HI!🤚 This is
Eunju Yang

▪️ WORKING EXPERIENCE

• Samsung Research, Staff Software Engineer

  • 2024.01 ~ Current

  • NNTrainer [github]

  • AI Domain Specialist (Oct. 2024)

  • S/W Award, open source (Nov. 2024)

▪️ EDUCATIONS

• Ph. D. Candidate in Electrical Engineering, KAIST

  • 2018. 03 - 2023.08

  • Advisor: Prof. Chan-Hyun Youn

  • Research Assitant at Network and Computing Lab (NCL)

  • Research Interest: Test Time Adaptation, Distributed Deep Learning, Model Personalization, Generative Model

  • Thesis: A Study on Variational Inference-based Deep Learning Algorithms for Multi-Source Data with Dataset Shift

• M. S. in Electrical Engineering, KAIST

  • 2016.03 - 2018.02

  • Advisor: Prof. Chan-Hyun Youn

  • Research Assistant at Network and Computing Lab (NCL)

  • Thesis: A Batch Orchestration Algorithm for Straggler Mitigation of Synchronous SGD in Heterogeneous GPU Cluster

• B. S. in Electrical Engineering & Computer Science (Double Majors), Handong Global University (HGU)

  • 2012.03 - 2016.02

  • Research Assistant at Monolithic Microwave Integrated Circuit Laboratory (MMIC), 2014.06 ~ 2015.12

  • Graduation with Honor, Summa Cum Laude

▪️ PUBLICATIONS

: recent news:

• "Controllable Forgetting Mechanism for Few-Shot Class-Incremental Learning", is accepted to ICASSP 2025! [paper]

: Pre-print :

• K. Paramonov, M. Ozay, E. Yang, J. Moon, U. Michieli,  "Controllable Forgetting Mechanism for Few-Shot Class-Incremental Learning", [preprint] 

• Eunju Yang, Gyusang Cho, and Chan-Hyun Youn "FREEDOM: Label & Domain Information & Source-Free Multi-Source Domain Adaptation for Unsupervised Personalization"[preprint]

: Journal :

• Eunju Yang and Chan-Hyun Youn "Temporal Data Pooling with Meta-Initialization for Individual Short-Term Load Forecasting",in IEEE Transactions on Smart Grid  (IF: 10.275), vol. 14, no. 4, pp. 3246-3258, July 2023, doi: 10.1109/TSG.2022.3225805.

• Eunju Yang, Dong-Ki Kang, and Chan-Hyun Youn, "BOA: batch orchestration algorithm for straggler mitigation of distributed DL training in heterogeneous GPU cluster", The Journal of Supercomputing 2020 (IF: 2.600).

• Dong-Ki Kang, Eunju Yang, and Chan-Hyun Youn, "Deep learning-based sustainable data center energy cost minimization with temporal MACRO/MICRO scale management", IEEE Access 2018 (IF: 4.098).

•  Eunju Yang, Seonghyeon Kim, Chan-Hyun Youn "FPGA-Docker-based MEC Server Framework for Mobile Computing Service with Low-latency" Journal of The Korean Institute of Communication Sciences, Information and Communications Magazine, Vol. 35 No. 11 (2018).

• Eunyoung Oh, Duc Canh Le, Eunju Yang, Chan-Hyun Youn "vFPGA to Accelerate Edge Computing Application", Journal of The Korean Institute of Communication Sciences, Information and Communications Magazine Vol. 35 No. 11 (2018).

: Conference  / Workshop:

• Eunju Yang and Chan-Hyun Youn, "Individual Load Forecasting for Multi-Customers with Distribution-aware Temporal Pooling", proceed in IEEE International Conference on Computer Communications (INFOCOM) 2021, May, Virtual (acceptance rate: 19.9%) 📄 [slide]

•  Eunju Yang, Changha Lee, Ji-Hwan Kim, Tuan Manh Tao, and Chan-Hyun Youn “StreamDL: Deep Learning Serving Platform for AMI Stream Forecasting”  to appear in proceedings of IEEE International Conference on Data Mining (ICDM) Workshop 2020. 📄

• Sunghyun Kim, Eunju Yang, and Chan-Hyun Youn "An Accelerated Edge Computing with a Container and Its Orchestration" International Conference on ICT Convergence (ICTC) 2019 (Excellent Paper Award) 📄

• Changha Lee, Minsu Jeon, Eunju Yang, Seonghwan Kim, Chan-Hyun Youn “Imbalanced-Free Memory Selection Scheme Based Continual Learning by Using K-means Clustering” the 10th International Conference on Information and Communication Technology Convergence (ICTC’19).

• Eunju Yang, Seong-Hwan Kim, Tae-Woo Kim, Minsu Jeon, Sangdon Park, Chan-Hyun Youn "An adaptive batch-orchestration algorithm for the heterogeneous GPU cluster environment in distributed deep learning system" IEEE International Conference on Big Data and Smart Computing (BigComp 2018) 📄

• Taewoo Kim, Eunju Yang, Soyoon Bae, and Chan-Hyun Youn "IDLE: Integrated Deep Learning Engine with Adaptive Task Scheduling on Heterogeneous GPUs" IEEE Region 10 Conference (TENCON) 2018.

• Eunyoung Oh, Wan-Gyu Han, Eunju Yang, Jae-Ho Jeong, L. Lemi, Chan-Hyun Youn "Energy-Efficient Task Partitioning for CNN-based Object Detection in Heterogeneous Computing Environment" International Conference on ICT Convergence (ICTC) 2018.

• Minsu Jeon, Eunju Yang, Eunyoung Oh, Jeongkyu Park, and Chan-Hyun Youn "A Deterministic Feedback Model for Safe Driving based on Nonlinear Analysis Scheme", EUSPN workshop, Connected & Intelligent Mobility (CIM), 2017 📄

• Heejae Kim, Jiyong Han, Seong-Hwan Kim, Jisoo Choi, Dongsik Yoon, Minsu Jeon, Eunjoo Yang, Nhat Pham, Sungpil Woo, Jeongkyu Park, Daeyoung Kim, Chan-Hyun Youn, "IsV2C: an integrated road traffic-network-cloud simulator for V2C connected car services" IEEE International Conference on Services Computing (SCC) 2017 📄

▪️ HONORS & AWARDS

: FELLOWSHIPS & SCHOLARSHIPS :

• 03.2019 - 02. 2022: Global Ph. D. Fellowship Program from National Research Foundation of Korea

• 05.2019 - 12.2019: Dong-Hwa AI Scholarship from Dong-Hwa Industry Scholarship Foundation

• 03.2016 - 02. 2022: Government Scholarship for M.S./Ph.D. Students from Korea Government

• 03.2014 - 02. 2016: National Science & Technology Scholarship from Korea Student Aid Foundation

• 03.2012 - 02. 2016: Merit-Based Scholarship (Top 1%) from Handong Global University (HGU)

• 03.2012 - 02. 2016: Undergraduate Full Scholarship from Samsung Scholarship Foundation

: Awards :

• 10. 2019: Excellent Paper Award from International Conference on ICT Convergence, 2019.

• 12. 2020: Best Paper Honorable Mention from Coursework Workshop, Advanced Deep Learning Course (AI602, KAIST)

▪️ RESEARCH PROJECTS

• 07.2022 - present: AI Model Development for Egg Data Processing 

• 03.2021 - present: Core Technology Development for Intelligent Searching and Utilizing Big Data based on DataMap funded by IITP, Korea

• 10.2019 - 02. 2021: An eXplainable AI (XAI)-based smart energy platform development funded by KEPCO

•  03.2018 - 12.2019: Developing a Kubernetes-based MEC framework  funded by IITP, Korea

• 06.2018 - 11.2018: Study on Unsupervised Learning & Self Adaptive Model  funded by ETRI, Korea

• 03.2017 - 02.2018: Demand forecasting algorithm development and factor analysis  funded by Hyundai Motor Company

• 06.2016 - 12.2017: A distributed deep learning framework development funded by IITP, Korea

• 03.2016 - 02.2017: Vehicle-to-Cloud simulator development  funded by Hyundai Motor Company

▪️ TEACHING EXPERIENCES & REVIEWER SERVICES

: Teaching experiences :

• Fall 2019, Teaching Assistant, Service-Oriented Computing (EE614)

• Spring 2019, Teaching Assistant, Distributed Computing System (EE613)

• Fall 2018, Teaching Assistant, Introduction to Optimization (EE424)

• Spring 2018, Teaching Assistant, GPU Programming and Application (EE817)

• Fall, 2015, Teaching Assistant, Electronic Circuit 2 (ECE30052)

• Spring, 2015, Teaching Assistant, Signal and System (ECE30081)

• Spring, 2015, Teaching Assistant, Basic Circuit Lab (ECE20060)

: Reviewer services :

• IEEE Transactions on Vehicular Technology

• IEEE Transactions on Smart Grid

• IEEE Transactions on Network Science and Engineering

• IEEE Transactions on Industrial Informatics

• The Journal of Supercomputing

• IEEE International Conference on Data Mining Workshop