We are looking for motivated interns, M.S. & Ph.D. students!

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 and test 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.

News 

• [Nov. 2025] Our paper titled "A Flat Minima Perspective on Understanding Augmentations and Model Robustness," got accepted to AAAI 2026 🔥 (Congratulations! Weebum 🎉)

• [Oct. 2025] Our member, Hyun Kyu Lee (Ph.D. candidate) is nominated as the finalist of Qualcomm Innovation Fellowship Korea (QIFK) 2025 (Congratulations! Hyun Kyu 🎉 Good luck for the final presentation)

• Prof. Yoon participates in the "AI Star Fellowship Program (UNIST)" as the Project Leader of PROJECT 3 (among three core projects in the program).

• [Jul. 2025] Our paper titled "Benchmarking Federated Learning for Semantic Datasets: Federated Scene Graph Generation," got accepted to Pattern Recognition Letters 🔥 (Congratulations! SeungBum & Taehwan 🎉)

• [Jun. 2025] Our paper titled "Understanding Flatness in Generative Models: Its Role and Benefits," got accepted to ICCV 2025 🔥 (Congratulations! Taehwan 🎉)

• [Jun. 2025] Our paper titled "Transmit What You Need: Task-Adaptive Semantic Communications for Visual Information," got accepted to IEEE JSAC (IF=17.2, 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 🎉)