Taesik Gong

Taesik Gong

Ph.D. Candidate @ KAIST NMSL

Research Interests: Mobile ML&AI and Ubiquitous Sensing


Education
Work Experience
Publications

Peer-reviewed Conferences and Journals

“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 (ACM TSC)

“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 2019 (IEEE ICMLA ‘19), Boca Raton, Florida, USA.
(Acceptance Rate: 28%; 108/375)

“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 2019 (ACM SenSys ‘19), New York, NY, USA.
(Acceptance Rate: 19%; 28/144)

Project Page Video

“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 (ACM UbiComp ‘19), London, UK.
Project Page 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.


Invited Papers and Extended Abstracts

“Identifying Everyday Objects with a Smartphone Knock”
Taesik Gong, Hyunsung Cho, Bowon Lee, and Sung-Ju Lee
ACM CHI Conference on Human Factors in Computing Systems (ACM CHI EA ‘19), Montreal, Canada (Late-Breaking Work).
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 ‘17), Vancouver, Canada.


Posters 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 (ACM MobiSys ‘19), Seoul, Korea.
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 (ACM MobiSys ‘19), Seoul, Korea.

“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 (ACM MobiSys ‘19), Seoul, Korea.

“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 (ACM MobiSys ‘19), Seoul, Korea.

Awards

Best Video Award
“Real-Time Object Identification with a Smartphone Knock”, ACM MobiSys 2019

NAVER Ph.D. Fellowship
Awarded $5,000, 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

Patents

“Knock-Based Object Recognition with a Smartphone”
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