Curriculum Vitae

• Daejeon, Republic of Korea
• Contact | jeonghwan518@kaist.ac.kr
• Google Scholar | GitHub

(Lastly updated on Mar 24, 2025)

Education

• M.S | August 2023 ~ Present
• Korea Advanced Institute of Science and Technology (KAIST)
• Brain and Cognitive Sciences

• B.S | Feb 2019 ~ August 2023
• Korea Advanced Institute of Science and Technology (KAIST)
• Bio and Brain Engineering
• Magna Cumme Laude, Excellence in Leadership and Volunteering

• High School | Mar 2016 ~ Feb 2019
• Daegu Il Science High School

Publications

• Initial sensory degradation for learning debiased representation (2025)
• Jeonghwan Cheon, Se-Bum Paik.
• In preparation
• Project page

• Pretraining with random noise for uncertainty calibration (2024)
• Jeonghwan Cheon, Se-Bum Paik.
• arXiv 2412.17411
• Project page Preprint Code

• Pretraining with random noise for fast and robust learning without weight transport (2024)
• Jeonghwan Cheon, Sang Wan Lee, Se-Bum Paik.
• Advances in Neural Information Processing Systems 37 (NeurIPS 2024)
• Project page Paper Code

• Spontaneous Emergence of Periodotopic Map through Neuronal Interference in Auditory Cortex (2024)
• Jeonghwan Cheon, Se-Bum Paik.
• Cognitive Computational Neuroscience
• Project page Proceeding

• Invariance of object detection in untrained deep neural networks (2022)
• Jeonghwan Cheon*, Seungdae Baek*, Se-Bum Paik (* Equally contributed).
• Frontiers in Computational Neuroscience 16
• Project page Paper Code

International Conferences

* Presentation as first author

• • Vision Science Society (VSS), May 2025, St. Pete Beach, Florida, US.
  • Jeonghwan Cheon, Se-Bum Paik.
  • ”Training with degraded data for debiased representation in neural networks”
• • Computational and Systems Neuroscience (COSYNE), Mar 2025, Montreal, QC, CN.
  • Jeonghwan Cheon, Se-Bum Paik.
  • ”Uncertainty Calibration through Pretraining with Random Noise”
• • Neural Information Processing Systems (NeurIPS), Dec 2024, Vancouver, BC, CN.
  • Jeonghwan Cheon, Sang Wan Lee, Se-Bum Paik.
  • ”Pretraining with random noise for fast and robust learning without weight transport”
• • Korean Society for Brain and Neural Sciences (KSBNS), Oct 2024, Gyeongju, KR.
  • Jeonghwan Cheon, Se-Bum Paik.
  • ”Emergence of functional circuits from neuronal interference in auditory cortex”
• • Society for Neuroscience (SfN), Oct 2024, Chicago, IL, US.
  • Jeonghwan Cheon, Se-Bum Paik.
  • ”Emergence of functional maps from neuronal interference in auditory cortex”
• • CSHL Meeting—from Neuroscience to Artificially Intelligent Systems (NAISys), Sep 2024, Cold Spring Harbor, NY, US.
  • Jeonghwan Cheon, Sang Wan Lee, Se-Bum Paik.
  • “Random noise enables reliable learning without weight transport”
• • Cognitive Computational Neuroscience (CCN), Aug 2024, Boston, MA, US.
  • Jeonghwan Cheon, Se-Bum Paik.
  • "Spontaneous emergence of periodotopic map through neuronal interference in auditory cortex"

Honors and Awards

• • Travel Grant ($1250, COSYNE, 2025)
• • Travel Grant ($200, CSHL Meeting — NAISys, 2024)
• • Presidental Science Scholarship for Graduate Students (Korea gov., 2024~2025)
  • Granted KRW 18 million annually, 50 master's students selected in a year
• • KAIST CoE Leadership Award (Research Excellence, 2023)
• • KAIST Undergraduate Research Participant (URP) Program 3rd Prize (2022)
• • Presidential Science Scholarship (Korea gov., 2019~2022)
  • Granted KRW 12 million annually, 137 undergraduate students selected in a year

Research Experience

• KAIST Cognitive Intelligence Laboratory, Graduate Researcher (2023~Present)
• KAIST Visual System and Neural Network Laboratory, Undergraduate Researcher (2022)
• KAIST Bioinformatics and Computational Biology Laboratory, Research Intern (2021)