CV

Curriculum Vitae of Junyoung Kim.

Contact Information

Name Junyoung Kim
Professional Title Ph.D. Student, Graduate School of Artificial Intelligence, POSTECH
Email junyoungkim@postech.ac.kr
Location Pohang, Republic of Korea

Research Interests

I am interested in developing recommendation systems that not only capture but actively elicit users’ latent intentions throughout their interaction history. My research focuses on leveraging multimodal signals to more clearly reveal and represent these hidden preferences, ultimately enabling more accurate and explainable recommender models. In parallel, I also work on multimodal retrieval, aiming to represent the intrinsic characteristics of each modality and align them effectively so that a user’s query can be matched with the most relevant document.

Education

  • 2024 -

    Pohang, Korea

    M.S./Ph.D. in Artificial Intelligence
    Pohang University of Science and Technology (POSTECH)
    Graduate School of Artificial Intelligence
  • 2020 - 2024

    Seoul, Korea

    B.S. in Computer Science & Engineering
    Sogang University
    Computer Science & Engineering

Publications

  1. Personalized Federated Recommendation via Long-Horizon Local Optimization and Regularized Knowledge Guidance

    Jaehyung Lim, Wonbin Kweon, Woojoo Kim, Junyoung Kim, Dongha Kim, Hwanjo Yu
    Journal of Intelligent Information Systems (JIIS) 2026

  2. From Overlooked to Explored: Recovering Item Relations via Mixture of Perspectives for Sequential Recommendation

    Junyoung Kim, Wonbin Kweon, Woojoo Kim, Jaehyung Lim, Dongha Kim, Hwanjo Yu
    CIKM 2026

  3. TRACER: Balancing Stability-Plasticity-Cognitivity Trilemma for LLM Enhanced Continual Recommendation

    Woojoo Kim, Hyunsik Yoo, Junyoung Kim, Jaehyung Lim, Seongku Kang*, Hwanjo Yu*
    CIKM 2026

  4. GOD: Enhancing Generalization via Deep Grafting for Sequential Recommendation

    Woojoo Kim, Junyoung Kim, Jaehyung Lim, Hwanjo Yu
    CIKM 2026

  5. FLAME: Condensing Ensemble Diversity into a Single Network for Efficient Sequential Recommendation

    Woojoo Kim, Junyoung Kim, Jaehyung Lim, Seongjin Choi, Seongku Kang*, Hwanjo Yu*
    SIGIR 2026

  6. VLM2Rec: Resolving Modality Collapse in Vision-Language Model Embedders for Multimodal Sequential Recommendation

    Junyoung Kim, Woojoo Kim, Wonbin Kweon, Jaehyung Lim, Dongha Kim, Hwanjo Yu
    arXiv preprint 2026

  7. Federated Continual Recommendation

    Jaehyung Lim, Wonbin Kweon, Woojoo Kim, Junyoung Kim, Seongjin Choi, Dongha Kim, Hwanjo Yu
    CIKM 2025

  8. Personalized Federated Recommendation With Knowledge Guidance

    Jaehyung Lim, Wonbin Kweon, Woojoo Kim, Junyoung Kim, Dongha Kim, Hwanjo Yu
    arXiv preprint 2025

  9. Crafting Query-Aware Selective Attention for Single Image Super-Resolution

    Junyoung Kim, Youngrok Kim, Siyeol Jung, Donghyun Min
    arXiv preprint 2025

Experience

  • 2024 - 2024

    Bundang, Korea

    Intern, Query-Rewrite Team
    Naver
  • 2024 - 2024

    Coach, Boostcourse Coaching Study (Generative AI)
    ModuLABS | Naver Connect

Awards

  • 2023
    Excellence Award, Naver Capstone Design Competition
  • 2023
    Excellence Award, Sogang Convergence Competition
  • 2023
    Special Award, Sogang Convergence Competition

Fellowships

  • Excellence Graduate Scholarship, POSTECH (2024)

Professional Services

Program Committee (PC) Member: ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2026

Languages

Korean : Native
English : Fluent

Skills

Programming: Python, C++