Li Xingyuan

Li Xingyuan

⛄ Hi there

I graduated from Beijing University of Chemical Technology (BUCT) with a bachelors’degree, currently pursuing the M.S. degrees with the Engineering Research Center of Intelligent Process Systems Engineering, Ministry of Education, Beijing University of Chemical Technology, Beijing, China, advised by Prof. He-Yanlin. My research interests include process data analytics, soft sensor modeling. I am trying to apply deep learning mechanism into industrial process modeling.

World is changing consistently, all i wish is to keep myself real and healthy.

📝 Publications

Engineering applications of artificial intelligence
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Attribute-relevant distributed variational autoencoder integrated with LSTM for dynamic industrial soft sensing

Engineering applications of artificial intelligence (IF=7.802)

Yan-Lin He, Xing-Yuan Li, Jia-Hui Ma, Qun-Xiong Zhu, Shan Lu*,

Journal of Process Control
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A novel virtual sample generation method based on a modified conditional Wasserstein GAN to address the small sample size problem in soft sensing

Journal of Process Control (IF=3.951)

Yan-Lin He, Xing-Yuan Li, Jia-Hui Ma, Shan Lu, Qun-Xiong Zhu*

🎖 Honors and Awards

  • 2022.10 National Scholarship （TOP 1%)
  • 2021.06 Outstanding graduate of Beijing
  • 2020.10 Lingyue Technology Scholarship (Top 5%)
  • 2019.10 Liwen and Yangyan Scholarship (Top 5%)
  • 2018.03 Renmin First Class Scholarship (Top 1%)
  • 2020.04 MCM/ICM Contest Meritorious Winner with Hu Xiao and Luo Jilong

📖 Educations

  • 2021.09 - now, Master, Beijing University of chemical Technology, Beijing.
  • 2017.09 - 2021.06, Bachelor, Beijing University of Chemical Technology, Beijing.
  • 2014.09 - 2017.06, Graduate, Naning No.2 High School, Guangxi.

💻 Internships