Members of Biointelligence Lab

Faculty & Staff

Ji-Hoon Lee (In vitro DNA hypernetworks for language learning)
Beom-Jin Lee (Teaching humanoid robots to generate human-like eye-movements and gestures)
Kyung-Wha Park (Human-like lifelong learning in wearable smart glasses)
Je-Hwan Ryu (Model based reinforcement learning)
Dong-Sig Han (Reinforcement learning theory & physics-inspired machine learning)
Seongho Choi (Deep story embedding using hierarchical memory networks)
Kibeom Kim (Perception-action cycle learning with deep neural networks for home robots)
Joonho Kim (Reinforcement learning and GAN)
Inwoo Hwang (Causal representation learning & Causal reinforcement learning)
Chang-Hoon Jeong (Learning based control)
Gi-Cheon Kang (Grounded language learning)
Woosuk Choi (Learning and reasoning for intersection of vision and language)
Junseok Park (Toddler-inspired reinforcement learning and visual dialog)
Hyundo Lee (Deep generative models for human-like generalization)
Youwon Jang (Question answering over external knowledge base)
Wonseok Choi (Deep generative model for predicting states of agent)
Hyunseo Kim (Self- supervised learning for multi-sensory inputs)
Jaein Kim (DNN-based Place Recognition for Multi-robot System)

Yoonsung Kim (Hierarchical reinforcement learning)
Youngjae Yoo (Deep learning-based anomaly detection using robot)
Minji Kim (Reinforcement learning & robot learning)
Hyeonji So (Story-Based Video Understanding)
Hyunseung Kong (Reinforcement learning for drug design)
Ganghun Lee (Deep reinforcement learning for vision & manipulation)
Nakwon Sung
Moonhoen Lee
Min Whoo Lee (Decision making under uncertainty in multi-agent control settings)
Junghyun Kim (Language Grounding for Human Robot Interaction)
Minjoon Jung (Multi-modal Pseudo-Query Generation for video story understanding)
Jesoon Kang (Learning hierarchical action schemas for solving general Pick-And-Place problems)
Yeonji Song (Deep Reinforcement Learning and Representation Leaning)
Seongjun Jeong
Heebin Yoo (Building distribution based semantic relational map with actively continual visual perception & Theory of vision-based deep representation learning)

This page is maintained by Yumi Yi (ymyi@bi.snu.ac.kr)
Last update: April 28, 2022