Join

Welcome! If you’re interested in our lab, please read below and apply through this form (Click).

• What I do: [Poster] [Video]
• Latest Research Highlights: Take a look!

• Right now, we are seeking collaborators with strong publication records (such as ICML, NeurIPS, ICLR, AAAI) to work with us in tackling visual abductive reasoning and creative math problems. We have a particular focus on reinforcement learning, neuro-symbolic program synthesis, and Human-AI alignment. This is an opportunity to work alongside passionate, capable students in our group. Please contact me through the form above.

Undergraduate Students

We are looking for motivated undergraduate students who have abundant intellectual curiosity, a solid foundation in mathematics and computer science, and enjoy implementing ideas. In our lab, you will implement various concepts, host events, and write documents to scale up our projects and teams. While working with us, you can conduct Undergraduate Thesis I and II (3 credits each) or apply for the G-SURF program. We also welcome students with strong development skills who are interested in UX/UI design.

• General tips: Take as many math courses as well as CS/EE/AI courses as possible; this will enable you to investigate a wider range of topics. Don’t be afraid to implement your ideas. If you are interested in our research, familiarizing yourself with this Kaggle competition would be helpful.

• For International students: Thank you for your interest in our lab. GIST offers an exchange program for regular semesters and a Global Internship Program (GIP) for summer vacations. You can apply for these programs by including my name in your application. The GIP program facilitates an 8-week visit to GIST over the summer, with the application period beginning in February. For more information, please visit this website: https://ipa.gist.ac.kr/

Graduate Students

For International Students:

As a faculty member in GIST AI, I have a few slots available to host MS/PhD students each year. You must first gain admission to the department to be eligible to join our lab.

• I only accept PhD students with prior research experience working with me or having strong publication records relevant to the field of our interest.
• In GIST AI, a MS program is research-oriented. All students are expected to join a research group and write a thesis.

Please check the links below periodically for information such as official application periods and required documents:

• Call For International MS/PhD Applicants: [Link] [Apply]
• Call For Korean MS/PhD Applicants: [Link]

Due to the large number of requests, I may not be able to respond to all emails. After submitting your official application, please send your CV through this form so that I can track your interest. Please note that I only write recommendation letters for students I have worked with, so be sure to obtain recommendations from your current mentors.

For Korean Students:

Lab Interview Process

In addition to the official department admission procedures, we conduct our own lab-specific interview process. This helps us better understand potential lab members and ensure a good fit. Our process consists of a one-hour interview with the applicant and current lab members.

During this interview, I generally ask the following questions:

• How would you describe yourself?
• Can you tell us about your project/research experience?
• What potential research ideas would you like to explore? (It would be great if you could align your ideas with our previous works)
• How do you think you can contribute to our lab?
• What are your career plans after completing your MS/PhD degree?

Previous Projects

Listed below are some projects I worked with (undergraduate) students. See my publication list for a complete list.

At GIST

• Footage from IJCAI-24 [News]
• Multiple-choice analogy benchmark [Page]
• Evaluating reasoning capabilities of LLMs [Paper]
• Seven papers at Korea Software Congress 2023 [News]
• Gym environment for RL training on ARC [GitHub]
• Game with Abstraction and Reasoning Corpus [O2ARC 3.0]
• Mimicking Human Solutions with Object-Centric Decision Transformer [ICMLW’23]
• Abstraction and Reasoning Challenge with Decision Transformer [KCC’23]
• Object Detection on ARC Problem Using Graph Abstraction [KCC’23]
• Engineering Prompts for the ARC Challenge [KCC’23]

Before GIST

• Playgrounds for Abstraction and Reasoning [NeurIPSW’22] [KSC’22] [Poster] [Happy ARC Day]
• 2022 Summer Intern’s talk [Subin-5min] [Prin-5min] [Shiekh-5min]
• Classification of Goods Using Text Descriptions With Sentences Retrieval [TIST]
• Customs Fraud Detection in the Presence of Concept Drift [ICDMW’21] [Video]
• Response to COVID-19 with Probabilistic Programming [Frontiers in Public Health’22] [GitHub]
• Hyperbolic Interaction Model for Category Classification in E-Commerce [KSC’21] [Video]
• Active Learning for Custom Fraud Detection [TKDE’22]
• Hierarchical POI Embedding with Heterogeneous Information [Slides] [GitHub]
• Customer Revisit Prediction using Macroscale Mobility [KSC’19] [URP Report]