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 

• [Sep. 2026] One workshop paper titled "Geometry-Aware Quantum Error Mitigation via Quantum State Matrix Approximation" got accepted to NeurIPS 2026 Workshop 🔥 (Prof. Yoon collaborated with AIM Lab led by Prof. Joongheon Kim)

• [Sep. 2026] One paper titled "Towards Better Generalization in Lifelong Person Re-Identification with Flatness-Aware Learning" got accepted to NeurIPS 2026 🔥 (Prof. Yoon collaborated with UNIST VIP Lab led by Prof. Jae-Young Sim)

• [Aug. 2026] One paper titled "Strong Lottery Ticket Hypothesis for Quantum Neural Networks" got accepted to CIKM 2026 🔥 (Congratulations! HongKyun and Hyun Kyu 🎉; collaborated with AIM Lab led by Prof. Joongheon Kim at Korea University)

• [Jun. 2026] One paper titled "FeDepth: Federated Learning for Depth Estimation under Robot Heterogeneity" got accepted to ECCV 2026 🔥 (Prof. Yoon collaborated with UNIST 3D Vision & Robotics Lab led by Prof. Kyungdon Joo)

• [Jun. 2026] Dohyun has successfully defended his Ph.D. thesis. Congratulations, Dr. Kwun! A great milestone 🎓👏

• Prof. Yoon is serving as Area Chair in the NeurIPS 2026 Evaluations and Datasets Track. 

• Hyun Kyu now leaves for an internship at Qualcomm AI Research Korea, Deep Learning R&D for Autonomous Driving (from Jun. to Oct.).

• Jae-Jun now leaves for an internship at the Machine Learning Group at TU-Berlin 🇩🇪, led by Prof. Klaus-Robert Müller (from Jun. to Aug.).

• Taehwan, Jae-Jun, and Prof. Yoon are selected as Gold Reviewers🏅 of ICML 2026 Great dedication! 👏

• Three papers got accepted to ICML 2026 🔥

• [May 2026] One paper titled "Quantum Robust Inner Minimization for Reinforcement Learning with Quadratic Speed-Up in Query Complexity" got accepted to ICML 2026 🔥 (Congratulations! Hyun Kyu 🎉; collaborated with AIM Lab led by Prof. Joongheon Kim at Korea University)

• [May 2026] One paper titled "Unlearning's Blind Spots: Over-Unlearning and Prototypical Relearning Attack" got accepted to ICML 2026 🔥 (Congratulations! SeungBum 🎉; collaborated with UNIST Safe AI Lab led by Prof. Saerom Park)

• [May 2026] One paper titled "Understanding Multimodal Learning: A Loss Landscape Smoothness Perspective" got accepted to ICML 2026 🔥 (Congratulations! Jae-Jun 🎉)

• [Apr. 2026] One paper titled "Achievable Rate Analysis for Structure-Aware Interference Channels," got accepted to IEEE Communications Letters 🔥 (Congratulations! Dohyun 🎉)

• [Apr. 2026] Prof. Yoon is awarded a Ministry of Science and ICT Commendation (과학기술정보통신부 장관 표창) 🎖️

• [Feb. 2026] One paper titled "Pose-guided Enriched Feature Learning for Federated-by-camera Person Re-indentification," got accepted to CVPR 2026 🔥 (Prof. Yoon collaborated with UNIST VIP Lab led by Prof. Jae-Young Sim)

• [Feb. 2026] Our Lab and UNIST Safe AI Lab (led by Prof. Saerom Park) won the 2nd place of IEEE SaTML 2026 Competition Anti-BAD: An Anti-Backdoor Challenge for Post-Trained Large Language Models 🏆 (Congratulations! SeungBum 🎉) [link]

• [Dec. 2025] Our member, Hyun Kyu Lee, is awarded as the Winner of Qualcomm Innovation Fellowship Korea (QIFK) 2025 🏆 (Congratulations! Hyun Kyu 🎉 among the qualified 30 finalists, awarded as 15 winners)

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