Sungmin Cha (차성민), Ph.D.

Hi, I am Sungmin Cha who is working as a Faculty Fellow at NYU, under the supervision of Prof. Kyunghyun Cho. My research have focused on developing adaptive AI agents that can learn and evolve efficiently. I’m particularly passionate about Continual Learning—designing cost-efficient algorithms that enable neural networks to learn sequentially without forgetting, much like how humans acquire knowledge over time. Along the way, I’ve also explored Machine Unlearning, Watermarking for AI Safety, and Large Language Models (LLMs), always seeking new challenges and insights at the intersection of adaptive and trustworthy AI.

Previously, I earned my Ph.D. in Electrical and Computer Engineering from Seoul National University (SNU) under the supervision of Prof. Taesup Moon. I also obtained my Master's and Bachelor's degrees in Information and Communication Engineering and Computer Engineering from DGIST and Pukyong National University, respectively. During my Ph.D. studies, I had the opportunity to work as a visiting researcher at Harvard University, as well as a research scientist intern at both NAVER AI and LG AI Research. Additionally, I have been honored with several awards, including the Qualcomm Innovation Fellowship Korea (2021), the Yulchon AI START Fellowship (2022), the Distinguished Doctoral Dissertation Award from the Department of ECE at SNU (2023), and the Best Dissertation Award from the S-OIL Foundation and the Korean Academy of Science and Technology (2024), among others.

Academic Services

• Conference Area Chair
  : Continual FoMo Workshop (2024 - present)

• Conference Reviewer
  : NeurIPS (2020 - present), CVPR (2021 - present), CoLLAs (2023 - present), ACL (2024 - present), ICLR (2024 - present),
  CVPR CLVISION (2021 - present), U&Me Workshop (2024 - present), ICML (2021), ICCV (2021), ECCV (2022), CVPR NTIRE (2020)

• Journal Reviewer
  : TPAMI (2022 - present)

Invited Presentation

2024.12 : Oral presentation at SeoulTech, Seoul National Univ., Sogang Univ., Hanyang Univ., and Korea Univ.

2024.09 : Oral presentation, CAU-Core AI Tech Seminar

2024.05 : Oral presentation, Techart Conference 2024, CAU

2024.01 : Oral presentation, Doctoral Consortium, WACV 2024

2023.09 : Oral presentation, CILVR Seminar, New York University

2022.08 : Oral presentation, SNU AI Summer School 2022, Seoul National University

2022.08 : Oral presentation, KAIA2022, Jaejoo Ireland

2022.07 : Oral presentation, HY-Vision Lab, Hanyang University

2021.11 : Oral presentation, Qualcomm Innovation Fellowship Korea (QIFK) 2021

2021.11 : Poster presentation, AIIS 2021 Fall Retreat

2021.11 : Oral presentation, Open Seminar at LG AI Research

2021.04 : Poster presentation, AIIS 2021 Spring Retreat

2021.07 : Oral presentation, CKAIA 2021

2020.11 : Oral presentation, JKAIA 2021

2020.11 : Oral presentation, Qualcomm Innovation Fellowship Korea (QIFK) 2020

2019.10 : Poster presentation, Samsung AI Forum 2019

2018.10 : Poster presentation, DGIF 2018

Mentoring Experiences (while pursuing Ph.D.)

• Sunghwan Joo (PhD student at M.IN.D Lab, SKKU)

• Donggyu Lee (PhD student at M.IN.D Lab, SKKU)

• Hongjoon Ahn (MS student at M.IN.D Lab, SKKU => PhD student at M.IN.D Lab, SNU)

• Taeeon Park (MS student at M.IN.D Lab, SKKU => PhD student at M.IN.D Lab, SNU)

• Jaeseok Byun (MS student at M.IN.D Lab, SKKU => PhD student at M.IN.D Lab, SNU)

• Taebaek Hwang (BS student at SKKU => Currently at Dealicious)

• Saehwan Kim (BS student at SNU)

• Hyungseo Ahn (BS student at SNU)

• Soonwon Hong (BS student at SNU)

• Heewoong Choi (BS student at SNU => PhD student at M.IN.D Lab, SNU)

• Youngin Kim (BS student at SNU)

• Dongwook Lee (BS student at SNU)

• Jihwan Kwak (PhD student at M.IN.D Lab, SNU)

Previous News

[2024. 05. 01] One paper was accepted to ICML 2024!

[2024. 04. 26] Two papers were accepted to CoLLAs 2024!

[2024. 03. 29] One paper was accepted to Workshop on Continual Learning (CLVision), CVPR 2024!

[2023. 12. 09] One paper was accepted to AAAI 2024!

[2023. 11. 11] The application of the WACV 2024 Doctoral Consortium was accepted!

[2023. 10. 24] One paper was accepted to WACV 2024!

[2023. 09. 28] I gave an invited talk at CILVR seminar, New York University.

[2023. 09. 01] I started a new chapter as an Assistant Professor/Faculty Fellow in the Computer Science department at the Courant Institute of Mathematical Sciences, New York University, working with Prof. Kyunghyun Cho!

[2023. 07. 31] I won the Distinguished Ph.D. Dissertation Award from the Department of Electrical and Computer Engineering, SNU.[2023. 06. 29] I successfully completed my Ph.D. defense!

[2023. 05. 02] One paper was accepted to ACL 2023!

[2023. 02. 28] One paper was accepted to CVPR 2023!

[2023. 01. 30] One paper was accepted to IEEE Access!

[2022. 08. 07] I gave a poster presentation for one paper at KCCV 2022, Coex

[2022. 08. 03] I gave an invited talk for one paper at SNU AI Summer School 2022, Seoul National University.

[2022. 08. 02] I gave an invited talk for one paper at KAIA2022, Jaejoo Ireland.

[2022. 07. 13] I received Youlchon AI STAR Fellowship.

[2022. 07. 08] I gave an invited talk for Continual Learning at HY-Vision Lab, Hanyang University.

[2022. 04. 15] I gave a poster presentation for one paper at AIIS 2022 Spring Retreat and received second prize in the best presentation award!

[2022. 04. 12] One paper was accepted to Workshop on Continual Learning in Computer Vision at CVPR 2022.

[2022. 01. 27] One paper got an award (Future Gauss Lecturer) from Gauss Labs!

[2021. 12. 01] I started a research internship at LG AI Research (advisor: Moontae Lee).

[2021. 11. 22] Two papers won Qualcomm Innovation Fellowship Korea (QIFK) 2021 and I am nominated as the best voter! [article]

[2021. 11. 19] I gave a poster presentation for one paper at AIIS 2021 Fall Retreat and received first prize in the best presentation award!

[2021. 11. 04] One paper got first prize in the best paper award of JKAIA 2021.

[2021. 11. 04] I gave an invited talk at the open seminar of LG AI Research.

[2021. 09. 29] One paper was accepted to NeurIPS 2021.

[2021. 07. 21] One paper was accepted to International Workshop on Continual Semi-Supervised Learning at IJCAI 2021.

[2021. 07. 09] One paper got best paper award from KOMIPO at CKAIA 2021.

[2021. 06. 22] One paper was accepted to Adversarial Machine Learning Workshop at ICML 2021.

[2021. 04. 30] My three papers are presented at AIIS 2021 Spring Retreat and one paper won the best presentation award (third award).

[2021. 04. 01] One paper was accepted to Synthetic Data Generation Workshop at ICLR 2021.

[2021. 03. 02] I transferred my PhD course to Seoul National University by following my advisor.

[2021. 03. 01] One paper was accepted to CVPR 2021 as oral presentation.

[2021. 01. 13] Two papers were accepted to ICLR 2021.

[2020. 12. 16] One paper got the best paper award from Microsoft Research at JKAIA 2020. [article]

[2020. 12. 11] One paper got the best paper award at Qualcomm Innovation Fellowship Korea 2020.

[2020. 11. 30] I started a research internship at NAVER AI Lab (advisor: YoungJoon Yoo).

[2020. 10. 24] One paper was accepted to NeurIPS 2020 Deep Inverse Workshop as oral presentation.

[2020. 09. 26] One paper was accepted to NeurIPS 2020.

[2020. 06. 25] One paper was accepted to 4th Lifelong Learning Workshop at ICML 2020.

[2020. 04. 14] One paper was accepted to the CVPR 2020 Workshop on Continual Learning!

[2020. 03. 18] One paper was published in Nature Protocols (IF=11.334).

[2020. 02. 17] I got the winner of the First Prize in the award of the Superior Research from SKKU ICC.

[2020. 02. 03] I started to work as a visiting scholar at Harvard SEAS (Advisor : Prof. Flavio Calmon).

[2019. 11. 05] I gave a poster presentation at Samsung AI Forum 2019 and I got the Frist Prize as the best poster presentation.

[2019. 09. 03] One paper was accepted to NeurIPS 2019.

[2019. 07. 23] One paper was accepted to ICCV 2019.

[2018. 11. 01] One paper was accepted to AAAI 2019 as an oral presentation.

[2018. 02. 15] One paper was accepted to ICASSP 2018.