Minchan Kim
“I’m looking for Ph.D. positions for Fall 2026.”
Hi there, I’m Minchan 👋
I’m an undergraduate at Seoul National University, majoring in Computer Science. I’m currently working in SNU Vision & Learning Lab, advised by Prof. Gunhee Kim. I’ve also had the opportunity to collaborate on research projects with Prof. Yejin Choi at Stanford and Prof. Niloofar Mireshghallah, Prof. Akari Asai, and Prof. Graham Neubig at CMU.
My research focus lies in the intersection of machine learning, databases, and cryptography: machine learning (privacy-preserving machine learning, long-term memory systems, generalist imitation agents), databases (vector databases, approximate nearest neighbor, multimodal data compression), cryptography (homomorphic encryption, multi-party computation, private information retrieval)
My vision is to develop a secure long-term memory system inspired by the human hippocampus—one that continuously collects, stores, and utilizes an individual’s lifetime of action data. Through this work, I aim to create a generalist imitation agent that shares your memories and acts on your intent. To achieve this, the system must (i) seamlessly capture everything you see and hear, (ii) securely store your memories, and (iii) think, speak, and act like you.
If you share these interests or would like to explore potential collaborations, please feel free to reach out!
News
| Jun 30, 2025 | Our paper PPMI got accepted to Crypto 2025 Workshop! |
|---|---|
| Jan 28, 2025 | Our paper CANVAS got accepted to ICRA 2025! |
| Dec 15, 2024 | Our paper CANVAS won the Outstanding Paper Award at NeurIPS 2024 Workshop! |
| Sep 30, 2024 | Our paper CUPID got accepted to ICDM 2024 Workshop! |
| Jul 01, 2024 | Our paper ESREAL got accepted to ECCV 2024! |
Publications
MIP-Bench: Can LLMs Implicitly Personalize Answers for Different Users by Implicitly Leveraging Long-Term Memory?Under Review