Yoonseong Jeong
Senior Undergraduate Student
KAIST, School of Computing
About Me
My goal is to understand the essence of intelligence through mathematical and biological lenses.
Research Interests
- Generative Models: Discrete Diffusion Language Models (DLMs), Score-based Generative Models.
- Neuroscience & AGI: Bridging Brain Science (Neural Dynamics) and Artificial General Intelligence.
- Mathematical Foundations: Information Geometry, Sampling Theory (DPM-Solver).
Honors & Awards
- KAIST Dean's List Honors (2025 Spring & Fall, 2026 Spring)
Selected Publications
Research Experience
Algorithmic Intelligence Lab (ALIN Lab)
Advisor: Prof. Jinwoo Shin
Topic: On policy self-distillation for GUI Agent
Details: Investigating policy distillation and autonomous decision representations for interactive GUI agents.
Big Data Analytics and Learning Lab (BigDyL Lab)
Advisor: Prof. Noseong Park
Topic: Sampler Acceleration for Diffusion Language Models (DLMs)
Details: Designing high-order geometric and extrapolation sampling algorithms (e.g. Geodesic Momentum Sampling) for discrete diffusion language models.
Brain x Machine Intelligence Lab (BMI Lab)
Advisor: Prof. Sang Wan Lee
Topic: Decoding Cognitive States via Deep Neural Experimenter
Details: Visualized attention maps to analyze subject’s cognitive decoding process. Studied the dynamics of cognitive states under One-shot and Incremental learning conditions.
Tech Stack
Personal Preferences
I find inspiration in classical literature and philosophical discourse.
- Philosophy: Kant (Critique of Pure Reason), Nietzsche, Camus, Foucault.
- Literature: The Sorrows of Young Werther, The Stranger, Siddhartha, The Judgment, Status Anxiety.