020.10.11
적은 양의 데이터로 스스로 적응하는 ‘모바일 센싱 기술’ 개발, CCTV News, 2020.07.03
카이스트, 스스로 학습하는 모바일 센서 기술 개발, Tech World, 2020.06.12
학습되지 않은 환경에서 스스로 학습하는 모바일 센싱 기술 개발, KAIST News, 2020.06.09
카메라나 RFID없이, 접촉만으로도 정확하게! 스마트폰으로 두드려 사물을 인식한다!, Naver MSIT Blog, 2019.10.28
Sensor fusion lets phone identify objects by simply knocking against them, Electronics Weekly, 2019.10.03
Object identification and interaction with a smartphone knock, Science Daily, 2019.10.02
Smartphone tech recognizes objects by being knocked against them, New ATALS, 2019.10.02
두드리는 것만으로 사물 인식…카이스트, 스마트폰 ‘노커’기술 개발, Segye Ilbo, 2019.10.02
스마트폰으로 ‘톡’ 어떤 사물인지 ‘쏙’, CCToday, 2019.10.02
Object Identification ＆ Interaction with a Smartphone Knock, KAIST SoC research highlight, 2019.10.01
‘스마트폰으로 두드려 사물 인식한다’…’노커’ 기술 개발, SBS News, 2019.10.01
스마트폰으로 사물 두드려 인식하는 ‘노커’ 기술 개발, KBS News, 2019.10.01
카메라 없이도 스마트폰 두드리면 정확하게 사물 인식한다, Herald Economy, 2019.10.01
“스마트폰으로 ‘톡톡’ 치니 생수가 배달되네”, Money S, 2019.10.01
스마트폰으로 ‘두드리면 사물 인식’기술 개발, YTN Science, 2019.10.01
스마트폰으로 ‘두드리면 사물 인식’기술 개발, YTN, 2019.10.01
스마트폰으로 노크하듯 두드리면 사물 인식, Seoul Economy, 2019.10.01
스마트폰으로 노크하듯 두드리면 사물 인식한다, Energy Economy, 2019.10.01
스마트폰으로 노크하듯 두드리면 사물 인식한다, Gukje News, 2019.10.01
KAIST ‘스마트폰으로 노크하면 사물 인식’ 기술 개발, Joongdo Ilbo, 2019.10.01
KAIST, “스마트폰으로 노크하면 사물 인식하는 기술 개발”, EDUDONGA, 2019.10.01
KAIST, 스마트폰 센서만으로 사물 인식 정확도 98% 달성 기술 개발, VERITAS Alpha, 2019.10.01
스마트폰으로 두드리면 사물 인식…KAIST연구팀 ‘노커’기술 개발, News1, 2019.10.01
폰으로 ‘노크’하면 사물 인식…’노커(Knocker)’ 기술 개발, NoCut News, 2019.10.01
스마트폰으로 노크하듯 두드리면 사물 인식한다, GG Ilbo, 2019.10.01
스마트폰으로 두드려 사물을 인식하는 기술 개발, iNews24, 2019.10.01
스마트폰으로 두드리면 사물인식…KAIST, ‘노커 기술’ 개발, Digital Daily, 2019.10.01
한국과학기술원, 접촉만으로 사물 인식 ‘노커 기술’ 개발, Prime Economy, 2019.10.01
이성주 교수, 폰으로 노크만 해도 사물인식하는 기술 개발, Newsis, 2019.10.01
“빈 물통 스마트폰에 두드리니 자동 주문”…KAIST, ‘노커 기술’ 개발, Today Korea, 2019.10.01
스마트폰으로 두드려 사물 인식한다…KAIST 연구팀 ‘노커’ 기술 개발, Aju News, 2019.10.01
국내 연구진, ‘스마트폰으로 두드려 사물인식’ 기술 개발, Kyeonghyang News, 2019.10.01
스마트폰으로 ‘톡톡’ 두드리면 사물 인식 신기술 개발, Chosun Biz, 2019.10.01
스마트폰으로 두드리기만 해도 사물을 인식한다, Financial News, 2019.10.01
스마트폰으로 두드리기만 하면 무엇인지 안다, Asia Economy, 2019.10.01
“스마트폰으로 생수병 톡톡 치니 바로 온라인 주문 되네”, Money Today, 2019.10.01
노크만으로 가능한 세상···”사물 인식하고, 똑똑하게”, HelloDD, 2019.10.01
KAIST, 스마트폰으로 두드려서 물체 식별하는 기술 개발, ENews Today, 2019.10.01
스마트폰으로 두드려 사물인식 신기술 개발, Busan Ilbo, 2019.10.01
스마트폰으로 두드려 사물 인식 신기술 개발, Media Pen, 2019.10.01
스마트폰으로 ‘똑똑’ 두드리면 사물 인식하는 국산 기술 나온다, IT Chosun, 2019.10.01
스마트폰으로 두드려 사물을 인식하는 신기술 개발, News Works, 2019.10.01
KAIST, ‘노커’ 기술 개발…“스마트폰으로 노크만 하면 알람 설정도!”, Good Morning Chungcheong, 2019.10.01
스마트폰으로 ‘똑똑’ 빈병 노크했더니…AI가 자동으로 물 주문, Mail Kyeongjae, 2019.10.01
두드려서 사물 인식하는 스마트폰 ‘노커’기술 개발, Daejeon Ilbo, 2019.10.01
KAIST, 스마트폰 센서만으로 ‘사물 인식’ 기술 개발, Daehak Journal, 2019.10.01
스마트폰으로 노크하듯 두드리면 사물 인식한다, Chungnam Ilbo, 2019.10.01
스마트 폰 두드리는 동작만으로 사물 인식, Dajeon City Journal, 2019.10.01
스마트폰으로 두드리자 사물 인식…마법 같은 ‘노커 기술’, Green Post Korea, 2019.10.01
스마트폰으로 두드려 사물 인식하는 기술 개발, MSIT, 2019.10.01
KAIST, 스마트폰 센서만으로 사물 인식 정확도 98% 달성 기술 개발, MBS, 2019.10.01
“스마트폰으로 두드리니 생수병 알아맞혀”, Bloter.net, 2019.10.01
‘똑똑’ 스마트폰으로 두드려 사물인식 기술 개발, TJMBC, 2019.10.01
스마트폰 노크 기술 개발/리포트, TJMBC, 2019.10.02
‘침대 두드리면 자동 알람설정’..스마트폰으로 ‘노크’ 사물인식, News Pim, 2019.10.01
카이스트, 스마트폰 센서만으로 사물 인식 정확도 98% 달성 기술 개발, News Pim, 2019.10.01
스마트폰으로 두드려 사물 인식…’노커’ 기술 개발, Yonhap News, 2019.10.01
스마트폰으로 두드리면 사물 인식…KAIST, ‘노커’ 기술 개발, ETNews, 2019.10.01
노커, 스마트폰으로 두드리면 다 알아요., ETNews, 2019.10.01
스마트폰으로 두드리면 사물 인식하는 기술 개발…“정확도 98% 달해”, Kookmin Ilbo, 2019.10.01
스마트폰으로 ‘똑똑’…두드리는 것만으로 사물 인식가능한 기술 개발, Kookmin Ilbo, 2019.10.01
스마트폰으로 사물을 두드려 인식하는 신기술 개발, KAIST SoC, 2019.10.01
NAVER Phd Fellowship 선정, KAIST SoC, 2018.12.03
This algorithm makes smartphones recognize objects just by Knocking them, Nerdiest, 2018.04.23
New application allows you to identify an object by tapping it with a smartphone, ictnews, 2018.04.23

Research Videos

MyDJ

ACM CHI '22

MetaSense

ACM SenSys '19

Knocker

ACM IMWUT '19

Media Coverage

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Knocker | 2019.11.14