TAESIK GONG

Taesik Gong

Research Interests: Machine Learning & Mobile Computing


I am on the job market now!
I earned my Ph.D. from School of Computing at KAIST under the supervision of Prof. Sung-Ju Lee. I was fortunate to be funded by Google Ph.D. Fellowship. I was a research intern at Google Research/Google AI, Microsoft Research Asia, and Nokia Bell Labs. Prior to KAIST, I received my B.S. in Computer Science from Yonsei University with Summa Cum Laude.



News

  • Feb. 2023 | ๐Ÿ† Best Ph.D. Dissertation Award from KAIST College of Engineering
  • Feb. 2023 | ๐Ÿ† Best Ph.D. Dissertation Award from KAIST School of Computing
  • Jan. 2023 | ๐Ÿ† AI/CS/EE Rising Stars
  • Nov. 2022 | ๐Ÿ† Qualcomm Innovation Fellowship Finalist
  • Oct. 2022 | ๐Ÿ† Google Conference Scholarship
  • Sep. 2022 | ๐Ÿ“ Paper accepted at NeurIPS โ€˜22
  • Aug. 2022 | ๐Ÿ‘” Start of my internship at Google Research/Google AI, NY, USA
  • May. 2022 | ๐Ÿ‘” Serving as a Shadow Program Committee at ACM SenSys โ€˜22
  • Mar. 2022 | ๐Ÿ† Honorable Mention at ACM CHI โ€˜22
  • Nov. 2021 | ๐Ÿ“ Paper accepted at ACM CHI โ€˜22
  • Apr. 2021 | ๐Ÿค Graduate Symposium 2021 by Google Research
  • Feb. 2021 | ๐Ÿ† Global Leadership Awards from the president of KAIST
  • Feb. 2021 | ๐Ÿ“ Paper accepted at IEEE Transactions on Mobile Computing (TMC) โ€˜21
  • Dec. 2020 | ๐Ÿ’ฌ Talk at EIRIC (Electronic & Information Research Information Center)
  • Oct. 2020 | ๐Ÿ† Google Ph.D. Fellowship
  • Jun. 2020 | ๐Ÿ“ Paper accepted at ACM MobileHCI โ€˜20
  • Jul. 2019 | ๐Ÿ“ Paper accepted at ACM SenSys โ€˜19
  • Jul. 2019 | ๐Ÿ“ Paper accepted at ACM IMWUT (UbiComp) โ€˜19
  • Jun. 2019 | ๐Ÿ† Best Video Award at ACM MobiSys โ€˜19.
  • Apr. 2019 | ๐Ÿ‘” Start of my internship at Microsoft Research Asia, Beijing, China
  • Nov. 2018 | ๐Ÿ† Naver Ph.D. Fellowship
  • Jul. 2018 | ๐Ÿ‘” Start of my internship at Nokia Bell Labs, Cambridge, UK
  • Apr. 2018 | ๐Ÿ† Outstanding Presentation Award at ACM SIGCHI Local Chapter, KAIST
  • Feb. 2018 | ๐Ÿ† Best Demo/Poster Award at HCI@KAIST workshop โ€˜18


Education


Work Experience


PUBLICATIONS


Preprints

โ€œIMG2IMU: Applying Knowledge from Large-Scale Images to IMU Applications via Contrastive Learningโ€
Hyungjun Yoon, Hyeongheon Cha, Canh Hoang Nguyen, Taesik Gong, and Sung-Ju Lee
arXiv.
PDF Arxiv

โ€œDAPPER: Performance Estimation of Domain Adaptation in Mobile Sensingโ€
Taesik Gong, Yewon Kim, Adiba Orzikulova, Yunxin Liu, Sung Ju Hwang, Jinwoo Shin, and Sung-Ju Lee
arXiv.
PDF Arxiv



Conferences and Journals

[NeurIPS โ€˜22] โ€œNOTE: Robust Continual Test-time Adaptation Against Temporal Correlationโ€
Taesik Gong, Jongheon Jeong, Taewon Kim, Yewon Kim, Jinwoo Shin, and Sung-Ju Lee
Conference on Neural Information Processing Systems 2022, New Orleans, LA, USA.
PDF Arxiv Code Qualcomm Innovation Fellowship Finalist

[CHI โ€˜22] โ€œMyDJ: Sensing Food Intakes with an Attachable on Your Eyeglass Frameโ€
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 2022, New Orleans, LA, USA.
PDF Website Video Honorable Mention

[TMC โ€˜22] โ€œAdapting to Unknown Conditions in Learning-based Mobile Sensingโ€
Taesik Gong, Yeonsu Kim, Ryuhaerang Choi, Jinwoo Shin, and Sung-Ju Lee
IEEE Transactions on Mobile Computing, Volume 21, Issue 10, 2022
PDF Website

[MobileHCI โ€˜20] โ€œMessaging Beyond Texts with Real-time Image Suggestionsโ€
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 2020, Virtual Conference.
PDF Website

[TSC โ€˜20] โ€œNo More One Liners: Bringing Context into Emoji Recommendationsโ€
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, Volume 3, Issue 2, Article 9, 2020
PDF Website

[ICMLA โ€˜19] โ€œAudiDoS: Real-Time Denial-of-Service Adversarial Attacks on Deep Audio Modelsโ€
Taesik Gong, Alberto Gil C. P. Ramos, Akhil Mathur, Sourav Bhattacharya, and Fahim Kawsar
IEEE International Conference on Machine Learning and Applications 2019, Boca Raton, Florida, USA.
(Acceptance Rate: 28%; 108/375)

PDF

[SenSys โ€˜19] โ€œMetaSense: Few-Shot Adaptation to Untrained Conditions in Deep Mobile Sensingโ€
Taesik Gong, Yeonsu Kim, Jinwoo Shin, and Sung-Ju Lee
ACM Conference on Embedded Networked Sensor Systems 2019, New York, NY, USA.
(Acceptance Rate: 19%; 28/144)

PDF Website Video Code

[UbiComp โ€˜19] โ€œKnocker: Vibroacoustic-based Object Recognition with Smartphonesโ€
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 (ACM UbiComp โ€˜19), London, UK.
PDF Website Video

[Ad Hoc Networks โ€˜19] โ€œUse MU-MIMO at Your Own Risk โ€“ Why We Donโ€™t Get Gb/s Wi-Fiโ€
Hyunwoo Choi, Taesik Gong, Jaehun Kim, Jaemin Shin, and Sung-Ju Lee
Ad Hoc Networks, Vol. 83, 2019.
PDF Website

[CHI LBW โ€˜18] โ€œIdentifying Everyday Objects with a Smartphone Knockโ€
Taesik Gong, Hyunsung Cho, Bowon Lee, and Sung-Ju Lee
ACM CHI Conference on Human Factors in Computing Systems 2018, Montreal, Canada. (Late-Breaking Work)
PDF Website Video

[ICCCN โ€˜17] โ€œEnjoy the Silence: Noise Control with Smartphonesโ€
Taesik Gong, Jun Hyuk Chang, Joon-Gyum Kim, Soowon Kang, Donghwi Kim, and Sung-Ju Lee
International Conference on Computer Communications and Networks 2017, Vancouver, Canada.
PDF Website



Posters, Demos, and Videos

[MobiSys โ€˜19] โ€œReal-Time Object Identification with a Smartphone Knockโ€
Taesik Gong, Hyunsung Cho, Bowon Lee, and Sung-Ju Lee
ACM International Conference on Mobile Systems, Applications, and Services, Seoul, Korea.
PDF Video Best Video Award

[MobiSys โ€˜19] โ€œTowards Condition-Independent Deep Mobile Sensingโ€
Taesik Gong, Yeonsu Kim, Jinwoo shin, and Sung-Ju Lee
ACM International Conference on Mobile Systems, Applications, and Services, Seoul, Korea.
PDF

[MobiSys โ€˜19] โ€œDissecting 802.11ac Performance - Why We Should Turn Off MU-MIMOโ€
Hyeonwoo Choi, Taesik Gong, Jaehun Kim, Jaemin Shin, and Sung-Ju Lee
ACM International Conference on Mobile Systems, Applications, and Services, Seoul, Korea.
PDF

[MobiSys โ€˜19] โ€œBringing Context into Emoji Recommendationsโ€
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, Seoul, Korea.
PDF


HONORS


Best Ph.D. Dissertation Award
College of Engineering, KAIST, 2023

Best Ph.D. Dissertation Award
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
Awarded to 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 (one for the Machine Learning category), 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


Program Committee

  • ACM SenSys โ€˜22 (Shadow Program Committee)


Reviewer

  • ACM IMWUT โ€˜20 โ€˜21 โ€˜22
  • ACM CHI โ€˜20 โ€˜21
  • IEEE Pervasive Computing โ€˜21
  • IEEE TMC โ€˜20 โ€˜22
  • ACM CHI โ€˜20 Case Studies
  • ACM TEI โ€˜20 Work-in-Progress
  • ACM CHI PLAY โ€˜19 Work-in-Progress

PATENTS


โ€œTime-aware Reinforcement-Learning Method for Geographic Ad Hoc Routing with Predefined Mobility and Computer Device for the sameโ€
Jaeha Ahn, Sung-Ju Lee, Taesik Gong, HyungJun Yoon, and Taeckyung Lee
Korea Patent; Filing date: 2022.11.11, No.10-2022-0150662

โ€œReinforcement Learning for Ad-hoc Routing Using Pre-defined Mobilityโ€
Sung-Ju Lee, Taesik Gong, HyungJun Yoon, Taeckyung Lee, and Jaeha Ahn
Korea Patent; Filing date: 2022.03.21, No.10-2022-0034824

โ€œMeta-Learning Based Federated Learning with Small Setโ€
Sung-Ju Lee, Jaewon Jung, Jaemin Shin, and Taesik Gong
Korea Patent; Filing date: 2021.12.13, No.10-2021-0177384

โ€œMethod and Apparatus for Mobile Sensing for Few-Shot Adapting to Untrained Conditionsโ€
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

โ€œMethod and Apparatus for Identifying Object Based on Knockโ€
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

โ€œActive Noise Control using Smart-phoneโ€
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

โ€œRecommendation System for Corresponding Messageโ€
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