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Research Interests

Topics I keep returning to across current projects, papers, and experiments.

Human-Robot Alignment

Learning from Human Demonstrations, Vision-Language-Action model

Human robot alignment interest image

I keep studying how human demonstrations, language, and perception can be aligned into robot policies.

  • Shared Latent Representation
  • Imitation Learning
  • Motion Retargeting

Generative Models

Learning to generate novel data while preserving task-relevant semantics

Representation learning interest image

I am participating in research utilizing diffusion models, which can be described as physics-informed techniques for nonequilibrium stochastic dynamical systems.

  • Counterfactual Image Generation
  • Diffusion Model

Domain Adaptation

Cross-domain adaptation between heterogeneous visual spaces

Domain transfer interest image

I am interested in how representations move across domains without losing task-relevant semantics.

  • Cross-domain Contrastive Learning
  • Adversarial Learning

Analogical reasoning

Nature-inspired technology

Analogical reasoning

I enjoy experimenting with applying methodologies used in one task or domain to other areas.

  • Humanoid Robot
  • Physics-based Reinforcement Learning
  • Neural Cellular Diffusion
  • Fashioneering
Featured

Selected main projects and representative work.

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Improving tumor segmentation performance of MedCLIP-SAM framework using DPO

Enhanced the tumor segmentation performance of the MedCLIP-SAM framework by integrating DPO-based optimization with diffusion-driven counterfactual image generation.

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Constructed EgoVLA training data incorporating physical constraints

Developed an end-to-end pipeline to construct physically constrained EgoVLA training data represented through MANO hand meshes.

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[Seminar] The fun of finding commonalities with EgoVLA and EgoBridge

A seminar session that introduces EgoVLA and EgoBridge through the lens of shared ideas and representation learning.

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Research on Improving SAR–Optical Fusion Based on Shi et al. (2024)

Experiment with DHN-NCE loss function to improve hard negative discrimination

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Eco-friendly font generation model for minority languages

A generative design project exploring efficient font creation for minority languages with environmental awareness.

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AI-Based Menu Demand Prediction for Restaurants (LG Aimers)

A demand forecasting project for restaurant menus using operational data and machine learning modeling.

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GDGoC (Google Developer Groups on Campus) | AI/ML General Member

Community activity around AI/ML study, technical sessions, and collaborative growth through GDGoC.

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OSSCA (Open Source Contribution Academy) | Mentee

Participated in the Korean translation of the PyTorch documentation and translated the Knowledge Distillation Tutorial document.

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SOPT, Student Union IT Startup Club | Swift Developer

Development and deployment of Softie, a routine recommendation application for mental health improvement.

Still trying animation
... Still Trying

Experiments under active iteration, experimentation, and repeated attempts.

Others

External activities, communities, and small projects.