KyoungJun Park

Ph.D. Candidate at UT Austin

I am a Ph.D. candidate in Computer Science at UT Austin, advised by Prof. Lili Qiu. I work on multimodal generative models and efficient LLM inference. I have interned at Meta, Amazon, and Microsoft Research Asia.

I expect to defend and graduate in December 2026, and I am actively seeking full-time research scientist and research engineer positions.

Portrait of Kyoungjun Park

SELECTED NEWS

  • Aug 2026: Extended my Meta internship part-time through the fall semester (until December 2026).
  • Summer 2026: Joined the Meta Gen AI team as a Software Engineer Intern, fine-tuning an LLM planner for Facebook Groups.
  • Jun 3-7, 2026: Presented Diffusion2 at CVPR Findings 2026 in Denver, Colorado, USA.
  • May 17-21, 2026: Presented our LEO satellite video streaming work at IEEE INFOCOM 2026 in Tokyo, Japan.
  • Apr 23-27, 2026: Presented VidGuard-R1 at ICLR 2026 in Rio de Janeiro, Brazil.

RESEARCH

My work builds multimodal generative models that perceive and reason over audio, radio frequency, and video signals, and makes them efficient enough to deploy under real compute, bandwidth, and energy budgets. Representative topics:

  • Token efficiency in audio LLMs (in submission)
  • Multimodal diffusion models with visual and physical signals (CVPR Findings '26, one paper in submission)
  • AI-generated video detection and reasoning-based MLLMs (ICLR '26)
  • Video streaming in LEO satellite networks (INFOCOM '26)
  • Resource-efficient mobile and adaptive video systems (CoNEXT '24, TMC '22, INFOCOM '19)

Publications

Acceptance rates are shown for conference papers where available. Full list on Google Scholar.

  • Conference Papers
  • Diffusion2: Turning 3D Environments into Radio Frequency Heatmaps
    Kyoungjun Park, Yifan Yang, Changhan Ge, Lili Qiu, Shiqi Jiang
  • VidGuard-R1: AI-Generated Video Detection and Explanation via Reasoning MLLMs and RL
    Kyoungjun Park, Yifan Yang, Juheon Yi, Shicheng Zheng, Muhammad Muaz, Yifei Shen, Dongqi Han, Caihua Shan, Lili Qiu
  • Joint Optimization of Handoff and Video Rate in LEO Satellite Networks
    Kyoungjun Park, Zhiyuan He, Cheng Luo, Yi Xu, Lili Qiu, Changhan Ge, Muhammad Muaz
  • Real-Time Neural Video Recovery and Enhancement on Mobile Devices
    Zhaoyuan He, Yifan Yang, Lili Qiu, Kyoungjun Park, Yuqing Yang
  • EVSO: Environment-aware Video Streaming Optimization of Power Consumption
    Kyoungjun Park, Myungchul Kim
  • Journal Articles
  • NeuSaver: Neural Adaptive Power Consumption Optimization for Mobile Video Streaming
    Kyoungjun Park, Myungchul Kim, Laihyuk Park
  • Energy-Efficient Mobile Charging for Wireless Power Transfer in Internet of Things Networks
    Woongsoo Na, Junho Park, Cheol Lee, Kyoungjun Park, Joongheon Kim, Sungrae Cho
  • Under Review
  • Importance-Aware Audio Token Compression in Frozen Audio LLMs
    Kyoungjun Park, Lili Qiu
    In submission Preprint coming soon
  • World Models with Signals: Video Generation Conditioned on Wi-Fi, Radar, and Lidar
    Kyoungjun Park, Shicheng Zheng, Yifan Yang, Junbo Li, Lili Qiu
    In submission to AAAI Preprint coming soon [project]
  • Towards Practical Pain Monitoring: Ear-EEG with Foundation Models and Adaptive Inference
    Muhammad Muaz, Yinan Zhu, Hyeongheon Cha, Haochen Zhao, Taeckyung Lee, Archit Patil, Kyoungjun Park, Taiting Lu, Gaoteng Zhao, Zilong Wang, Sung-Ju Lee, Lili Qiu
    In submission Preprint coming soon
  • MERGED: Multimodal Entity Resolution via Generated Expert Reasoning Distillation
    You-Lin Chen, Kyoungjun Park, Prithviraj Sen, Bin Xu, Abhishek Prasad Ram Tripathi, Pedro Herrero-Vidal
    In submission Preprint coming soon

EDUCATION

  • Ph.D. in Computer Science — UT Austin Jun. 2022 – Dec. 2026 (expected)
    Advised by Prof. Lili Qiu
  • M.S. in Computer Science — KAIST Mar. 2017 – Feb. 2019
    Advised by Prof. Myungchul Kim
  • B.S. in Computer Science and Engineering — Chung-Ang University Mar. 2013 – Feb. 2017
    Advised by Prof. Sungrae Cho

EXPERIENCE

  • Research Internships
  • Meta — Software Engineer Intern, Gen AI Jun. 2026 – Dec. 2026
    Menlo Park, CA · with Lanyi Wang and Michael Cheng
    Fine-tuning an LLM planner for Facebook Groups. Extended part-time through the fall semester.
  • Amazon — Applied Scientist Intern Sep. 2025 – Dec. 2025
    Seattle, WA · with Pedro Herrero-Vidal, You-Lin Chen, and Bin Xu
    Fine-tuned a lightweight multimodal LLM to automate product matching across large-scale catalogs.
  • Microsoft Research Asia — Research Intern Jul. 2022 – Aug. 2022
    Shanghai, China · with Cheng Luo, Zhiyuan He, and Lili Qiu
    Video streaming over low Earth orbit satellite networks.
  • Industry
  • TmaxData — Research Engineer & Team Leader Feb. 2019 – Jun. 2022
    Seongnam, South Korea · Team Leader from Jun. 2021 · Technical Research Personnel (alternative military service)
    Researched automation of exploratory data analysis.

TEACHING

Graduate Teaching Assistant for 8 courses across UT Austin and KAIST.

  • UT Austin
  • CS329EMobile Computing Spring 2025
  • CS356Computer Networks Fall 2024
  • CS303EElements of Computers and Programming Spring 2024
  • CS378Introduction to Human-Computer Interaction Fall 2023
  • CS331Algorithms and Complexity Spring 2023
  • CS371MMobile Computing Fall 2022
  • KAIST
  • CS360Introduction to Database Spring 2018
  • CS408Computer Science Project Fall 2017

AWARDS & HONORS

  • Best Research Award, Tmax Group — 1st place among first-year engineers Jan. 2020
  • Outstanding Thesis Award, KAIST School of Computing Feb. 2019
  • The DLive Scholarship — $3K travel support for IEEE INFOCOM presentation Jan. 2019
  • Qualcomm–KAIST Innovation Award — $5K research grant Sep. 2018
  • Summa Cum Laude — B.S. graduation honor, Chung-Ang University Feb. 2017
  • Chung-Ang University Scholarship — Merit-based, 7 semesters Sep. 2013 – Feb. 2017

SERVICE

  • Reviewing
  • NeurIPS — Reviewer 2026
  • International Journal of Computer Vision (IJCV) — Reviewer 2026
  • Department
  • Graduate Admissions Student Committee, UT Austin Fall 2026