Jung-Chun Liu ĺ厚ĺ
Jung-Chun Liu is first-year PhD student at UMich CSE advised by Joyce Chai. She was a visiting student at MIT Computational Cognitive Science Lab working with Jiayuan Mao.
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 26th
Starting my PhD journey at UMich.
Mar 26th
I am honored to receive Weinberg Institute for Cognitive Science Graduate Fellowship.
Mar 18th
Visiting at MIT from Mar to July 2024.
Jan 15th
Our paper Integrating Planning and Deep Reinforcement Learning via Automatic Induction of Task Substructures is accepted by ICLR 2024.
Research Highlight
My curiosity centers on social and physical reasoning, and how human solve problems with these abilities in the real world. I also interseted in developing dual process theory and neuro-symbolic system in both machine and human mind. Currently, I focus on human manipulation strategies in physical domain. In previous work, I used evolutionary algorithm to solve symbolic regression problems.
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