Minjae Kim

TL;DR: a Ph.D. student who is interested in deep learning system optimization for mobile devices.

I am a Ph.D. student in the Department of Computer Science and Engineering at Seoul National University. I received a master’s degree in computer science from SNU and my bachelor’s degree in computer science from POSTECH.

I am currently in Human-centered Computer Systems Lab (advised by Prof. Youngki Lee), was in Software Platform Lab (advised by Prof. Byung-Gon Chun), and worked as an undergraduate research intern at Computing Systems Lab (advised by Prof. Hyojin Sung).

Now, I am interested in accelerating computation-heavy systems with software optimization for heterogeneous mobile devices. Currently, my main focus is on deep learning, but I don’t limit my interest to it. I firmly believe that cross-domain optimization from silicon to human is essential for deep learning (or any other areas) to penetrate our daily lives.

Publications

  • Dongho Han, Jingyu Lee, Minjae Kim, Youngki Lee, XRMan: Towards Real-time Hand-Object Pose Tracking in eXtended Reality, The 30th Annual International Conference On Mobile Computing And Networking (MobiCom ‘24 Posters) (To appear)
  • Hyungkyu Ham*, Hyunuk Cho*, Minjae Kim, Jueon Park, Jeongmin Hong, Hyojin Sung, Eunhyeok Park, Euicheol Lim, Gwangsun Kim, Non-Invasive, Memory Access-Triggered Near-Data Processing for DNN Training Acceleration on GPUs, IEEE Access [*: Equal contribution], Sep 24. (Link)
  • Jingyu Lee, Hyunsoo Kim, Minjae Kim, Byung-Gon Chun, Youngki Lee. Maestro: The Analysis-Simulation Integrated Framework for Mixed Reality, The 22nd ACM International Conference on Mobile Systems, Applications, and Services (MobiSys ‘24) (Link)
  • Seonjun Kim, Minjae Kim, Youngki Lee, A Joint Analysis of Input Resolution and Quantization Precision in Deep Learning, Proceedings of the 29th Annual International Conference on Mobile Computing and Networking (MobiCom ‘23 Posters) (Link)
  • Hyungkyu Ham*, Hyunuk Cho*, Minjae Kim, Jueon Park, Jeongmin Hong, Hyojin Sung, Eunhyeok Park, Euicheol Lim, Gwangsun Kim. Near-Data Processing in Memory Expander for DNN Acceleration on GPUs, IEEE Computer Architecture Letters (CAL) [*: Equal contribution], Nov 21. (Link)

Experiences

  • Machine Learning Engineer @ Team ISLAND, Aug 2020 ~ Sep 2020
    Worked on building a lightweight 3D pose estimation model via knowledge distillation. To distill the knowledge from the regression-based teacher model, conducted label smoothing based on a Gaussian filter to the output of the teacher model and jointly trained the student model with both the teacher model and the ground truth.
  • Software Engineer (Outsourced work) @ Richbeam, May 2020 ~ July 2020
    Migrated the complex backend system consisting of Flask, Tornado, and gRPC servers, which was already deployed on the private on-premise server, to the AWS Cloud with load balancing techniques.
  • Software Engineer (Full-time) @ Cryptoquant, Sep 2019 ~ Mar 2020
    Worked on the whole infrastructure used for on-chain analysis and data provisioning. The system involves PostgreSQL, Flask, Redis, and MongoDB. 99.997% of the availability was achieved in the designed system, which is crucial in the financial field. Also, participated in an anti-money laundering system, which helped to solve the biggest sexual abuse “N-th room” in Korea.
  • CTO & Co-Founder @ DSigner, Sep 2018 ~ Sep 2019
    Developed a font navigation system to help designers explore the proper font in a lot of typography. Auto-encoder-based embedding was engineered with the expert knowledge of typeface. Also, worked on backend servers using Flask, MySQL, and MongoDB. Interviewed in YC 2020 Spring Batch.
  • Research Intern @ HodooAI, Apr 2018 ~ Aug 2018
    Researched transferring makeup between non-labeled face images. By matching the corresponding regions with local embeddings and applying the color transfer techniques on those matches, successfully transferred makeup without any guidance from humans.
  • Software Engineer Intern @ byclip, Jun 2017 ~ Aug 2017
    Developed a chatbot management system with MongoDB and Express and an interactive item-based recommender system for restaurants.

Others

I was a finalist at the International Science and Engineering Fair sponsored by Intel (Intel ISEF 2015).

I deejay house music, especially for deep house and tech house.