I'm seeking wonderful career opportunities (internship and visiting) and/or colleagues who are passionate about exploring problem space of Neural Rendering and Implicit Neural Representation technologies and want to accelerate deep methods for mobile visual computing and AR/VR devices!

I'm Jaewon Choi, a Ph.D. student in School of Integrated Technology at Yonsei University. My research interests are Mobile VR/AR Systems, Neural Video Streaming, and Edge Computing. I received B.E degree in Software and Computer Engineering, B.S in Mathematics at Ajou University (double degree) in 2017, and Master in Engineering degree at Ajou University in 2020. Please check out the details here.

I'm working with Prof. JeongGil Ko, who is my advisor leading Embedded Intelligent Systems Laboratory at Yonsei University. If you want to contact our research group, don't hesitate to contact me or any member of us: https://www.eis-lab.org/members

Currently I'm working for Pervasive Systems Department at Nokia Bell Labs, Cambridge, UK as a Research Intern for this 2021 summer to work on a project related to edge AI accelerator (e.g., NVIDIA Jetson and/or Google TPU).

Please freely contact me by a email: jaewon-choi [a.t] yonsei.ac.kr.

2021.09

• I host virtual tea-time themed by "AI in Industry". Let me know if you're interested in!

2021.08

• I host virtual tea-time themed by "Computer Graphics & AI". Thank you for joining us and let me know if you're interested in!

• My contribution is committed for PyTorchKR (https://pytorch.kr), a Korean translation page of PyTorch documentation!

2021.06

• My research internship at Nokia Bell Labs, Cambridge, UK starts! How beautiful Cambridge is!

2021.05

• My CT-based liver surface nodularity work is published in Abdominal Radiology! (Co-first author)

2021.04

• I will serve as the board member for Neural Rendering Facebook group!

• I will go to UK to work for Nokia Bell Labs, Cambridge as a Research Intern this summer!

2021.01

• My work on exploiting 2K game video frames for supporting low-latency 4K-quality pervasive video streaming has been accepted to IEEE Pervasive Computing magazine Special Issue on Pervasive Video and Audio!

2020.08

• Our collaborative work with Prof. Seung Ah Chung (Ajou University Hospital) on designing a VR system for testing children with intermittent exotropia has been accepted to Eye!

2020.03

• I graduated with my master's degree from Ajou University, and joined Ph.D. program at School of Integrated Technology, Yonsei University!

• I will be joining Nokia Bell Labs, Cambridge for my summer internship!

• Site opened!

Mobile AR/VR and Video Streaming Systems

Jaewon Choi, JeongGil Ko*. "Low Quality for High Quality: Exploiting 2K Frames for Supporting Efficient 4K-Quality Pervasive Video Streaming Applications", IEEE Pervasive Computing, Special Issue on Pervasive Video and Audio. * Corresponding Author. (IF=4.41; JCR IF Top 25%)

Jaewon Choi, HyeonJung Park, Jeongyeup Paek, Rajesh Krishna Balan, JeongGil Ko. "LpGL: Low-power Graphics Library for Mobile AR Headsets", ACM MobiSys 2019. (Acceptance Rate: 22%; NRF CS-Area Top Conference)

Jaewon Choi, Hyeonjung Park, Jeongyeup Paek, Rajesh K. Balan, JeongGil Ko, "Demo: A Low-power Graphics Library for Mobile AR Headset Application Development", ACM HotMobile 2019, Santa Cruz, CA. (Best Demo Award)

Mobile systems for Medical Research

Hyo Jung Cho#, Jaewon Choi#, Bohyun Kim, JeongGil Ko, Joon-Il Choi, Jimi Huh, Jei Hee Lee, Jai Keun Kim. "Combining hepatic surface nodularity and serum tests better predicts hepatic fibrosis stages in chronic liver disease", Abdominal Radiology (Published Online). (IF=3.039) # Equally Contributing Co-first Authors

Seung Ah Chung, Jaewon Choi, Seungchan Jeong, JeongGil Ko. "Block-building Performance Test Using a Virtual Reality Head-mounted Display in Children with Intermittent Exotropia", Nature Eye, September 2020 (IF=2.366) (Published Online).

Jaeyeon Park, Woojin Nam, Tae Young Kim, Jaewon Choi, Sukhoon Lee, Dukyong Yoon, Jeongyeop Paek, JeongGil Ko. "Glasses For the Third Eye: Improving the Quality of Clinical Data Analysis with Motion Sensor-based Filtering", ACM SenSys 2017. (Acceptance Rate: 17%; NRF CS-Area Top Conference)