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Jeonghoon Park

M.S.-Ph.D. StudentUNIST

$ about

I am an M.S.-Ph.D. student in Computer Science and Engineering at Ulsan National Institute of Science and Technology (UNIST). At the Ubiquitous AI Lab, I am advised by Prof. Taesik Gong.

$ research interests

As AI models become more capable, their computational demands also grow. My research in Efficient AI focuses on reducing memory usage and inference latency. Building on this, I study On-device AI to address the challenges of running these models within the resource constraints of users' own devices. I also work on Personalized AI, adapting general-purpose models to individual needs and preferences.

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Jeonghoon Park playing guitar

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Started UNIST’s integrated M.S.-Ph.D. program under Prof. Taesik Gong at UAI Lab.

Graduated magna cum laude with a B.S. in CSE from UNIST, one semester early (7 semesters).

Attended ICML 2026 (Jul 7–9) in Korea, my first opportunity to experience an academic conference.

Experience

Ubiquitous AI Lab

Ubiquitous AI Lab – Ulsan, Republic of Korea

Graduate Student Researcher

2026.09 – Present

2026.09 – Present

  • Advisor: Prof. Taesik Gong
  • Research on on-device and efficient AI systems

Undergraduate Research Intern

2025.01 – 2026.08

2025.01 – 2026.08

  • Advisor: Prof. Taesik Gong
  • Research on efficient VLMs and agentic systems
Topmath

Topmath – Incheon, Republic of Korea

Mathematics Instructor

2021.07 – 2024.07

2021.07 – 2024.07

  • Taught and managed math classes for middle and high school students.

Education

UNIST

UNIST – Ulsan, Republic of Korea

Integrated M.S.-Ph.D. in Computer Science & EngineeringIntegrated M.S.-Ph.D. in CSE

2026.09 – Present

2026.09 – Present

  • Government Scholarship (Full Tuition Waiver)

B.S. in Computer Science & EngineeringB.S. in CSE

2020.03 – 2026.08

2020.03 – 2026.08

  • Full-tuition scholarship for all semesters (~US$20K total)
  • Graduated one semester early

Publications

*:Co-primary authors; †:Co-corresponding authors

  • SharpDraft: Accelerating Long-Context Speculative Decoding with Cardinality-Aware Query Scaling
    2026.10

    Jeonghoon Park*, Seongwoon Jo*, Jongwon Lee*, Taesik Gong

    Under review at a top-tier conference

  • Global-Local Synergy for Efficient Visual Grounding in GUI Agents
    2026.01

    Jeonghoon Park, Mingyu Kim, Hojun Lee, Taesik Gong

    Under review at a top-tier conference

Awards & Honors

  • Magna Cum Laude
    2026.08
    Graduated magna cum laude with a B.S. in Computer Science and Engineering from UNIST
  • Academic Excellence Award
    2026.08
    Recognized for a semester GPA of at least 4.0 out of 4.3
  • Academic Excellence Award
    2025.08
    Recognized for a semester GPA of at least 4.0 out of 4.3
  • Academic Excellence Award
    2024.12
    Recognized for a semester GPA of at least 4.0 out of 4.3

Patents

  • Method for grounding GUI based on Vision-Language Model

    Taesik Gong, Jeonghoon Park, Mingyu Kim, Hojun Lee

    Korean Patent Application No. 10-2026-0180383

Teaching

  • NOVA 508: On-Device AI for Smart Manufacturing TA
    2026.09 – 2026.12
  • Ulsan AI Novatus Academia (9th) PBL TA
    2026.09 – 2026.11
  • Hyundai Heavy Industries AI Novatus Academia (1st) Theory Education TA
    2026.08
  • Ulsan AI Novatus Academia (9th) Theory Education TA
    2026.08
  • Busan AI Novatus Academia (1st) Theory Education TA
    2026.07
  • Gyeongnam AI Novatus Academia (7th) Theory Education TA
    2026.06
  • LG Electronics Living DX Course Theory Education
    2026.01
  • Gyeongnam AI Novatus Academia (6th) PBL TA
    2025.06 – 2025.09
  • Ulsan AI Novatus Academia (8th) Theory Education TA
    2025.07
  • LG Electronics Living DX Course Theory Education TA
    2025.07
  • Gyeongnam AI Novatus Academia (6th) Theory Education TA
    2025.05
  • LG Electronics Living DX Course PBL TA
    2025.02 – 2025.03
  • LG Electronics Living DX Course Theory Education TA
    2025.01

Explore

  • SharpDraft: Accelerating Long-Context Speculative Decoding with Cardinality-Aware Query Scaling
    2026.10

    Jeonghoon Park*, Seongwoon Jo*, Jongwon Lee*, Taesik Gong

    Under review at a top-tier conference