Hi! I am SangYeong Jo who is interested in artificial intelligence, data engineering, data analysis, and research.

I am an artificial intelligence researcher and engineer.

If you want to contact me, please leave me a message!

Mail: jsy7057@gmail.com, jsy7058@unist.ac.kr

LinkedIn: https://www.linkedin.com/in/sangyeongjo/

• Master of Science in Artificial Intelligence

  • Ulsan National Institute of Science & Technology (UNIST)
  • GPA: 3.73 / 4.3
  • 03/2021 - 02/2023

• Bachelor of Engineering in Computer Engineering

  • Kumoh National Institute of Technology (KIT)
  • GPA: 4.26 / 4.5
  • 03/2014 - 02/2020

• Korea Institute of Science and Technology (KIST)

  • Intern Researcher
  • 05/2020 - 09/2020

• Interactive Lab in Kumoh National Institute of Technology (KIT)

  • Student Intern
  • 06/2017 - 02/2020

• A.I. FrameWorks
  • Tensorflow, Pytorch, Python, Numpy, CUDA
• BigData
  • Apache Spark, Apache Hadoop, MongoDB, MySQL, Pandas
• Topic
  • Computer Vision (Classification, Object detection, Semantic Segmentation)
  • Domain Generalization (or Domain Adaptation)
  • Optimization
  • Meta-Learning (Few-shot learning, MAML, ProtoNet)
  • 3D Vision (3D Points, NeRF)
  • Generative Model (GAN, Diffusion Network)
  • Transformer

• Programming Languages
  • Python, C, C++, C#, Java, Javascript, PHP, Matlab
• Web
  • HTML, XML, Django Web framework, Vue.js, Flask Framework, REST API, Bootstrap
• Mobile Application
  • Android studio, Flutter
• Operating System
  • Windows, Linux
• Communication
  • Github, Docker

1. Domain Generalization (Mar/2021 - Present)

   • A unique algorithm that extracts domain-invariant representation
   • Skills: Pytorch, Numpy, Python, Research, Computer Vision, Generalization, Linux, Github, Docker
   • Git Link
   • Paper Link (In press)

2. Causal Effect Anlysis (Mar/2021 - Present)

   • Causal Effect between a pair of signals
   • Skills: Python, Pytorch, Cross Convergent Mapping, Data Analysis, Signal Processing

3. Manufacturing error simulator (Oct/2021 - Dec/2021)

   • MLP and Simulation Programming
   • Skills: Python, Pandas, Numpy, Communication, Linux, Data Analysis

4. 3D web viewer of Connection of Synapse (May/2020 - Sep/2020)

   • 3D Visualization Web Application
   • Skills: Python, Opensource, REST API, 3D Vision, Github

5. Predicting visual memorability from EEG signal (Nov/2018 - Feb/2020)

   • Brain Wave Pattern Classification
   • Skills: Python, Pytorch, Braindecode, Machine Learning, Deep Learning, Matlab

6. Maintenance system for bicycle road (Apr/2019 - Jun/2019)

   • Realtime Web/Mobile system with object detection model
   • Skills: Flutter, Django, Google Maps, YOLO, Object Detection, Data Preprocessing, Pytorch
   • Github

7. Generating and recommending fashion item

   • Generating Fashion Item and Recommendation System
   • Skills: DiscoGAN, MySQL, Web Crawling, Python, Pytorch, Image preprocessing
   • Github

8. Patient care system using IoT sensor

   • Monitoring System using camera, IoT devices, and wearable devices
   • Skills: IoT Device, Django, Node.js, Javascript, Python, ARTIK, 3D Printing
   • Github
   • Youtube

1. Citation Prize from Member of the National Assembly (2020)

   • Citation Prize

2. Undergraduate Academic Competition from The Korean Institute of Information Technology

   • Second Prize

3. The 2nd IoT Innovation Challenge competition (2017)

   • Special Prize

4. Korea Software Congress 2017 (2017)

   • Second Prize

1. MDPI Sensors (Basel)
   • Jo SY, Jeong JW. Prediction of Visual Memorability with EEG Signals: A Comparative Study. Sensors (Basel).
   • Link

1. The 37th AAAI conference on Artificial Intelligence

   • Sang-Yeong Jo and Sung Whan Yoon, "POEM: Polarization of Embeddings for Domain-Invariant Representations," In press.

2. 2020 8th International Winter Conference on Brain-Computer Interface (BCI)

   • S. Jo and J. Jeong, "Prediction of Visual Memorability with EEG Signals using Deep Neural Networks," 2020 8th International Winter Conference on Brain-Computer Interface (BCI).
   • Link

3. 2019 IEEE International Conference on Big Data and Smart Computing (BigComp)

   • SangYeong. Jo, SunHye. Jang, HeeEun. Cho and JinWoo. Jeong, "Scenery-Based Fashion Recommendation with Cross-Domain Geneartive Adverserial Networks," IEEE International Conference on Big Data and Smart Computing (BigComp).
   • Link

1. Journal of Korea Institute of Information, Electronics, and Communication Technology
   • Sang-Young Jo and Jin-Woo Jeong. (2018, October), Design and Implementation of Hospital Room Management System Based on IoT CareBots, Journal of Korea Institute of Information, Electronics, and Communication Technology, 11(4), 370-378.
   • Link

1. Proceedings of KIISE Conference 2019
   • SangYeong. Jo, JinHyeok Hyeon, TaeSan Kim, Junha Hwang, "A Maintenance System for Bicycle Road Using YOLO", Proceedings of the Korean Institute of Information Scientists and Engineers conference, 2019. 6.
   • Link
2. Proceedings of KIIT Conference 2018
   • Sang-Yeong Jo, Hee-Eun Cho, Sun-Hye Jang, Jin-Woo Jeong, Generation of Nail Art Designs using DiscoGAN, Proceedings of KIIT Conference , 2018.6, 230-232(3 pages).
   • Link
3. Korea Software Congress 2017
   • Jun-Su Kim, Seung-Min Baek, Sang-Young Jo, Jin-Woo Jeong, Patient and Hospital Room Care System using ARTIK Cloud and IoT Sensors, Proceedings of the Korean Institute of Information Scientists and Engineers conference, 11(4), 370-378.
   • Link

1. UNIST: Core AI Labs Seminar

   • SWAD: Domain Generalzation By Seeking Flat Minima
     • Paper Link
     • Youtube Link
     • Page Link
   • Pro-tuning: Unified Prompt Tuing for Vision Tasks
     • Paper Link
     • Youtube Link
     • Page Link

2. The 2-th UNIST Novatus Academia

   • Site Link
   • Teaching Assistant (TA)
     • Convolutional Neural Network (CNN)

3. LG electronics DX Intensive Course (15/Sep/2021)

   • Teaching Assistant (TA)
     • Convolutional Neural Network (CNN)

4. A.I. 4.0 Studio Mentoring Program

   • 1-th Program, and 2-th Program
   • May/2021 - Nov/2021, May/2022 - Nov/2022
   • Mentor
   • News Link
   • Youtube Link