Jingyu Lee

PhD Candidate

Seoul National University

Biography

Hi! I’m a Ph.D. student at the Human-Centered Computer Systems Lab under the supervision of professor Youngki Lee. I build a software platform for edge devices that enable real-time mixed reality applications for everyone.

I have previous research experiences in medical image processing and deep learning from my masters at Deep Learning and Image Processing Group in Computer Graphics and Image Processing Lab.

I was an enthusiastic game engine developer graduated from DigiPen Institute of Technology and worked for Minecraft: Education Edition at Microsoft Studios.

Interests

Mobile and Ubiquitous Computing
Edge Computing

Education

PhD in Computer Science and Engineering

Seoul National University
MS in Computer Science and Engineering, 2020

Seoul National University
BS in Computer Science in Real-Time Interactive Simulation, 2016

DigiPen Institute of Technology

Publications

Jingyu Lee, Hyunsoo Kim, Minjae Kim, Byung-Gon Chun, Youngki Lee (2024). Maestro: The Analysis-Simulation Integrated Framework for Mixed Reality. ACM International Conference on Mobile Systems, Applications, and Services (MobiSys).

Joo Seong Jeong, Jingyu Lee, Donghyun Kim, Changmin Jeon, Changjin Jeong, Youngki Lee, Byung-Gon Chun (2022). Band: Coordinated Multi-DNN Inference on Heterogeneous Mobile Processors. ACM International Conference on Mobile Systems, Applications, and Services (MobiSys).

PDF Code DOI

Jingyu Lee, Yunxin Liu, Youngki Lee (2021). ParallelFusion: Towards Maximum Utilization of Mobile GPU for DNN Inference. International Workshop on Embedded and Mobile Deep Learning (EMDL).

PDF DOI

Minyoung Chung, Jingyu Lee, Jeongjin Lee*, Yeong-Gil Shin (2021). Liver segmentation in abdominal CT images via auto-context neural network and self-supervised contour attention. Artificial Intelligence in Medicine.

Preprint PDF DOI

Minyoung Chung, Jingyu Lee, Wisoo Song, Youngchan Song, Il-Hyung Yang, Jeongjin Lee*, Yeong-Gil Shin (2020). Automatic Registration between Dental Cone-Beam CT and Scanned Surface via Deep-Pose Regression Neural Networks and Clustered Similarities. IEEE Transactions on Medical Imaging.

Preprint PDF DOI

See all publications

Experience

Research Intern

Microsoft Research Asia

December 2020 – May 2021 Beijing (Virtual)

Heterogeneous and Extreme Computing (HEX) group

Advisor: Yunxin Liu & Ting Cao

Software Engineer

Microsoft

September 2016 – May 2017 Redmond, Washington

Contracted software engineer in Minecraft: Education Edition team

Hour of Code - Minecraft Designer | Code.org

Implemented entity based game system on top of the existing code base as a sole programmer using JavaScript
Delivered eventbased API to give full control of the game to the command blocks in web-based code block editor

Minecraft: Education Edition & Minecraft: Pocket Edition

Develped and maintained Minecraft: Education & Minecraft: Pocket Edition
Developed companion applications (Classroom Mode & Code Connection)
Implemented Code Builder extensions on several visual programming platforms to connect them to Minecraft: Education Edition