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Byung-Jun Yoon

Texas A&M University - Department of Electrical and Computer Engineering

United States

  • Texas A&M University - Department of Electrical and Computer Engineering

SCHOLARLY PAPERS

4

DOWNLOADS

168

TOTAL CITATIONS

1

Scholarly Papers (4)

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1.

Comparison of Global and United States Social Determinants in COVID-19 Vaccination Rates

Number of pages: 13 Posted: 28 Mar 2022
Paul Chong, Byung-Jun Yoon, Debbie Lai, Jarone Lee and Shuhan He
Campbell University, Texas A&M University - Department of Electrical and Computer Engineering, Act Now Coalition, Harvard University - Massachusetts General Hospital and Harvard University - Massachusetts General Hospital
Downloads 73 (852,604)

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Covid-19, COVID-19 vaccination, Pearson correlation

2.

AI-Driven Battery-Free Dual-Channel Wireless Optogenetics for High-Throughput Automation of Behavioral Analysis

Number of pages: 26 Posted: 31 Jan 2022
Woo Seok Kim, Jianfeng Liu, Qinbo Li, Sungcheol Hong, Kezhuo Qi, Rahul Cherukuri, Byung-Jun Yoon, Justin Moscarello, Yoonsuck Choe, Stephen Maren and Sung Il Park
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Texas A&M University - Department of Electrical and Computer Engineering, affiliation not provided to SSRN, Texas A&M University - Department of Computer Science and Engineering, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 41 (1,170,409)
Citation 1

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AI, wireless optogenetics, brain implants, behavioral neuroscience

3.

Trimer: Transcription Regulation Integrated With MEtabolic Regulation

Number of pages: 21 Posted: 29 Apr 2021
Puhua Niu, Maria J. Soto, Byung-Jun Yoon, Edward R. Dougherty, Francis J. Alexander, Ian Blaby and Xiaoning Qian
Texas A&M University, US Department of Energy Joint Genome Institute, Texas A&M University - Department of Electrical and Computer Engineering, Texas A&M University - Department of Electrical and Computer Engineering, Brookhaven National Laboratory, US Department of Energy Joint Genome Institute and Texas A&M University - Department of Electrical & Computer Engineering
Downloads 30 (1,332,057)

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4.

Robust Importance Sampling for Error Estimation in the Context of Optimal Bayesian Transfer Learning

Number of pages: 33 Posted: 21 Sep 2021
Omar Maddouri, Xiaoning Qian, Francis J. Alexander, Edward R. Dougherty and Byung-Jun Yoon
Texas A&M University - Department of Electrical and Computer Engineering, Texas A&M University - Department of Electrical & Computer Engineering, Brookhaven National Laboratory, Texas A&M University - Department of Electrical and Computer Engineering and Texas A&M University - Department of Electrical and Computer Engineering
Downloads 24 (1,399,036)

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Optimal Bayesian transfer learning (OBTL), classification, error estimation, importance sampling