Jung-Chun Liu ĺ厚ĺ
I am a first-year PhD student at UMich CSE advised by Joyce Chai. Before that, I was a visiting student at MIT Computational Cognitive Science Lab working with Jiayuan Mao and Joshua B. Tenenbaum.
jungchun[at]umich.edu
News
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Inspired by Jiayuan Mao, if you would like to chat about life, career plan, or research ideas related to AI/ML, feel free to email me. I am welcome for any discussion.
I encourage students from underrepresented groups to reach out and will prioritize these meetings.
I encourage students from underrepresented groups to reach out and will prioritize these meetings.
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This is my academic website. For personal website, please visit here.
Aug 2024
Starting my PhD journey at UMich.
Mar 2024
I am honored to receive Weinberg Institute for Cognitive Science Graduate Fellowship.
Mar 2024
Visiting at MIT from Mar to July 2024.
Jan 2024
Our paper Integrating Planning and Deep Reinforcement Learning via Automatic Induction of Task Substructures is accepted by ICLR 2024.
Research Highlight
My ultimate research goal is to explore how human and machine acquire and evolve compositional and genralizable concepts (e.g. interpretations, relations, rules, and strategies) through social and physical interaction in real world for reasoning and planning. The central theme of my research is to elucidate the nature of concepts with symbolic and natural language representations in intelligence. I harness them for human-like machine intelligence, where learning and reasoning are data-efficient and fast-adaptable.
Publications
Integrating Planning and Deep Reinforcement Learning via Automatic Induction of Task Substructures
Jung-Chun Liu,
Chi-Hsien Chang,
Shao-Hua Sun,
Tian-Li Yu
GenPlan Workshop @ NeurIPS 2023, ICLR 2024
GP with Ranging-Binding Technique for Symbolic Regression
Wen-Zhong Fang,
Chi-Hsien Chang,
Jung-Chun Liu,
Tian-Li Yu
GECCO Companion 2023
Multi-Robot Formation Control using Collective Behavior Model and Reinforcement Learning
Jung-Chun Liu,
Tsung-Te Liu
ISCAS 2022
Assessing Perceptual Load and Cognitive Load by Fixation-Related Information of Eye Movements
Jung-Chun Liu,
Kuei-An Li,
Su-Ling Yeh,
Shao-Yi Chien
Sensors 2022
Teaching
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Teaching Assistant, NTU EE1006: Cornerstone EECS Design and Implementation, Spring 2022 / Spring 2023
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Teaching Assistant, NTU EE1004: Computer Programming, Fall 2021
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Teaching Assistant, NTU EE4041: Digital System Design, Spring 2019
Professional Activity
Conference reviewer
ICLR, ACML