Machine Intelligence and Information Theory Lab @ UNIST Graduate School of AI & Department of EE
How to apply to our Lab:
Step 1) Contact Prof. Yoon via email. Please include CV, your introduction (affiliation, year-in-school, and course grades), a description of your research interests, and positions to join (internship via U-SURF/U-WURF or MS, MS-PhD Combined, or PhD).
Step 2) Lab interview with an academic presentation (2-3 weeks for preparation will be given after the contact)
We strongly recommend that you apply for an internship before applying to graduate school.
[Jun. 2025] Our paper titled "Transmit What You Need: Task-Adaptive Semantic Communications for Visual Information," has been accepted to IEEE JSAC (IF=13.8, Top 1.7% SCIE Journal in Telecommunications) 🔥 (Congratulations! Jeonghun 🎉)
[Mar. 2025] Prof. Yoon has been promoted to Associate Professor
[Feb. 2025] Our ICLR paper titled "Flat Reward in Policy Parameter Space Implies Robust Reinforcement Learning" has been selected as Oral, which is Top 1.8% of all submissions 🔥 (Congratulations! Hyun Kyu 🎉)
[Jan. 2025] Our 2 papers titled "Flat Reward in Policy Parameter Space Implies Robust Reinforcement Learning" and "Can One Modality Model Synergize Training of Other Modality Models?" got accepted to ICLR 2025 🔥 (Congratulations! Hyun Kyu & Jae-Jun 🎉)
[Dec. 2024] Our member, Taehwan Lee (Ph.D. candidate) is nominated as the finalist of Qualcomm Innovation Fellowship Korea (QIFK) 2024 [link] (Congratulations! Taehwan 🎉)
[Sep. 2024] Our lab has been selected to be a recipient of the NRF individual research grant, "중견 연구."
[Aug. 2024] 2nd Korea-Japan Joint AI Workshop 참여 및 발표 진행