TAESIK GONG

Taesik Gong

Ph.D. Candidate @ KAIST
Research Interests: Machine Learning & Mobile Computing


I am a Ph.D. candidate from School of Computing at KAIST under the supervision of Prof. Sung-Ju Lee. My research has been supported by Google Ph.D. Fellowship. I was a research intern at Microsoft Research Asia and Nokia Bell Labs. Prior to KAIST, I recevied my B.S. in Computer Science from Yonsei University with Summa Cum Laude.



News

  • 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† Best Demo/Poster Award at ACM SIGCHI Local Chapter, KAIST
  • Feb. 2018 | ๐Ÿ† Best Demo/Poster Award at HCI@KAIST workshop โ€˜18


Education


Work Experience


PUBCLICATIONS


Preprints

[arXiv โ€˜21] 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 โ€˜21.
PDF Arxiv

Conferences and Journals

[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€˜21] 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.
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€˜19] 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 2019, 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. (Invited paper)
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 Paper Honorable Mention
ACM CHI 2022; for the top 5% of all submissions

Global Leadership Award
From the President of KAIST, 2021; awarded to one outstanding KAIST grad students in creativity

Google Ph.D. Fellowship
One of the two recipients from 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 outcome in KAIST CS Dept., 2018

Best Demo/Poster Award
ACM SIGCHI Local Chapter, KAIST, 2018

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

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


ACADEMIC SERVICES


Reviewer

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

PATENTS


โ€œReinforcement Learning for Ad-hoc Routing Using Pre-defined Mobilityโ€
Sung-Ju Lee, Taesik Gong, HyungJun Yoon, Taeckyung Lee, 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, Taesik Gong
Korea Patent; Filing date: 2021.12.13, No.10-2021-0177384

โ€œFew-shot Adaptation to Untrained Conditions in Mobile Sensingโ€
Sung-Ju Lee, Taesik Gong, Yeonsu Kim, Jinwoo Shin
Korea Patent; Filing date: 2019.12.24, No.10-2019-0173544

โ€œKnock-Based Object Recognition with a Smartphoneโ€
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

โ€œActive Noise Control using Smart-phoneโ€
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

โ€œRecommendation System for Corresponding Messageโ€
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


MEDIA


Research Videos

MyDJ

ACM CHI '22

MetaSense

ACM SenSys '19


Knocker

ACM IMWUT '19



Media Coverage

ARIRANG TV

Knocker | 2019.11.14

MBC

Knocker | 2019.10.01


Responsive image

KBS

Knocker | 2019.10.01

YTN

Knocker | 2019.10.01


TJB

Knocker | 2019.10.01



News Articles