Taesik Gong (Preferred)
Taesik Gong
Assistant Professor, Ulsan National Institute of Science and Technology
Joined
April 2022
Names
Emails
****@kaist.ac.kr (Confirmed)
****@nokia.com (Confirmed)
****@nokia-bell-labs.com (Confirmed)
****@unist.ac.kr (Confirmed)
Personal Links
Career & Education History
Assistant Professor
Ulsan National Institute of Science and Technology (unist.ac.kr)
2024 – Present
Visiting Scholar
University of Cambridge (cam.ac.uk)
2024 – 2024
Researcher
Bell Labs (bell-labs.com)
2023 – 2024
Postdoc
Korea Advanced Institute of Science & Technology (kaist.ac.kr)
2023 – 2023
PhD student
Korea Advanced Institute of Science & Technology (kaist.ac.kr)
2017 – 2023
MS student
Korea Advanced Institute of Science & Technology (kaist.ac.kr)
2016 – 2017
Undergrad student
Yonsei University (yonsei.ac.kr)
2012 – 2016
Advisors, Relations & Conflicts
Expertise
VLM
, LLM
, SLM
, RAG
, Mobile AI
, AI Agent
2024 – Present
Deep learning
, domain adaptation
, test-time adaptation
, continual learning
, online learning
, meta-learning
, robustness
, time-series data
, self-supervised learning
, on-device ml
, on-device ai
, microcontroller
, accelerator
2017 – Present
Publications
Co-Authors
- Adiba Orzikulova
- Ahin Lee
- Ahreum Seo
- Akhil Mathur
- Alberto Gil C. P. Ramos
- Andrea Bianchi
- Arsha Nagrani
- Biniyam Aschalew Tolera
- Bogoan Kim
- Bowon Lee
- Brendan Jou
- Brian Eoff
- Canh Hoang Nguyen
- Changmin Lee
- Chulhong Min
- Diana A. Vasile
- Dong Min Kim
- Dong-Sig Kang
- Donghwi Kim
- Eunsu Baek
- Evey Huang
- Fahim Kawsar
- Gaole Dai
- Gyeongseon Eo
- Hojun Lee