TAESIK GONG

Research Scientist @ Bell Labs

On-Device AI & Human-Centered AI

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I am a Research Scientist at Nokia Bell Labs, where I am working on algorithmic & systematic research for efficient on-device machine learning. 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 Google Ph.D. Fellowship. My Ph.D. dissertation won the Best Ph.D. Dissertation Award from both School of Computing & College of Engineering at KAIST. During my Ph.D., I was a research intern at Google Research/Google AI (2022), Microsoft Research Asia (2019), and Nokia Bell Labs (2018). I received my B.S. in Computer Science from Yonsei University with Summa Cum Laude.

News

Sep. 2023 | 📝 Paper accepted at NeurIPS ‘23
Jun. 2023 | 👔 Start of my journey as a Research Scientist at Nokia Bell Labs, Cambridge, UK
May. 2023 | 📝 Paper accepted at INTERSPEECH ‘23
Apr. 2023 | 📝 Paper accepted at ACM IMWUT (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
Nov. 2022 | 🏆 Qualcomm Innovation Fellowship Finalist
Oct. 2022 | 🏆 Google Conference Scholarship
Sep. 2022 | 📝 Paper accepted at NeurIPS ‘22
Aug. 2022 | 👔 Start of my internship at Google Research/Google AI, NYC, USA
May. 2022 | 👔 Serving as a Shadow Program Committee at ACM SenSys ‘22
Mar. 2022 | 🏆 Honorable Mention at ACM CHI ‘22
Nov. 2021 | 📝 Paper accepted at ACM CHI ‘22
Apr. 2021 | 🤝 Graduate Symposium 2021 by Google Research
Feb. 2021 | 🏆 Global Leadership Awards from the president of KAIST
Feb. 2021 | 📝 Paper accepted at IEEE Transactions on Mobile Computing (TMC)
Dec. 2020 | 💬 Talk at EIRIC (Electronic & Information Research Information Center)
Oct. 2020 | 🏆 Google Ph.D. Fellowship

Work Experience

Nokia Bell Labs Logo

2023.06.01 - Present: Research Scientist, Nokia Bell Labs, Cambridge, UK

Taesik Gong

2023.03.01 - 2023.05.31: Postdoctoral Researcher, NMSL, KAIST, Republic of Korea

Google Logo

2022.08.22 - 2022.11.25: Research Intern, Google Research/Google AI, NYC, USA

Microsoft Logo

2019.04.01 - 2019.06.26: Research Intern, Microsoft Research Asia, Beijing, China

Nokia Bell Labs Logo

2018.07.01 - 2018.09.30: Research Intern, Nokia Bell Labs, Cambridge, UK

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 All

Preprints

"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
arXiv.
PDF Arxiv

Conferences and Journals

"SoTTA: Robust Test-Time Adaptation on Noisy Data Streams"
Taesik Gong*, Yewon Kim*, Taeckyung Lee*, Sorn Chottananurak, and Sung-Ju Lee
Conference on Neural Information Processing Systems (NeurIPS) 2023, New Orleans, LA, USA. (Acceptance Rate: 26.1%)

"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
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2023. Will be presented at ACM UbiComp '23, Cancún, Mexico.
PDF Website Arxiv

"LanSER: Language-Model Supported Speech Emotion Recognition"
Taesik Gong, Josh Belanich, Krishna Somandepalli, Arsha Nagrani, Brian Eoff, and Brendan Jou
INTERSPEECH 2023, Dublin, Ireland.
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
Extended Abstracts of ACM CHI Conference on Human Factors in Computing Systems (CHI EA) 2023, Hamburg, Germany. (Acceptance Rate: 34.0%; 330/968)
PDF Website

"MiCrowd: Vision-Based Deep Crowd Counting on MCU"
Sungwook Son, Ahreum Seo, Gyeongseon Eo, Kwangyeon Gill, Taesik Gong, and Hyung-Sin Kim
Sensors, Volume 23, Issue 7, 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
Conference on Neural Information Processing Systems (NeurIPS) 2022, New Orleans, LA, USA. (Acceptance Rate: 25.6%; 2672/10411)
PDF Website 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
ACM CHI Conference on Human Factors in Computing Systems (CHI) 2022, New Orleans, LA, USA.
PDF Website 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), Volume 21, Issue 10, 2022
PDF Website

"Messaging Beyond Texts with Real-time Image Suggestions"
Joon-Gyum Kim, Taesik Gong, Kyungsik Han, Juho Kim, Jeonggil Ko, and Sung-Ju Lee
International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI) 2020, Virtual Conference.
PDF Website

"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), Volume 3, Issue 2, Article 9, 2020
PDF Website

"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
IEEE International Conference on Machine Learning and Applications (ICMLA) 2019, Boca Raton, Florida, USA.
(Acceptance Rate: 28.8%; 108/375)
PDF Oral Presentation

"MetaSense: Few-Shot Adaptation to Untrained Conditions in Deep Mobile Sensing"
Taesik Gong, Yeonsu Kim, Jinwoo Shin, and Sung-Ju Lee
ACM Conference on Embedded Networked Sensor Systems (SenSys) 2019, New York, NY, USA.
(Acceptance Rate: 19.4%; 28/144)
PDF Website Video Code

"Knocker: Vibroacoustic-based Object Recognition with Smartphones"
Taesik Gong, Hyunsung Cho, Bowon Lee, and Sung-Ju Lee
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Volume 3, Issue 3, Article 83, September 2019. Presented at ACM UbiComp '19, London, UK.
PDF Website Video

"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, Vol. 83, 2019.
PDF Website

"Identifying Everyday Objects with a Smartphone Knock"
Taesik Gong, Hyunsung Cho, Bowon Lee, and Sung-Ju Lee
Extended Abstracts of ACM CHI Conference on Human Factors in Computing Systems (CHI EA) 2018, Montreal, Canada. (Acceptance Rate: 39.7%; 255/641)
PDF Website Video

"Enjoy the Silence: Noise Control with Smartphones"
Taesik Gong, Jun Hyuk Chang, Joon-Gyum Kim, Soowon Kang, Donghwi Kim, and Sung-Ju Lee
International Conference on Computer Communications and Networks (ICCCN) 2017, Vancouver, Canada.
PDF Website

Posters, Demos, and Videos

"Real-Time Object Identification with a Smartphone Knock"
Taesik Gong, Hyunsung Cho, Bowon Lee, and Sung-Ju Lee
ACM International Conference on Mobile Systems, Applications, and Services (MobiSys) 2019, Seoul, Korea.
PDF Video Best Video Award

"Towards Condition-Independent Deep Mobile Sensing"
Taesik Gong, Yeonsu Kim, Jinwoo shin, and Sung-Ju Lee
ACM International Conference on Mobile Systems, Applications, and Services (MobiSys) 2019, Seoul, Korea.
PDF

"Dissecting 802.11ac Performance - Why We Should Turn Off MU-MIMO"
Hyeonwoo Choi, Taesik Gong, Jaehun Kim, Jaemin Shin, and Sung-Ju Lee
ACM International Conference on Mobile Systems, Applications, and Services (MobiSys) 2019, Seoul, Korea.
PDF

"Bringing Context into Emoji Recommendations"
JoonGyum Kim, Taesik Gong, Bogoan Kim, JaeYeon Park, Woojeong Kim, Evey Huang, Kyungsik Han, Juho Kim, JeongGil Ko, and Sung-Ju Lee
ACM International Conference on Mobile Systems, Applications, and Services (MobiSys) 2019, Seoul, Korea.
PDF

HONORS

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

Best Ph.D. Dissertation Award
For 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 division 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

ACM MobiCom ‘23 (Artifact Evaluation Committee)
ACM SenSys ‘22 (Shadow Program Committee)

Reviewer

ACM IMWUT ‘20 ‘21 ‘22 ‘23
ACM CHI ‘20 ‘21
IEEE Pervasive Computing ‘21
IEEE TMC ‘20 ‘22
ACM CHI ‘20 Case Studies
ACM TEI ‘20 Work-in-Progress
ACM CHI PLAY ‘19 Work-in-Progress

PATENTS

“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

“Meta-Learning Based Federated Learning with Small Set”
Sung-Ju Lee, Jaewon Jung, Jaemin Shin, and Taesik Gong
Korea Patent; Filing date: 2021.12.13, No.10-2021-0177384

“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

Research Videos

MyDJ

ACM CHI '22

MetaSense

ACM SenSys '19

Knocker

ACM IMWUT '19

Media Coverage

ARIRANG TV

Knocker | 2019.11.14