I am a second-year PhD student at UMich CSE Situated Language and Embodied Dialogue (SLED) lab advised by Joyce Chai. Before that, I was a visiting student at MIT Computational Cognitive Science Lab working with Jiayuan Mao.
jungchun[at]umich[dot]edu
My research explores how human and machine develop the ability to interact, solve problems, and adapt to novel environments, centering on concept learning and representation: How do concepts emerge and evolve regardless of their origin (i.e., neural architectures or neural-symbolic models)? How do agents acquire and leverage them for reasoning and problem solving?
I aim to build machines capable of compositional, generalizable concept learning from few-shot examples and efficient, adaptive inference at test time. I also investigate the unified space of cognition, and the fundamental differences between humans and machines in representation and processing.
Jung-Chun Liu,
Chi-Hsien Chang,
Shao-Hua Sun,
Tian-Li Yu
ICLR 2024, GenPlan Workshop @ NeurIPS 2023
Wen-Zhong Fang,
Chi-Hsien Chang,
Jung-Chun Liu,
Tian-Li Yu
GECCO Companion 2023
Jung-Chun Liu,
Tsung-Te Liu
ISCAS 2022
Jung-Chun Liu,
Kuei-An Li,
Su-Ling Yeh,
Shao-Yi Chien
Sensors 2022
This is my academic page, following the convention to keep things professional. Visit here to learn more about me.