Suyeon Jeong, Minho Ka, Jeongbae Lee, Uimin Lee, Chaerin Jeong, Seoyun Choi. 2019. Design Of X-Band Synthetic Aperture Radar Based On Ultra-Small Satellite. 2019 Summer Conference on The Korean Institute of Electromagnetic Engineering and Science (KIEES), Jeju, South Korea.

Dec 2021 - Feb 2023: Follow-up Team Research of " Carousel Memory (CarM) " in OMNIA Laboratory at Ulsan National Institute of Science and Technology (UNIST), South Korea

Member: Suyeon Jeong, Xinyue Ma, Myeongjae Jeon, Di Wang, Minjia Zhang, Jonghyun Choi

Topic: Advanced development of Carousel Memory Architecture with multiple datasets & parameters analysis

Mar 2021 - Aug 2021: Corporate research project with Samsung in OMNIA Laboratory at Ulsan National Institute of Science and Technology (UNIST), South Korea

Member: Taeyoon Kim, Suyeon Jeong, Jongseop Lee, Soobee Lee, Myeongjae Jeon

Topic: Improvement and Enhancement of Distributed Scheduling Algorithm for AI Learning Tasks

Sep 2017 - Dec 2017: Management & Part 2 Presentation of 2017 Symposium of Talent for Convergence at Yonsei University, South Korea 

Host: School of Integrated Technology (Advisor: Prof. Gunhee Han)

Sponsor: Institute for Information & Communications Technology Promotion (IITP), Samsung, SK Telecom

Aug 2022 - Aug 2022: Poster Presentation of 2022 AI Graduate School Symposium, South Korea 

Topic: Carousel Memory (CarM) Architecture

Host: Ministry of Science and ICT

Sponsor: Artificial Intelligence Graduate School Council, Artificial Intelligence Innovation Hub, Institute of Information & Communications Technology Planning & Evaluation, LG

July 2022 - July 2022: Attendance at the 2022 USENIX Annual Technical Conference (ATC) for assistance with paper presentation

Aug 2021 - Dec 2021: Teaching Assistant, Artificial Intelligence at Ulsan National Institute of Science and Technology (UNIST), South Korea (Advisor: Assistant Prof. Namhoon Lee)

Detail: Undergraduate Course for Computer Science & Engineering major

Dec 2018 - Dec 2019: Internship in RADAR Laboratory at Yonsei University, South Korea (Advisor: Prof. Minho Ka)

Jul 2019 - Aug 2019: The 10th Korea-Russia Youth Dialogue, Seoul and Tongyeong, South Korea

Jul 2019 - Aug 2019: Seoultech Summer School Robot Camp at Seoul National University of Science and Technology, South Korea (Seoultech)

Jun 2018 - Aug 2018: Individual research at Yonsei University, South Korea (Advisor: Assistant Prof. Hyunjung Shim)

Topic: General Adversarial Network Learning and Application at the MNIST Database

Dec 2017 - Feb 2018: Individual research at Yonsei University, South Korea (Advisor: Assistant Prof. Songkuk Kim)

Topic: A Theoretical Analysis on the Conformity of U-net in the Study of Sectional Sections of C. elegans: Conformity for Biological Section Studies

• Andrew Chung, Jun Woo Park, and Gregory R. Ganger. 2018. Stratus: cost-aware container scheduling in the public cloud. In Proceedings of the ACM Symposium on Cloud Computing (SoCC '18). Association for Computing Machinery, New York, NY, USA, 121–134. [PPT]

• Esha Choukse, Michael B. Sullivan, Mike O'Connor, Mattan Erez, Jeff Pool, David Nellans, and Stephen W. Keckler. 2020. Buddy compression: enabling larger memory for deep learning and HPC workloads on GPUs. In Proceedings of the ACM/IEEE 47th Annual International Symposium on Computer Architecture (ISCA '20). IEEE Press, 926–939. [PPT 1, PPT 2]

• Zhao, Xia, Magnus Jahre, and Lieven Eeckhout. 2020. Selective Replication in Memory-Side GPU Caches. In 53rd Annual IEEE/ACM International Symposium on Microarchitecture (MICRO '20)  IEEE pp. 967-980. [PPT]

• Ren, J., Luo, J., Wu, K., Zhang, M., Jeon, H., & Li, D. (2021, February). Sentinel: Efficient tensor migration and allocation on heterogeneous memory systems for deep learning. In 2021 IEEE International Symposium on High-Performance Computer Architecture (HPCA) (pp. 598-611). IEEE. [PPT][Video]